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Senior Manager – Decision Science

Senior Manager – Decision Science

DataZymes Analytics Pvt. Ltd.Bangalore North, KA, in
9 days ago
Job type
  • Quick Apply
Job description

Job Description

QUALIFICATION REQUIRED A master's or doctoral degree in a relevant field such as applied statistics and mathematics, data science, computer science, operations research or a related discipline.

EXPERIENCE REQUIRED :

  • 8-12 years of experience in commercial analytics / decision sciences, in the pharmaceutical industry.
  • Proven experience in managing and delivering complex projects within the pharma analytics domain.
  • Strong expertise in commercial analytics like Multichannel Market ing Mix Measurement & Investment Optimization, Campaign Analytics    , HCP / Account Segmentation and Performance Analytics etc.
  • Preferred experience in Patient / Market Access / Sales Analytics.
  • Experience leading and mentoring teams on complex analytical projects.

Technical Skills :

  • Advanced knowledge of statistical analysis tools and programming languages such as Python, R, SAS, SQL, etc.
  • Strong understanding of AI / ML techniques and their applications in decision sciences.
  • Communication and Leadership :

  • Excellent communication and interpersonal skills. Ability to effectively collaborate with cross- functional teams and build relationships with clients.
  • Strong leadership abilities to guide and mentor team members.
  • RESPONSIBILITIES

    Project Planning and Delivery (Operations) :

  • Lead the strategic planning and execution of projects within the Decision Sciences vertical.
  • Collaborate with cross-functional teams to define project objectives, deliverables, timelines, and resource requirements.
  • Ensure effective project management, including scope management, risk assessment, and mitigation strategies.
  • Monitor project progress, identify bottlenecks, and implement corrective actions to ensure timely delivery of high-quality solutions.
  • Drive the development and enhancement of analytical products and solutions for commercial and marketing analytics.

  • Conduct market research and stay updated on industry trends, emerging technologies, and best practices.
  • Collaborate with internal stakeholders, including data scientists, software developers, and domain experts, to define product requirements.
  • Guide the product development lifecycle, from ideation and prototyping to testing, deployment, and maintenance.
  • Design, Develop, and deploy complex and innovative analytical solutions for clients.
  • Research and Development (R&D) :

  • Conduct ongoing research on statistical methodologies, data analytics techniques, and emerging trends in the pharmaceutical analytics domain.
  • Evaluate the feasibility and applicability of new statistical models, algorithms, and AI / ML approaches.
  • Collaborate with the R&D team to design and conduct experiments, analyse results, and propose innovative solutions.
  • Translate research findings into actionable insights and contribute to thought leadership through publications, white papers, or conference presentations.
  • Requirements

    COMPETENCIES : Communicating

    with Influence

    Analysis & Problem solving

    Professional Expertise Development

    Strong interpersonal skills, with an ability to take people along

    Capitalizes on opportunities to pursue value.

    Brings issues out in the open so that all concerns can address

    and find solutions.

    Has an open and learning mindset.

    Adapts to new learning approaches and methods

    Requirements

    Must Have Skills Good to Have Skills React NoSQL / MongoDB / Postgres & DB Semantics, (Couch-base will be a plus) Expertise on the Microsoft technology stack .Net, C# and REST APIs (.net framework 4.5+) OAuth standard / Bitbucket and Azure Strong experience in deployment of solution on cloud Good knowledge of Client-side scripting – JavaScript and jQuery, Ability to deliver software and artefacts independently Experience in implementing SSO Good communication skills. (life science exp is a plus) Good understanding of project architecture and software development Knowledge of design user friendly interface processes.

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    Senior Manager • Bangalore North, KA, in

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