Data Scientist

1 week ago

Bengaluru, Karnataka, India Fractal Analytics Private Limited Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Senior Data Scientist / Data Scientist (AI/ML)

It's fun to work in a company where people truly BELIEVE in what they are doing

We're committed to bringing passion and customer focus to the business.

About the Role

We are looking for a highly motivated and skilled Senior Data Scientist or Data Scientist to join our team.

The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, with hands-on experience in Python and industry-standard libraries.

You will be responsible for deriving actionable insights, building predictive models, and effectively communicating findings through data storytelling.

Key Responsibilities


• Develop, implement, and optimize machine learning models for predictive analytics and decision-making.


• Work with structured and unstructured data to extract meaningful insights and patterns.


• Utilize Python and standard data science libraries such as NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, and Matplotlib for data analysis and model building.


• Design and develop data pipelines for efficient processing and analysis.


• Conduct exploratory data analysis (EDA) to identify trends and anomalies.


• Collaborate with cross-functional teams to integrate data-driven solutions into business strategies.


• Use data visualization and storytelling techniques to communicate complex findings to non-technical stakeholders.


• Stay updated with the latest advancements in machine learning and AI technologies. Required Qualifications


• 5+ years or 8+ years of hands-on experience in data science and machine learning.


• Strong proficiency in Python and relevant data science packages.


• Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch.


• Knowledge of SQL and database management for data extraction and manipulation.


• Expertise in statistical analysis, hypothesis testing, and feature engineering.


• Understanding of Marketing Mix Modeling is a plus.


• Experience in data visualization tools such as Matplotlib, Seaborn, or Plotly package


• Strong problem-solving skills and ability to work with large datasets.


• Excellent communication skills with a knack for storytelling using data.

Preferred Qualifications


• Experience with cloud platforms such as AWS, Azure, or GCP.


• Knowledge of big data technologies like Hadoop, Spark, or Databricks.


• Exposure to NLP, computer vision, or deep learning techniques.


• Understanding of A/B testing and experimental design.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us

Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest

Experience LevelSenior Level

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