• Associate Director - Data Science

Industry : IT
Location : Noida

Functional: IT Software - Application Programming / Maintenance
Job Description
About Us :
Spectrum Talent Management is a comprehensive HR services company offering solutions spanning the entire talent life cycle including Recruitment, Onboarding, Payroll and Flexible Staffing. Founded in 2008, we are a continuously growing, yet mature service firm specializing in recruitment and staffing requirements of global organizations. Our leadership and high acceptance in the market is evident by the phenomenal growth that we have demonstrated in just few years of our inception. From Permanent recruitment to Flexi staffing, Payroll management to RPO, the orbit of the value add that we provide our customers with has always evolved, and diversified from time to time. This has enabled us to become a preferred vendor with most of our clients.
About Company :
Our client builds new ways to make technology and health care work better for millions of people every day, from the most advanced development tools to the highest levels. They’re building incredible solutions every day by bringing out the best in their technology teams, and if you’re in, you’ll be challenged like never before! Join the team that’s changing the future of health care.
Roles and Responsibility :

Job Responsibilities:


-         Develop innovative data science solutions that utilize natural language processing, optimization, machine learning, natural language processing, econometric and/or Bayesian modeling, 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.


Desired Profile:


-         A minimum of ten 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; Master?s degree from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Econometrics, or related fields, PhD is preferred

-         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)

-         Facilitating and work with other Data Scientist in problem-solving sessions and work with and business leaders across the organization

-         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.

-         Ability to handle sizeable and diverse analytical teams (providing direction; client consultations; strategic support)

-         Should have 5+ years of hands on healthcare analytics experience across payer and provider domain

-         Should understand new trends in healthcare analytics

-         Strong understanding of Statistical Modeling, Advanced Analytics methods, Machine Learning, familiarity with ?Big Data? frameworks

-         Good communication skills (both oral & written) in order to participate in project discussions internally within the team & with end customers

-         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


Recruiter Name : Kalpana
Recruiter Email Id : kalpana@spectrumtalentmanagement.com
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