Data Scientist

We are looking for a candidate who can translate business questions into data science solutions, with a strong foundation in machine learning, statistics, and software development. They should also be able to present findings effectively to colleagues and stakeholders. This role is located in Houston, TX and is a hybrid position with three days onsite.

Accountabilities Develop data science solutions to business challenges. Write clean, maintainable production‑level code, including tests, using Python, Databricks, GIT, Azure, and SQL. Integrate models into production on a weekly or even daily basis.

Work closely with customers and the Product Owner day‑to‑day. Participate in an Agile environment—ceremonies, continuous improvement activities, and high collaboration. Document and explain analysis or modelling results to both technical and non‑technical audiences.

Learn new engineering practices, technologies, and continuously improve Agile practices. Rapidly onboard on projects, understand analytics goals, and work with ill‑defined datasets. Communicate technical jargon in plain English to colleagues within the Data Science team and externally, working with a global network of collaborators.

Skills & Requirements Experience on data science projects. Broad experience and knowledge in Statistics, Machine Learning, and data engineering. Awareness of issues in statistics and dependence on data quality.

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. High standards of code quality, making use of version control tools. Proficiency in statistical software packages such as R, Python, and Matlab.

Good knowledge of cloud environments, specifically Azure. Experience in Agile working methodology. Compensation: $109,500.00 – $138,600.00 (U.S.) Benefits Competitive compensation Comprehensive insurance options Matching contributions through the 401(k) plan and the share purchase plan Paid time off for vacation, holidays, and sick time Paid parental leave Learning opportunities and tuition assistance Wellness and well‑being programs Equal Employment Opportunity statement: Qualified applicants will receive consideration for employment without regard to race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military or veteran status, marital status, sexual orientation, gender, gender identity, gender expression, familial status, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics as required by applicable federal, state, and/or local laws where we do business.

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