IT Software Engineer - Senior Data Scientist

Responsibilities

Kforce has a client in Houston, TX that is seeking an experienced Data Science - Software Engineer. This is a hybrid role and will require 2 days onsite. Summary: We are looking for candidate with the ability to translate a business question into a data science solution. This requires that you have next to your knowledge of machine learning and/or statistics a good grasp of software development. Next to the data science capabilities and experiences you should be able to clearly and effectively present findings to our colleagues in other areas of expertise and business stakeholders. The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning) and has applied those skills in solving real world problems across different businesses/functions. Accountabilities:
• Developing data science solutions to business challenges
• Write clean and maintainable production-level code, including tests; The tech stack we work with includes Python, Databricks, GIT, Azure, SQL
• Integrating models into production on a weekly or even daily basis
• Work closely with the customer and the Product Owner day-to-day
• Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities
• Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience
• Learning new engineering practices, technologies and continuously improving our Agile practices

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, making use of version control tools
• Proficiency in statistical software packages such as R, Python, MATLAB
• Good knowledge of cloud environment like specifically Azure is required
• Experience in Agile working methodology
• Software Configuration Management - Knowledge
• Software Construction - Knowledge
• Software Engineering Economics - Knowledge
• 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, as well as 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 like 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.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, ****** orientation, gender identity, national origin, age, protected veteran status, or disability status.

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