Data Scientist (Python, ML, SQL) in India, India is listed on Jobeax. Browse 30,000+ vacancies available.
Position Overview We are looking for a skilled and driven Data Scientist with 5-7 years of experience in data Key Responsibilities Analyze large and complex datasets to uncover meaningful patterns, trends, and insights. Build, deploy, and validate predictive models, leveraging machine learning techniques and deep learning frameworks. Develop and implement Generative AI models to solve business challenges. Perform data preprocessing, exploratory data analysis (EDA), and feature engineering (FE) to prepare data for modeling and optimization. Write efficient and scalable code in Python, R, and SQL to manage and manipulate data. Collaborate with cross-functional teams to generate actionable insights that support business decision-making. Create clear and impactful data visualizations to communicate findings to both technical and non-technical stakeholders. Continuously monitor and improve model performance using optimization techniques. Stay up-to-date with advancements in data science, machine learning, and AI technologies. Required Skills And Qualifications Experience: 5-7 years of hands-on experience in data analysis, predictive modeling, and advanced analytics. Technical Proficiency Strong programming skills in Python, R, and SQL. In-depth knowledge of machine learning techniques, deep learning frameworks, and Generative AI. ~ Proficiency in data handling, pre-processing, exploratory data analysis (EDA),
feature engineering (FE), and optimization techniques. Analytical Skills Strong problem-solving abilities and attention to detail. Capability to derive actionable insights and present findings in a business friendly manner. Skills: optimization techniques,generative ai,sql,machine learning,gen ai,data preprocessing,feature engineering (fe),python,deep learning,exploratory data analysis (eda),r
... large, multi-source enterprise datasets. - Strong programming proficiency in Python, SQL, and data-modeling techniques for event data. - Experience in process data model design, development, and deployment, including creation of reusable data schemas and pipelines for process analytics. - Experience integrating ML models ...
... hands-on professional experience Education: BE/B.Tech/ME/M.Tech/MCA/MSc IT Primary Skills (must have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving ...
... standards, and best practices. Present findings, recommendations, and AI roadmaps to leadership teams. Provide technical guidance and mentoring to junior data scientists and analysts. Collaborate with global teams and external partners to deliver data-driven solutions. Advanced knowledge of Python, SQL, and modern data science ...
... curation, feature engineering, model training, model tuning, and offline & online experimentation Strong programming skills with minimum 3-6 years of experience in Python Experience working with databases and expert knowledge of SQL Proficiency in statistical ML algorithms and statistics analysis methods Good knowledge of machine ...
... Storytelling- translate technical findings into clear, actionable recommendations for non-technical stakeholders, including senior leadership. 3-4 years of experience in data science, analytics, or a related quantitative role, ideally handling large, real-world datasets. - Strong hands-on skills in Python and SQL, with solid fundamentals ...
... will be a plus Track record in managing deliveries of advanced analytical solutions in an agile & iterative model. - Expertise in tools required to execute a data science project - SQL, Python, R, ML algorithms - Expertise in using Cloud solutions(AWS, Azure, etc.) for deploying data science projects - Synthesizing findings ...
... defend the call with the data. Who You Are: - 2 to 5 years in data science or applied ML with a focus on product analytics, growth, or user behaviour - Strong SQL and real comfort working with large, event-level behavioural data at scale - Solid classical ML foundations — clustering (k-means, HDBSCAN, hierarchical), embeddings ...
DATA SCIENTIST - TIME SERIES FORECASTINGAre you a Data Scientist who loves turning historical data into accurate predictions and actionable business insights?Were looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that ...
... Proficiency in Python, Pandas, NumPy, Scikit-learn, with experience using libraries such as XGBoost, LightGBM, CatBoost, and Statsmodels. Experience working with large datasets and data pipelines, including data preprocessing, data quality checks, transformation, aggregation, and feature generation using tools such as SQL, Spark/PySpark, ...
Experience : 7+ years of experience in Data Engineering, Data Quality, or Data Governance. 3+ years of experience working on AWS Data Platforms. Strong hands-on expertise in: - Python - SQL - Data Quality Engineering - Data Profiling - Data Validation Frameworks - Experience building AI-powered data quality and governance ...
... field (Mathematics, Statistics, Econometrics, Computer Science, Physics, or Operations Research). Experience: 4 to 6 years of industry experience working as a Data Scientist or Machine Learning Engineer with a portfolio of complex multimodal projects. Honeywell Technologies is a global, pure-play automation company with ...
... mapping, water stress, and biodiversity metrics. - Build Python-based EO pipelines for large-scale agricultural monitoring (raster processing, zonal statistics, ML classification, time-series modeling). - Integrate outputs with downstream systems (dashboards, APIs, ML models) to support digital agronomy and sustainability ...
... workflows, and structured output pipelines for LLM applications. Fine-tune, evaluate, and optimize LLM-powered applications for accuracy, latency, and cost. Implement data preprocessing, feature engineering, and ML model training workflows. Work with structured and unstructured datasets to solve business problems. Collaborate with ...
... scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field - 3–8 years of relevant experience Skills: data scientist,genai,python,sql,pyspark,aiml,ml
... in data science. Required qualifications : - Bachelor's or Master's degree in Data Science, Computer Science, or a related field. - 3-5 years of experience in data science or a related discipline. - Proficiency in generative AI and large language models. - Strong programming skills in languages such as Python or R. - Experience ...
... trees, ensemble methods, deep learning, neural networks, causal analysis). Practical experience in the full machine learning lifecycle from problem formulation, data acquisition, data cleaning to model building and deployment at enterprise https://jobeax.com/link/AsTDTp6i8kJTEE83 in Python or R, ML frameworks (PyTorch, TensorFlow, ...
... from building new infrastructure and services through to customer facing web and native mobile applications. We are hiring passionate AI Software Engineers (Data Scientists) with experience in Python Programming Language, Machine Learning and Generative AI to join our technology team. As a key member, you will play a crucial ...
Job Summary We are seeking an experienced Demand Forecasting Data Scientist with strong expertise in time series forecasting, machine learning, and supply chain analytics . The ideal candidate will have hands-on experience working with Databricks and Python , a deep understanding of demand planning use cases, and the ability ...
Role Overview The Lead Data Scientist is a senior technical role combining deep expertise in statistics, mathematics and data preparation with strong capability in machine learning and hands-on programming. The role leads complex analyses, develops scalable solutions and ensures work is rigorous, reproducible and aligned ...
... model monitoring approaches - Strong understanding of data engineering and model integration patterns, including working with SQL, batch pipelines, streaming data, APIs, and application services - Familiarity with observability and operational tooling such as Azure Monitor, Application Insights, MLflow tracking, Datadog, ...