SR. DATA SCIENTIST / IT SME SPECIALIST

About the role

VSolvit is seeking a Data Scientist with quantitative research skills to join our data analytics team. The role involves working with vast DEA data sets to uncover hidden information through modern statistical and ML/AI techniques. Key responsibilities include creating insights from existing data, designing accurate prediction algorithms, and collaborating with cross-functional teams.

Responsibilities

• 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
• Enhance data collection procedures to include relevant information for building analytical systems
• Do ad-hoc analysis and present 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

Requirements

• U.S. Citizenship Required
• Secret Clearance Required
• Must be able to pass a DEA Security Approval
• Team experience (i.e., managing tasks with other Data Scientists; communicator to client and other DEA Team Leads; good communication skills orally and in writing)
• At least 2 years of data science and custom Machine Learning and AI model training experience
• Solved ‘real world’ problems (to include supervised and unsupervised)
• Natural Language Processing (NLP) expertise focusing on unstructured data with Anaconda, VScode with Git Version control
• Python, “R” or other scripting languages
• Database experience (MS SQL Server, Elastic Search)
• Machine Learning practice – using scikit learn, tensorflow, or pytorch and perform DEA (Data exploration Analysis), clean data, model selection, feature selection/tuning, and deployment
• Data visualization tools
• Utilize a strong understanding of Machine Learning basics to design and implement effective models for [specific industry/sector] applications
• Professional experience in implementing and deploying Deep Learning models to solve complex problems
• Collaborate with cross-functional teams as a team player to integrate data science solutions into our products and services
• Demonstrate excellent communication skills to convey complex technical concepts to non-technical stakeholders and team members
• Embrace Agile methodologies to adapt to fast-paced development cycles and deliver high-quality results
• Strong understanding of statistical analysis and data visualization techniques
• Able to work independently and collaboratively in a team-oriented environment
• Dedication to continued learning, be team-oriented, self-driven, quality minded, and customer-friendly

Qualifications

• Graduate degree in a quantitative social science or a STEM field highly desired
• 5+ years’ of professional experience in data science and analysis
• 5+ years’ Python, “R” or other scripting languages
• 5+ years’ relational database experience
• 5+ years of non-relational/big data experience
• Experience or knowledge of ELK may be helpful
• Proficiency in using data query languages such as SQL, Hive, Pig, Pandas, MongoDB
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.
• Substantial experience with statistics and the scientific method, and the ability to perform self-directed hypothesis-driven research

Skills

• Strong understanding of Machine Learning basics
• Ability to work independently and collaboratively
• Strong communication skills
• Statistical analysis and data visualization techniques

Benefits

• Customizable health benefits program
• Medical, dental, and vision insurance
• Life insurance
• Long and short-term disability
• Health Savings Account
• Flexible Spending Account
• 401K Retirement Plan options
• Tuition Reimbursement
• Assorted voluntary benefits

Pay

Competitive salary based on experience and qualifications

Schedule

Full-time, 40 hours per week