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Data Scientist
Pune, India
Actively hiring, first seen by us 3 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Job Category: Data Scientist Job Type: Full Time Job Location: Pune,India
Read the full posting
What you’ll work on
Full postingWork with customers to understand business challenges and propose modeling solutions
Apply statistical analysis and modeling to small and large datasets for sales problems
Translate business requirements into technical requirements for statistical and ML work
Study data sources to find insights and correlations for business challenges
Deploy data science solutions at scale using best practices
From the employer’s posting
Work with customers as needed to understand their business challenges and propose new modeling and algorithmic solutions
Apply statistical analysis and modeling techniques on small and large datasets to solve specific business problems in the installed base sales automation domain.
translate business requirements into technical requirements that can be addressed with statistical and machine learning techniques
Study data sources and find insights/correlations to investigate how data science can be used to solve existing and new business challenges.
Use best practices in applying and deploying data science at scale.
Education & alternatives
- 5+ years of hands-on experience in machine learning, statistics, or experiment design. - Master’s Degree required in Statistics, Mathematics, Econometrics, Operations Research, - Computer Science, Physics, or a related field with a focus on data analysis.
Must Have Skills - Machine Learning, Master’s degree required in statistics, Mathematics, econometrics Preferred Skills
About Entytle
Entytle is a global provider of Installed-Base Sales Automation solutions that help B2B manufacturers increase customer loyalty and lifetime value, thus creating customers for life.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 10, 20263 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 13, 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
Entytle is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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
- R
- SQL
- AWS
Where the posting names them
- Ability to effectively communicate technical concepts to both technical and non-technical staff members and customers. - Proficiency in data analysis and programming languages such as SQL, Python, and R. - 5+ years of hands-on experience in machine learning, statistics, or experiment design.
- Demonstrated experience in applying machine learning to real-world problems. - Familiarity with software development cycles, source control systems (including Git), databases, and cloud computing platforms such as AWS. - Knowledge of large equipment manufacturing installed base sales, recurring revenue, and equipment service would be a plus
Your next step
Complete your application on entytle.com. The employer’s form will show what is required.
Already applied? Track this application
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
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Data Scientist
Responsibilities:
- Work with customers as needed to understand their business challenges and propose new modeling and algorithmic solutions that leverage the latest statistical and machine learning techniques.
- Work collaboratively with the rest of the data science team, data engineers, developers, and product management to translate business requirements into technical requirements that can be addressed with statistical and machine learning techniques.
- Study data sources and find insights/correlations to investigate how data science can be used to solve existing and new business challenges.
- Apply statistical analysis and modeling techniques on small and large datasets to solve specific business problems in the installed base sales automation domain.
- Use best practices in applying and deploying data science at scale..
Competencies:
- Strong sense of and an ability to cultivate an environment of teamwork, and a willingness to help others.
- Ability to effectively communicate technical concepts to both technical and non-technical staff members and customers.
- Proficiency in data analysis and programming languages such as SQL, Python, and R.
- 5+ years of hands-on experience in machine learning, statistics, or experiment design.
- Master’s Degree required in Statistics, Mathematics, Econometrics, Operations Research,
- Computer Science, Physics, or a related field with a focus on data analysis.
- Expertise in machine learning, statistics, and data analysis. Must have an excellent knowledge of advanced methods and experience in applying those methods to a variety of problems.
- Solid grasp of probability, statistical or mathematical modeling, with analytical and quantitative problem-solving ability. Experience with time-series analysis would be a plus.
- Demonstrated experience in applying machine learning to real-world problems.
- Familiarity with software development cycles, source control systems (including Git), databases, and cloud computing platforms such as AWS.
- Knowledge of large equipment manufacturing installed base sales, recurring revenue, and equipment service would be a plus
Must Have Skills
- Machine Learning, Master’s degree required in statistics, Mathematics, econometrics
Preferred Skills
- Cloud computing platform
About Entytle:
Entytle is a global provider of Installed-Base Sales Automation solutions that help B2B manufacturers increase customer loyalty and lifetime value, thus creating customers for life. Entytle has built Entytle Insyghts, an AI-powered platform that enables customers to assemble data from multiple, siloed systems and processes that data to identify usage patterns and customer segments, deliver opportunities for parts and services sales, and drive aftermarket revenue growth. Founded in 2014, the company is based in Austin, TX, with a growing office in Pune, India.
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Pune, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.