Data Scientist

Essential functions

• Design, implement, and maintain production-level statistical and machine learning models, with emphasis on time series forecasting and supply chain applications (demand planning a plus).

• Develop reusable analytical toolkits and frameworks to accelerate modeling efforts across the organization.

• Perform ETL, data wrangling, and feature engineering to prepare high-quality datasets for modeling.

• Apply supervised and unsupervised learning techniques (Random Forest, Decision Trees, XGBoost, LightGBM, ARIMA, ARIMAX, Holt-Winters, regression, hypothesis testing, etc.) to solve complex business problems. Deep Learning experience is a plus.

• Ensure model explainability and communicate insights in a business-consumable format through dashboards and visualizations.

• Collaborate with engineering teams to design, including distributed machine learning solutions.

• Utilize version control (git) and be familiar with CI/CD tools such as Jenkins and Docker.

• Work in an Agile environment to prioritize and manage analytics projects efficiently.

• Translate data insights into actionable business recommendations and communicate results effectively to stakeholders.

Qualifications

• 3+ years building solutions in the supply chain domain; demand planning experience is a plus.

• 5+ years delivering production-level analytical solutions, proficient with git; familiarity with Jenkins and Docker is a plus.

• 5+ years of experience with ETL/data wrangling.

• 5+ years applying statistical and ML techniques (regression, classification, clustering, tree-based models, time series forecasting, hypothesis testing).

• 4+ years of experience in model explainability.

• Proficiency in Python for business-centered modeling.

• Experience designing and supporting technical architecture, including distributed ML solutions.

• Data visualization and storytelling, with experience using at least one visualization tool (Tableau, Superset, etc.).

• Excellent communication, organizational skills, and ability to navigate ambiguity while managing multiple priorities.

We offer

• 100% payroll scheme, benefits by law (IMSS, INFONAVIT, 12+ vacation days)
• Benefits above the law: Vacation premium 50%, 5 PTOs, 3 sick days, 10 guaranteed public holidays per year
• Major medical insurance, Dental and Vision plan for an employee and direct family members
• Minor Medical Insurance (Multiservicios Médicos Santander) for an employee and direct family members
• Life Insurance and funeral expenses
• 5% savings fund, uncapped (matched by the company in the end of the year)
• Grocery cards/vouchers (Vales de Despensa)
• 30 days End of the Year Bonus (Aguinaldo)
• Opportunity to work on bleeding-edge projects with a highly motivated and dedicated team all over the world
• Individual career development plan and support from the best experts
• Professional development opportunities (Linkedin Learning, Cloud certification programs, access to corporate LMS integrated with other learning platforms)
• Well-equipped office in a business area of Guadalajara (quiet room, games room, air hockey, PS5, Nintendo Switch and Xbox Series X, pool table, ping pong, snacks, smoothies, and much more)
• Corporate social events (yoga, massages, sport tournaments, discussion panels, technical talks, lunch & learns)
• Flexible working hours
• Opportunity to relocate to another country where the company's offices are present.

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.