Data Scientist

Nu10; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Nu10 is seeking a highly motivated Data Scientist in Bengaluru, India. The role requires 3-5 years of experience in data science and machine learning. Responsibilities include developing predictive models, analyzing data for insights, and collaborating with teams to implement solutions. Candidates should have a Bachelor’s or Master’s in a relevant field and strong skills in Python or R, AWS, and machine learning frameworks. The position offers an opportunity to work on innovative cloud-based analytics solutions.

Qualifications

• 3-5 years of hands-on experience in data science, machine learning, and analytics.
• Strong knowledge of machine learning frameworks such as Scikit-Learn, TensorFlow, or PyTorch.
• Experience working with cloud platforms like AWS (EC2, SageMaker), Azure, or GCP.

Responsibilities

• Develop and implement machine learning models for customer segmentation and demand forecasting.
• Analyze structured and unstructured data to generate actionable business insights.
• Collaborate with cross-functional teams to create data-driven solutions.

Skills

Data analysis with Python or R

Machine learning frameworks (Scikit-Learn, TensorFlow, PyTorch)

Cloud platforms (AWS, Azure, GCP)

SQL and relational databases

Data visualization (Tableau, Power BI, Matplotlib)

Problem-solving

Communication and collaboration

Education

Bachelor's or Master’s degree in Computer Science, Data Science, Mathematics, Statistics

Tools

AWS

Spark

Databricks

Hadoop

Tableau

Power BI

Matplotlib

Job description

We are looking for a highly motivated and skilled Data Scientist with 3-5 years of experience in data science, analytics, and machine learning. The ideal candidate will have hands‑on experience in building models, working with large datasets, and deploying data-driven solutions to solve business problems.

Key Responsibilities:

• Develop and implement machine learning models for customer segmentation, profiling, and demand forecasting.
• Analyze structured and unstructured data to generate actionable business insights.
• Work with large-scale datasets, perform data cleaning, and apply feature engineering techniques.
• Design, develop, and deploy predictive analytics solutions using cloud-based platforms like AWS.
• Collaborate with cross‑functional teams, including data engineers, product managers, and business stakeholders, to translate business needs into data‑driven solutions.
• Utilize statistical analysis, data visualization, and A/B testing techniques to support decision‑making.
• Optimize and fine‑tune ML models for scalability and performance.

Required Skills and Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
• 3-5 years of hands‑on experience in data science, machine learning, and analytics.
• Proficiency in Python or R for data analysis and model building.
• Strong knowledge of machine learning frameworks such as Scikit-Learn, TensorFlow, or PyTorch.
• Experience working with cloud platforms like AWS (EC2, SageMaker), Azure, or GCP.
• Expertise in SQL and working with relational databases like MySQL, PostgreSQL, etc.
• Familiarity with big data technologies such as Spark, Databricks, and Hadoop is a plus.
• Experience in data visualization tools like Tableau, Power BI, or Matplotlib.
• Strong problem‑solving skills and the ability to translate business problems into analytical solutions.
• Excellent communication and collaboration skills.

Nice to Have:

• Experience with NLP, time-series forecasting, and deep learning techniques.
• Exposure to MLOps practices for deploying and maintaining ML models in production.
• Familiarity with CI/CD pipelines for ML model deployment.