Mumbai, Maharashtra, India
Open 3 months, first seen by us 91 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Forecast contact center demand daily and monthly, out to several years
Monitor forecast accuracy against actuals and explain the causes of error
Find ways to improve the call volume and productivity forecasting process
Provide analytical leadership to a cross-functional team building integrated forecasts
Explore Python automation frameworks for forecasting work
forecasting contact center demand at the daily and monthly time interval out to several years
Regularly assess the accuracy of forecasts by comparing them with actual outcomes
Identify opportunities to enhance existing call volume and productivity forecasting process.
Provide analytical leadership to cross-functional team structure that prepares detailed integrated forecasts across multiple lines of business, and segments.
Explore opportunities for creating frameworks for automation using Python.
- Applied knowledge of 3+ years’ experience in business planning and processes: significant forecasting experience, and strong modeling background required. Strong analytical, interpretive, and problem-solving skills with the ability to interpret large amounts of data. - Educational Background: MS/PHD Degree in quantitative discipline such as Statistics, Economics, Applied Math, Computer Science, Data Science or Engineering - Hands on experience delivering descriptive statistics, inference, and visualizations to communicate with partners and stakeholders.
Open 3 monthsWe first saw this posting 91 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 91
Up longer than most. Similar jobs usually come down between day 8 and day 59.
Well past JPMorgan Chase’s usual: its jobs come down by about day 15.
From 11,367 similar postings that came down, and 967 of JPMorgan Chase’s. Coming down is not always a hire.
366 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Take complex results and communicating them in an easily understood way, focusing on how specific results fit into the bigger picture. - Explore opportunities for creating frameworks for automation using Python. - Stay Informed on Industry Trends: Keep abreast of industry trends, emerging technologies, and best practices in forecasting to ensure the organization remains competitive and innovative in its approach.
- Quantitative Mindset: Strong operational analytic/strategy mindset to identify opportunities and solve them through data and business insights using advanced mathematical approaches. Strong analytical, interpretive, and problem-solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas. - Data Analytics and Software Proficiency: Experience leveraging analytical and statistical tools such as time series, regression, and other forecasting techniques using Python, R, or SAS. - Communication skills: Superior written and oral presentation / communication skills – the ability to convey complex information simply and clearly to senior leadership. Demonstrated understanding of business value drivers and aligning teams to achieve business objectives.
- Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.). - Strong applied technical skills in Python are preferred, with a willingness to transition from SAS or R if necessary. - Experience with Spark, Trifacta, HiveQL, Alteryx, and SAS
- Strong applied technical skills in Python are preferred, with a willingness to transition from SAS or R if necessary. - Experience with Spark, Trifacta, HiveQL, Alteryx, and SAS - Experience in conducting both exploratory and explanatory analyses, with the ability to deliver clear and effective presentations to stakeholders.
Preferred qualifications, capabilities and skills: - Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.). - Strong applied technical skills in Python are preferred, with a willingness to transition from SAS or R if necessary.
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New Data Scientist postings at the employers we follow are down 6% 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.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Join the dynamic Workforce Planning organization, highlighting the chance to deliver quantitatively driven solutions and contribute to a team that supports various functions. The Workforce Planning (WFP) organization it is a part of Consumer and Community (CCB) Operations division. The Workforce Planning (WFP) Data Science organization is tasked with delivering quantitatively driven solutions to support the core WFP functions (demand forecasting, capacity planning, resource scheduling, and business analysis & support).
As a Time Series Demand Forecasting Associate in Workforce Planning, you will be responsible for forecasting contact center demand at the daily and monthly time interval out to several years to assist with resource planning across CCB operations. The role is focused on time-series forecasting, inferential statistics, data analysis and consulting with stakeholders to understand and explain our dynamic business.
The role applies operational analytics and strategy tools to enhance the integrated planning process, identify enhancements to the overall the forecasting process while supporting the development of analytical tools. The goal is to provide business insights needed in ensuring that forecasts are appropriately planned and in line with expectations so that our contact center network is optimally staffed, service goals are being met, and budgets are appropriately planned.
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Mumbai, Maharashtra, India
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