Senior Data Scientist

Guidehouse•Huntsville, AL

1d•Onsite

About The Position

The Senior Data Scientist is responsible for leading a team of developers and participating in the analysis of actual and predictable interacting operational activities of a business. This role aims to obtain a quantitative, rational basis for decision-making through the application of logic and scientific or economic disciplines and techniques. The position requires the ability to devise modeling and measuring techniques, utilizing mathematics, statistical methods, engineering methods, operational mathematics techniques (such as linear programming, game theory, probability theory, symbolic language), and other principles of scientific and economic disciplines. The Senior Data Scientist must demonstrate a complete understanding and wide application of technical principles, theories, and concepts within the Data Science/Operations Research field, providing consultation for technical solutions to complex problems with imaginative, thorough, and practicable approaches consistent with organizational objectives.

Requirements

An ACTIVE and MAINTAINED Secret Federal or DoD security clearance
Bachelor’s degree
TEN (10) years of professional experience including FIVE (5) years of data engineer, data analytics or data science experience; a Master's degree may be used in lieu of TWO (2) years experience
Experience with common data science tools, such as R, Python, MATLAB; with a heavy emphasis on Python

Nice To Haves

Master’s degree
Demonstratable experience in at least one statistical programming language (i.e., C#, Python, R); knowledge and understanding of Python is a plus
Expert experience in leading development efforts with clear examples of value added to the client
Experience interacting with end-users to understand and document business and functional requirements for complex projects, as well as collaborating with technical teams across the full software development life cycle
Considerable proven knowledge of organizational planning and project management specific to lifecycle development processes
Experience with common data science tools, such as R, Python, MATLAB; with a heavy emphasis on Python
Experience scoping and estimating project tasks, as well as managing multiple tasks with minimal supervision
Ability to collect, organize, manage, and process client’s sources of information and enhance data collection procedures
Understanding of the processing, cleaning, and verification of data used for analysis and ad-hoc analysis
Ability to perform verification, validation, and fault detection of data models
Applied statistics skills, such as distributions, statistical testing, regression, etc.
Understanding of data visualization tools (MS Power BI, Tableau, Qlik etc.); with a heavy emphasis on Power BI
Examples of migration between multiple visualization tools is a plus
Understanding of the appropriate statistical model to apply to any problem
Strong understanding and experience working with cloud infrastructure services like Azure, Amazon Web Services & Google Cloud; with a heavy emphasis on AWS
Demonstrable experience with web applications
RPA orchestration, cloud architecture, data API integration, data analytics, AI, big data platforms, and automating machine learning components
Ability to stand-up and manage an integrated software development and machine learning environment
Experience in any database technology (SQL Server/Azure Cosmos DB)
Experience implementing and automating models created by data science teams (i.e. Spark, Scala, Hive, Python, R, etc.)
Experience working with different query languages (i.e. PL-SQL, T-SQL)
Experience working with code repositories and continuous integration (i.e. Git, Jenkins, etc.)
Certified Scrum Master (CSM), Professional Scrum Master (PSM), or equivalent

Responsibilities

Leading a team of developers
Participating in analysis of actual and predictable interacting operational activities of business to obtain a quantitative, rational basis for decision making through the application of logic and scientific or economic disciplines and techniques
Devising modeling and measuring techniques
Utilizing mathematics, statistical methods, engineering methods, operational mathematics techniques (linear programming, game theory, probability theory, symbolic language, etc.), and other principles and laws of scientific and economic disciplines
Demonstrating a complete understanding and wide application of technical principles, theories, and concepts within the Data Science/Operations Research field
Providing consultation to technical solutions over a wide range of complex difficult problems in which proposed solutions are imaginative, thorough, practicable, and consistent with organization objectives

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend