Senior Data Scientist (Advanced Analytics)

About the Position

Senior Data Scientist (Advanced Analytics)

In this role, you will design and deploy classical machine learning solutions - from time series forecasting and predictive modeling to optimization and dynamic scheduling systems - within SoftServe’s AI and Data Science Center of Excellence, a team of 170+ experts, including Data Scientists, ML Engineers, and Architects.

You will work closely with clients to transform complex, structured, and temporal data into production-ready solutions that drive operational efficiency and measurable business outcomes. As part of the CoE, you will also have opportunities to collaborate on initiatives related to Generative AI and agentic systems, expanding your impact across a broad AI landscape.

Responsibilities

• Design and develop time series forecasting models - using techniques such as ARIMA, Prophet, or gradient boosting - to support demand prediction, trend analysis, and business planning
• Build end-to-end ML pipelines for tabular data, covering data ingestion, feature engineering, model training, validation, and production deployment on cloud platforms
• Collaborate with business stakeholders and domain experts to translate operational challenges into scalable ML solutions for forecasting, scheduling, and optimization use cases
• Develop mathematical optimization and dynamic scheduling solutions using frameworks such as OR-Tools or PuLP to automate complex resource allocation and planning problems
• Apply statistical analysis and predictive modelling techniques to uncover patterns in structured and time-dependent data, generating actionable insights for decision-makers
• Establish and maintain model monitoring, retraining pipelines, and performance evaluation frameworks to ensure ongoing reliability in production
• Document methodologies, model performance, and findings, communicating results clearly to both technical teams and non-technical stakeholders

Requirements

• Advanced proficiency in Python with hands-on experience in scikit-learn, XGBoost, LightGBM, statsmodels, and Prophet for tabular and time series modelling
• Strong knowledge of time series forecasting techniques
• Solid understanding of mathematical optimization and dynamic scheduling frameworks such as OR-Tools or PuLP
• Strong foundation in statistics, with practical knowledge of hypothesis testing, regression analysis, and causal inference methods
• Proficiency in working with structured and tabular data, including advanced feature engineering, preprocessing, and handling of temporal dependencies
• Hands-on experience deploying ML models to cloud platforms (AWS, GCP, or Azure) and maintaining production-ready pipelines
• Hands-on experience with Generative AI and agentic systems
• Strong analytical and communication skills, with the ability to present complex findings clearly to non-technical stakeholders
• Master's or Ph.D. degree in Computer Science, Mathematics, Statistics, Operations Research, or a related field
• Upper-intermediate or higher proficiency in English, both spoken and written

We Offer

Flexible Work Model

Work from home, from the office, or in a hybrid format that supports focus and collaboration.

Compensation & Benefits

Competitive, market-based pay, benchmarked by role and location - plus health coverage, paid time off, wellness support, and learning opportunities.

People-first Leadership

Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.

Advanced Tech Communities

Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.

About the Company

We are a digital engineering and technology consulting company where expertise grows alongside people. For more than 30 years, we have been elevating technology: helping organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work across key areas: digital engineering, data and analytics, Cloud, and AI/ML. In each, we deliver practical, scalable solutions rooted in real business needs and measurable human impact.

You bring your perspective and ambition. We create an environment where your work meets clarity, confidence, and purpose.

Apply Now

Fill out the form, and we'll be in touch shortly.

More Opportunities Available

Browse all open positions to find the best fit for your experience.

Browse all positions