Decision Science Consultant

3 weeks ago

Bangalore Karnataka, India DataZymes Analytics Pvt. Ltd. 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 sciences Communication 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 playbooks RESPONSIBILITIES Delivery 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 deployment deliverables 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

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