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Senior Data Scientist

Ad Hoc

Lynchburg (VA)

Remote

USD 135,000 - 140,000

Full time

Today
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Job summary

A leading technology company is seeking a Senior Data Scientist to develop data science strategies and mentor junior team members. The role involves building predictive models and improving business processes using advanced analytics techniques. Join a remote-first culture that values flexibility and collaboration.

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Flexible PTO
401K with Employer Match
Paid Parental Leave
Employee Assistance Program

Qualifications

  • 7+ years of experience in analytics role.
  • Expertise with data engineering tools and completion of predictive analytical projects.

Responsibilities

  • Develop and implement data science strategy with minimal oversight.
  • Mentor junior Analysts, Engineers, and Scientists.
  • Build and improve predictive models using data from multiple sources.

Skills

Data Engineering
Analytics
Statistics
Machine Learning
Natural Language Processing
Deep Learning

Education

Bachelor's Degree

Tools

Predictive Analytics

Job description

Are you ready for new challenges and new opportunities?

Join our team!

Current job opportunities are posted here as they become available.

Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods, our team creates products that meet people’s needs and transform their experience of government.

Work on things that matter

Our collaborations have shaped some of the defining moments in public-sector service delivery. We’ve helped build products that connect Veterans to tailored services, help millions access affordable health care, and support important programs like Head Start. As we work with agencies to deliver critical services, we’re also changing how the government approaches technology.

Built for a remote life

Our culture, communications, and tools are built for remote work, enabling us to bring together top talent nationwide. At Ad Hoc, remote life empowers our teams to design work environments that fit their lives and that foster flexibility and collaboration to achieve positive outcomes for our customers.

Committed to high expectations and a welcoming culture

Ad Hoc values acceptance, accountability, and humility. We aren’t heroes. We learn from our mistakes and improve the process for the next time. We build small, inclusive teams to collaborate closely with our partners to solve the right problems and deliver software that works.

The Federal Civilian business unit supports many customers spanning the federal, commercial, and nonprofit space. Our customers include NASA, the General Services Administration, Office of Personnel Management, the Library of Congress, Health & Human Services, and the FDIC. We partner with these agencies to build new capabilities, deliver products, establish data as a strategic asset for informed decision-making, modernize legacy systems, and build the digital service infrastructure necessary to scale their mission impact.

Primary Responsibilities:

In this role, you will serve as an experienced individual contributor within a team, with the expectation that you will further develop your leadership, guidance and mentoring skills. With minimal oversight from leadership, you will be responsible for supporting the goal of meeting scope, schedule and delivery requirements. A Senior Data Scientist impacts the long-term goals of the program, while contributing to the development of the program’s data science strategy. You may serve as the discipline's primary lead when working with stakeholders and utilize strong influential skills to drive improvements in data science processes and practices. Primary expectations of a Senior Data Scientist include:

  • Strong influence on business or customer experience improvements based on research
  • Serves as a mentor to junior Analysts, Engineers, and Scientists on the program
  • May lead small, less critical, or temporary team structures and projects
  • Presents statistical and mathematical concepts to non-experts
  • Fully understands and ensures implementation of best practices across program(s)
  • Builds and improves predictive models using data from multiple sources
  • Automates feedback loops for algorithms/models, creates repeatable processes, and scalable data products
  • Reviews, scales, and enhances operationalized statistical models and algorithms
  • Able to apply recommendation systems, ML, NLP, statistics, and deep learning within the program
  • Participates in technical interviews with new candidates, evaluates homework assignments

Basic Qualifications:

  • Bachelor’s degree and 7+ years of experience
    • Relevant years of experience may be substituted for education
  • 6+ years of experience in an analytics role
  • Expertise with data engineering tools, analytics, and statistics; completion of several predictive analytical projects and/or ML models
  • Company-subsidized health, dental, and vision insurance
  • Flexible PTO
  • 401K with employer match
  • Paid parental leave after one year of service
  • Employee Assistance Program

Ad Hoc LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.

In support of various state and city equal pay transparency laws, Ad Hoc job descriptions feature the starting range we reasonably expect to pay to candidates who would join our team with little to no need for training on the responsibilities we've outlined above. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and responsibility. The range of starting pay for this role is $135,000 - $140,000. Our recruiters will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements.

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