MACHINE LEARNING SCIENTIST SKILLS, EXPERIENCES, AND JOB REQUIREMENTS
Reviewed by Lam Nguyen under Editorial Standards
Published: Mar 13, 2026. The Machine Learning Scientist has strong experience in developing and deploying machine learning and deep learning models using Python and modern frameworks such as TensorFlow or PyTorch. This role requires solid theoretical foundations in machine learning and statistics, expertise in handling large-scale data with cloud and big data technologies, and the ability to translate research and business problems into scalable solutions. The scientist also needs strong analytical, problem-solving, and communication skills, along with a proven track record of innovation in research or production environments.
Essential Hard and Soft Skills for a Machine Learning Scientist Resume
- Deep Learning Architectures
- Natural Language Processing
- Computer Vision Modeling
- Predictive Model Deployment
- Feature Engineering Pipelines
- Big Data Systems
- Distributed Computing Systems
- Cloud API Integration
- Experimental Design Methods
- Model Lifecycle Management
- Cross-Functional Collaboration
- Strategic Technical Leadership
- Analytical Problem Solving
- Executive Communication
- Stakeholder Management
- Research Innovation Mindset
- Agile Delivery Management
- Client Relationship Building
- Mentorship Development
- Scientific Writing
Summary of Machine Learning Scientist Knowledge and Qualifications on Resume
1. BS in Artificial Intelligence with 4 years of Experience
- Experience programming in Java, C++, Python or a related language
- Hands-on experience in predictive modeling and large data analysis
- Strong ML breadth and depth
- Strong skills with SQL
- Strong skills with Spark/Python/Perl (or similar)
- Communication and data presentation skills
- Industry experience in predictive modeling and analysis
- Superior ML breadth and depth
- Expert skills with SQL
- Expert skills with Spark/Python/Perl (or similar)
- Superior problem-solving ability
2. BS in Computer Science with 5 years of Experience
- Experience of building machine learning models for business applications
- Experience programming in Java, C++, Python or a related language
- Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, deep learning, NLP, recommendation systems, dialogue systems, information retrieval
- Track record of scientific publications in premier journals and conferences
- Strong problem-solving skills
- Experience handling gigabyte and terabyte-sized datasets
- Skilled with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language
- Professional experience in software development (software design and development life cycle)
- Superior verbal and written communication skills
- Ability to convey rigorous mathematical concepts and considerations to non-experts
3. BS in Software Engineering with 6 years of Experience
- Strong theoretical background in machine learning and two top-tier publications
- Experience in Algorithms, Artificial Intelligence, Distributed Systems, Machine Learning, Data Science or Statistics
- Experience in software development using a general-purpose programming language (e.g., Python, Java, C/C++, C#, Objective-C, and/or Swift)
- Ability to design and implement both independently and with larger teams
- Experience in distributed machine learning architectures and/or federated learning
- Previous experience working with a public cloud infrastructure such as GCP, Azure or AWS
- Experience programming in Java, C++, Python or a related language
- Experience in building machine learning models for business applications
- Familiarity with Spark and cloud services
- Programming skills sufficient to extract, transform, and clean large (multi-terabyte) data sets in a Unix/Linux environment
- Excellent critical thinking skills, combined with the ability to present ideas clearly and compellingly in both verbal and written form
4. BS in Applied Mathematics with 7 years of Experience
- Experience in conversation AI and task-oriented dialogue systems
- Expert knowledge in NLP such as text classification, sentiment analysis, topic modeling, text summarization, ranking, text similarity, tokenization, word/sentence/doc embedding, NER, POS (Part-Of-Speech) tagging and parsing, intent detection, slot filler, dialog flow, KB graph, etc
- Ability to understand the latest research paper in ML/DL/NLP, reproduce published results, build and customize the model for specific use cases
- Hands-on experience in text pre-processing and normalization techniques, such as tokenization, word embedding, NER, POS (Part-Of-Speech) tagging, and parsing and how they work at a low level
- Expertise in machine learning, deep Learning (CNN, LSTM, XLNet, GPT, BERT or other transformer-based models), meta learning, few-shot learning, transfer learning, etc
- Hands-on experience in developing and training models with large-scale text data
- Experience with open-source ML / DL / NLP toolkits such as TensorFlow, Caffe, PyTorch, CoreNLP, OpenNLP, StanfordNLP, SpaCy, AllenNLP, NLTK, gensim, etc.
- Experience in frontier topics such as meta-learning, multimodal learning, multilingual models, and reinforcement learning
- Industry experience in machine learning applications in production
- Strong analytical skills and attention to detail
- Strong mastery of Python or other programming languages, and general software development skills (source code management, debugging, testing, deployment, etc.)
- Deep understanding of English linguistics
5. BS in Data Science with 3 years of Experience
- Deep knowledge of fundamentals and the state-of-the-art, in relevant areas of ML
- Hands-on experience in ML research and ML systems
- Strong coding skills in Python
- Experience with cloud computing services such as AWS
- Experience with programming languages such as Java, Scala, and/or others
- Experience working effectively with research science, data engineering, and software engineering teams
- Proven track record of innovation in creating novel algorithms and applying the state-of-the-art
- Strong verbal and written communication skills
- Strong publication/scientific track record
6. BS in Physics with 6 years of Experience
- Experience in developing predictive and inverse ML models (random forest, support vector machine, neural network, etc.) for materials discovery
- Able to be detail-oriented, able to take initiative, and work well both independently and as a member of a team
- Able to balance competing and changing priorities
- Demonstrate competency in scientific and engineering modeling and analysis tools applicable to the specific tasks
- Demonstrated record of successfully working independently and with minimum supervision as a part of a team in a multi-disciplinary, multi-cultural environment and interacting with people with a variety of expertise
- Possess strong analytical, oral and written communication skills
- Able to analyze and interpret data generated from research, apply data to analysis within the context of scope and direction, and clearly report results
- Proficiency in languages used for querying (e.g., SQL/Hive/Pig/Spark), preprocessing (e.g., Unix/Python), and statistical analysis (e.g., Python/R)
- Experience with various Machine Learning algorithms and Statistical methods
- Passion for working on big data and professional experience in data mining, statistical analysis, predictive modeling, and data manipulation
- Working experience in Financial services or eCommerce
7. BA in Mathematics with 5 years of Experience
- Experience in CS, CE, ML or related field
- Experience programming in Java, C++, Python or a related language
- Proficiency in model development, model validation and model implementation
- Hands-on experience programming in R, Java, C#, C++ or other similar programming languages
- Hands-on experience with scripting languages such as Python, Perl
- Able to work well in a fast-moving team environment and effectively deliver technical implementations with complex dependencies and requirements
- Experience in recommender systems, data mining, machine learning, or artificial intelligence in a commercial setting
- Ability to deal with ambiguity, innovate and simplify
- Experience in search technologies
- Experience in search relevancy systems
8. BA in Economics with 4 years of Experience
- Demonstrated experience and success in delivering large-scale projects
- Track record of developing and implementing models and visualizations using programming and scripting (Scala, Python, R, Ruby, and/or Matlab)
- Experience using various forecasting, machine learning and statistical tools and communicating results, plans and/or risks clearly
- Experience in e-commerce / online companies in fraud/risk control functions
- Experience collaborating with product, operations and engineering teams
- Knowledge of cloud computing and AWS services
- Excellent analytical and communication skills and ability to influence stakeholders
- Experience with applying ML and data science end-to-end in a business context
- Familiar with ML frameworks and related software such as TensorFlow/PyTorch/MXNet, Spark, Pandas
- Expertise in probabilistic programming, causal inference, or demand modeling
9. BS in Industrial Engineering with 6 years of Experience
- Experience in solving problems in computer vision related to object detection, anomaly detection, etc.
- Background in Python and the data science stack (numpy, scikit-learn, etc), and deep learning frameworks such as PyTorch, TensorFlow, etc.
- Should have strong oral and written communication skills
- Should be highly motivated and a self-starter with a strong desire to learn
- Background in X-ray or spectroscopic imaging methods
- Familiarity with deep learning explainability methods
- Image analysis using ImageJ and OpenCV
- Experience in any of the following: Bash, Docker, Git
- Experience in user interface design and implementation
- Prior laboratory testing experience
- Prior experience working for TSA or DHS
10. BS in Biomedical Engineering with 7 years of Experience
- Experience with immunological or genomics data
- Experience with deep learning, particularly self-supervised sequence modeling
- Experience with ML applications for scientific problems, e.g., bioinformatics, protein modeling, or biochemistry
- Track record of novel algorithm development, with publications in leading journals or conferences
- Algorithm implementation experience as well as the ability to modify standard algorithms (e.g., changing objectives, working out the math, implementing and scaling)
- Experience with AWS computing infrastructure for machine learning
- Strong programming skills in at least one object-oriented programming language (Python)
- Experience with common deep learning libraries, such as PyTorch, Keras, or Tensorflow
- Deep learning and representation learning
- Strong analytical and problem-solving skills
- Strong algorithmic and coding skills
- Work and collaborate well with team members
- Ability to organize and lead teams and projects
11. BS in Robotics with 3 years of Experience
- Hands-on experience in predictive modeling and large data analysis
- Experience using R/SAS and SQL in a Linux/UNIX environment
- Experience with Python
- Strong communication and data presentation skills
- Strong problem-solving ability
- Experience with NLP, NLU, Machine Translation methods and Deep Neural Networks
- Industry experience in predictive modeling and large data analysis
- Proven record of delivering results
- Strong skills with Python and Java
12. BA in Cognitive Science with 4 years of Experience
- Working experience in programming in languages such as Python or Java
- Working experience in academic and industrial research
- Solid software development experience and problem-solving skills
- Ability to design and execute on a research agenda
- Experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
- Code writing capability in any programming language (Python, R, Java, Scala, etc.) and familiarity with relevant ML packages
- Working experience in GCP/Hadoop and big data
- High-level communication skills
- Team player, responsible, delivery-oriented
- Excellent spoken and written English
13. BS in Industrial Engineering with 6 years of Experience
- Proven track record of publishing in top-tier machine learning and AI conferences and journals (e.g., NeurIPS, ICML, AAAI, ICDM, KDD, JMLR)
- Ability to clearly describe the corresponding research contributions
- Experience with machine learning in academia or industry
- Strong mathematical and conceptual understanding of machine learning and AI
- Familiarity with modern machine learning and optimization toolkits
- Strong proficiency in Python, Java or C/C++
- Experience as a hands-on expert-level practitioner of machine learning
- Strong coding experience in Python and SQL, with experience with open source ML packages
- Track record of innovation and having taken large machine learning-based products and features from conception to successfully delivering value to customers in production
- Excellent communication skills and an ability to translate business context and intuition into data-oriented hypotheses to drive impact
14. BS in Computer Science with 5 years of Experience
- Ability to design an applied research plan for a product family from scratch as evidenced by a peer-reviewed publication or similar track record
- Strong relevant work or academic experience, involved in the development and application of Machine Learning
- Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, and software development
- Experience collaborating cross-functionally in the development of machine learning products (e.g., developers, UX specialists, Product Managers, etc)
- Strong working knowledge of Python, Hadoop, SQL, Spark or similar big data technologies
- Excellent English communication skills, both written and verbal
- Development experience in Python, Java, or other high-level programming languages
- Strong sense of ownership and drive
- Experience with deep learning frameworks
15. BS in Applied Mathematics with 7 years of Experience
- Experience using Python, pyspark, or Scala (outside coursework)
- Proficient in the usage of databases (e.g., Teradata, Snowflake, S3) and querying languages (e.g., SQL, Spark SQL)
- Advanced programming skills with R, Python, and other Scripting languages
- Experience working in containerization ecosystems (Kubernetes or Docker)
- Advanced data science toolsets (e.g., TensorFlow, pytorch, scikit learn)
- Experience developing and employing model risk management strategies (model registry, concept/covariate drift monitoring, Hyperparameter tuning)
- Experience deploying products using technologies like Spark and Airflow
- Experience using advanced computing technologies (e.g., GPUs)
- Familiarity with programming languages such as Python, C/C++
- Industry experience in machine learning research projects
- Extensive hands-on experience in deep learning and speech synthesis
- Experience with end-to-end agile software development
- Ability to communicate complex technical concepts and solutions to all levels of the organization
16. BS in Artificial Intelligence with 4 years of Experience
- Experience with programming languages
- Strong hands-on experience in AI/ML algorithms for computer vision applications
- Knowledge of Deep learning libraries (TensorFlow, PyTorch, Caffe)
- Knowledge in AI/ML algorithms in X-ray imaging or high dynamic imaging
- Knowledge of statistics and modeling
- Practical experience applying Deep Learning and Machine Learning to solve real-world problems or relevant quantitative and qualitative research and analytics experience
- Experience with SQL and AWS
- Experience using a programming language (Python, C/C++, Matlab) for Machine Learning or a statistical computer language (R, Python, SQL) to manipulate data and draw insights from large data sets
- Experience in Machine Learning and Deep Learning libraries such as TensorFlow, Keras, MXNet, PyTorch or Scikit-Learn
- Experience in effectively collaborating across science disciplines, IT and Engineering to deliver scalable, end-to-end solutions
17. BS in Software Engineering with 6 years of Experience
- Experience with building machine learning models for complex business applications
- Extensive knowledge and practical experience in several of the following areas: machine learning, deep learning, statistics, NLP, recommendation systems, signal processing
- Experience with Python, R, SAS, Matlab or other statistical/machine learning software
- Experience in efficiently handling large data sets, e.g., by using SQL and databases in a business environment
- Experience developing experimental and analytic plans for data modelling processes, use of strong baselines and the ability to accurately determine cause and effect relationships
- Ability to clearly communicate insights, in verbal and written form, to stakeholders (scientists, engineering teams and business audiences) and senior management
- Strong troubleshooting and problem-solving skills
- Experience working with language data, speech recognition and/or natural language processing (NLP)
- Good understanding of state-of-the-art NLP models (bi-LSTM, BERT, RoBERTa, GTP-2/3, etc.)
- Experience in writing academic-style papers for presenting both the methodologies used and the results for data science projects
- Strong attention to detail and experience in balancing multiple tasks and deadlines
18. BS in Data Science with 3 years of Experience
- Experience building deep-learning models for NLP, Computer Vision and recommender systems
- Proficient in programming using Python (pytorch/TensorFlow), SQL
- Strong analytical and problem-solving skills
- Passion to learn from peers, manager and other stakeholders
- Ability to interact with peers and stakeholders to drive product and business impact
- Acknowledge the presence of choice in every moment and take personal responsibility for life
- Possess an entrepreneurial spirit and continuously innovate to achieve great results
- Able to communicate with honesty and kindness and create the space for others to do the same
- Able to lead with courage, knowing the possibility of greatness is bigger than the fear of failure
19. BS in Statistics with 2 years of Experience
- Experience with statistical computing environments such as R, scikit-learn, SparkML, Python (pandas), etc.
- Knowledge and experience in one or more database technologies, including SQL and other relational databases, NoSQL, and Time Series databases
- Understand distributed file systems, scalable datastores, distributed computing and related technologies (Spark, Hadoop, etc.)
- Implementation experience of MapReduce techniques, in-memory data processing, etc.
- Familiarity with some of the following: Spark/PySpark, MLlib, TensorFlow, Keras, PyTorch, Caffe, Python ML libs (Pandas, Matplotlib, Scipy, Sklearn, Numpy, etc)
- Effective communication and the ability to engage with a variety of partners (e.g., internal, external, technical, non-technical people)
- Familiarity with cloud computing, AWS specifically, in a distributed computing context
- Good knowledge of machine learning fundamentals, as well as expertise in at least one of the following: graph representation learning, generative models, geometric deep learning, reinforcement learning
20. BS in Computer Engineering with 8 years of Experience
- Industry experience as a machine learning scientist or a data scientist
- Strong analytical and quantitative skills
- Familiar with techniques in machine learning, auctions and bidding systems, NLP, and/or related fields
- Previous history of writing and reviewing technical papers
- Ability to come up with creative solutions and quickly prototype them
- Strong communication abilities and willingness to lead and inspire other engineers
- Competency in commonly used programming languages such as Python, Java, or Scala
- Post-academic experience in a Machine Learning role
- Advanced hands-on coding skills with Python
- Advanced experience with Machine Learning applications and neural networks
- Expert-level familiarity with TensorFlow and differentiable programming
- Advanced experience with Deep Learning, Reinforcement Learning, Natural Language Processing, and Math
- Experience with Classical Controls
- Able to understand and articulate complex technologies/products to both technical and non-technical stakeholders
- Experience with Hardware
21. BS in Physics with 6 years of Experience
- Proficiency in algorithm and model development, validation, and implementation for large-scale applications
- Experience with NLP algorithms (e.g., BERT and transformer-based models, topic models) and libraries (e.g., PyTorch, HuggingFace, Tensorflow)
- Experience with cloud-based model and/or container deployment technologies (e.g., AWS Sagemaker, Fargate, ECS, GCP, Azure, Kubernetes, Docker)
- Experience in defining research and development practices in an applied environment
- Experience working on fairness in artificial intelligence/machine learning systems, including counterfactual analysis, constrained optimization, and dataset de-biasing
- Ability to convey rigorous mathematical and science concepts and considerations to non-experts
- Excellent written and oral communication skills
- Strong publication record and experience contributing to research communities, including conferences like NeurIPS, ICML, ICLR, AISTATS, UAI, CVPR, ACL, etc
- Strong programming skills in languages like C/C++, Python, Java, Scala, or Go
- Experience with one or more of the following: PyTorch, TensorFlow, JAX
22. BS in Biomedical Engineering with 7 years of Experience
- Experience bringing large-scale Computer Vision projects from the research stage to production
- Experience in Neural Networks, e.g., PyTorch, TensorFlow, etc.
- Excellent knowledge of Python along with packages like NumPy, pandas, Scikit-learn and Matplotlib
- Experience in leading a team in an agile environment
- Enjoys passing on knowledge to colleagues by mentoring and teaching them
- Experience in Generative Models
- Hands-on experience in one or more of the fields of data science, computer vision, machine learning, and artificial intelligence
- Hands-on experience with a broad range of technology systems
- Able to work with any of the following AI/machine learning frameworks and libraries: Tensorflow, OpenCV, Caffe, Amazon Machine Learning, Apache Singa, Torch, Scikit-learn, Microsoft CNTK, Apache Mahout, SQL, d3.js, map-reduce, R, as well as open source and other emerging technologies/frameworks programming languages and scripting methods including: Python, C, C++, Java, .NET, Bash
- Hands-on experience with revision control systems such as git
- Hands-on experience with writing and maintaining automated tests (unit, integration, stress, load, etc.)
- Knowledgeable and have hands-on experience with agile, continuous integration, and continuous delivery practices
23. BS in Bioinformatics with 5 years of Experience
- Experience in using machine learning methods to solve problems involving complex/high - dimensional data (e.g., image, click-streams, text, video, speech, time series)
- Understanding of the retail, marketing, and/or ecommerce industry
- Comfortable working in a Python data science tech stack (e.g., pandas, NumPy, Dask, scikit-learn, Keras, PySpark, PyTorch)
- Experience accessing and combining data from multiple sources and building data pipelines, including a good knowledge of SQL
- Understanding of software development lifecycles and engineering practices (Data pipelines, API workflows, CI/CD deployments) alongside ML (DataOps, MLOps)
- Solid understanding of statistics (hypothesis testing, regressions, random variables, inference)
- Ability to work collaboratively and proactively in a fast-paced environment alongside both scientists, engineers and non-technical stakeholders
- Strong algorithm design and coding skills in at least one of the major programming languages like Java, C/C++, Python
- Experience working with real data
- Strong interpersonal skills, both written and oral
24. BS in Industrial Engineering with 6 years of Experience
- Experience programming in Java, C++, Python or a related language
- Experience with the full development life cycle for large-scale software products
- Experience with service-oriented architectures, design patterns, web services, and web applications/services development
- Strong publication record at top conferences and journals
- Extensive experience applying theoretical models in an applied environment
- Proven track record of delivering large-scale machine learning, speech, language understanding, search and/or personalization applications, or leading successful research projects in one or more of these fields
- Strong fundamentals in problem solving, algorithm design and complexity analysis
- Proven excellence in Data Science projects in a commercial setting
- Fluent in Python and/or PySpark, experience with Keras and sklearn, knowledge of Scala
- Experience with data technologies and deploying solutions to production
- Adaptable, flexible and quick to learn new concepts
- Excellent written and verbal communication
25. BA in Cognitive Science with 4 years of Experience
- Hands-on experience with ML in a commercial environment, building datasets, selecting and engineering features, building and optimizing algorithms
- Experience in several of the following domains: Recommender Systems, Deep Learning, Learn-to-Rank, Regression, Classification, Clustering
- Experience with ML packages such as TensorFlow, PyTorch, Keras, Python (scikit-learn, pandas, numpy, scipy, Matplotlib), Spark MLlib, etc
- Experience with distributed data on Spark, Hadoop or similar platform
- Good data manipulation skills including cleaning and managing data
- Good programming practices, ability to write readable, fast code
- Intellectual curiosity and desire to learn new things, techniques and technologies
- Knowledge of test design, implementation and evaluation, with website A/B testing experience
- Experience with data visualization tools and packages
26. BS in Computer Science with 5 years of Experience
- Experience with Python, Tensorflow, PyTorch, or similar ML framework
- Proficiency in mathematical foundations behind ML such as linear algebra, multivariate statistics, and optimization
- Experience in natural language processing
- Familiarity with best practices in large-scale DL training/inference
- Pragmatic attitude and ability to rapidly iterate and evolve ideas into practical implementations
- Excellent communication and interpersonal skills
- Strong interest in e-commerce and strong desire to have a commercial impact
- Experience with cloud computing and deep learning
- Experience in e-commerce or retail
- Experience building high availability, low latency, and high throughput systems
- Experience collaborating closely with a distributed, international team
27. BS in Applied Mathematics with 7 years of Experience
- Hands-on experience and solid understanding of machine learning and deep learning methods
- Solid background in time series analysis, speech recognition or NLP
- Extensive experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
- Scientific thinking and the ability to invent
- Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
- Experience with big data and scalable model training
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
- Curious, hardworking and detail-oriented, and motivated by complex analytical problems
- Ability to work both independently and in highly collaborative team environments
- Strong background in Mathematics and Statistics
- Knowledge in Reinforcement Learning or Meta Learning
- Ability to develop and debug production-quality code
- Familiarity with continuous integration models and unit test development
- Familiarity with the financial services industry
28. BS in Software Engineering with 6 years of Experience
- Passion for the healthcare industry as well as novel technologies such as AI and advanced computing
- Minimum Master's degree in Computer Science, Biomedical Engineering, Electrical Engineering, Engineering Physics, Mathematics, Statistics, or another technical discipline
- Strong background in fundamental machine learning including classification, regression, clustering, etc.
- Experience working with computer vision or natural language processing projects
- Strong programming skills with Python
- Experience of machine learning, scientific computing, and data analysis Python packages (e.g., Tensorflow, PyTorch, Numpy, Scipy, Scikit-learn, Pandas)
- Experience with data exploration, data cleaning and data processing techniques
- Experience with state-of-the-art deep neural network-based techniques
- Demonstrated strong analytical and decision-making skills
- Excellent project management skills and the ability to adapt to a fast-paced, Agile environment with changing priorities
- Strong communication and critical thinking skills
- Excellent people and management skills in interacting with staff, colleagues, cross-functional teams and third parties
29. BS in Artificial Intelligence with 4 years of Experience
- Industry experience as a machine learning scientist or a data scientist
- Strong analytical and quantitative skills
- Familiar with techniques in machine learning, deep learning, NLP, computer vision and or related fields
- Strong technical and programming skills
- Experience in machine learning, data mining, recommendation systems, learning to rank, deep learning, natural language processing and related fields
- Strong technical skills in programming
- Familiarity with relevant technologies (e.g., Python, Java, etc.)
- Experience with big data technologies such as Hadoop/Spark
- Previous history of writing and reviewing technical papers
- Ability to come up with creative solutions and quickly prototype them
- Strong desire to collaborate and develop new technologies
30. BA in Mathematics with 5 years of Experience
- Strong leadership competencies including the ability to champion the strategy, drive an inspiring culture, build trust and deliver customer-focused innovation
- Strong fundamentals and understanding of theoretical and applied machine learning
- Experience working on applied machine learning projects in the industry
- People management experience with a demonstrated record of guiding, coaching, and empowering a team to do their best work
- Ability to confidently guide client conversations and communicate complex technical topics to all stakeholders
- Up-to-date knowledge of data science best practices in industry and strong engineering and analytical skills
- Experience deploying machine learning models with production-quality code in the industry
- Experience with DevOps and tools such as cloud platforms, containerization, CI/CD, etc
- Experience working through and contributing to various stages of the product development lifecycle
- Theoretical knowledge and practical experience with advanced statistical and machine learning analysis techniques
31. BS in Industrial Engineering with 6 years of Experience
- Proficiency in Python and PyTorch (or another deep learning framework)
- Good track record of scientific achievement and publication
- Experience of applying ML within the biological domain
- Experience in deploying machine learning models for commercial production and/or large-scale academic projects
- Experience with model development and deployment in AWS
- Experience with natural language processing techniques, particularly applied to protein sequences
- Experience with graph neural network architectures
- Experience with ML on biological data
- Strong publication record and experience contributing to research communities, including conferences like NeurIPS, ICML, ICLR, AISTATS, UAI, CVPR, etc
- Strong Python programming skills
- Experience with at least one DL framework (Pytorch), keen to build unconventional models, a knack for getting things to work
32. BS in Biomedical Engineering with 7 years of Experience
- Experience and strong technical background in one or more of the following: Machine Learning, Natural Language Understanding, Computer Vision, Data Mining, Artificial Intelligence, Numerical Optimization, Data Engineering.
- Industry experience building, iterating, validating, and deploying statistical and/or machine learning models.
- Software development experience using general-purpose programming languages like Python, Java, or C/++, C#
- Experience working with large data sets
- Experience in training Machine Learning models on libraries such as Tensorflow, PyTorch, Scikit-learn
- Strong theoretical background in machine learning/artificial intelligence, algorithms, distributed systems, or statistics
- Experience training machine learning models in a cloud computing environment like Amazon EC2, Google Cloud Platform, Microsoft Azure, etc.
- Experience in machine learning and statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering, and experimental design
- Experience taking research prototypes to production
- Knowledge of the transportation and logistics industry
- Proven object-oriented design and implementation skills (Python, Java, and C++),
- Strong research track record with contributions to research communities via publications in top conferences and journals and code contributions in open source communities such as scikit-learn, CLTK, NLTK, etc.
33. BA in Cognitive Science with 4 years of Experience
- Experience in addressing research problems and being able to frame research ideas to fit business purposes
- Experience with one or several of the deep learning frameworks, like PyTorch or TensorFlow
- Solid programming skills in Python and knowledge of algorithms and data structures
- Exceptional English skills, both spoken and in writing
- Strong background in machine learning and artificial intelligence with expertise in one or more of computer vision, NLP, speech, optimization, deep learning, reinforcement learning, time series, generative models, signals, and distributed systems
- Knowledge of common ML frameworks
- Passion for making ML methods robust and scalable
- Strong programming skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions
- Ability to explain and present analyses and machine learning concepts to a broad technical audience
- Able to deliver ML technologies aligned with the core values of Apple, ensuring the highest standards of quality, innovation, and respect for user privacy
34. BS in Physics with 6 years of Experience
- Experience in NLP, Data Science, analytics and/or engineering fields
- Expert knowledge of programming languages such as Python, R, or Scala and the Hadoop ecosystem
- Proven knowledge of processing and analyzing large-scale data volumes, semi-structured and unstructured data and near real-time throughput
- Strong knowledge and expertise in TensorFlow and/or PyTorch
- Knowledge of the following languages: Spanish, French, Italian, Portuguese, German, Japanese, Arabic
- Deep subject matter expertise in one or more areas of ML/AI (e.g., Recommender Systems, Deep Learning, Forecasting, Natural Language Processing, Computer Vision)
- Ability to define a machine intelligence strategy on a product family by identifying short-term development steps that create immediate business value and build upon each other to create longer-term differentiation
- Ability to design an applied research plan from scratch as evidenced by a peer-reviewed publication or a similar track record
- Ability to execute end-to-end research and development plans and generate impact through large-scale machine learning model development
- Deep Relevant work or academic experience, involved in the development and application of Machine Learning
- Strong working knowledge of big data technologies
35. BS in Bioinformatics with 5 years of Experience
- Experience working as a professional data or research scientist
- Expertise in causal inference and interest in bringing best-in-class solutions to the e-commerce space
- Track record of influencing non-technical stakeholders on strategic direction by leveraging data-driven insights
- Excellent written and verbal communication
- Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization
- Proficient in one or more programming languages, e.g., Python, R, etc.
- Experience with GCP (BigQuery, GCS, Dataproc, Notebooks), Airflow, and containerization (Docker)
- Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc.
36. BS in Applied Mathematics with 7 years of Experience
- Strong publication record and experience contributing to research communities, including conferences like NeurIPS, ICML, ICLR, AISTATS, UAI, CVPR, etc
- Strong Python programming skills
- Working experience in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, or related fields
- Thorough knowledge of AI, deep learning, and machine learning algorithms with demonstrated experience, including excellent knowledge of the mathematical underpinnings behind these algorithms
- Deep Programming experience with Python, C/C++, Java, JavaScript or other related resources
- Experience in using multiple data sources to develop strategies with outputs that are insightful and actionable
- Excellent interpersonal, communication, and presentation skills as well as the ability to work in a global team
- Strong background in two or more of the following areas: machine learning/AI algorithms, computations/statistical learning theory, scalable systems (e.g., Spark, Hadoop), large-scale data analysis, optimization, functional analysis and deep learning
- Experience in deep learning frameworks (e.g., Tensorflow, MxNet) and large-scale optimization
- Demonstrated success in integrating AI into innovative product architectures
- Demonstrated ability to drive innovation from incubation to product
- Demonstrated ability in the application of Machine Learning/AI in real-world industrial settings with large-scale data
- Familiarity with agile execution methodologies
37. BS in Artificial Intelligence with 4 years of Experience
- Experience with big data technologies, such as Hive and Spark
- Track record of leading the deployment and maintenance of models
- Ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Java, C++ or C#
- Experience with one or more common statistical tools such as SAS, R, KNIME, and MATLAB
- Excellent understanding of algorithms and data structures
- Excellent analytical and problem-solving capability, combined with the ambition to solve real-world problems
- Excellent verbal and written communication skills
- Deep learning experience with TensorFlow
- Experience with Natural Language Processing
- Experience working with large datasets using tools like Hadoop, MapReduce, Pig, or Hive
38. BS in Software Engineering with 6 years of Experience
- Experience working on hands-on machine learning algorithms
- Hands-on experience in implementing and training machine learning algorithms and statistical analysis
- Understanding of mathematical foundations of machine learning, including statistics, linear algebra, or computer science
- Software tool development experience such as source control (git), packaging, and documentation
- Demonstrated ability to work in a team
- Demonstrated track record of scientific publications in machine learning or a related field
- Previous working on health-related fields (e.g., biomedical informatics, bioinformatics, biomathematics)
- Experience working in an interdisciplinary environment, particularly across engineering and medicine
- Experience with cloud computing
- Experience communicating with and briefing senior executives
- Comfortable working in a fast-paced, highly collaborative and fluid work environment
39. BS in Computer Science with 5 years of Experience
- Strong problem-solving and communication skills
- Proven track record of building and implementing machine learning solutions
- Experience in leading cross-functional, highly complex Data Science projects
- Data Mining experience in Python, R, H2O and/or SAS
- Familiar with various Machine Learning algorithms and Statistical methods
- Passion for working on big data and professional experience in data mining, statistical analysis, predictive modeling and data manipulation
- Ability to deal with a large amount of data and fluency with SQL or SQL-like tools
- Working experience in Financial services or eCommerce
- Strong publication record and experience contributing to research communities, including conferences like NeurIPS, ICML, ICLR, AISTATS, UAI, CVPR, ACL, etc.
- Strong programming skills in languages like C/C++, Python, Java, Scala, or Go
- Experience with one or more of the following: PyTorch, TensorFlow, JAX
40. BS in Biomedical Engineering with 7 years of Experience
- Excellent applied statistics skills, such as hypothesis testing, experimental design, sample size determination, power analysis and non-parametric statistics
- Experience with large data systems and distributed computing, such as Hadoop
- Experience with common data science toolkits, such as R, pandas, dplyr, NumPy, etc.
- Experience with data visualization tools, such as GGplot, etc.
- Knowledge of and/or experience in Bayesian methods and probabilistic models
- Proficiency in using queries, including SQL and Hive
- Experience with programming languages such as Scala, Spark or Python
- Great communication skills and ability to explain findings in layperson terms
- Keep up-to-date with the latest technology trends
- Able to understand various data structures and common methods in data transformation
- Industry experience in Applied Machine Learning including developing and shipping ML-powered features at scale
41. BS in Information Technology with 6 years of Experience
- Experience of building machine learning models for business applications
- Knowledge in modern information retrieval systems and/or search systems
- Fundamentals in problem solving, computer science, algorithm design, complexity analysis, mathematics and statistics
- Proficiency in at least one major programming language (Java, C++, Python, Scala or similar)
- Good verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts
- Previous work in information retrieval or Search
- Proven track record of publication in Tier 1 ML and/or Information Retrieval conferences
- Practical experience in building and evaluating models using major libraries such as MxNet, TensorFlow or Scikit-Learn
- Experience in scripting languages
- Experience working on gigabyte and terabyte-sized datasets
- Experience working in text processing, data mining, and/or data visualisation
Professional Skills FAQs
What are professional skills?
Professional skills are abilities that help individuals perform tasks effectively in a workplace environment. These skills include both technical competencies required for specific roles and soft skills such as communication, teamwork, and problem solving.
What is the difference between hard skills and soft skills?
Hard skills are technical abilities learned through education or training, such as programming, data analysis, or laboratory testing. Soft skills refer to interpersonal abilities like communication, leadership, adaptability, and teamwork.
Why are professional skills important for careers and resumes?
Professional skills help employers evaluate whether a candidate can perform job responsibilities effectively. Listing relevant skills on a resume demonstrates qualifications and helps applications pass Applicant Tracking Systems used in modern hiring processes.
What professional skills do employers look for?
Employers usually value a combination of technical expertise and transferable workplace skills. Common examples include analytical thinking, communication, teamwork, leadership, time management, adaptability, and digital literacy.
How can professionals develop professional skills?
Professionals can develop skills through continuous learning, training programs, certifications, mentorship, and practical work experience. Staying updated with industry trends also helps individuals maintain relevant and competitive skills.
Editorial Process
Lamwork content is developed through structured review of publicly available job postings and documented hiring trends.
Editorial operations are managed by Thanh Huyen, Managing Editor, with research direction and final oversight by Lam Nguyen, Founder & Editorial Lead. Content is periodically reviewed to reflect observable labor market changes.