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Jr Data Scientist

Confidential Client•Consulting
Entry LevelFull-timeOn-Site$62,400 - $72,800
Florida
A Day Ago

The Jr Data Scientist at Confidential Client is responsible for analyzing complex raw data, designing scalable prediction algorithms, and collaborating with engineering teams to deploy analytical prototypes. This role focuses on extracting actionable business insights through advanced quantitative analytics and machine learning techniques, supporting data-driven decision making.

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Description

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, IT Services and IT Consulting, Data Infrastructure and Analytics, and Software Development.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


What You’ll Do

Confidential Client is hiring an entry-level Jr Data Scientist to help turn complex data into actionable insights. You will work closely with engineering and product partners to design, validate, and deploy predictive models that support business decisions at scale.

  • Analyze raw datasets: assess quality, clean, and structure data for modeling.
  • Design, validate, and iterate on predictive algorithms and statistical models.
  • Convert prototypes into production-ready analytics with engineering partners.
  • Translate model outputs into clear recommendations for business stakeholders.
  • Document methods, results, and assumptions; communicate findings across teams.

Responsibilities

  • Perform exploratory data analysis and data preprocessing for supervised and unsupervised tasks.
  • Build and evaluate machine learning models (regression, classification, clustering).
  • Work with SQL and Python (or other supported languages) to extract and prepare data.
  • Collaborate with engineers to integrate models into pipelines and production systems.
  • Produce dashboards or visualizations that surface insights for non-technical audiences.

Qualifications

  • Bachelor’s degree (or equivalent experience) in a quantitative field: Statistics, Mathematics, Computer Science, Engineering, or similar.
  • 1–2 years of experience in quantitative analytics, data modeling, or applied machine learning.
  • Strong understanding of predictive modeling, clustering, and classification techniques.
  • Proficiency in at least one programming language used for analytics (Python, C, C++, Java, or SQL).
  • Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) is a plus.
  • Strong collaboration, problem-solving, and written/verbal communication skills.

Compensation

  • Base pay range: $30.00/hr – $35.00/hr (hourly). Actual pay will be based on skills and experience and may vary by location and candidate qualifications.

Benefits

Inferred from the posting — may include:

  • 401(k)
  • Tuition assistance

Working Location & Type

  • Location: Florida, FL, United States
  • Employment type: Full-time
  • Seniority: Entry level

Keywords & Skills (high-level)

This role is a fit for candidates with skills in:

  • Predictive modeling & machine learning
  • Python and SQL
  • Big Data tools (Spark, Hadoop) and visualization (Tableau)
  • Statistical analysis and data preprocessing

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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