Responsibilities
Kforce has a client in Houston, TX that is seeking an experienced Data Science – Software Engineer. This is a hybrid role requiring two days onsite. The role involves translating business questions into data‑science solutions, building production‑ready code, integrating models into production, and communicating findings to stakeholders.
- 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.