Sr Analyst, Data Science

Why project44

At project44, we believe in better.

We challenge the status quo because we know a better supply chain isnt just possibleits essential. Better for our customers. Better for their business. Better for the world.

With our Decision Intelligence Platform, Movement, were redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.

Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverseglobal team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.

If youre driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team we should talk.

Description:??

project44 is looking for a Sr Analyst, Data Science to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how project44 connects to the worlds logistics networks.?

About the Role

• We are looking for a Senior Product Analyst, Data Science, to drive analytics for ML-powered products at project44.
• This role sits at the intersection of Product, Data Science, and Operations, with a mandate to define how ML systems are measured, evaluated, and improved in production. You will own the analytical frameworks that connect model performance to product outcomes, ensuring our AI capabilities deliver measurable business impact.
• You will work on ambiguous, high-impact problems, designing experiments, evaluating models (offline and online), and shaping product strategy through data. This is not a reporting role. You are expected to operate as a thought partner to Product and Data Science, influencing decisions and driving outcomes.
• As analytics evolves, this role will focus on building AI-native and agent-driven analytics systems, including semantic layers, data contexts, and automated insight generation. You will help define how analytics is consumed in an environment where agents, not just dashboards, drive decisions.

What Youll Do

Own Product & ML Measurement

• Define and operationalize success metrics across product and ML systems, including north-star metrics, product KPIs, and model-level evaluation frameworks.

Drive Model Evaluation & Feedback Loops

• Evaluate model performance using offline and online metrics (e.g., precision/recall, lift, latency, adoption) and establish feedback loops to continuously improve models in production.

Translate Product Problems into Analytical Frameworks

• Break down ambiguous product and operational problems into structured analyses that drive clear, actionable decisions.

Partner Across Product & Data Science

• Work closely with Product Managers and Data Scientists to shape roadmaps, guide prioritization, and ensure alignment between model performance and user impact.

Build Scalable Analytics Foundations

• Develop reusable datasets (SSOTs, data marts) and enable self-serve analytics across teams.

Build AI-Native Analytics Systems

• Design and develop semantic layers, data models, and context systems that enable agent-driven analytics. Build and operationalize workflows where agents autonomously generate insights, monitor performance, and surface recommendations on a recurring basis.

Design Agent-Driven Analytics Workflows

• Design and implement agent-driven analytics workflows where insights are generated, monitored, and delivered autonomously using LLMs and modern AI tooling.

What Were Looking For

46+ years in Product Analytics, Data Science, or related roles, with experience supporting data-driven product decisions.

Analytical & Statistical Expertise

Strong foundation in statistics and experimentation, including hypothesis testing, A/B testing, and causal inference.

Technical Skills

Proficiency in SQL and Python, with experience working with large-scale, event-level datasets and modern data platforms.

ML Product Understanding

Experience defining and analyzing model performance metrics and understanding trade-offs between offline and online evaluation.

Cross-Functional Collaboration

Proven ability to work closely with Product and Data Science teams to drive outcomes.

Communication & Influence

Ability to clearly communicate complex analyses and influence stakeholders across technical and non-technical audiences.

Preferred Skills

• Experience working on ML-powered products or data platforms
• Familiarity with model evaluation concepts (precision/recall, ROC, calibration, bias/variance)
• Experience analyzing online vs offline performance and feedback loops
• Familiarity with modern data stack (dbt, Snowflake/BigQuery, event tracking, feature stores)
• Experience with predictive modeling or close collaboration with Data Science teams
• Hands-on experience using AI tools (LLMs, copilots) in analytical workflows
• Experience building or working with agent-based or AI-native analytics workflows
• Familiarity with semantic layers, metrics layers, or data context systems
• Experience using LLMs for automated analysis, insight generation, or decision support
• Strong product and business intuition

What Success Looks Like (612 Months)

• Establish clear measurement frameworks for assigned ML-powered products
• Improve visibility into model performance and diagnostics (offline and online)
• Deliver actionable insights that influence product roadmap decisions for assigned products
• Build scalable datasets and frameworks that enable self-serve analytics
• Enable tighter feedback loops between Product, Data Science, and real-world outcomes

In-office Commitment:This position requires a commitment to contribute to our collaborative culture by working in-office threedays weekly.

Diversity & Inclusion

At project44, were designing the future of how the world moves and is connected through trade and global supply chains. As we work to deliver a truly world-class product and experience, we are also intentionally building teams that reflect the unique communities we serve. Were focused on creating a company where all team members can bring their authentic selves to work every day.

Were building a company that every one of us at project44 is proud to work for, and our journey of becoming a more diverse, equitable and inclusive organization, where all have a sense of belonging, is shaped through the actions of our leadership, global teams, and individual team members. We are resolute in our belief that each team member has an equal responsibility to mold and uphold our culture.

project44 is an equal opportunity employer seeking to enrich our work environment by creating opportunities for individuals of all backgrounds and experiences to thrive. If you share our values and our passion for helping the way the world moves, wed love to review your application!

For any accommodation needed during the hiring process, please email? [HIDDEN TEXT]. Even if you dont meet 100% of the above job description you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the roles requirements.

More about project44

Since 2014, project44 has been transforming the way one of the largest, most important global industries does business. As transportation and logistics continue to evolve and customer expectations around delivery become more demanding, industry technology must rise to the occasion. In just a few short years, we have created a digital infrastructure that eliminates the inefficiencies caused by dated technology and manual processes. Our Advanced Visibility Platform is used by the worlds leading brands to track shipments, collaborate with supply chain partners, drive operational efficiencies, and create outstanding customer experiences.