Data Scientist Senior

Computer Task

Northern (KY)

Remote

USD 59,000 - 99,000

Full time

5 days ago
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Benefits offered by this job

Remote work

Job summary

CTG, a Cegeka company, seeks a Senior Data Scientist for a remote, 6‑month engagement with a client. You will analyze large data sets, build ML models, and translate insights into practical business actions.

You will collaborate with senior data scientists and business partners, ensure production-ready processes, and mentor junior teammates while adhering to risk and regulatory standards. Excellent English required.

Qualifications

  • Bachelor's degree plus 5+ years in data science or related field; or 9+ years experience in lieu of degree.
  • 5+ years in data science, statistics, econometrics, or quantitative analysis.
  • Experience with large, complex data sets and data ETL using SQL and Python.
  • Proficiency in statistics, hypothesis testing, model validation, and bias analysis.
  • Intermediate SQL and NoSQL; experience in on‑prem and cloud environments.
  • Modeling with Bayesian methods, clustering, classification, neural networks, and multivariate stats.
  • Data visualization with Tableau and Power BI; experience with Alteryx.

Responsibilities

  • Analyze large data sets to solve business problems using ML and econometric techniques.
  • Ingest, clean, and prepare data supporting scalable data processes.
  • Develop models including classification, clustering, and predictive modeling.
  • Refine models via champion/challenger approaches and productionize models.
  • Create model outputs and visualizations to communicate results to stakeholders.
  • Collaborate with senior data scientists and business partners on research approaches.
  • Review code for accuracy, efficiency, and best practices; mentor juniors.
  • Engage in stakeholder discussions about results, opportunities, and production challenges.
  • Identify risk-related issues and adhere to risk, regulatory, audit, and internal controls.

Skills

Data science
Statistics
Econometrics
Python
SQL
NoSQL
Tableau
Power BI
Alteryx
A/B testing
Model validation
Data ETL

Education

Bachelor's degree
Master's or Doctorate degree

Tools

SQL
Python
Alteryx
Tableau
Power BI
NoSQL

Job description

Are you ready to join a growing team?

CTG is seeking to fill a Data Scientist Senior opening for our client.

Location: Remote
Duration: 6 months

Primary Responsibilities
  • Analyze large and complex data sets to solve unstructured business problems using statistical, econometric, and machine learning techniques.
  • Source, ingest, clean, and prepare data for analysis while supporting scalable and reliable data processes.
  • Develop and implement complex statistical, econometric, and machine learning models, including classification, clustering, pattern analysis, sampling, simulations, and predictive modeling.
  • Develop champion/challenger models and refine models based on performance, reliability, stability, and business feedback.
  • Build and support self-healing model frameworks and promote models into production environments.
  • Create model outputs, visualizations, and educational materials to communicate business value and analytical results to stakeholders.
  • Collaborate with senior data scientists and business partners to develop research approaches and adapt analytical techniques to client needs.
  • Review code for accuracy, efficiency, quality, and adherence to development best practices.
  • Lead and mentor less experienced team members in developing consumable data and model outputs.
  • Participate in stakeholder discussions regarding analytical results, opportunities, concerns, and production challenges.
  • Identify and elevate risk-related issues and adhere to applicable risk, regulatory, audit, and internal control standards.
Scope of Responsibilities
  • Work independently on complex data science initiatives involving large and diverse data sets.
  • Apply statistical analysis, econometrics, machine learning, and data engineering techniques to support business and product objectives.
  • Develop solutions using SQL, Python, Alteryx, Tableau, Power BI, and related analytical tools.
  • Support data quality, model stability, and production scalability across on-premises and cloud-based environments.
  • Collaborate with data scientists, business partners, and technical teams to translate analytical findings into actionable business solutions.
Supervisory/Managerial Responsibilities
  • None. May provide technical guidance and mentorship to less experienced team members.
Education and Experience Required
  • Bachelor's degree and a minimum of 5 years of related experience; or, in lieu of a degree, a combined minimum of 9 years of higher education and/or work experience, including at least 5 years of related experience.
  • 5+ years of experience in data science, statistics, econometrics, quantitative analysis, or a related field.
  • Experience working with large and complex data sets.
  • Strong experience with statistical and data science principles, including A/B testing, sample selection, hypothesis testing, model validation, and bias analysis.
  • Proficiency with statistical software, programming languages, and analytical tools.
  • Intermediate SQL and NoSQL knowledge, with experience performing data ETL using SQL and Python.
  • Experience working with hybrid databases across on-premises and cloud environments.
  • Experience with modeling techniques such as Bayesian modeling, classification, clustering, neural networks, non-parametric methods, and multivariate statistics.
  • Experience developing data visualizations using Tableau and Power BI.
  • Experience with Alteryx.
Education and Experience Preferred
  • Master's or Doctorate degree in Statistics, Economics, Finance, or a related quantitative discipline.
  • Advanced knowledge of econometric and statistical techniques, including time-series analysis, panel data methods, and logistic regression.
  • Strong experience with statistical programming languages, software, and analytical tools.
  • Experience developing and productionizing machine learning models in enterprise environments.

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role.

The expected base salary for this position ranges from $43.06 - $71.76/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.

About CTG

CTG, a Cegeka company, delivers IT and business solutions that enhance clients' digital agility, empowering them to seize new opportunities and overcome any challenge. Backed by more than 60 years' experience and a commitment to being a reliable, results-driven partner, we work shoulder to shoulder with clients to shape digital together. Our vision is to be an indispensable partner to our clients and the preferred career destination for digital and technology experts. With more than 9,000 team members in over 15 countries, we combine global expertise with local insight to deliver innovative solutions. We operate across the Americas, Europe, and India, working with over 3,000 clients in many of today's highest-growth industries.

Together, we shape what's next-working shoulder to shoulder to deliver impactful solutions for our clients and society. Our culture is built by the people who work at CTG, the values we hold, and the actions we take. It's a living, breathing thing that is renewed every day through the ways we engage with each other, our clients, and our communities. At CTG, you'll find a workplace where you are encouraged to grow, supported in your ambitions, and empowered to shape your own career journey. For more information, visit www.ctg.com.

CTG will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of all applicable local, state, and federal laws.

CTG is an Equal Opportunity Employer. CTG will assure equal opportunity and consideration to all applicants and employees in recruitment, selection, placement, training, benefits, compensation, promotion, transfer, and release of individuals without regard to race, creed, religion, color, national origin, sex, sexual orientation, gender identity and gender expression, age, disability, marital or veteran status, citizenship status, or any other discriminatory factors as required by law. CTG is fully committed to promoting employment opportunities for members of protected classes.

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