Senior Data Scientist; Hybrid

Key Responsibilities

• AI & Analytics Leadership:
  Lead and direct the strategic Artificial Intelligence & Analytics stream within the Design & Tools ecosystem to maximize team outcomes.
• Serve as the primary technical subject matter expert across the organization to guide internal data strategies.
• Understand complex partner requirements and translate them into augmented experiences that elevate overall user workflows.
• Predictive Modeling & Custom ML:
  Design, build, and deploy advanced analytical and statistical machine learning models to guide business decisions.
• Construct custom predictive and prescriptive machine learning models tailored for preventative system health checks.
• Architect automated root cause analysis tools and advanced system log analytics to discover critical data insights.
• Ecosystem Integration:
  Synthesize and enable high‑performing automation solutions within the core software technologies driving the CMO organization.
• Embed intelligent data models seamlessly into enterprise platform tools including Salesforce and Service Now.
• Collaborate across technical lines to integrate distinct data layers into a single, active operational fabric.

• Machine Learning & Statistical Modeling to design predictive infrastructure and deploy statistical algorithms.
• Data Mining & Analytics to process large‑scale datasets and extract operational insights.
• Salesforce & Service Now Development to embed automated logic and workflows within standard corporate tools.
• Python / R Programming to write clean, scalable data science code and maintain custom software modules.
• System Log Analytics to observe system health metrics and interpret log data patterns.
• Solution Translation to convert real‑world stakeholder requirements into production‑ready software deployments.
• Project Orchestration to independently manage analytics initiatives from initial data gathering through final model deployment.
• Technical Communications to explain complex technical concepts with complete clarity to both non‑technical and executive partners.

• Familiarity with building agentic or delegate workflows within cloud enterprise architecture.
• Experience designing cognitive shortcuts or system checks that reduce operational friction for global technical teams.

Target Base Salary Range: $120,000- $140,000.

• Bachelor’s degree in Data Science, Computer Science, or an IT related field.
• 4+ years of experience in data analytics, data mining, or machine learning.
• Legal authorization to work in the U.S. indefinitely is required.
• Employer work permit sponsorship is not available for this position.

Under 10%.

None.

Experienced Referral Payment Plan Yes.

• 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.
• More benefits.

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally protected characteristic.

We are committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete the Reasonable Accommodations Form so we can assist you.

If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team. We’re committed to providing an inclusive recruiting experience for all candidates.