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Lead Data ScientistDexianUnited States
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Lead Data Scientist

Dexian
  • US
    United States
  • US
    United States

À propos

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
Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.
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 to learn more. xywuqvp 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.
  • United States

Compétences linguistiques

  • English
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