Data Scientist - Richardson, United States - Service Experts

    Service Experts background
    Description

    Job Title: Data Scientist

    Location: 596 N Bowser Rd, Richardson, TX 75081 *Hybrid role, 3 days per week on site.

    Position comes with Benefits, 401k, Paid time off

    **Must be Eligible to work in the US without sponsorship. **We do not support c2c roles.**

    About the role:

    As a Data Scientist at Service Experts, you will play a crucial role in interpreting and analyzing large datasets to solve complex problems. You will use a blend of statistical, machine learning, and analytical techniques to develop predictive models and actionable insights that will support our business strategies. This role requires a mix of technical proficiency, a keen analytical mindset, and the ability to communicate complex findings in a clear and actionable manner.

    Data Scientist requirements, qualifications & skills:

    Collaborate with stakeholders across the organization to understand business needs and define projects.

    Collect, clean, and preprocess data from diverse sources to prepare it for analysis.

    Apply statistical analysis, machine learning, and predictive modeling techniques to analyze large datasets and identify trends, correlations, and patterns.

    Design, implement, and validate data models and algorithms to solve business problems and drive decision-making.

    Interpret and communicate analytical results to non-technical stakeholders through clear visualizations and reports.

    Stay abreast of advancements in data science, machine learning, and big data technologies, and incorporate best practices into projects.

    Participate in the development of data management and governance policies to ensure data integrity and compliance.

    Work closely with IT and data engineering teams to improve data collection and processing methods.

    Qualifications:

    Masters or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field.

    Minimum of 5 years of experience in a data science role

    Proficiency in programming languages such as Python or R, and familiarity with SQL and database technologies.

    Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).

    Demonstrated experience in using statistical techniques for data analysis and predictive modeling.

    Excellent data visualization skills and proficiency with a BI Platform (Power BI preferred).

    Strong problem-solving skills and the ability to work on complex problems where analysis of situations requires an in-depth evaluation of various factors.

    Excellent verbal and written communication skills, with the ability to explain complex analytical concepts to stakeholders at all levels.

    What We Offer You, as a Service Experts Employee:

    Service Experts offers a comprehensive benefits package designed to support employees and their families in managing their health and wellness needs. Following is a summary of the many benefits that could be available to you as a Service Experts valued employee.

    • Competitive Pay, including incentive opportunities for many positions
    • Paid Time Off and Company Holiday Pay
    • Medical /Dental /Vision Insurance programs
    • 401(k) Retirement Savings Plan with company matching contributions
    • Life Insurance, for you and options you can elect for your family
    • Short-term and Long-term disability insurance options, that protects you and your family if you are unable to work
    • Supplemental benefit programs such as: Legal advice, pet insurance, health advocacy programs
    • World Class Training opportunities, through our Experts University
    • Career Development opportunities

    Service Experts Heating & Air Conditioning is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.