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
BigQuery
Excel
Google Cloud Storage
GCP
Where the posting names them
Must-Have Skills
- Strong Python & SQL skills.
- Strong understanding of Statistics, Data Analysis and Machine Learning.
- Strong understanding of Statistics, Data Analysis and Machine Learning.
- Hands-on experience with BigQuery, Google Cloud Storage (GCS), VertexAI.
- Knowledge of Customer Data Platforms (CDP).
- Knowledge of Customer Data Platforms (CDP).
- Good proficiency in MS Excel.
- Strong analytical, problem-solving and communication skills.
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 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.
e are looking for a Data Scientist to join our analytics team and work on data-driven business problems. The role will involve propensity modelling, customer analytics, sentiment analysis and emerging AI/LLM use cases, with a strong focus on translating data into actionable insights and business strategies.
Job Description:
Key Responsibilities
Develop and maintain Machine Learning and statistical models for business and marketing use cases.
Work on propensity modelling, customer analytics, segmentation and sentiment analysis.
Perform data analysis, feature engineering, model development, validation and performance evaluation.
Translate business problems into data-driven solutions and strategies that contribute to client growth.
Work with large customer datasets and Customer Data Platforms (CDP).
Present insights and recommendations to clients and senior stakeholders.
Must-Have Skills
Strong Python & SQL skills.
Strong understanding of Statistics, Data Analysis and Machine Learning.
Hands-on experience with BigQuery, Google Cloud Storage (GCS), VertexAI.
Knowledge of Customer Data Platforms (CDP).
Good proficiency in MS Excel.
Strong analytical, problem-solving and communication skills.
Ability to work effectively with clients and cross-functional teams.
Strong stakeholder management and client-facing experience.
Ability to build data-driven strategies and identify business growth opportunities.
Strong team player with excellent communication and presentation skills.
Good to Have
Working knowledge of LLMs / Generative AI and NLP.
Experience with Treasure Data CDP.
Experience in Marketing / Customer Analytics.
Automotive domain experience.
Location:
India - Maharashtra- Pune - Baner - Amar Madhuban Tech Park