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Information Technology 🏒 Full Time ⭐️ Verified

Senior Data Scientist

Nexus Analytics
Boston
Estimated Salary
USD 120.000 – USD 160.000
Live Update
20 Juli 2026
Deadline
20 Jul 2027

Job Description

Are you a visionary data scientist looking to make a tangible impact? Nexus Analytics is hiring immediately for a Senior Data Scientist in the heart of Boston, MA. We are a premier technology firm driving innovation across the fintech sector, and we are looking for a problem solver to lead our advanced modeling initiatives.

In this role, you will bridge the gap between complex data engineering and strategic business decisions. You will work in a collaborative, fast-paced environment that values creativity and technical excellence. If you are ready to accelerate your career with a top-tier team, apply today.

Why You'll Love It Here

  • Competitive Compensation: Base salary ranging from $120k to $160k, plus performance bonuses.
  • Hybrid Work Model: Enjoy the flexibility of working from our historic Boston office or remotely.
  • Growth Opportunities: Direct mentorship from industry veterans and clear pathways to leadership.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and predictive algorithms.
  • Collaborate with product managers and engineers to define data requirements and implement data pipelines.
  • Perform rigorous exploratory data analysis (EDA) to uncover actionable insights and drive business growth.
  • Optimize existing models for accuracy, speed, and scalability using Python and cloud technologies.
  • Communicate complex analytical findings to non-technical stakeholders through clear visualizations and reports.
  • Stay current on industry trends and integrate new methodologies into our tech stack.

Qualifications

  • Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in data science, machine learning, or statistical analysis.
  • Strong proficiency in programming languages such as Python, R, and SQL.
  • Deep understanding of statistical analysis, A/B testing, and experimental design.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Exceptional problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python SQL Machine Learning TensorFlow AWS Data Analysis Statistical Modeling A/B Testing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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