Senior Data Scientist

About Us

At VisionX, we are reshaping the convergence of AI and computer vision. Since our inception in 2017, we have enabled B2B enterprises to improve process efficiencies, drive revenue growth, and create a competitive advantage. We accomplish this by crafting outstanding bespoke product experiences for our clients, their customers, and the field workforce through advanced AI and emerging technologies.

Fast Company recognized us as one of the Top 10 Most Innovative Companies of 2020, alongside Microsoft and Snap Inc. We are trendsetters who innovate, build, and scale as your partner, providing technology that works with speed and agility, all while ensuring a competitive edge in affordability.

In addition to our AI solutions, VisionX serves as a GCC systems integrator for the most advanced AI-powered enterprise logistics platform tailored for warehouses, retail stores, and final-mile buildings.

Your Role

We're looking for a strategic and technically strong Senior Data Scientist with a proven background in E-commerce analytics and product attribution modeling. You'll be responsible for designing and implementing models that attribute user actions to product interactions and marketing channels, helping us better understand customer journeys and optimize product strategies.

Responsibilities:

- Lead the design and development of multi-touch attribution models, customer segmentation, and product affinity scoring.

- Analyze customer behavior and user journeys across the E-commerce funnel using first-party and third-party data.

- Develop machine learning models to predict purchase likelihood, LTV, churn, and product recommendations.

- Work with product, marketing, and engineering teams to design experiments and track KPIs.

- Clean, aggregate, and model large-scale structured and unstructured data from various sources (web, app, CRM, etc.).

- Communicate findings through visualizations, dashboards, and presentations to technical and non-technical stakeholders.

- Contribute to the development of data pipelines and MLOps infrastructure in collaboration with Data Engineering.

- Stay updated on the latest developments in attribution modeling, causal inference, and customer analytics.

What You Need:

- Bachelors/ Masters in Computer Science, Statistics, Applied Math, or a related field.

- 5+ years of experience in data science, preferably in E-commerce, retail tech, or digital marketplaces.

- Proven expertise in product attribution models, conversion path analysis, and marketing mix modeling.

- Proficient in Python (NumPy, Pandas, Scikit-learn, etc.) and SQL.

- Experience with ML libraries (XGBoost, LightGBM, TensorFlow, etc.).

- Strong grasp of statistical analysis, A/B testing, and causal inference techniques (e.g., propensity scoring, uplift modeling).

- Hands-on experience with BI tools like Tableau, Power BI, or Looker.

- Familiarity with cloud platforms (AWS, GCP, or Azure) and version control tools (Git).

- Excellent communication skills and the ability to present technical insights clearly.

- Experience with real-time personalization or recommender systems.

- Familiarity with tools like dbt, Airflow, and BigQuery.

- Background in pricing, merchandising analytics, or inventory optimization.

Why Choose Us

Our global network of industry experts and mentors helps shape your growth and future. We believe in delivering client value through our work. We build products that are not good or great, but outstanding.

You deliver We will make your stay and journey with us worthwhile.

We are an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.