Senior Data Scientist / Data Scientist (AI/ML)

Bengaluru, India

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Fractal

Fractal is a strategic analytics partner to global Fortune 500 companies & powers every human decision in the enterprise with AI, engineering & design.

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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!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: A/B testing AWS Azure Big Data Computer Vision Data analysis Databricks Data pipelines Data visualization Deep Learning EDA Engineering Feature engineering GCP Hadoop Keras Machine Learning Matplotlib ML models NLP NumPy Pandas Pipelines Plotly Python PyTorch Scikit-learn SciPy Seaborn Spark SQL Statistics TensorFlow Testing Unstructured data

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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