Senior Data Scientist

Senior Data Scientist: Drive Business Impact with Advanced Analytics

We are seeking a highly skilled Senior Data Scientist to join our team full-time. As a leader in healthcare technology, we provide innovative solutions that improve the management and access of cost-effective pharmacy benefits.

• Develop prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets.
• Work on exploratory data analysis to navigate datasets and draw broad conclusions.
• Provide optimization recommendations that drive established KPIs for product, marketing, operations, PR teams, and others.
• Interact with engineering teams to ensure solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability.
• Collaborate with business analysts and data engineers to understand and support their use cases.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Drive innovation by exploring new experimentation methods and statistical techniques to sharpen or speed up product decision-making processes.
• Cross-train other team members on technologies being developed while continuously learning new technologies from others.

• 5+ years of development of Data Science solutions with a proven track record of leveraging analytics to drive significant business impact.
• Bachelor's/Master's degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics, or related field.
• Proven ability to relate and solve business problems through machine learning and statistics.
• 4+ years of experience applying various machine learning techniques: regression, classification, clustering, dimensional reduction, time series prediction, and/or outlier detection, recommendation systems.
• Understanding of advantages and drawbacks of machine learning algorithms as well as their usage constraints including performance.
• 4+ years of experience in Python development of machine learning solutions and statistical analysis: Pandas, SciPy, Scikit-learn, XGBoost, LightGBM, and/or statsmodels, imbalanced-learn libraries and ML libraries like scikit-learn, TensorFlow, PyTorch, data wrangling and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn).
• Experience in working with large-scale datasets, including time series and healthcare data.
• Experience with NLP, deep learning, and GenAI.
• Experience diving into data to consider hidden patterns and conducting error analysis.
• 2+ years experience in data visualization: Power BI, Tableau, and/or Python libraries like Matplotlib and Seaborn.
• Experience with SQL for data processing, data manipulation, sampling, reporting.
• 3+ years experience creating/maintaining OOP Machine Learning solutions.
• Understanding of CRISP-ML(Q) / TDSP concept.
• 1+ year of experience with MLOps: integration of reliable Machine Learning Pipelines in Production, Docker, containerization, orchestration.
• 2+ years of experience with Clouds (AWS, Azure, GCP) and Clouds AI And ML Services(e.g. Amazon Sage Maker, Azure ML).
• Excellent time and project management skills, with the ability to manage detailed work and communicate project status effectively to all levels.

We offer a competitive benefits package that includes comprehensive medical coverage, life insurance, gym membership, fuel, internet, and mobile allowances, and provident fund. Additionally, we provide tailored education paths, growth environments, flexibility, and global impact.

A welcoming environment is fostered within the company, featuring a friendly team, open-door policy, informal atmosphere, and regular team-building events. With cutting-edge projects, skilled colleagues, and the latest tech stacks, you'll have ample opportunities to boost your skills and make a difference.

Be bold, not bored. Experiences of tomorrow engineered together.