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Posted 3 months ago

Senior Data Scientist - Operation Research

@ Tiger Analytics Inc.

Toronto, Ontario

RemoteFull-time10+ years experience
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Overview

Tiger Analytics is hiring a Senior Data Scientist to build optimization and pricing analytics for retail and CPG supply chains. The role refactors Python optimization code, applies advanced statistics and predictive models, and works with cross-functional teams. Requires 10+ years of data science experience and an MS or PhD.

Responsibilities:

  • Refactor Python optimization algorithms using object-oriented programming
  • Build pricing optimization and predictive models for retail and CPG
  • Analyze large datasets to derive actionable insights
  • Collaborate with cross-functional teams on business solutions
  • Coach and learn with a team of Data Scientists

Requirements summary:

  • 10+ years as a Data Scientist in supply chain optimization
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, or related field
  • Experience with Gurobi, Xpress MP, CPLEX, or Google OR-Tools
  • Strong Python, PySpark, and SQL proficiency
  • Exceptional communication and collaboration skills

Tools & skills

Source and dates

Employer career site / ATS feed · workable

Employer posting date
2026-08-03
First seen by our source
2026-10-10
Source record updated
2026-10-10

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentData & analytics
Experience10+ years
Hours per week40 (estimated)
Work settingOffice, Home
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationMaster’s degree (required), Doctorate (required)
Fields of studyComputer Science, Operations Research, Applied Mathematics, Machine Learning

Summary and details written by AI from the posting; the employer’s posting is the authority.

Tiger Analytics Inc.

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.

Full company description

In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.

LinkedIn followers
630,421
People associated on LinkedIn
6,613
Reported office locations
  • 2350 Mission College Blvd, Ste# 495, Santa Clara, CA 95054, US
  • 111 Town Square Pl, Jersey City, New Jersey 07310, US
  • 36 Robinson Rd, Singapore, Singapore 068877, SG
  • 55 E Monroe, Suite 3800, Chicago, Illinois 60603, US
  • 5151 Headquarters Dr, Plano, Texas 75024, US
  • 65 St Paul’s Churchyard, 3rd Floor Paternoster House, London, EC4M 8AB, GB
  • 383 Kent St, Level 17, Sydney, New South Wales 2000, AU
  • 200 Bay St, North Tower, Suite 1200, PO Box 96, Toronto, Ontario M5J 2J2, CA
  • RMZ Millenia Business Park 2, Campus 5, 2nd Floor, No. 143, Kandanchavadi, MGR Road, Perungudi, Chennai, Tamil Nadu 600096, IN
  • Prestige Tech Park, 1st floor Mercury Block, Kadubeesanahalli, Bengaluru, 560103, IN
  • 8th Floor, B block (iSprout), Divyasree Trinity, Hitech City Rd, Madhapur,, Hyderabad, Telangana 500081, IN
  • De Entree 252, Amsterdam, North Holland 1101 EE, NL
Business categories
  • News
  • Consulting
  • Analytics
  • Advertising
  • Big Data
  • Machine Learning
Other recorded names
  • Tiger Analytics
  • Tiger Analytics Inc.
Specialties
  • Machine Learning
  • Predictive Analytics
  • Forecasting
  • Natural Language Processing
  • Computer Vision
  • Cloud Data Platform Engineering
  • Data-as-a-service
  • Lean Data Governance
  • Modern BI & Data Warehousing
  • AI/ML Ops
  • ML Product Engineering
  • Data Engineering
  • Data Modernization
  • and Generative AI
Profile identifies a recruitment agency
No
Reported total investment
0

Currency and observation date were not supplied; this is not a current valuation or a funding round.

In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge…

FieldValue
IndustryBusiness Consulting and Services
Company size5,001-10,000 employees
HeadquartersSanta Clara, CA
Organization typePrivately Held
Year founded2011
SpecialtiesMachine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops
Open jobs on Jobsy81
LinkedInView page
Job description

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 CPG & retail 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 Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve Pricing techniques.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.
  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

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.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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