Pay
$118K–$195K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist - Forecasting
New York, United States
Open 4 months, first seen by us 129 days ago- Pay
- Pay not listedSimilar roles state $118K–$195K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
Before you apply
- Employer’s visa record
- 291 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingDesign, develop, and deploy time-series forecasting models (ARIMA, SARIMA, ETS)
Build machine-learning forecasting models (GBM, Random Forest, XGBoost, LightGBM)
Develop hierarchical and multi-level forecasts across products, regions and channels
Run large-scale data extraction and analysis using SQL
Present model insights and lead forecasting strategy workshops with clients
From the employer’s posting
Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
Perform large-scale data extraction, transformation, and analysis using SQL
Present model insights and recommendations to senior client stakeholders. Lead workshops and forecasting strategy discussions with clients.
What you’ll bring
All qualificationsCore experience
- 10+ years of experience in applied data science or advanced analytics
- 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting
- Strong SQL skills for large-scale data processing
- Proven experience deploying models in cloud environments
Preferred experience
- Azure preferred
Qualification wording
10+ years of experience in applied data science or advanced analytics
5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting
Strong SQL skills for large-scale data processing
Proven experience deploying models in cloud environments (Azure preferred)
Posting record
Report an errorOpen 4 monthsWe first saw this posting 129 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 6, 2026129 days ago
- Recorded sightings
- 233
- Last seen by us
- Nov 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 129
Up longer than most. Similar jobs usually come down between day 8 and day 60.
At Tiger Analytics, jobs usually come down by about day 68.
From 11,617 similar postings that came down, and 27 of Tiger Analytics’s. Coming down is not always a hire.
Tiger Analytics is hiring
74 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is picking up
- Its jobs tend to stay up a long time
- 1% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- LightGBM
- NumPy
- pandas
- scikit-learn
- XGBoost
Where the posting names them
- Strong domain experience in CPG, FMCG, retail, or similar industries - Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels) - Strong SQL skills for large-scale data processing
- Develop hierarchical and multi-level forecasting solutions across products, regions, and channels - Perform large-scale data extraction, transformation, and analysis using SQL - Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.
- Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels) - Strong SQL skills for large-scale data processing - Proven experience deploying models in cloud environments (Azure preferred)
- Strong SQL skills for large-scale data processing - Proven experience deploying models in cloud environments (Azure preferred) Benefits
- Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS - Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM - Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
Your next step
Complete your application on apply.workable.com. The employer’s form will show what is required.
Applying through Workable
- No account needed. You can import your resume to fill in the form, or skip that and fill it in yourself.
Already applied? Track this application
Has Tiger Analytics posted this job before?
Yes. We’ve followed 2 other Senior Data Scientist - Forecasting jobs there since May 2026. All 2 are still up.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a Senior Data Scientist – Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.
You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.
Key Responsibilities
- Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
- Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
- Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
- Perform large-scale data extraction, transformation, and analysis using SQL
- Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.
- Translate business problems into analytical solutions.
- Present model insights and recommendations to senior client stakeholders.
- Lead workshops and forecasting strategy discussions with clients.
- Implement and operationalize models in cloud environments
- Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions
Requirements
- 10+ years of experience in applied data science or advanced analytics
- 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting
- Strong domain experience in CPG, FMCG, retail, or similar industries
- Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
- Strong SQL skills for large-scale data processing
- Proven experience deploying models in cloud environments (Azure preferred)
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.
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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- Location & working pattern
New York, United States
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