Data Scientist Python | Machine Learning | SQL | AI

Company: Spark Techwave InnovationZ Pvt Ltd
Job Type: Full-Time
Experience: 2–6 Years
Location: Chennai / Remote / Hybrid
Department: Data Science & AI

Job Summary

Spark Techwave InnovationZ Pvt Ltd is looking for a talented Data Scientist to analyze complex datasets, develop machine learning models, and deliver data-driven solutions to business and technical problems.

The ideal candidate should have strong hands-on experience with Python, SQL, statistics, machine learning, data analysis, and model development. Experience with deep learning, NLP, cloud platforms, or MLOps will be an added advantage.

Key Responsibilities

- Collect, clean, transform, and analyze structured and unstructured data.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Develop statistical and machine learning models to solve business problems.
- Select appropriate algorithms and evaluate model performance.
- Perform feature engineering and feature selection.
- Train, validate, test, and optimize machine learning models.
- Develop predictive and classification models.
- Work with large and complex datasets from multiple sources.
- Create meaningful visualizations and communicate analytical findings.
- Collaborate with Data Engineers, Software Engineers, Business Analysts, and other stakeholders.
- Translate business requirements into data science solutions.
- Perform model validation and monitor model performance.
- Document analytical methodologies, experiments, and model results.
- Support deployment of machine learning models into production environments.




- Continuously research and evaluate current machine learning and AI techniques.

Required Skills

Programming

- Strong proficiency in Python.
- Good knowledge of Python libraries such as:

- Pandas
- NumPy
- Scikit-learn
- Matplotlib
- Seaborn

Statistics & Mathematics

- Strong understanding of:

- Descriptive statistics
- Probability
- Hypothesis testing
- Correlation and regression
- Statistical distributions
- Sampling
- A/B testing

Machine Learning

Hands-on experience with algorithms such as:

- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forest
- Gradient Boosting
- XGBoost
- K-Means
- Clustering
- Classification
- Regression
- Dimensionality Reduction

SQL & Databases

- Strong SQL skills.
- Experience querying relational databases.
- Understanding of data extraction and transformation.
- Knowledge of MySQL, PostgreSQL, SQL Server, Oracle, or similar databases.

Data Visualization

Experience with one or more:

- Power BI
- Tableau
- Matplotlib
- Seaborn
- Plotly

Ability to communicate data-driven insights clearly to technical and non-technical stakeholders.

Good to Have

Experience with:

- Deep Learning
- TensorFlow
- PyTorch
- NLP
- Computer Vision
- Generative AI
- Large Language Models (LLMs)
- RAG
- AI Agents
- Time Series Forecasting




- Recommendation Systems

Cloud & MLOps – Good to Have

Knowledge of one or more:

- AWS
- Microsoft Azure
- Google Cloud Platform
- Docker
- MLflow
- Kubernetes
- CI/CD
- Model deployment
- Model monitoring

Key Responsibilities in Model Deployment

- Package machine learning models for deployment.
- Develop APIs for model inference.
- Collaborate with engineering teams to integrate models into applications.
- Monitor model performance and data quality.
- Support model retraining and optimization when required.

Education

Bachelor's or Master's degree in:

- Computer Science
- Data Science
- Statistics
- Mathematics
- Artificial Intelligence
- Information Technology
- Engineering
- Or a related quantitative field.

Experience

2–6 years of relevant experience in Data Science, Machine Learning, Predictive Analytics, or a related field.

Preferred Candidate Profile

Candidates with hands-on experience in:

- Python
- SQL
- Statistics
- Machine Learning
- Exploratory Data Analysis
- Feature Engineering
- Model Development
- Model Evaluation
- Data Visualization
- Predictive Analytics

Experience with Deep Learning, NLP, Generative AI, Cloud, or MLOps will be an advantage.

Key Skills for Naukri

Data Scientist, Data Science, Python, Machine Learning, SQL, Statistics, Pandas, NumPy, Scikit-learn, EDA, Predictive Analytics, Feature Engineering, Regression, Classification, NLP, Deep Learning, TensorFlow, PyTorch, Power BI, Tableau, Generative AI, AI, AWS, Azure, MLflow

Interested candidates can apply with their updated resume at [email protected]

📌 Data Scientist (India)
🏢 Spark Tech Wave Innovation
📍 India