Associate Director Data Science

Job Description

• Develop innovative data science solutions that utilize natural language processing, optimization, machine learning, natural language processing, econometric and/or Bayesian modelling, while working across a diverse range of domains such as risk management, product development, marketing research, supply chain, and public policy
• Utilize a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory analyses that will reveal insight and opportunities for the client
• Utilize a variety of rich variety of data sources such as web data, internal/external documents, emails, financial, transactional, sales, and operational data. Identify, review, and integrate data sources and identify the appropriate technologies (SQL, NoSQL, HDFS, S3, Lucene) to store the data
• Stay up to date on research and industry trends, and identify technical areas for opportunity and lead innovation projects that demonstrate value
• Educate internal and external clients through workshops, and present at conferences, seminars, courses, and training events
• Plan, direct, and build analytics solutions with a team of data science, big data engineers, consultants, and visualization experts
• Utilize a variety of big data technologies and analytics tools as deemed appropriate and as required by the client; be hands-on as needed to achieve project delivery
• Provide SME support to projects through supporting brainstorming, project scoping, technical approach creation, and technical quality review, while helping manage technical risks, and blockers helping to ensure successful delivery; document approach and underlying design decisions
• Devise analytical strategies for provider analytics which includes population health analytics, payer data analysis, care and wellness analysis etc.
• Understand US healthcare market stakeholders and create analytics offerings are the crossover of different stakeholders
• Exhibit a high level of expertise in driving the data strategy for multiple system data like claims, provider, EHR, pharmacy, and labs

Required Qualifications:

• Master s degree from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Econometrics, or related fields
• Minimum of 10 years of relevant experience and expert knowledge in at least one of the following fields: statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval
• 5+ years of hands on healthcare analytics experience across payer and provider domain
• Proficiency in programming languages (e.g. R, Python, Java, Scala) and ability to deploy tools in a Linux environment
• Broad understanding of databases (e.g. SQL, NoSQL, Lucene, Mongo), and high-performance or distributed processing (e.g. Hadoop, Spark)
• Practical working knowledge of multi-channel consumer marketing strategies with a deep familiarity with Life Time Value, Market Mix, and Optimization of acquisition cost, Real Time Offer etc.
• Strong understanding of Statistical Modeling, Advanced Analytics methods, Machine Learning, familiarity with Big Data frameworks
• Understanding in new trends in healthcare analytics
• Ability to handle sizeable and diverse analytical teams (providing direction; client consultations; strategic support)
• Good communication skills (both oral and written) in order to participate in project discussions internally within the team and with end customers
• Ability to facilitate and work with other Data Scientist in problem-solving sessions and work with and business leaders across the organization
• Ability to translate engagement objectives to a project plan with milestones, and resource/technology requirements, and teach, lead, and manage projects to successful execution
• Ability to work across multiple engagements with clients to assess needs, provide assistance, and resolve problems, using structured problem solving and communication to both technical and non-technical audiences

Preferred Qualification:

• PhD

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Keyskills :
compliance advisory finance reporting aturallanguageprocessing customerrelations bigdata highperformanceteams newtrends supplychain datamining