Senior Data Scientist

Optum India; Hyderabad; On-site; INR 2,600,000 - 6,000,000; Full time

Job summary

Optum India is seeking a data science professional to design and deploy AI-powered solutions that enhance products, workflows and decision-making across the organization.

You will develop predictive models, manage ML pipelines, collaborate with BI and analytics teams to maximize analytical value and drive scalable data services in production.

The role emphasizes strong communication, teamwork and continuous improvement within a global health care context.

Qualifications

• Bachelor's Degree in IT/CS/analytics or related field.
• 5+ years in data science project development.
• 5+ years with Azure Cloud, Databricks, MLflow, Spark SQL and Python.
• Experience with ML algorithms: regression, SVM, clustering, trees, NN, etc.
• Proficiency in Python and Spark SQL.
• Strong communication and teamwork.

Responsibilities

• Develop predictive models using ML algorithms.
• Develop and run scripts for ML model inference.
• Test hypotheses and present results to technical and non-technical audiences.
• Design, implement, and maintain CI/CD pipelines for MLOps/DevOps.
• Create artifacts like STM, HLD, LLD for production prototypes.
• Apply data modeling, statistics and math to identify opportunities.
• Work with SQL, R, Python, Hadoop for data analysis.
• Communicate ML performance across interdisciplinary teams.
• Develop scalable data services catalog and optimize models in production.
• Ensure compliance with employment policies.

Skills

Python programming

SQL

Machine Learning

Data analysis

Azure Cloud

Databricks

Spark SQL

Education

Bachelor's degree in IT/CS/analytics

Job description

Job Description:

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities

• Drive client value by:
  • Developing predictive models using various machine learning algorithms/best practices
  • Developing and running scripts for ML model inference
  • Testing various hypothesis and presenting back to the technical/non-technical audience
  • Performing cost benefit analysis for various DS initiatives
  • Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions
  • Creating artifacts like STM, HLD, LLD for hardening prototypes into production (prototype to hardening)
  • Be able to apply knowledge of data modeling, statistics, machine learning, programming, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to more actionable insights
  • Working with analytics and statistical software and products, such as SQL, R, Python, Hadoop and others to perform analysis and interpret data
  • Communicate the performance of the machine learning algorithms across an interdisciplinary team
• Create impact at scale by:
  • Developing and managing a comprehensive catalog of scalable data services that expand the value of analytical offerings
  • Looking for opportunities for continuous improvement/optimization of models in production
  • Data Drift
  • Champion (Prod Model) Vs Challenger (Enhanced Dev Model)
  • Implementing best practices on ML architecture/workflows etc
  • Collaborating with business intelligence architects and domain analysts to maximize the effectiveness of business intelligence tools, dashboards, and other dynamic reporting capabilities
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications

• Bachelor's Degree (preferably in information technology, engineering, math, computer science, analytics, engineering or other related field)
• 5+ years of experience in handling/active development in data science projects
• 5+ years of experience in Microsoft Azure Cloud, Databricks, Mlflow, Spark SQL & Python
• Experience using Machine Learning Algorithms: Linear & Logistic Regression, Time Series analysis, Support Vector Machine, K-Means clustering, K-Nearest Neighbors Decision Trees, Random Forest, Naive Bayes, PCA, SVD, Artificial Neural Networks, Association Rules, Genetic Algorithm, Optimization, Bagging and Boosting algorithms etc.
• Understanding for data, schema, data model, machine learning and how to bring efficiency in big data related life cycle
• Proficient with hands-on experience in Python coding, Spark SQL and any other programming language along with corresponding language packages
• Proven skills to create opportunities using machine learning or artificial intelligence
• Proven excellent communication and presentation skills
• Proven solid analytical, problem-solving skills
• Proven cooperative and team player attitude

Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.