DataZymes - Decision Science Consultant - Python

1 week ago

Bengaluru, India Datazymes Full time

EXPERIENCE REQUIRED : - 4+ years of experience in analytics or decision sciences, with a focus on the pharmaceutical industry.- Demonstrated experience executing analyses and supporting delivery on complex pharma analytics projects.- Strong expertise in commercial analytics like Market Mix Modelling, Test and Control analytics, OCE analytics, Budget Optimization etc.- Preferred exposure to Patient analytics, Market Access analytics, or Sales analytics.- Experience collaborating with cross-functional teams; informal mentoring or peer coaching is a plus.- Power BI or similar dashboarding experience (e.g., Tableau, Looker) is a plus.Technical Skills : - Advanced knowledge of statistical analysis tools and programming languages such as Python, SAS, SQL, etc. along with a strong hold on Microsoft suit- Strong understanding of AI/ML techniques and their applications in decision and Leadership : - Excellent written and verbal communication; able to translate analyses into crisp, client-ready narratives, collaborate with cross-functional teams, and build strong client relationships.- Demonstrates ownership and initiative; contributes to thought leadership (POVs, case studies, & day to day operations : - Support planning and day-to-day execution of Decision Sciences projects, owning defined workstreams and deliverables.- Partner with cross-functional teams to clarify objectives, scope, timelines, and resource needs; maintain project trackers and documentation.- Perform hands-on analytics, data preparation, and QC; flag risks/blocks early and propose practical mitigations.- Monitor progress against milestones and quality standards to ensure on-time, high-quality delivery.- 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.Product & Solution Development : - Contribute to the design and enhancement of analytics solutions for commercial and marketing use cases.- Stay current on industry trends, tools, and best practices; synthesize learnings into actionable recommendations.- Build, validate, and help operationalize models, pipelines, and dashboards as part of Apply and evaluate statistical/ML techniques relevant to pharma analytics; compare methods for fit, accuracy, and interpretability.- Design small experiments/POCs, analyze outcomes, and summarize implications for client use.- Translate methodological findings into clear guidance, POVs, and internal playbooks. (ref:hirist.tech)

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