APPLIED SCIENTIST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

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.
Relevant Information
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