Data Scientist
The Data Scientist at Confidential Client works collaboratively within a team to analyze large and complex datasets using advanced statistical and machine learning techniques to uncover business insights and drive strategic decisions. This role involves developing predictive models, creating visualizations and dashboards, and partnering with business and IT teams to implement data-driven solutions that optimize product development and business strategies. The position requires strong analytical skills, proficiency in programming and visualization tools, and the ability to communicate findings effectively in a hybrid work environment based in Memphis, TN.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Freight and Package Transportation.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Confidential Client is hiring a Data Scientist (Entry-level to early-career) to join their analytics team in Memphis, TN. This hybrid role focuses on building predictive and descriptive analytics, developing machine learning models, and creating dashboards that drive business decisions across operations. Ideal candidates are proficient in at least one programming language (Python, R, SQL, Java) and one visualization tool (Tableau, Power BI, Spotfire, Matplotlib, Plotly, Shiny).
What You’ll Do
- Work on a team to perform advanced analytics and predictive modeling (classification, regression, supervised/unsupervised learning), hypothesis testing, and statistical analysis on large structured and unstructured datasets.
- Develop, validate, and help deploy analytical and machine learning models; collaborate with data engineering and MLOps teams.
- Design and implement reporting dashboards and visualizations that track key business metrics and provide actionable insights.
- Analyze data across multiple databases to identify trends and recommend improvements for products and operations.
- Ensure data quality and reconcile information from disparate sources.
- Participate in experiment design and business problem-solving sessions with stakeholders.
- Learn and become fluent with Confidential Client data, systems, and processes.
- Contribute to knowledge transfer and help institutionalize a data-driven culture across teams.
- Perform other duties as assigned.
Minimum Qualifications
- Bachelor’s degree in data science, computer science, applied mathematics, statistics, industrial engineering, or related quantitative field.
- 0–3 years of relevant experience (skills may be gained concurrently with education).
- Proficiency in at least one programming language (SQL, Python, R, Java, or similar).
- Proficiency in at least one visualization tool/package (Spotfire, Tableau, Power BI, ShinyApp, Plotly, Matplotlib, Seaborn, or similar).
- Experience with statistical programming (R, Python, SQL, SAS) and familiarity with machine learning libraries.
- Exposure to relational databases (e.g., Teradata, Oracle) and working with large datasets.
- Strong problem-solving, written, and verbal communication skills.
- Ability to work on multiple projects and collaborate in a team environment.
Preferred / Nice-to-Have
- Hands-on exposure to machine learning model development and evaluation.
- Familiarity with cloud platforms (Azure, GCP, AWS) for storage, querying, or analytics.
- Understanding of ETL concepts, data modeling, and query performance tuning.
- Experience with dashboarding tools such as Tableau or Spotfire.
- Background in linear algebra, statistics, and experimental design.
Location & Work Arrangement
- Hybrid — based in Memphis, TN (Confidential Client campus). Candidates must live within 50 miles of the Memphis campus.
- Employees are expected to work on-site several times per week. This is not a remote-first role.
Employment Type & Timeline
- Employment type: FULL_TIME.
- Posting closes: 2026-11-02 at 4:00 PM CST / 5:00 PM EST.
- Start date and schedule will be discussed during the hiring process.
Why Join (Recruiter Summary)
- Early-career growth on high-impact analytics projects in a large operations environment.
- Exposure to production ML workflows, cross-functional collaboration, and enterprise-scale data.
- Opportunity to build skills in Python/R, SQL, ML modeling, cloud analytics, and visualization tools.
- Supportive team environment focused on knowledge sharing and data-driven decision making.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind.
To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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