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Über
Hybrid (2-3 days onsite)
JOB TYPE:
Full-time
SALARY:
DOE!
OVERVIEW BrainWorks is currently seeking a
Data Scientist
for a full-time opportunity in Boston, MA (hybrid). This role sits within a growing data science function at a high-growth, IoT-driven organization and is focused on applying machine learning and advanced analytics to solve real-world business problems.
This is not a traditional, research-oriented data science role. The position requires someone who can operate across customer analytics, product experimentation, and operational machine learning, while working through ambiguous problem statements, imperfect data, and evolving business needs. The ideal candidate will be early in their career (2–5 years of working experience) but already demonstrating strong ownership, curiosity, and the ability to independently structure and solve problems.
KEY RESPONSIBILITIES
Develop and apply machine learning models to support customer analytics, including churn, lifetime value, and expansion opportunities
Design and analyze experiments in real-world environments where data may be limited, indirect, or noisy
Leverage event-driven and IoT data to identify leading indicators and support proactive operational decision‑making
Take loosely defined business problems and structure clear analytical approaches
Work with incomplete or imperfect datasets to generate meaningful, actionable insights
Translate analytical outputs into clear recommendations that drive business decisions
Partner cross‑functionally with Product, Engineering, Operations, and Commercial teams
Contribute to building scalable approaches to experimentation, modeling, and insight generation
REQUIRED QUALIFICATIONS
2–5 years of experience in data science, machine learning, or advanced analytics
Strong foundation in machine learning and applied statistics
Hands‑on experience with:
Python (modeling, analysis, experimentation)
SQL (data extraction, joins, transformations)
Experience building, evaluating, and iterating on machine learning models (e.g., classification, regression, or similar approaches)
Demonstrated ability to:
Work through ambiguous problems and define a structured approach
Deliver insights from imperfect or incomplete data
Connect data outputs to business decisions and outcomes
Strong communication skills, with the ability to clearly explain technical thinking to non‑technical stakeholders
NICE‑TO‑HAVE
Experience working across the full lifecycle: data → modeling → insights
Exposure to experimentation frameworks or product analytics
Experience working with event‑driven, time‑series, or IoT data
Familiarity with AI tools (e.g., ChatGPT, Claude) as part of day‑to‑day workflow
Demonstrated curiosity through side projects, experimentation, or self‑driven learning
WHAT SUCCESS LOOKS LIKE IN THIS ROLE
Ability to take ambiguous problems and independently structure solutions
Confidence working with messy, indirect, or incomplete datasets
Demonstrated technical depth — able to go beyond surface‑level explanations
Clear translation of analytical work into business impact
Growing ownership over both problem definition and solution design
DISCLAIMERS In accordance with applicable federal, state, and local pay transparency and fair hiring laws, the target annual base salary range for this position is $130,000 - $140,000.
Final compensation will be determined based on several factors, including but not limited to relevant experience, education, skills, qualifications, internal equity, and work location.
This position may also be eligible for additional forms of compensation as well as a comprehensive benefits package provided by the hiring employer. Benefits may include medical, dental, vision, life insurance, disability coverage, 401(k) or retirement plan, paid time off, and other employee programs.
We are committed to providing equal employment opportunities to all qualified applicants and employees. Employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), gender identity or expression, sexual orientation, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law.
All hiring decisions are made by the hiring employer, which is expected to comply with all applicable federal, state, and local employment laws and verification requirements. BrainWorks complies with all applicable employment laws and encourages employers to provide reasonable accommodations for qualified individuals with disabilities throughout the application and employment process.
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Sprachkenntnisse
- English
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