About
Develop data‑science solutions to business challenges
Write clean, maintainable, production‑level code (including tests); tech stack includes Python, Databricks, GIT, Azure, SQL
Integrate models into production on a weekly or daily basis
Work closely with the customer and Product Owner day‑to‑day
Participate in a highly collaborative, Agile environment and continuous improvement activities
Document and explain analysis or modelling results to both technical and non‑technical audiences
Learn new engineering practices and technologies, continuously improving Agile practices
Rapidly onboard to projects, understand analytics goals, and work with ill‑defined datasets
Communicate technical jargon in plain English to colleagues within and outside the Data Science team, and to the global network of colleagues
Special Challenges
Rapid onboarding on projects, understanding analytics goal and working with ill‑defined datasets
Communicating technical jargon in plain English to colleagues within Data Science team and outside Virtual working with network of colleagues located throughout the globe
Requirements
Experience in data‑science projects
Broad experience and knowledge in Statistics, Machine Learning, and data engineering
Awareness of issues in statistics and dependence on data quality
High standards of code quality and use of version control tools
Proficiency in statistical software packages such as R, Python, MATLAB
Good knowledge of Azure cloud environment
Experience with Agile working methodology
Knowledge in software configuration management, construction, and engineering economics
A practical approach to problem solving and attention to detail
Passion for and expertise in practicing data science to solve real‑world customer problems
Excellent oral and written communication skills
Strong interpersonal skills and enthusiasm for teamwork, and the ability to work independently
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors such as relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract, and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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Languages
- English
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