Job Information
UnitedHealth Group Advisory Service Senior Consultant- Data Scientist in Hyderabad, India
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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
In this position within Advisory Board's technology organization. We’re seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future. The position will play a critical role in all data technology initiatives as we continue this amazing journey of modernizing and innovating our data and technology ecosystem in support of our new and exciting business transformation.
Primary Responsibilities:
Work closely with data science team and Data Science leads as a lead on one or more projects throughout the engagement lifecycle, from design to implementation
Ensure high sense of project ownership
Ensure timely and proper communication to Business Partners and Leaders
Timely and quality delivery of engagements with minimum supervision
Work with the business teams to operationalize the analytics solution
Engage in communications with business partners for all important functions associated with the project including data understanding, solution design etc.
Team management: Includes but is not limited to utilization management, expectation setting, issue resolution, information flow, team bonding activities etc.
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:
8+ years of experience working with large-scale data / ML pipelines and their supporting infrastructure
At least 5 years of relevant, practical experience in Machine Learning
Experience with big data technologies, such as Spark/Spark SQL
Experience with Natural Language Processing, LLM prompt engineering and Generative AI
Solid background in machine learning and statistics
Solid foundation on data structures and algorithms
Solid software engineering skills
Proficiency in Python for numerical/statistical programming (proficiency need is high on Pandas/Numpy/Scikit-learn/PyTorch)
Proven good Exposure to AWS Services - EMR, AWS Sagemaker, AWS bedrock
Ability to write complex SQL queries
Knowledge of AB test design and analysis
Proven track record of leading the deployment and maintenance of models
Proven excellent interpersonal and team skills
Proven excellent written and oral communication skills
Proven excellent problem-solving abilities
Professional, service oriented, proactive, and flexible
Preferred Qualifications:
PhD or Masters in Computer Science, Engineering, Statistics, or related field
Certified AWS Certified Machine Learning
Experience working recommendation engines
Exposure to LLM offerings from various vendors
Understanding of US healthcare Domain
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. #njp
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