[Hiring] Data Scientist @OneMagnify

Role Description

As a Data Scientist at OneMagnify, you'll translate complex business problems into analytical solutions that directly shape how clients understand their customers and make decisions. This is a craft-focused role sitting at the intersection of data engineering, advanced analytics, and client delivery — where your models and insights show up in real products and real business outcomes. You'll work closely with data engineering, analytics, and client teams to ensure the work you build is rigorous, well-documented, and built to last.

The Impact You'll Have

• The analyses and models you build inform how clients in automotive, B2B, and industrial sectors run campaigns, prioritize customers, and allocate resources.
• A segmentation model you develop might shape how a manufacturer targets their dealer network.
• A forecasting solution you deploy might drive a client's quarterly planning.
• The work is technical, but the outcomes are concrete.
• You'll work across a range of analytical challenges: predictive modeling, experimentation, optimization, and KPI development.
• You'll also work hands-on in Databricks, building scalable pipelines and contributing to MLOps practices alongside engineering teams.
• You'll be expected to communicate findings effectively, building executive-ready visualizations in Tableau or Power BI.

What You'll Do

• Build and Deploy Analytical Models:
  • Design, develop, and validate predictive models — forecasting, classification, regression, and segmentation — with rigorous diagnostics and clear documentation.
  • Conduct A/B testing and causal analyses to support experimentation programs and measure the impact of client initiatives.
  • Develop optimization solutions (linear, mixed-integer, multi-objective) and ensure models are production-ready with monitoring in place.
• Work with Data at Scale:
  • Use Databricks for large-scale data processing and machine learning workflows, integrating data from diverse sources across complex client environments.
  • Monitor and validate data flows, develop data quality reporting, and perform root-cause analysis when issues surface.
  • Collaborate with data engineering teams on MLOps practices — MLflow pipelines, model deployment, lifecycle management, and version control via Git/GitLab.
• Turn Analysis into Decisions:
  • Execute advanced analyses, synthesize findings, and build executive-ready presentations and visualizations using Tableau and Power BI.
  • Develop new metrics and KPI reports that give clients and internal stakeholders a clearer view of business performance.
  • Communicate effectively with both business and technical audiences — adapting your framing to the room.
• Partner with Business and Engineering Teams:
  • Work with business partners and data engineering teams to elicit requirements, define business rules, and translate client needs into technical specifications.
  • Contribute to project meetings to align on scope, timelines, and analytical approach across multi-member engagements.
  • Test database changes prior to release and ensure data designs align with defined standards and governance requirements.
• Ensure Data Governance and Compliance:
  • Apply data governance, privacy, and compliance standards consistently across analytical work.
  • Document models, processes, and business rules clearly enough that others can reproduce, validate, and build on your work.

Qualifications

• Bachelor's degree in Computer Science, MIS, Statistics, Mathematics, Marketing Research, or a related quantitative field — or equivalent practical experience.
• 2–5+ years of hands-on analytics experience including predictive modeling, A/B testing, and optimization.
• Advanced SQL and Python for querying, manipulating, and interpreting data from databases and data warehouses.
• Hands-on experience with Databricks for large-scale data processing and machine learning workflows.
• Proficiency with Tableau and/or Power BI for analysis and stakeholder communication.
• Experience with Git/GitLab for version control and collaborative development.
• Strong Excel and PowerPoint skills.
• Proven ability to present analytical findings to management and partner effectively with both business and technical stakeholders.
• Understanding of data governance, privacy, and compliance standards.

Future-Ready Skills (Nice to Have)

• Familiarity with automotive or VIN data structures and the analytics use cases they support.
• Exposure to MLOps practices including model monitoring, feature stores, and end-to-end lifecycle management.
• Experience working within Martech or Adtech data environments — CRM analytics, audience segmentation, or campaign measurement.
• Understanding of MDM concepts and experience working with complex, multi-source data structures.
• Background in consulting, digital agency, or marketing services environments where you've navigated multiple client data contexts simultaneously.

Benefits

• Medical, dental, and vision coverage.
• 401(k) retirement plan.
• Paid holidays.
• Flexible Time Off (FTO) to recharge when needed.
• Additional programs focused on wellness, financial security, and professional growth.

Company Description

We believe that innovative ideas and solutions start with unique perspectives. That’s why we’re committed to providing every employee a workplace that’s free of discrimination and intolerance. We’re proud to be an equal opportunity employer and actively search for like-minded people to join our team.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.