About CareerTakes

CareerTakes is a next-generation AI recruiting platform that connects early-career talent with real roles at established companies across regulated industries.

👉 Important disclosure: CareerTakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.

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

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What You’ll Do

This entry-level Data Scientist role will give you hands-on experience across the data lifecycle while working remotely with a cross-functional engineering and analytics team. Typical responsibilities include:

• Assist with data collection, cleaning, and transformation to prepare datasets for analysis and modeling
• Perform exploratory data analysis and create visualizations to uncover trends and insights
• Build, validate, and deploy basic supervised and unsupervised machine learning models (classification, regression, clustering)
• Write reproducible Python code and notebooks using libraries such as pandas, NumPy, scikit-learn, and matplotlib/seaborn
• Query relational databases and write performant SQL for feature engineering and reporting
• Collaborate with engineers to productionize models and move analyses into repeatable pipelines
• Document code, assumptions, and results; present findings to technical and non-technical stakeholders
• Learn and adopt best practices for model evaluation, versioning, and testing

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Who We’re Looking For

We seek motivated, early-career candidates who are eager to grow in data science and analytics roles. Ideal qualifications and skills:

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field (or equivalent practical experience)
• Hands-on experience (projects, internships, coursework) with Python and SQL
• Familiarity with machine learning fundamentals: regression, classification, cross-validation, and feature engineering
• Experience with pandas, NumPy, scikit-learn; visualization skills (matplotlib, seaborn, or similar)
• Strong problem-solving, communication, and data storytelling skills
• Ability to work independently in a remote environment and collaborate across teams
• Preferred but not required: experience with cloud platforms (AWS, GCP, Azure), basic knowledge of MLOps or data engineering tools, and familiarity with big-data frameworks

Good fits include recent grads, career changers, those with gaps in experience, and candidates who have completed bootcamps or hands-on projects demonstrating practical skills.

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Compensation & Location

• Employment type: Full-time (Telecommute / Remote)
• Location: Remote — role is listed for Boston, MA (Roxbury Crossing) but is remote/telecommute
• Estimated salary range: $95,000 — $160,000 per year (approximate and may vary based on experience, location, and the confidential client’s compensation policies). Final salary is set by the confidential client.

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Visa & Work Authorization

• All qualified applicants are encouraged to apply.
• Candidates on F‑1/OPT seeking STEM extension or other work‑authorization pathways may be considered. If you require visa sponsorship, please disclose during the application process so the confidential client can confirm current sponsorship policy and next steps.

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Why Apply via CareerTakes

• You’ll be represented by a specialized third‑party recruiting platform that connects early‑career candidates with hiring teams at established IT employers.
• CareerTakes can surface additional matched opportunities and help coordinate the interview process — final hiring decisions are made by the confidential client.
• You’ll get clear communication about next steps, interview preparation resources, and transparency about how AI tools may be used in initial screening.

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How to Apply

Apply through the CareerTakes application flow. After you apply, CareerTakes may follow up to collect additional information and to share your profile with the confidential client. Final interviews and hiring decisions are made by the confidential client.

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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.