Senior Data Scientist

Essential functions

Collaborate with data experts and stakeholders to understand business objectives and Identify opportunities for leveraging data to drive decision-making and business growth.
Design and implement advanced data models, algorithms, and statistical analyses to extract meaningful insights from large and complex datasets.
Develop and deploy machine learning models using Databricks for predictive analytics, anomaly detection, and other data science applications.
Conduct exploratory data analysis to identify patterns, trends, and correlations in the data, and communicate findings to both technical and non-technical stakeholders.
Stay up to date with the latest advancements in data science, AI, and machine learning techniques, and proactively identify opportunities to apply them to business challenges.
Mentor and provide guidance to junior data scientists, sharing best practices and fostering a culture of continuous learning and improvement.

Qualifications

Bachelor’s or master’s degree in Computer Science, Statistics, Mathematics, or a related field.
Proven experience as a Data Scientist, with a strong track record of delivering impactful data-driven solutions.
Strong knowledge of both Generative AI and traditional AI techniques, including deep learning, natural language processing, and statistical modeling.
Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
Strong problem-solving skills and the ability to think critically and creatively to develop innovative data-driven solutions.
Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
Strong attention to detail and the ability to work independently and manage multiple projects simultaneously.
Experience working in a collaborative, cross-functional team environment is highly desirable.

Would be a plus

Proficiency in using Databricks for data science work, including data preprocessing, feature engineering, model training, and evaluation.
Apply both Generative AI and traditional AI techniques to solve complex business problems and optimize processes
Solid understanding of data visualization techniques and tools (e.g., Qlik, Tableau,
Power BI) to effectively communicate complex findings to stakeholders.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

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.