Role overview
Join the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a customizable health benefits program that best meets the needs of its employees. Offering may include: medical, dental, and vision insurance, life insurance, long and short-term disability and other insurance products, Health Savings Account, Flexible Spending Account, 401K Retirement Plan options, Tuition Reimbursement, and assorted voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team.
VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.
What you'll work on
- Work with large DEA data using descriptive statistics and data visualization tools
- Create insights from existing DEA data, and drive the collection of new data and ways to address new data
- Collaborate with clients and team members to understand and communicate results, and to put insights into operation
- Enhancing data collection procedures to include information that is relevant for building analytical systems
- Doing ad-hoc analysis and presenting results in a clear manner
- Work with other team members such as those focused on Data warehousing, Tools development, software development, DevOps, systems analysts etc.
- Design accurate and scalable prediction algorithms
- Collaborate with engineering team to bring analytical prototypes to production
- Generate actionable insights for business improvements
What we're looking for
- Graduate degree in a quantitative social science or a STEM field highly desired
- 10+ years’ of professional experience in data science and analysis
- 10+ years’ Python, “R” or other scripting languages
- 5+ years’ of relational database experience
- 5+ years of non-relational/big data experience
- Experience or knowledge of ELK may be helpful
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.
- Proficiency in using data query languages such as SQL, Hive, Pig, Pandas, MongoDB
- Proficiency in big data modeling work: Hadoop, Pig, Scala, Spark
- Good, applied statistics skills, such as distributions, statistical testing, regression, etc.
- Substantial experience with statistics and the scientific method, and the ability to perform self-directed hypothesis-driven research