Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
We are also market leaders in AI and analytics consulting in the retail & CPG industry, with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
We are looking for a Principal Data Scientist with a strong blend of analytical skills, deep knowledge of data science methodologies, and practical experience in applying algorithms to real business challenges to join our team.
Key Responsibilities:
- Lead statistical analysis and machine learning projects from conception through deployment, ensuring alignment with business objectives.
- Develop models and analyses tailored to client needs and make actionable recommendations based on results.
- Articulate and present complex data findings in a clear and accessible manner to both technical and non-technical stakeholders.
- Collaborate with cross-functional teams to leverage data insights and foster a data-driven culture.
- Mentor junior data scientists and provide leadership on best practices in data science methodologies.
- Stay updated on industry trends and emerging technologies in data science to drive innovation and enhance service offerings.
- Manage multiple projects and teams, ensuring timely delivery of high-quality results.
Requirements
- Master’s or PhD degree in Data Science, Statistics, Computer Science, or a related field.
- 8+ years of experience in data science, analytics, or a related field, with a strong focus on machine learning.
- Extensive experience with key programming languages such as Python and R, as well as data manipulation and visualization libraries.
- Experience with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is preferred.
- Solid understanding of machine learning algorithms and statistical techniques, including regression, classification, clustering, and time-series analysis.
- Strong problem-solving skills with the ability to think critically and determine innovative data-driven solutions.
- Excellent written and verbal communication skills, with the ability to convey complex information clearly.
- Demonstrated ability to lead projects and work collaboratively within a team environment.
- Experience in handling large datasets and using data visualization tools (e.g., Tableau, Power BI).
- Experience in the Retail or CPG industry is a plus.
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Skills Required
- Master's or PhD in Data Science, Statistics, Computer Science, or a related field
- 8+ years of experience in data science, analytics, or a related field
- Extensive experience with Python and R programming languages
- Experience with cloud platforms (AWS, Azure) and big data technologies (Hadoop, Spark)
- Solid understanding of machine learning algorithms and statistical techniques
- Experience in handling large datasets and using data visualization tools (Tableau, Power BI)
- Experience in Retail or CPG industry
Tiger Analytics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tiger Analytics and has not been reviewed or approved by Tiger Analytics.
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Fair & Transparent Compensation — Feedback suggests pay is viewed as fair and market-aligned for many roles and geographies. Consistent, on-time pay and competitive packages in key markets reinforce a generally positive baseline.
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Healthcare Strength — Feedback suggests U.S. medical coverage is strong, with administration via a known benefits platform and plan options seen positively. Health insurance is often regarded as a bright spot within the package.
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Leave & Time Off Breadth — Feedback suggests generous PTO, paid sick days and holidays, and flexible PTO alongside remote-work options. These elements indicate broad time-off provisions available on paper.
Tiger Analytics Insights
What We Do
Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. In India, our offices are located in Chennai, Hyderabad and Bangalore.
