Lead Data Scientist

Job Title: Lead Data Scientist

Location: Bethesda, MD (Onsite)

Duration: Contract to Hire OR FTE

Pay Range: $50 to $75/hr and conversation salary would be around $150K to $170K/annum

Job Description:

We are seeking a Lead Data Scientist to join a fast-growing, high-impact data science team focused on consumer analytics and predictive modeling. This role is centered on translating complex business problems into scalable machine learning solutions that directly influence strategic decision-making.

The ideal candidate will operate across the full machine learning lifecycle—from problem framing and model development to deployment and ongoing performance monitoring—while working closely with cross-functional stakeholders.

This is a business-driven, applied data science role, emphasizing critical thinking, ownership, and measurable outcomes over purely research-based or tool-specific expertise.

Key Responsibilities

• Lead end-to-end development of machine learning solutions, from problem definition to production deployment
• Translate ambiguous business challenges into structured analytical approaches and scalable models
• Design, train, and optimize models using predictive analytics and statistical techniques
• Evaluate model performance using robust metrics, validation frameworks, and error analysis
• Deploy models into production environments and ensure scalability, reliability, and maintainability
• Monitor model performance, detect drift, and implement continuous improvement processes
• Collaborate with business stakeholders to translate insights into actionable strategies
• Mentor junior team members and provide guidance on technical trade-offs and solution design
• Communicate complex findings clearly to both technical and non-technical audiences

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Master’s preferred)
• 5–8+ years of experience in data science, machine learning, or predictive analytics
• Strong hands-on expertise in Python and SQL, with experience writing production-quality code
• Proven experience in building, deploying, and monitoring machine learning models in production environments
• Experience working in cloud-based ecosystems (preferably GCP)
• Strong foundation in statistical modeling, machine learning algorithms, and data analysis
• Experience with consumer analytics, e-commerce, or large-scale data environments is preferred
• Ability to work in a fast-paced, high-ownership environment with evolving priorities

Ideal Candidate Profile

• A problem-solver first, with the ability to navigate ambiguity and drive clarity
• Strong focus on business impact rather than purely technical experimentation
• Experience delivering practical, scalable ML solutions tied to measurable outcomes
• Comfortable operating under tight timelines and high expectations
• Effective communicator who can influence stakeholders and drive decisions
• Brings a balanced approach to data science—technical depth combined with business acumen
• Not solely focused on GenAI, LLMs, or research-heavy work, but rather applied, outcome-driven data science

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.