Data Scientist – SAS, R, Python Statistical Techniques Lead

Número de la requisición: 2304368
Categoría de la vacante: Business & Data Analytics
Ubicación: Bangalore, Karnataka

Doctor consulting nurse at nurse station.

Trabajos con UnitedHealth Group

Estamos creando oportunidades en cada rincón del mercado de salud para mejorar vidas mientras construimos carreras. Y eso significa oportunidades de crecimiento profesional continuo para usted. Mientras le apoyamos con las últimas herramientas, capacitación avanzada y la fuerza unida de los compañeros de trabajo de alto calibre, usted puede continuar siguiendo el camino del mejor trabajo de su vida. SM

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:

  • 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.
  • 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:

  • Experience in Analytics industry
  • Working experience of statistical techniques (like linear regression, logistic regression, time series analysis, clustering, and decision trees) and advanced techniques like SVM, GBM and NLP
  • Proficient in tools such as SAS/R/Python, Microsoft Office Excel/Access/PowerPoint
  • Acquire understanding of US healthcare Domain
  • Professional, service oriented, proactive and flexible
  • Proven excellent interpersonal and team skills
  • Proven excellent written and oral communication skills
  • Proven excellent problem solving abilities
  • Proven ability to work well under pressure in a fast-paced environment while demonstrating good level of maturity
  • Proven ability to handle and summarize large data sets using SQL or Hive-SQL
  • Proven ability to engage in client communications for all important functions including data understanding/exploration, strategizing solutions etc.
  • Proven ability to leverage Optum, part of the UnitedHealth Group family of businesses, big data analytics infrastructure comprising Hadoop, Revolution R, Visual SAS and SAS Fraud framework to solve complex business problems in 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.

Información adicional sobre la vacante

Número de la requisición 2304368

Segmento de negocio Optum Global Advantage

Disponibilidad para viajar No

País IN

Estado de horas extras Exempt

Vacante de teletrabajo No