8101 Data Scientist Jobs - Page 5

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What Youll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical Skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, an...

ANALYTICS ASSOCIATE (Data Scientist) Position Summary Responsible for designing, developing, and implementing advanced AI/ML models to solve business problems related to Revenue Cycle operations for US based healthcare Systems. Experience 3-5 years of relevant experience building AI/ML models and rich experience in python, R and SAS, NLP experience is preferred Reports To Director- Analytics Qualification Holds degree in Computer Science, Math or other Science, Preferred-Master's Degree Roles & Responsibilities Must Have Gathering and prioritize opportunities to leverage AI and predictive modeling working with Product Management Strong understanding of business problems from domain experts a...

The Data Scientist will work with the Product and Data teams to clean, organize, and analyze large volumes of data and produce innovative models, datasets, and visualizations that address our clients’ most pressing problems about the future of work. The successful candidate will have keen statistical thinking ability, be proficient in data visualization, large data set processing, and solid programming capabilities in Python, SQL, statistical or machine learning methods. The Data Scientist will contribute to projects under the guidance of more senior data scientists and make business/technology trade-off recommendations when appropriate. The Data Scientist will keep abreast of advancements i...

Job Summary: - Drive telecom data science projects from conception through deployment while leading a multidisciplinary team. Deliver high-quality data-driven solutions focused on telecom network analytics, customer churn, real-time monitoring, and service optimization. Key Responsibilities: - - Oversee development, validation, and deployment of data science models solving telecom-specific challenges such as churn, QoS, SINR, and Video on Demand analytics. - Lead data engineering efforts to build scalable data pipelines from telecom wireline/wireless network sources and real-time data streams. - Manage team priorities, resources, and timelines ensuring alignment with telecom business objecti...

Overview The Data Scientist designs, develops, and deploys predictive models and advanced analytics solutions to drive business insights and operational improvements. This role collaborates closely with data engineers, architects, and business stakeholders to translate requirements into actionable models and supports integration of AI/ML into BI platforms. Responsibilities Model Development & Delivery Build and iterate models for churn prediction, network performance, and other business-critical use cases. Conduct feature engineering, model training, validation, and deployment. Collaboration & Integration Work with data engineers and architects to ensure data readiness and seamless model int...

About the Role The BizOps team is the Ops owner for building scalable analytical products & processes while providing deep science & insighting to Ubers hardest problems while creating scalable value for Uber. This role is on the ground floor of a newly formed Business Operations team in APAC Central Operations with a goal of unlocking the best advanced analytics and insights, save thousands of hours via build for scale automation, #FindTheMoney via economic performance interventions and incubate + scale GenAI based tools in APAC. This role within the BizOps team will focus on enabling data-driven decision-making by ensuring the reliability and accessibility of organizational data and lies a...

MLOps Engineer AI/ML Ops | Bangalore We are looking for an AI/ML Ops Engineer with strong experience in DevOps, LLM frameworks, vector databases, and model deployment . The role involves building scalable ML pipelines, deploying models using PyTorch/TensorFlow , creating FastAPI services, and enabling LLM observability via LangFuse and LangChain . Candidates must have hands-on expertise in GitHub Actions, Docker, CI/CD , and production-grade ML systems. Role: ML Ops Engineer Skills: GitHub, DevOps, AI Frameworks, Vector DB, LangFuse, LangChain, PyTorch, TensorFlow, FastAPI Key Responsibilities Build and manage AI/ML infrastructure for model training, deployment, and monitoring. Develop CI/CD...

Senior Data Scientist with 3-5 years of hands-on industry experience in machine learning (ML) and natural language processing (NLP). In this role, you will help design, develop, and maintain document intelligence platforms that power multiple product streams across the organization. As a Senior Data Scientist, you will collaborate closely with data engineers, domain experts, and fellow data scientists to unlock large-scale data capabilities. You will work with both structured and unstructured clinical datasets, applying advanced algorithms and state-of-the-art modeling techniques to build, optimize, and deploy scalable ML/NLP solutions in production environments. Your contributions will dire...

MLOps Engineer AI/ML Ops | Bangalore We are looking for an AI/ML Ops Engineer with strong experience in DevOps, LLM frameworks, vector databases, and model deployment . The role involves building scalable ML pipelines, deploying models using PyTorch/TensorFlow , creating FastAPI services, and enabling LLM observability via LangFuse and LangChain . Candidates must have hands-on expertise in GitHub Actions, Docker, CI/CD , and production-grade ML systems. Role: ML Ops Engineer Skills: GitHub, DevOps, AI Frameworks, Vector DB, LangFuse, LangChain, PyTorch, TensorFlow, FastAPI Key Responsibilities Build and manage AI/ML infrastructure for model training, deployment, and monitoring. Develop CI/CD...

Company Description Fuzen IT Solutions is a global company specializing in the application of advanced machine learning and artificial intelligence to drive transformative business outcomes. With client presence across Europe, the UK, and the USA, Fuzen IT partners with businesses through its team of expert data scientists and consultants. In 2018, the company expanded its operations by establishing a state-of-the-art facility in India, located in Hyderabad, which serves as a scalable delivery hub for global clients. This facility focuses on data science, artificial intelligence, statistics, and machine learning, while also offering corporate training for aspiring data science professionals....

Role & responsibilities work experience in developing and implementing AI, Machine Learning Models- experience of deployment in Azure is preferred Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics. Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Minimum 4 years of experience in working with NLG, LLM, DL Techniques Relevant understanding of Deep Learning and neural network techniques Expertise in implementing applications using open source and proprietary LLM models Proficient in using Langchain-type orchestrators or similar Generative AI w...

Hiring Data Science & Analytics Trainer skilled in Python, SQL, Power BI, Excel, ML fundamentals, statistics, and real-time project mentoring. Strong communication + hands-on training experience required.

4-5 years of hands-on experience in machine learning or data science roles. Proficient in Python and ML/DL libraries: scikit-learn, pandas, PyTorch, TensorFlow. Strong knowledge of traditional ML and deep learning, sequence and NLP tasks.

We are actively searching for a talented and experienced Machine Learning (ML) Engineer to join our team As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products. Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating existing systems. You should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of A...

As a Data Scientist and Shiny developer, you will take a leading role in developing, implementing, and applying advanced statistical analysis, machine learning, and data visualization techniques for clinical trial analysis. You will participate in a variety of software development activities for Shiny-based data products. This will include but will not be limited to design, development, testing, and documentation, using R and Shiny along with other web application tools and technologies. Desired Skills & Experience : 2- 4 years of professional work experience developing and deploying Shiny web applications Advanced programming skills in R (including experience with the tidy verse suite of pa...

Required Skills & Experience 3+ years of hands-on experience in ML/AI development, including LLMs and generative models. Strong programming expertise in Python and PySpark , with experience in scalable data pipelines. Hands-on experience with LangChain, LlamaIndex, LangGraph or equivalent frameworks. Solid understanding of ML model deployment and serving platforms (e.g., SageMaker, Bedrock, TorchServe, BentoML, KFServing). Proficiency in containerization and orchestration tools (Docker, Kubernetes). Practical expertise in prompt engineering and RAG pipelines (embedding models, chunking, retrieval strategies, caching). Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus)...

Purpose of the Job We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have 2–3 years of hands-on experience as a data scientist in a business environment, supporting multiple departments and functions with predictive analytics and rapid development of minimal viable products (MVPs). A strong emphasis is placed on experience with pricing engines and sales forecasting solutions. You will be responsible for analyzing large datasets, building predictive models, and enabling data-driven decision-making across the organization. Key Responsibilities: Collect, clean, and preprocess structured and unstructured data from diverse sources. Develop, im...

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our te...

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. What You’ll Do (Responsibilities) Lead end‑to‑end data science projects from scoping through deployment and monitoring—covering telemetry‑based predictive models, LLM agents, and optimization of existing ML solutions. Translate ...

Position Overview: Here at ShyftLabs, we are looking for an experienced Data Scientist who can derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data-driven insight and scientific solution. ShyftLabs is a growing data product company that was founded in early 2020, and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation. Job Responsibilities: Data Analysis and Research: Analyzing a large dataset with queries and scripts, extracting valuable signals out of noise, and...

Role: Data Scientist Location: Koramangala, Bangalore Experience: Proven hands-on experience in data science and Machine Learning Type: Full-time What Youll Do: Build and deploy cutting-edge machine learning and predictive models to solve real-world logistics challenges. Develop best practices for ML pipelines , MLOps and continuous model improvement Collaborate closely with Product and Engineering teams to translate business requirements into scalable ML solutions. Create powerful visualizations and dashboards to make insights accessible to business stakeholders. What You Bring: Proven experience of 2+ years in Data Science / Machine Learning Engineering roles Deep understanding of the ML l...

Responsibilities: Architect and lead the development of AI models that integrate multimodal data (text + image) for product classification, attribute extraction, and vision-text consistency validation. Design and evolve taxonomy intelligence frameworks , including canonical entity graphs, category hierarchies, and attribute contracts for retail product data. Build and optimize CLIP-style embedding models to assess image-category similarity and detect mismatches between product visuals and descriptions. Design scalable LLM-based pipelines for zero/few-shot classification, brand normalization, and policy enforcement across diverse product types. Lead the creation of graph-based reasoning syste...

Primary Skills: (Must hands on expereince): • Generative AI Expertise: 2-3 years of experience in designing and implementing generative AI solutions, including knowledge of various generative and autoregressive models. Ability to apply generative AI techniques to diverse use cases such as image generation, text generation, and creative content synthesis. • 2 years if experience in prompt engineering, fine tuning, agentic framework, GenAI SDKs • Azure Proficiency: 3-5 years of experience with Azure cloud services relevant to AI, including Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Kubernetes Service (AKS). 2+ years of experience in Azure's capabilities to ar...

Design, develop, and maintain data processing pipelines using Python, SQL, and PySpark. Perform data cleaning, feature engineering, and exploratory data analysis (EDA). Build, train, and evaluate machine learning models using scikit-learn, XGBoost, or similar frameworks. Develop REST APIs using Flask/FastAPI to integrate ML models with applications. Work with cloud platforms such as AWS/Azure/GCP for data ingestion, storage, and deployment. Write highly optimized Python code for data transformations and automation. Implement data validation, quality checks, and performance tuning of datasets. Collaborate with data engineers, analysts, and product teams to translate business requirements into...

Data Scientist Position Overview We are seeking an experienced Data Scientist to join our team. In this role, you will manage the entire data science lifecycle, including data acquisition, preparation, model development, deployment, and monitoring. You will apply advanced techniques in Python programming, machine learning (ML), deep learning (DL), and generative AI to address complex challenges and develop high-impact solutions. Your role will involve leading projects, collaborating with cross-functional teams, and driving data-driven decision-making across the organization. Responsibilities Advanced Model Development: Design, develop, and implement sophisticated machine learning and deep le...