Senior Data Scientist (Senior Consultant)
About The Position
Our consultants on the AI and Data Analytics Capability team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science services, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness.
Requirements
- US Citizenship is required
- Bachelor's degree is required
- Minimum THREE (3) Years Experience using Power BI, Tableau and other visualization tools to develop intuitive and user friendly dashboards and visualizations.
- Skilled in SQL, R, and other languages to assist in database querying and statistical programming.
- Strong foundational knowledge and experience in statistics, probability, and experimental design.
- Familiarity with cloud platforms (e.g., Amazon Web Services, Azure, or Google Cloud) and containerization (e.g., Docker).
- Experience applying data governance concepts and techniques to assure greater data quality and reliability.
- he curiosity and creativity to uncover hidden patterns and opportunities.
- Strong communication skills to bridge technical and business worlds.
Nice To Haves
- Hands-on experience with Python, SQL, and modern ML frameworks.
- Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models.
- Expertise in Python or Java for data processing.
- Demonstrated work experience within the public sector.
- Ability to support business development including RFP/RFQ/RFI responses involving data science / analytics.
Responsibilities
- Data Collection & Management: Identify, gather, and manage data from primary and secondary sources, ensuring its accuracy and integrity.
- Data Cleaning & Preprocessing: Clean raw data by identifying and addressing inconsistencies, missing values, and errors to prepare it for analysis.
- Data Analysis & Interpretation: Apply statistical techniques and analytical methods to explore datasets, discover trends, find patterns, and derive insights.
- Data Visualization & Reporting: Develop reports, dashboards, and visualizations using tools like Tableau or Power BI to present complex findings clearly to stakeholders.
- Collaboration & Communication: Work with cross-functional teams, understand business requirements, and effectively communicate insights to support data-driven decision-making.
- Problem Solving: Address specific business challenges by using data to identify underperforming processes, pinpoint areas for growth, and determine optimal strategies.
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Professional, Scientific, and Technical Services
Number of Employees
5,001-10,000 employees
