Palira Inc.
Website:
inctoinc.org
Company:
https://www.linkedin.com/company/palira-inc
Seniority: Mid-Senior level
Industries: Data Infrastructure and Analytics
Job details:
Who We Are
Palira Inc. is a US-incorporated Analytics and AI enablement company working with global clients across CPG, Retail, and Healthcare. We are a lean, client-facing team. Every engagement we own is end to end, from understanding the business problem to ensuring the solution is activated within the client ecosystem. We are a rapidly growing firm, adding more logos and talent year over year.
Who We Are Looking For
A hands-on, business-oriented Data Scientist who can walk into an ambiguous situation, ask the right questions, design the right solution, and deliver something the client acts on. You are able to:
- Understand the problem and choose the right model(s), assess and explain the pros and cons of different methodologies, and defend your choice rigorously (reviewing existing literature, white papers, past experiences, or legacy models at the client end)
- Write code in new or existing environments/platforms to deploy the solution, and keep it serviced and updated for continuous usage
- Work with different tech stacks used in industry for deploying analytical solutions (Fabric, Snowflake, Databricks, etc.)
- Use AI tools to work faster and smarter
- Give a clear brief to data engineering teams on what data is required and in what format
- Bring strong familiarity with CPG, FMCG, and Retail data (Media data, POS, Sales, Financials, SKU/Brand Architectures, FMCG KPIs and Metrics, etc.) this is a must
Working Style We Expect
• You work independently; you do not wait to be told what to do next
• You understand the business problem before you open your IDE
• You communicate your approach, results, and limitations clearly to non-technical stakeholders
• You are comfortable with ambiguity and fast-changing requirements (think a fast-growing startup)
• Agency: you treat the client's outcome as your outcome, not just your deliverable
What You Will Do
• Own data science engagements end to end: problem definition, model development, deployment, and stakeholder communication
• Build and deploy models across forecasting, pricing, and marketing analytics for global clients
• Translate messy, ambiguous business problems into structured, actionable analytical solutions
• Present findings and model outputs in a way that drives real decisions, not just reports
• Work with engineering teams to take solutions from prototype to production, then monitor and improve based on real-world performance
Good to Have
• Experience working with US clients
Details
Full-time • Remote, India
How To Apply
Applications are reviewed only through this form. Shortlisted candidates will hear from us within 5 working days.
To apply, please fill out this form:
[https://forms.gle/mT76ofT3PimRrGrEA]
Click on Apply to know more.
