APPLIED SCIENTIST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Reviewed under Editorial Standards by Lam Nguyen

Updated: July 31, 2024 - The Applied Scientist possesses extensive experience in predictive modeling and data analysis, with proficiency in programming languages like Python, Java, and C++. This role involves applying machine learning expertise in healthcare and life sciences, supported by a solid publication record in areas such as natural language processing and health analytics. The position demands the ability to lead projects from conception to launch, leveraging skills in object-oriented programming and experience with clinical health data.

Summary of Applied Scientist Knowledge and Qualifications on Resume

1. BA in Computer Science with 3 years of Experience

  • Ability to prioritize work independently to meet deadlines while managing changing priorities to meet customer’s needs.
  • Work independently on projects that will be both strategic and tactical in nature.
  • Ability to provide strategic direction using innovation and creative solutions.
  • Use effective internal/external influencing, interpersonal skills, negotiation and conflict management skills to resolve relationship and project issues
  • Programming Skills in Python, R or similar.
  • Experience working at a large pharmaceutical company.
  • Prior experience in creating visualizations for Analysis
  • Analytical Data Systems such as LIMS, ELN, LES and Empower
  • Programming knowledge in a scripting language, R, or Python for data manipulation and analysis.
  • Experience in DashboardVisualization Tools such as Tableau, Spot for, Click, Databases
  • Detail-oriented, highly organized and able to manage multiple tasks

2. BS in Data Science with 3 years of Experience

  • Programming experience in general purpose programming languages like C#, C++, Java, Python.
  • Experience in Machine Learning / Computer Vision / NLP. 
  • Computer Vision background.
  • Effective communication skills and ability to work in a collaborative environment.
  • Embrace engineering excellence and deliver quality results at scale.
  • Experience in building large-scale machine learning, data science, and analysis applications.
  • Experience in Python (or similar language).
  • Experience with other languages like Ruby, R or C++.
  • Working knowledge of ML, NLP, and algorithm design and concepts.
  • Experience with Python libraries for NLP like spaCy, gensim and/or nltk.
  • Experience with Python deep-learning packages such as TensorFlow, PyTorch or Keras.
  • Experience analyzing and improving service efficiency and reliability.
  • Passion for learning new technologies and sharing learning with colleagues.
  • Excellent technical communication skills.

3. BA in Computer Engineering with 2 years of Experience

  • Hands-on experience in predictive modeling and machine learning
  • Proficiency in model development, model validation and model implementation
  • Proficiency in working with R or Python
  • Experience leading, mentoring, and growing teams of scientists
  • Extensive knowledge and practical experience in several of the following areas: machine learning, time-series, statistics, deep learning, recommendation systems.
  • Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data.
  • Practical experience with big-data processing libraries, eg. Apache Spark, Apache Beam, Hive, Apache Pig, Hadoop or similar
  • Collaborative ability to work with engineering teams to rapidly develop, test, and monitor systems.
  • Experience contributing to development and release planning.
  • Experience building and operating a large-scale production service.

4. BA in Machine Learning with 2 years of Experience

  • Experience in CS, CE, ML or related field
  • Experience programming in Java, C++, Python or related language
  • Experience with predictive modeling and analysis
  • Experience with applying various machine learning techniques including supervised/unsupervised learning, deep learning, and reinforcement learning
  • Publication record at ML conferences and journals
  • Experience building large scale production software system
  • Strong publication record at top ML conferences and journals
  • Strong verbal and written communications skills
  • Experience presenting complex technical information, succinctly, to technical and non-technical audiences

5. BS in Computer Science with 3 years of Experience

  • Hands-on experience (academic or industrial) in predictive modeling and large data analysis.
  • Coding and problem-solving in at least one programming language such as Python, Java, C++, etc.
  • Working knowledge of web-scale data processing.
  • Sound theoretical understanding of broad machine learning concepts
  • Deep and demonstrable expertise in at least one topic or application of machine learning.
  • Experience as an applied scientist or a data scientist at a Healthcare and Life sciences product company.
  • Experience using an object-oriented language to write production-ready code.
  • Strong record of publications in one of the following areas: natural language processing, analytics, risk adjustment, population health
  • Industry experience working with clinical health data
  • Ability to take a project from scoping requirements through actual launch of the project

6. BS in Data Science with 4 years of Experience

  • Experience in the operations, general management or engineering fields
  • Experience in statistical modeling using R Python, SAS, Minitab or similar tools and optimization using Xpress, Cplex or other similar solver tools.
  • Experience in supply chain or transportation operations.
  • Strong analytical skills including SQL, including the ability to pull data and use data to identify and solve ambiguous problem
  • Experience with operations and delivery methodologies such as Lean/Six Sigma
  • Technical aptitude and familiarity with the design and utilization of complex systems
  • Knowledge of Java, Python, R, Tableau, and SQL.
  • Superior professional written and communication skills
  • Experience working in data science in a consumer product company managing Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, and/or Economists
  • Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval

7. BS in Computer Engineering with 5 years of Experience

  • Skilled with Java, C++, or other programming language, as well as with R, SAS, MATLAB, Python or similar scripting language
  • Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
  • Advanced knowledge and expertise with Data modeling skills, Advanced SQL with Oracle, MySQL, and Columnar Databases
  • Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes
  • Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing.
  • Deep understanding of data, application, server, and network security
  • Advanced knowledge of Java, Python, Tableau and R.
  • Functional knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker.
  • Advanced knowledge of machine learning algorithms such as XGBoost, LightGBM, ElasticNet.

8. BA in Machine Learning with 6 years of Experience

  • Breadth and depth knowledge of ML learning algorithms.
  • Familiarity with programming languages such as Python, Java, C/C++ or Perl.
  • Proven track record of successfully applying ML-based solutions to complex problems in business, science, or engineering.
  • Experience in building natural language processing, natural language understanding and dialogue systems (e.g., commercial products or government projects)
  • Solid Machine Learning background and hands-on experience with neural deep learning methods.
  • Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
  • Solid software development experience.
  • Good written and spoken communication skills.
  • Have the ability to work individually (independently) as well as on a team
  • proficient with Microsoft Office, Word, Excel (including a high proficiency with generating pivot tables and graphs), and PowerPoint, and have strong oral and written communication skills.
  • Additional technical competencies in Sharepoint and other information technology systems are highly desirable

9. BA in Computer Engineering with 3 years of Experience

  • Experience investigating complex adaptive systems.
  • Have a consistent record of effective and inclusive technical leadership.
  • Fluent in MATLAB and Python, proficient with C, and have a command of Distributed Version Control methods.
  • Proficient in expressing ideas to a wide audience of varying technical abilities.
  • Willing and able to occasionally travel for work. 
  • Hold an Interim Top Secret security clearance. 
  • Subject to a government security investigation and must meet the requirements for access to classified information. 
  • Eligibility requirements include U.S. citizenship.
  • Have explicit experience working with sponsors from NAVSEA or ONR to define technical programs
  • Have demonstrated technical competence in decentralized autonomous coordination algorithms.
  • Have a strong publication record
  • Experience investigating the feasibility of applying scientific principles and concepts to business problems and products.
  • Strong verbal and written communication skills.

10. BA in Data Science with 2 years of Experience

  • Experience applying Machine Learning techniques
  • Experience coding in Python, C++, C#, C or Java
  • Knowledge of information retrieval, data mining, deep learning or related field.
  • Experience with machine learning frameworks such as TensorFlow or PyTorch
  • Customer focused, strategic, drives for results, self-motivated, and has a propensity for action.
  • Fantastic problem solver: ability to solve problems that the world has not solved before.
  • Familiar with proposal writing and have successfully competed for research funding.
  • Hold an active Top Secret security clearance.
  • Subject to a government security investigation and must meet the requirements for access to classified information. 
  • Eligibility requirements include U.S. citizenship

11. BA in Data Science with 2 years of Experience

  • Strong understanding of modern machine learning techniques and mathematical concepts.
  • Professional experience in research, data science or engineering around build and shipping machine learning or statistical models.
  • Self-starter with a passion and curiosity for solving unstructured mathematical problems
  • Excellent software engineering skills in an interpreted language like Python, R or MATLAB
  • Have a strong understanding of basic computer vision models. 
  • Possess the ability to convert research papers into code develop models and optimize them to high-performance production technologies.
  • Experience in the role outside of grad school coursework and projects. 
  • Experience with deep learning frameworks such as PyTorch, TensorFlow, and JAX.
  • Proficiency in Python or C/C++, problem solving ability.
  • Experience in machine learning and reinforcement learning.
  • Published papers at ICLR, NeurIPS, ICML, AISTATS, UAI, AAAI, or similar top-tier conferences and journals.

12. BA in Computer Science with 2 years of Experience

  • Experience in machine learning technologies, especially in content understanding
  • Experience with some machine learning frameworks: TF, PyTorch, Scikit, MLPack, Caffe
  • Education and Intern Experience in building, validating and evaluating of machine learning model
  • Education and Intern Experience in building distributed systems
  • Education and Intern Experience with Spark, big data processing, and Hadoop.
  • Hands-on Education and Intern Experience with Java, Python, and/or C++.
  • Knowledge of Matlab, R and other tools.
  • Exposure to Docker, Containerization, AWS.
  • Exposure to Web services, micro-services, and REST.
  • Education and Intern Experience in RDBMS and NoSQL databases.
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.

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