We are seeking a highly skilled

Data Scientist to join our growing team. The ideal candidate will have a strong background in statistics, machine learning, and data analytics, with the ability to transform complex data into actionable business insights. You will work closely with cross-functional teams to build predictive models, optimize business processes, and support data-driven decision-making.

Key Responsibilities

- Collect, clean, and analyze structured and unstructured data from multiple sources.

- Develop and deploy machine learning models for prediction, classification, and optimization.

- Perform statistical analysis to identify trends, patterns, and business opportunities.

- Design and maintain dashboards and reports to communicate insights effectively.

- Collaborate with engineering and business teams to implement data-driven solutions.

- Build and maintain data pipelines and support data quality initiatives.

- Present findings and recommendations to technical and non-technical stakeholders.

- Stay up to date with emerging technologies and best practices in data science and AI.

Required Skills & Experience

- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

- 3+ years of experience in Data Science, Machine Learning,



or Advanced Analytics.

- Strong programming skills in Python or R.

- Experience with SQL and relational databases.

- Hands-on experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.

- Experience with data visualization tools such as Power BI, Tableau, or Matplotlib.

- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.

- Robust analytical, problem-solving, and communication skills.

- Experience working with large datasets and data engineering concepts is an advantage.

Preferred Qualifications

- Experience with MLOps, model deployment, and monitoring.

- Familiarity with big data technologies such as Spark or Hadoop.

- Experience in NLP, Generative AI, or Computer Vision is desirable.

- Preference will be given to candidates with experience working with CRM systems (such as Salesforce, Microsoft Dynamics 365, HubSpot, Zoho CRM, or similar), including analyzing CRM data, customer segmentation, customer journey analytics, sales forecasting, and developing customer insights to support business decision-making.

- Experience in customer analytics, marketing analytics, or customer lifecycle modeling is highly desirable.

📌 Data Scientist (India)
🏢 Dipole Group
📍 India