DATA SCIENTIST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Published: Jun 04, 2025 - The Data Scientist demonstrates expertise in machine learning, artificial intelligence, statistical modeling, and data analysis using tools like Python, R, SAS, and SQL. This position possesses strong knowledge of cloud technologies, financial services and excels in solution design, cross-functional collaboration, and complex problem-solving. This role delivers high-impact results through exceptional analytical and communication skills, with the ability to engage diverse audiences and maintain strong professional relationships.
Essential Hard and Soft Skills for a Standout Data Scientist Resume
- Machine Learning
- Predictive Modeling
- Statistical Analysis
- Data Management
- Data Pipeline
- Algorithm Development
- Data Visualization
- Exploratory Analysis
- Model Execution
- Data Integration
- Stakeholder Collaboration
- Presentation Skills
- Cross-Functional Collaboration
- Project Management
- Team Leadership
- Business Insights
- Mentoring Skills
- Continuous Improvement
- Problem Decomposition
- Insight Communication
Summary of Data Scientist Knowledge and Qualifications on Resume
1. BS in Data Science with 4 years of Experience
- Experience with Probability and Statistics
- Experience with Data Modeling and Evaluation
- Experience with Big Data and Machine Learning
- Experience in programming skills in Python, R, Scala or Java for Python Expert
- Ability to consume and deploy data via APIs
- Experience in applying supervised, unsupervised and semi-supervised learning techniques
- Experience with Machine Learning pipeline including data ingestion, feature engineering, modeling including ensemble methods, predicting, explaining, deploying and diagnosing over-fitting
- Experience in model selection and sampling
- Experience with a data visualization platform like Tableau, Looker, etc
- Statistical knowledge including A/B testing, statistical inference, interpretation of data, etc.
2. BA in Statistics with 7 years of Experience
- Experience in applying data science techniques to drive technical product development and decision-making
- Strong technical background in statistics, math, computer science, information science, or another quantitative field
- Fluency in at least one data processing and programming language (e.g. Python, Scala)
- Proficiency with relational data modeling and SQL
- Expertise in statistical methods and experimental design and analysis
- Familiarity with distributed data processing systems (e.g. Spark, Redshift)
- Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning
- Experience collaborating with teammates in other locations
3. BS in Computer Science with 3 years of Experience
- Proficiency with databases and SQL expertise
- Experience with large-scale data warehousing architecture and data modeling
- Expertise with data processing (ETL) technologies
- Experience in one programming language such as Java, Scala, or Python
- Knowledge of Hadoop-related technologies such as HDFS, Azkaban, Oozie, Impala, Hive, and Pig
- Experience building high-quality end-to-end data solutions in an agile environment from requirements to production
- Able to proactively handle prioritization of work and deliver work with great quality and influence the broader team in creating leverage
- Experience in mentoring junior team members technically
- Experience working with financial services data
- Knowledge of Finance, Business processes and concepts
- Experience with Looker, Tableau or other business intelligence platforms
4. BA in Economics with 5 years of Experience
- Ability to develop strategic, baselined, data modeling processes
- Ability to accurately determine cause-and-effect relationships.
- Experience with integrated development environments, data integration, data visualization, data mining, and analysis tools
- Experience with ML fields, e.g., natural language processing, computer vision, statistical learning theory
- Experience in an ML engineer or data scientist role, building ML models.
- Experience writing code in Python, R, Scala, Java, C++ with documentation for reproducibility.
- Experience handling terabyte-sized datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop models.
- Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.
- Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the customer's organization
5. BS in Mathematics with 6 years of Experience
- Experience working on analytics projects.
- Advanced users of common analytics toolkits, such as SQL, Python/R.
- Ability to define strategic objectives, roadmaps, build teams and deliver the roadmap.
- Experience in mentoring and training junior team members.
- Advanced knowledge of data science techniques.
- Ability to read and understand and apply techniques from research papers.
- Experience with Software and data engineering and Statistical modeling, AI/ML
- Ability to engage and influence technology and business leaders through clear communication.
- Passionate about data, analytics, innovation and making a difference.
- Expert in engineering AI/ML solutions
- Expert in leading data science/ML teams
- Technology, cloud and data architecture experience
6. BS in Applied Mathematics with 4 years of Experience
- Knowledge of statistical and predictive modeling concepts, machine learning approaches, data mining, clustering and classification techniques, recommendation and optimization algorithms.
- Proficient in any of the following programming languages including R, Python, Java, and Scala.
- Familiar with all popular libraries used in machine learning such as numpy, pandas, scikit-learn, nltk, and fasttext.
- Familiar with at least one popular deep learning framework such as Tensorflow, Pytorch, or Keras.io.
- Familiar with AWS ecosystem (EC2, S3), and Google Cloud (Google Big Query).
- Knowledge of at least one database system such as MySQL, MongoDB, AWS Redshift, or AWS Postgres.
- Familiar with Big Data (MapReduce, Spark)
- Experience in working with Stream Data
- Experience in working with Recommendation Engine, Object Detection, Image Classification, or Text Classification.
7. BA in Psychology with 3 years of Experience
- Experience in data retrieval, elaboration and analysis
- Able to translate customer demand to a solid and convincing business proposition, where data is the basis of the solution.
- Ability to evaluate alternative ways of achieving objectives.
- Able to communicate, both written and verbal, in English
- Able to operate in a multi-disciplinary project team
- Knowledge & experience including statistics, linear algebra, machine / deep learning
- Experience with data modelling & algorithm development for prediction and automation
- Programming skills in SQL, Python or R Studio
- Experience with at least Qlik, PowerBI, Tableau or equivalent
- Ability to consistently produce accurate, factual and detailed information
- Planning and Organisation skills
- Knowledge of the railway and ideally of maintenance environments
8. BS in Machine Learning with 5 years of Experience
- Experience performing data science and statistical analysis using Python and/or R
- Experience performing statistical analyses using SAS
- Understanding of modern data science methodologies including classification algorithms, natural language processing, and assessment of biases and uncertainty in those methods.
- Familiarity with statistical methods and research design including linear, logistic, and conditional regression modeling, parametric and non-parametric statistics, cross-sectional and longitudinal data analysis, survival analysis, sample size calculation and determination, surveillance and case-control study design and analysis, meta-analysis, and time series analysis
- Proficient in word processing and presentation development, primarily in Microsoft Office
- Experience with modern reproducible research methods including RMarkdown or Jupyter Notebooks
- Experience with large, nationally representative datasets
- Experience with high volume, high variety, and high velocity data sources
- Experience with data visualizations
9. BS in Artificial Intelligence with 6 years of Experience
- Strong analytical coding skills (in Python)
- Good communication skills both in written (technical documents, Python notebooks) and spoken (meetings, presentations) forms.
- Willing and able to learn and meet business needs
- Independent, self-organizing, and able to prioritize multiple complex assignments.
- Experience with relational databases (PostgreSQL/Snowflake)
- Experience with cloud computing (ideally AWS)
- Experience running jobs in Airflow
- Experience with forecasting methods and libraries (e.g., Prophet)
- Experience with PyMC3
10. BS in Information Technology with 5 years of Experience
- Experience in a productionized data environment, delivering needle-moving impact to clients
- Experience with data science and ML toolkits, such as Python, R or Scala
- Experience with business intelligence and analytics tools, such as Power BI or Tableau
- Proficiency in using database query languages such as SQL and NoSQL, such as Cassandra, HBase
- Experience with Anomaly Detection algorithms
- Good applied statistics skills such as statistical testing and regression
- Good communication skills
- Experience in IOT, build environment, energy and water management or video analytics will get brownie points
11. BA in Political Science with 7 years of Experience
- Experience working in a business intelligence, marketing analysis, business and/or financial management role focusing on commercial tasks, within the e-commerce space
- Experience using statistical packages (R or Python) for model development
- In-depth understanding and experience using supervised and non-supervised learning techniques such as linear/logistic regression, clustering, decision trees, and association analysis.
- Well-versed in model validation techniques such as cross-validation, bootstrapping, and out-of-sample testing
- Experience with standard BI Tools (Tableau, MicroStrategy, etc.)
- Expert user of Microsoft Office (Word, Excel, and PowerPoint) in order to prepare all documents, presentations, tables, briefings, and worksheets.
- Strong written & verbal communication skills
- Familiarity with the PlayStation Network
- Intellectual bandwidth to manage multiple stakeholders across geographies and functional specialisms.
- Ability to manage multiple tasks and projects with a keen eye for detail, precision, accuracy, and very good attention to detail essential
- Able to identify and develop opportunities to improve, innovate and/or pioneer new ways of working through continuous process improvement practices
12. BS in Engineering Physics with 6 years of Experience
- Experience in the life science industry, experience in R&D (oncology, cardiovascular areas etc.), product formulation, product quality, and manufacturing
- Advanced in R, Python skills and good data visualisation skills (R Shiny, Dash etc.)
- Excellent analytical thinking, problem-solving and collaboration skills
- Experience in Data Flow pipelines (e., Airflow)
- Ability to use Git, Docker, basic cloud skills (AWS, Azure etc.) and experience in agile projects
- Business fluent in English and with very good presentation and communication skills, German skills
- Experience in the medical industry or analytics in the life-science field
- Skills of translating business problems into data analytics goals and algorithms.
- Experience with the ElasticSearch tool
- Applied knowledge of AWS/cloud development and solutions architecture
- Ability to display both breadth and depth of knowledge regarding functional and technical issues
13. BA in Linguistics with 5 years of Experience
- Experienced Data or Insight Analyst
- Good knowledge of and experience with SQL
- Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy
- Good interpersonal skills and evidence of communicating with and influencing senior stakeholders
- Ability to interpret the data and analysis requirements from a deep understanding of the business context
- Good knowledge of client's Customer Data Landscape
- Good technical knowledge of data models, database design development, data mining and segmentation techniques
- Experience with R or Python
- Experience with Data Visualisation tools such as Tableau or PowerB
- Experience presenting to clients or other decision makers to present and sell ideas to various audiences (technical and non-technical)
- Experience with Machine Learning and Natural Language Processing
14. BS in Computational Biology with 3 years of Experience
- Experience working with large data warehouses, analysing data, and delivering actionable insights.
- Experience of using Relational Databases/ Data warehouses
- Experience with statistical software (e.g.R, Python) and database languages (e.g., SQL)
- Good communication and presentation skills
- Familiar with leading visualisation tools (e.g. Tableau, Qlikview)
- Good commercial awareness and experience of deriving and communicating insights from analysis.
- Comfortable communicating progress and outcomes to business stakeholders using relevant language
- Experience in applying data science and machine learning methods to real-world problems
- Excellent communication skills and the ability to explain complex analytical concepts to people from other fields
- Strong background working with predictive and statistical modeling, machine learning and strong expertise in all phases of the modeling pipeline
- Experience building complex data sets from multiple data sources, both internally and externally.
15. BS in Physics with 5 years of Experience
- Ability to think objectively and interpret meaningful themes from quantitative and qualitative data
- Ability to build constructive and effective relationships with a broad and diverse group of business partners
- Ability to execute on complex analytics projects where you have to determine salient questions in a complex ecosystem and present action-oriented conclusions
- Scripting skills in Python.
- Strong Python/NumPy/PANDAS skills
- Knowledge of statistics, specifically experimental design and analysis
- Proficiency in Microsoft Excel and Microsoft PowerPoint
- Familiarity with common KPIs, metrics, and growth experiments
- Executive-level presentation skills, with the ability to tailor communication for specific audiences and the ability to motivate and empower the team
- Excellent problem-solving skills, using an analytical and logical approach to solve complex problems
- Strong business and technical acumen
16. BA in Sociology with 4 years of Experience
- Understanding of applied math topics, such as probability and statistics, linear algebra, basic optimization techniques, etc.
- Experience with predictive analytics tools and machine learning techniques/algorithms
- Experience with Python and Spark
- Experience with Neural Networks/Deep Learning
- Experience with AWS services and Sagemaker
- Experience with data management technologies like Hadoop, Hive, Snowflake, etc.
- Self-driven problem-solving skills and can identify problems unilaterally, but still bring back to the team
- Experience translating business objectives and problems into analytic problems, and analytic solutions into actionable business solutions
- Experience in defining and analyzing multivariate tests
17. BS in Electrical Engineering with 7 years of Experience
- Exceptional analytical, quantitative, problem-solving, and critical thinking skills
- Experience applying data science techniques in a commercial environment, including supervised and unsupervised machine learning, time-series forecasting and other statistical analyses
- Strong written & verbal communication skills including the ability to present detailed analyses to a broad audience range
- Ability to work collaboratively with other business units in order to achieve common objectives
- Able to work with little supervision.
- Excellent interpersonal skills and the ability to maintain effective working relationships
- Strong academic background including grade A in A level maths, or international equivalent
- Experience working with data science tooling on major cloud computing platforms
- Experience with visual analytical tools such as Tableau
- Experience of working as a data scientist within an agile team
- Experience in relevant industries (e.g. gaming, digital commerce, subscription services)
18. BA in Business Analytics with 5 years of Experience
- Experience with PySpark, SparkR or Scala
- Experience developing Web Apps
- Experience building APIs
- Experience with cloud infrastructures, especially Kubernetes
- Passion for teaching or public speaking
- Excellent written and oral communication skills.
- Ability to effectively manage time
- Independent and highly self-motivated.
- Ability to communicate effectively.
- Strong PC skills including Microsoft Office (Word, Excel, Access, PowerPoint).
19. BS in Software Engineering with 6 years of Experience
- Ability to perform robust data analysis and communicate results with sophisticated visualisation methods
- Ability to create and implement statistical & machine learning algorithms, assessing their effectiveness through solid validation workflows
- Experience with Clinical project support to guide decision-making and create analytical solutions to address questions of interest to pharma stakeholders.
- Experience in assisting with the publication of scientific papers and abstracts
- Expertise with the analysis of clinical data and the support of projects within Life Sciences
- Knowledge of data science, machine learning and visualisation.
- Proficiency with programming and scripting languages (R/Python)
- Ability to work independently and effectively in a fast-paced, team-based environment
- Project management and coordination skills
- Ability to prioritise tasks and meet multiple deadlines on concurrent projects
- Experience working with clinical data and/or working in the biomedical field
- Excellent verbal and written communication and presentation skills
- Excellent organisational skills and excellent interpersonal skills to work effectively in a diverse team
- Experience in SQL, NoSQL, Shiny, Graph database, Knowledge Graph, Tidyverse
20. BA in Philosophy with 4 years of Experience
- Experience analyzing healthcare-related data.
- Experience in interpreting exploratory analysis of insurance billing data is a core function.
- Experience writing reproducible analysis pipelines in Python.
- Experience with modern web development
- Experience with only Excel (or other spreadsheet tools) is insufficient.
- Experience with cloud computing (e.g. AWS)
- Experience with cloud data warehouses (e.g. Snowflake)
- Experience working on a two-sided marketplace or consumer-focused product
- Experience writing SQL queries
- Experience with various analytics tools (e.g. Tableau, deltaDNA, Mixpanel)
- Experience with manipulating and analyzing complex, high-volume data
- Excellent written and verbal communication skills
21. BS in Operations Research with 5 years of Experience
- Knowledge of biology, particularly in relation to microbial metabolic engineering and discovery.
- Experience in the analysis of RNA-seq or microarrays, and other large-scale omics datasets.
- Strong quantitative skills and a background in statistical data analysis and machine learning.
- Experience in writing robust code in R or Python.
- Knowledge of code repository best practices and distributed version control.
- Exceptional communication skills, with an ability to convey complex computational results to colleagues from a wide range of life sciences backgrounds.
- Ability to work within a team, across functions (synthetic biology, analytical biochemistry, software, data science), and as an independent contributor, requiring minimal supervision.
- Ability to lead cross-functional teams to efficiently execute against aggressive goals.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Experience in instructing and supervising junior data specialists performing related activities that are precise in content and objective, providing analytical quality assurance.
- Experience using business intelligence tools (Tableau) and data frameworks (e.g. Hadoop).
22. BA in Cognitive Science with 4 years of Experience
- Polyglot programmer, with experience using technologies such as Python, R, SQL
- Front end/full stack software development expertise
- Deep understanding of data integration and transformation patterns such as messaging, ETL
- Experience with large distributed systems from an architecture and development perspective
- Experience with traditional data warehouse technologies and BI or visualization tools
- Machine learning knowledge/experience
- Experience building enterprise applications, including integration with COTS systems
- Experience with Hadoop, Spark, ElasticSearch, Java, AWS
- Experience with DevOps and/or cloud solutions deployment
- Strong academic background in STEM subjects
- Expert knowledge of data science and analytical modelling
23. BS in Bioinformatics with 7 years of Experience
- Knowledge of criminal justice systems and settings, public policy, or government
- Experience using data for social impact, including working with nonprofit, government, or similar.
- Knowledge of scientific research methods, principles, and techniques.
- Knowledge of statistical concepts, methods, and applications to data analysis.
- Demonstrated experience applying data science methods to real-world data problems
- Experience utilizing visualization tools to take advantage of the growing volume of available information
- Strong research, writing, and editing skills
- Oral communication skills, including the ability to effectively present information in a concise way
- Excellent interpersonal skills, including maturity, keen judgment, and self-confidence, with a sense of humor and ability to maintain balance and perspective
- Ability to work with and find consensus among people from a wide array of backgrounds and perspectives, as well as an appreciation for the need to address issues in nonpartisan and non-polarizing ways
- Expertise in relational database design and concepts
- Hands-on experience with SQL and statistical software packages (Python, R, STATA)
24. BS in Mechatronics with 8 years of Experience
- Experience within the advanced analytics function of a corporation, tech startup or a consulting firm
- Expertise in modern machine learning and artificial intelligence techniques
- Expert level proficiency with common modeling tools and frameworks, e.g. Python, R, Scala, TensorFlow, etc.
- Ability to understand data management and model productionization best practices.
- Ability to write scalable, production-level code
- Proficiency with tools to automate CI/CD pipelines (e.g., Jenkins, GIT, Control-M)
- Able to design and implement end-to-end solutions using Machine Learning, Optimization, and other advanced technologies, and own live deployments
- Experience with frameworks for either Machine Learning or NLP (Scikit-Learn, SpaCy, Pytorch, Spark NLP)
- Experience with cloud computing environment (ideally Microsoft Azure)
- Experience working on a large-scale Spark implementation.
- Ability to productionalize one or more ML applications on a big data platform
- Able to translate business problems into a modeling approach, taking into account business requirements, data availability, development time/complexity and ability to scale.
- Experience leading project management activities including communications within project teams, stakeholder management, leadership updates, etc.
- Able to extract actionable insights from the analysis and interpret outcomes of complex models for a business audience
- Experience with preparing data for the analysis, working with the data engineering team to create a modeling dataset, assessing the completeness and quality of data and performing feature engineering
- Knowledge of the healthcare landscape including patient and payer concerns, as well as the operational considerations in support of the business objectives and analytics experience within the retail and/or healthcare industries
- Experience working with data and have a strong understanding of analytics and how it is leveraged within the healthcare/retail industry
- Experience presenting to audiences including technical, non-technical and senior leaders (both verbally and through Microsoft Office products including Excel, Word, and PowerPoint)
- Experience in managing cross-functional initiatives, communicating effectively and confidently with business partners, project team members and senior management
- Excellent written and oral communication skills, ability to interact with and influence decision-making by non-analytical business audiences
25. BA in Quantitative Social Science with 4 years of Experience
- Advanced knowledge of statistical techniques and concepts (e.g., multivariate regression, A/B tests, decision trees, etc.) and experience applying these to use cases
- Fluency in Python and scientific-related frameworks (e.g., scikit-learn, numpy, scipy etc.)
- Experience with SQL and related data access and analysis tools to mine data, identify insights, and extract features
- Experience with cloud computing platforms, Google Cloud Platform
- Excellent interpersonal, verbal, and written communication skills to communicate complex ideas to various audiences in both a technical and user-friendly language
- Demonstrated ability to work effectively both in a team environment and independently by handling multiple projects, meeting deadlines, prioritizing appropriately and responding to issues quickly and creatively with an open and positive attitude
- Energetic and self-motivated with a strong sense of curiosity - must be extremely organized and detail-oriented with an ability to make proactive recommendations
- Experience in retail and e-commerce industries
- Experience with Apache Spark (PySpark, and MLlib)
- Experience with or knowledge of Agile Software Development methodologies
- Knowledge of software development principles and architectures
- Practical experience with CI/CD and MLOps best practices and tools (Git, Airflow, Jenkins, Bamboo, etc.)
- Hands-on experience with designing, deploying, and maintaining machine learning pipelines
- Understanding of causal and uplift models
- Experience with deep learning frameworks (e.g., Tensorflow, Torch, etc.)
26. BS in Environmental Engineering with 5 years of Experience
- Knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis
- Proficient in data science tools and programming languages such as SAS, Python, R, Scala, SQL
- Experience or knowledge of cloud-based technology
- Knowledge of the financial services industry
- Ability to collaborate with others and solve complex problems
- Proficiency in solutions design and requirements
- Outstanding verbal and written communication skills to technical and non-technical audiences of various levels in the organization, e.g., executive, management, individual contributors
- Excellent analytical, decision-making, problem-solving, team, and time management skills
- Ability to persuade and influence others on the best approach
- Positive outlook, strong work ethic, and responsive to internal and external clients and contacts
- Ability to work as part of a team or alone, making a strong contribution in either scenario
- Exceptional statistical, mathematical and analytical skills
- Superior interpersonal, communication and presentation skills
- Delivery-oriented team player who takes responsibility for the team’s success and strives to continually learn and improve
- Ability to interface with all levels of employees and effectively interact with various functional areas and facilities
- Ability to establish and maintain effective working relationships with employees, management, and clients
27. BA in Communication Studies with 4 years of Experience
- Strong hold in Data Structures and Algorithms
- Strong discrete math, computational complexity.
- Familiarity with Languages including Python (primary), Sklearn/Pandas/Numpy, Deep Learning (Tensorflow, Keras etc.), NLP(StanfordNLP, Open NLP, Gensim, Spacy).
- Experience in Data wrangling/Feature Engineering.
- Experience in machine learning algorithm development.
- Excellent familiarity with ML techniques (standard, deep learning etc).
- Experience in using Statistical techniques like Regression Modeling/ Optimization/ Structuring/ Machine Learning Techniques.
- Knowledge of many of these machine learning concepts, including supervised/unsupervised learning, loss functions, regularization, feature selection, regression/classification, cross-validation, bagging, kernel methods, sampling, and probability distributions.
- Strong ability to communicate deep analytical results in forms that resonate with scientific and/or business collaborators, highlighting actionable insights.
- Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business/scientific problems across the company.
- Strong knowledge of Computer vision techniques like OpenCV, Data Structure & Algorithms, Python Programming, Dgango Restapi framework
- Experience in quantitative analytics or data modeling
- Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms
- Fluency in a programming language (Python, C, C++, Java, SQL)
- Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
28. BS in Industrial Engineering with 6 years of Experience
- Experience in data analysis and data extraction with a financial institution.
- Able to prioritize tasks, deal effectively with competing and changing priorities, and meet deadlines.
- Able to analyze and resolve difficult and sometimes complex problems and situations.
- Strong knowledge and understanding of Credit Union products, services, policies, and procedures pertinent to the job.
- Strong knowledge and understanding of regulatory compliance are necessary to successfully perform job responsibilities.
- Strong knowledge and understanding of all Credit Union computer systems and software applications required to perform job duties.
- Strong verbal and written communication skills and interpersonal skills in order to interact professionally and effectively with members, staff, vendors, and government regulators.
- Able to influence others regarding policies, practices, and procedures.
- Works independently with limited supervision
- Knowledge of Python and some of the following software/tools including SQL, R, Hadoop, Spark, Java, C/C++, Git Bash, Tableau, ArcGIS, Unix commands.
- Knowledge of research designs.
- Knowledge of collection methods, capabilities and tasking process.
- Familiarity with project management concepts and principles.
- Strong analytical and critical thinking skills.
29. BA in Criminology with 5 years of Experience
- Experience leading data science projects
- Proficiency with R or Python, and SQL to manipulate data and draw insights from large and small data sets
- Proficiency in a variety of supervised and unsupervised machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
- Proficiency in advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
- Proficiency with common data science libraries
- Proficiency in visualizing/presenting data for stakeholders
- Proficiency with MS Office tools including Excel, PowerPoint, and Word
- Proficiency with AWS, in particular products related to analytics, compute, database, developer tools, and machine learning
- Experience with database solutions including SQL, NoSQL (e.g. MongoDB) and graph (e.g. Neo4j)
- Experience with data visualization tools, such as D3.js, ggplot, Bokeh, etc.
- Capability to recognize when Data Science can add value to an intelligence problem, and when it cannot
- Ability to translate an intelligence problem into a Data Science problem, and to work with the Intelligence Analysts and the ACE Chief to refine the understanding of the problem
- Comfortable working in a dynamic environment with several ongoing concurrent projects
- Able to multitask, prioritize, and manage time effectively
- Interpersonal skills and communication with all levels of leadership
30. BS in Computational Neuroscience with 6 years of Experience
- Advanced SQL skills and is comfortable operating with relational data models and structures
- Advanced skills with NoSQL databases and can interact with large amounts of data stored in a Hadoop environment
- Capable of accessing data via a variety of API/RESTful services
- Advanced programming skills in either R, Python, or a similar analytical language
- Intermediate knowledge of Linux and Bash.
- Ability to interact with the OS at the command line and create shell scripts to automate workflows
- Experience with state-of-the-art techniques such as AI and Deep Learning
- Advanced knowledge of Apache Spark
- Intermediate knowledge of cloud environments such as AWS and Azure
- Intermediate understanding of software development and collaboration, including experience with tools such as Git
- Exceptional written and verbal communication skills, comfortable presenting in front of large audiences
- Understanding of Agile methodologies and continuous delivery
- Excellent data visualization skills, is able to determine the appropriate visualization for a variety of data types and create compelling stories with data
- An advanced understanding of supervised and unsupervised learning techniques including variable selection, feature engineering, model generation, model diagnostics, and deployment
- Excellent statistical skills that are grounded in a thorough understanding of testing and frequentist/Bayesian methodologies
31. BA in Urban Studies with 5 years of Experience
- Programming experience in SQL, PL/SQL, Tableau, Python, R-programming, Visual Basic, and other computer languages.
- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures (good to have).
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- Demonstrates leadership skills as shown in the ability to influence others and supervise others directly or indirectly through Project work.
- Ability to manage more than one project at a time and agile enough to be deployed to other teams periodically.
- Strong competencies in algorithms and software architecture
- Proficient in Amazon EMR to run Presto and Spark engines
- Experience in using AWS cloud and its resources/services
- Strong experience in Relational Databases (MySQL, SQL Server or PostgreSQL) and non-relational databases
- Strong experience in real-time data processing and data ingestion
- Strong experience in batch data processing and data pipelines
- Experience with Greenberry and Alteryx