Sr. Data Scientist

Motorola SolutionsConnecticut, US Offsite, CT
$120,000 - $130,000

About The Position

Motorola Solutions is seeking a Senior Data Scientist with strong machine learning expertise and a hands-on approach to lead their data initiatives. This role requires a self-starter capable of independently exploring data, identifying impactful opportunities, and driving solutions. The ideal candidate will not only fulfill business requests but also contribute to shaping the data strategy by identifying key areas for data utilization. Theatro, a user-friendly, voice-driven AI platform for retail workers, is a key part of the department, providing real-time communication to enhance safety, productivity, and customer service.

Requirements

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
  • 5+ years of hands-on experience building and deploying data science and machine learning models.
  • Proven ability to work independently and drive projects from idea to impact.
  • Expert in Python and SQL; strong experience with libraries like pandas, scikit-learn, and ML frameworks.
  • Familiarity with modern BI tools (Power BI, Tableau, etc.).
  • Deep understanding of ML and statistical methods: regression, classification, forecasting, optimization, A/B testing.
  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Excellent communication and collaboration skills, with the ability to influence stakeholders.

Responsibilities

  • Take full ownership of the data science and ML stack from the ground up, including tooling and infrastructure decisions.
  • Proactively analyze available data to identify business opportunities and recommend ML/AI strategies accordingly.
  • Drive the complete ML lifecycle: problem definition, data exploration, feature engineering, model development, deployment, and monitoring.
  • Deliver hands-on ML solutions across various domains (e.g., forecasting, churn prediction, optimization).
  • Communicate actionable insights and recommendations to both technical and non-technical stakeholders.
  • Partner with leadership and cross-functional teams to prioritize high-impact data initiatives.
  • Stay current with advancements in ML/AI and continuously bring innovation into our workflows.

Benefits

  • Incentive Bonus Plans
  • Medical, Dental, Vision benefits
  • 401K with Company Match
  • 10 Paid Holidays
  • Generous Paid Time Off Packages
  • Employee Stock Purchase Plan
  • Paid Parental & Family Leave
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