Data Scientist

About the Data Scientist Role at Nexus Consulting

Nexus Consulting is seeking an experienced Data Scientist to support high-impact strategic initiatives across a large-scale product and platform ecosystem. This globally remote role is ideal for a data professional with strong analytical depth, experience working with complex datasets, and a proven ability to translate data into actionable business insights. You will partner closely with Product and Engineering teams to drive product strategy, experimentation, and ecosystem health measurement.

Key Responsibilities

• Data Analysis & Modeling: Analyze large, complex datasets to identify trends, patterns, and actionable insights. Build statistical and predictive models to support product and ecosystem decision-making. Deliver high-quality ad hoc analysis in response to urgent business needs.
• Metrics & Measurement: Design, implement, and maintain key metrics to measure product performance, engagement, and ecosystem health. Develop frameworks for long-term performance tracking and reporting.
• Experimentation: Design and execute structured experiments to evaluate product features, partnerships, and strategic initiatives. Apply statistical rigor and causal inference principles to interpret results.
• Reporting & Visualization: Build dashboards and reports using tools such as Tableau, Unidash, or Metrics360. Communicate findings clearly to both technical and non-technical stakeholders.
• Cross-Functional Collaboration: Partner with Product and Engineering teams to define analytical requirements. Present insights that directly inform product strategy and roadmap decisions.

Minimum Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or related quantitative field.
• 5+ years of experience in data science, analytics, or similar roles.
• Advanced proficiency in SQL.
• Proficiency in Python or R.
• Experience with data visualization tools (Tableau, Unidash, Metrics360, or similar).
• Strong communication skills and ability to present complex insights clearly.
• Ability to work independently in a fast-paced environment.

Preferred Qualifications

• Experience working with large-scale data infrastructure in technology or platform ecosystems.
• Familiarity with big data tools (e.g., Presto, Hive, Scuba or similar technologies).
• Experience in experimentation design and causal inference methodologies.
• Prior experience in contractor or consulting environments.
• Previous experience at a major technology company.

Work Environment

This is a fast-paced, product-driven environment with strong cross-functional collaboration across product and engineering teams. While the role is 100% remote (global), the team interacts frequently.

Key Skills/Competency

• Data Analysis
• Statistical Modeling
• Predictive Analytics
• Experimentation Design
• Causal Inference
• SQL
• Python/R
• Data Visualization
• Product Analytics
• Cross-functional Collaboration