Data Scientist
- Role
- Data Science
- Experience
- Senior
- Employment
- Full-time
- Company size
- Enterprise
Open to IN only. Set where you work from to check your eligibility.
Core skills
Required skills
Role OverviewJoin Capgemini Invent as a transformation consultant, blending strategic, creative, and scientific capabilities to deliver cutting-edge solutions. You will drive transformation tailored to client challenges, informed by science and data, and underpinned by purposeful technology.ResponsibilitiesConduct in-depth analysis of customer behavior and preferences to inform feature engineering and model architecture decisions.Apply expertise in supply chain analytics, including demand forecasting, inventory optimization, logistics, and procurement.Perform price sensitivity analysis, cost-plus pricing, value-based pricing, and promotional effectiveness analysis.Manage team efforts using Agile methodologies and track progress through JIRA.Lead the creation and delivery of Proposals, RFPs, RFQs, and pitches to large forums.Develop POC, MVP, and PoV assets with innovative use cases.RequirementsBachelor’s degree or equivalent (or 3 years of progressive experience per year of education).At least 4 years of experience in Information Technology.6-8 years of experience in data science with 1 year focused on supply chain analytics.Advanced degree (Master’s or Ph.D.) in Data Science, Manufacturing Management, Operations Research, or Industrial Engineering preferred.Experience in a consulting environment is highly desirable.SkillsPythonAzureSQLSparkTableauBenefitsFlexible work arrangements including remote work and flexible hours for healthy work-life balance.Structured career growth programs and diverse professional opportunities.Access to valuable certifications in latest technologies such as Generative AI.
What you'll do
- Conduct in-depth analysis of customer behavior and preferences to inform feature engineering and model architecture decisions.
- Apply expertise in supply chain analytics, including demand forecasting, inventory optimization, logistics, and procurement.
- Perform price sensitivity analysis, cost-plus pricing, value-based pricing, and promotional effectiveness analysis.
- Manage team efforts using Agile methodologies and track progress through JIRA.
- Lead the creation and delivery of Proposals, RFPs, RFQs, and pitches to large forums.
- Develop POC, MVP, and PoV assets with innovative use cases.
What they require
- Bachelor’s degree or equivalent (or 3 years of progressive experience per year of education).
- At least 4 years of experience in Information Technology.
- 6-8 years of experience in data science with 1 year focused on supply chain analytics.
- Advanced degree (Master’s or Ph.D.) in Data Science, Manufacturing Management, Operations Research, or Industrial Engineering preferred.
- Experience in a consulting environment is highly desirable.
Benefits
- Flexible work arrangements including remote work and flexible hours for healthy work-life balance.
- Structured career growth programs and diverse professional opportunities.
- Access to valuable certifications in latest technologies such as Generative AI.
Information Technology