Data scientist| 3-5 Years| Bangalore

Role:

Location:

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IMMEDIATE JOINERS REQUIRED

Send your updated CV directly to: 9152808909

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Role and Responsibilities

We are seeking a data scientist to join our Data Analytics team to help us make better business decisions based on our data. The ideal candidate will have a working knowledge of statistics, AL / ML algorithms, mathematics, and data science programming languages (e.g., SQL, R, and Python). Your primary responsibilities will be performing statistical analyses, exploratory data analysis, data research, study the data thoroughly, running custom SQL queries, and identifying patterns and trends that can improve our products and services efficiency and usability. Should be able to work as an individual contributor and provide robust insights, analysis and analytical reporting to interpret results and inform key business areas on trends and business insights. Maintain good relationship with stakeholders. Should be proactive to learn new skills per business requirement. Familiar with extraction of relevant data, cleanse and transform data into insights that drive business value, through use of data analytics, data visualization and data modeling techniques.

Qualifications and Education Requirements

Technical Bachelors Degree. Preferably in statistics, computer science, mathematics, or engineering.

Preferred Skills

Should have EXCELLENT knowledge on:

• Statistical analysis

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• Descriptive and Inferential Statistics: Hypothesis testing, AB testing, Time series analysis.

• Machine Learning and Deep Learning:

• Theoretical and hands on experience in building ML and/or DL models to solve one or more of the following problems: Regression, Classification, Clustering, Recommender Systems on one or more data formats tabular, image, natural language, audio etc.
• Optimize training and inference workflows enhancing model, performance, efficiency and speed.
• Proficiency in MLOps practices, including model deployment, monitoring, Implementing and maintaining CI/CD pipelines for ML models, ensuring smooth integration with engineering workflows.

• Programming

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• Strong Object-Oriented Python programming.
• Write, optimize, and manage complex SQL queries to extract, transform, and load data from various relational databases.
• Extensive experience with DS libraries like: numpy, pandas, scikit-learn, matplotlib, tensorflow/Pytorch.

• Cloud & Data Platforms

• Proficiency in building data science solutions leveraging cloud platforms (AWS, GCP, Azure) and associated services, including Sagemaker, Vertex AI, Azure Machine Learning, Databricks, and cloud storage solutions like S3, BigQuery, and Azure Blob Storage.

• Collaborative Problem Solving:

  Partner with cross-functional teams to identify business challenges and define data-driven solutions.

• Data storytelling

  : Communicate actionable insights using data, often for a non-technical audience.
• Analytical Thinking, Critical Thinking, and Business Acumen.
• Perform data mining, exploration, and analysis.
• Ability to store and process unstructured data with NoSQL databases and machine learning models
• Advanced knowledge of SQL and Excel.
• Strong Data Visualization skills preferably MS PowerBI.
• Keeping up to date with the latest tools and trends.
• Excellent verbal and written Communication skills

Work Experience

• 3-5+ years of relevant experience in data science.
• It is good to have domain knowledge in the Insurance industry.

Additional Notes

• Should be ready to work in shifts.