Full-time data science analytics Jobs, Vacancies,… - Jobeax
31 Full-time data science analytics jobs in Pune, India.
Search current Full-time data science analytics jobs, vacancies, and employment in Pune, India on Jobeax. 31 Full-time data science analytics jobs in Pune, India.
... libraries and frameworks like numpy, pandas, pyspark, matplotlib, Flask, FastAPI, TensorFlow, PyTorch, scikit-learn. - Strong skills in software engineering, data processing, analytics and data visualization libraries - Proficiency in data structures, algorithms, building and maintaining data pipelines. - Experience with ...
... and development Data quality validation and monitoring Schema design for analytics and reporting Performance optimization and scalability Preferred Experience Databricks Delta Lake experience Azure Synapse Analytics Python for data engineering Spark SQL optimization Real-time data streaming Data governance and metadata management ...
... etc). Create visualizations to help us deeply understand what our networks learn and why. Very comfortable writing Python. Atleast 3-6 years of experience in Data Science Strong data structures, algorithms, and engineering mathematics background. Familiar with PyTorch and training deep neural networks is preferred but not ...
Company Description Circadian Communication & Analytics is a specialized agency focused on Behavioral Economics, Data Science, and innovative AdTech solutions for the healthcare industry. The company's mission is to elevate healthcare organizations through services in practice management, health marketing, innovation, business ...
... requirements are consistently achieved. Develop and implement database monitoring and observability solutions using Azure Monitor and Log Analytics. Automate database administration tasks using PowerShell, T-SQL, ARM Templates, Bicep, and Terraform. Build and maintain Azure DevOps CI/CD pipelines for database deployment ...
... Basis & Input Verification Review the Design Basis Report for every submission — geometry, materials, exposure and durability provisions, soil and foundation data, and functional requirements — against tender specifications. ~ Verify loading assumptions and load combinations: dead, imposed, wind (IS 875 Parts 1–5), seismic ...
... segments, and you help shape the product itself with ideas for new audience capabilities. You will partner closely with ML Engineers and the US product and analytics team. Build statistical and ML models to create, expand, and score audience segments from survey, panel, purchase, and media-exposure data Lead data fusion ...
... Expertise in Azure Data Factory for ETL pipeline development 4. In-depth knowledge of Azure Data Lake Storage Gen2 (ADLS Gen2) 5. Experience with CosmosDB for data modeling and integration 6. Strong skills in Python for data engineering tasks 7. Proficiency in Databricks and Stream Analytics 8. Experience with Event Hub ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Apache Spark, ...
... airports, infrastructure and border checkpoints. It brings all security operation information together onto a single, integrated and secure platform to achieve 100% data inspection of all cases. Using insights produced through machine learning, artificial intelligence (AI) and data science, our platform enables people to make ...
... Engineer Experience ~ Hands-on experience in developing and successfully deploying production-level AI applications Qualification Bachelor's degree in Computer Science Bachelor's degree in Data Science Bachelor's degree in AI/ML Bachelor's degree in a related technical field Responsibilities Design, develop, and implement ...
... in regulated industries (Pharma, Life Sciences, Banking). Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s) Enable high-quality, compliant data for analytics, ML, and GenAI workloads ...
... Marketing Consultant. The key responsibilities include developing and executing marketing strategies, implementing digital marketing campaigns, analyzing web analytics to measure and enhance campaign performance, and collaborating with sales teams to drive business growth. The role requires proactive planning, creative problem-solving, ...
... deployment and support. Adept at working in Agile environments and collaborating with cross-functional teams. Brings strong expertise in cloud platforms, big data technologies, and data integration tools, with a keen interest in the healthcare domain and emerging AI accelerators. Role: Senior Data Engineer Location: All ...
A Senior Data Engineer designs and leads the implementation of data flows to connect operational systems, data for analytics and business intelligence (BI) systems. Monitors data platforms activity, code and resource usage onsite or in the cloud. Contributes to the setting of standards for data and BI platforms and ensures ...
... deliver scalable digital solutions. Key Responsibilities: Drive digital transformation strategy for manufacturing plants, focusing on process digitization, analytics, and smart factory initiatives. Identify digital use cases across functions , shop floor, supply chain, quality, maintenance , and implement scalable solutions ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : AWS Glue ...
... and optimizations within the data platform architecture. Must To Have Skills: Proficiency in Data Engineering, Python (Programming Language), Data Wrangling, Data Mining. Experience with Python (Programming Language), Data Wrangling, Data Mining. Strong understanding of data integration techniques and data modeling concepts. ...
... generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Microsoft Azure Databricks, Microsoft Azure Analytics Services, ...
... relocation within country Remote Type: This position is a hybrid of office/remote working Agility core practices, Business modelling, Creativity and Innovation, Data Analysis, Data design, Digital Analytics, Emerging technology monitoring, Information Assurance, Integration, IT Management, IT strategy and planning, Network ...