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Data Scientist Description<ul><li>Practical knowledge and working experience on Statistics and Operation Research methods.</li><li>Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.</li><li>Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.</li><li>Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.</li><li>Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.</li><li>Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS</li></ul> Experience: 5+ Years

Colan Infotech Pvt Ltd

Data Scientist

Data & Analytics AVP We are seeking individuals proficient in SQL, SAP HANA Cloud, and API integration, with a strong foundation in data engineering and the development of scalable AI-driven applications.An added advantage would be familiarity with Agile methodologies.Experience: 7–15 years Share your resume now.

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System Analyst

Alteryx Certified Engineer We are looking for talented Alteryx Certified Engineer who are passionate about automation and data transformation. This role offers the opportunity to design and build Alteryx solutions that replace manual, Excel-based processes (EUCs), driving efficiency and accuracy across critical business operations. Experience: 5+ Years Key Responsibilities<ul><li>Collaborate with BAU SMEs to understand EUC requirements.</li><li>Design, document, and develop Alteryx workflows to automate manual processes.</li><li>Build scalable Alteryx solutions that enhance efficiency and reduce risk.</li><li>Support testing, troubleshooting, and deployment of workflows.</li><li>Ensure compliance with organizational standards and best practices.</li></ul> What We’re Looking For<ul><li> Alteryx Certification (required)</li><li> Proven expertise in Alteryx workflow design &amp; development.</li><li> Strong problem-solving and analytical skills.</li><li> Ability to engage with SMEs and translate requirements into solutions.</li><li> Experience in automation of manual/Excel-based processes (EUCs).</li></ul> How to Apply: Please send your resume. Subject line: Resume for Alteryx Certified Engineer Also mention: Current Location, CTC, ECTC, and Notice Period in your application.

Ernst & Young LLP ( EY India )

Testing Engineer

Big Data Developer Job specification:&nbsp;We are looking for a Big Data Developer to join our team in Bangalore and Chennai<h5> </h5>Job DescriptionAbout Neostats Analytics: NeoStats is a new-age, Data &amp; Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data &amp; Analytics Services, we are headquartered out of UAE, with bases in India &amp; UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach About the JobWe are looking for a Big Data Developer to join our team in Bangalore and Chennai. The ideal candidate should have a 5+ years of experience in the industry with experience in SQL, basic Unix command, Hive, and Hadoop environment. You will be responsible for developing and maintaining data pipelines using ETL processes, working closely with the data science team to implement data analytics pipelines, and analyzing vast amounts of data stores to uncover insights. You will also be responsible for defining data governance policies and supporting data-versioning process&nbsp;Responsibilities<ul><li>Develop and maintain data pipelines using ETL processes</li><li>Take responsibility for Apache Hadoop development and implementation</li><li>Work closely with data science team to implement data analytics pipelines</li><li>Help define data governance policies and support data-versioning processes</li><li>Maintain security and data privacy, working closely with data protection officer</li><li>Analyze vast number of data stores to uncover insights</li><li>Collaborate with cross-functional teams to analyze and visualize data</li><li>Develop and maintain data modeling techniques</li><li>Design, implement, and maintain scalable data infrastructure</li><li>Build and maintain data quality dashboards and reports</li><li>Optimize and tune Hadoop environments</li></ul> Requirements:<ul><li>5+ years of experience in the industry.</li><li>Banking Experience is mandatory.</li><li>Experience with SQL, basic Unix command, Hive, and Hadoop environment.</li><li>Experience with Python, Spark, and Hive.</li><li>Understanding of Data Warehousing and Data-Modeling techniques.</li><li>Knowledge of industry-wide visualization and analytics tools (ex: Tableau, R).</li><li>Strong data engineering skills with Azure/AWS cloud platform.</li><li>Experience with streaming frameworks such as Kafka.</li><li>Knowledge of Linux, SQL, and any scripting language</li></ul>

Neostats Analytics Solutions Private Limited

Senior Analytics Consultant – GenAI <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/company/exl-service/\&quot;" target="_blank">EXL</a> Hiring for Senior Analytics Consultant – <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23genai&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">GenAI</a> (Hybrid) Join our dynamic team as a Senior GenAI Engineer and work on cutting-edge solutions that drive real business impact. What You'll Do:- Design and deploy GenAI applications: Agentic AI systems, LLM-powered tools, NLP pipelines, and chatbots.- Build scalable analytics workflows using <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23python&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">Python</a> and <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23sql&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">SQL</a>.- Collaborate across teams to identify high-impact AI use cases.- Fine-tune <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23llms&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">LLMs</a> and evaluate model performance.- Stay ahead with the latest <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23genai&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">GenAI</a> frameworks and tools. What We’re Looking For:- 4–8 years in Analytics / Data Science.- 2–3 years hands-on experience with <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23genai&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">GenAI</a> (<a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23llms&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">LLMs</a>, <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23nlp&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">NLP</a>, <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23chatbots&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">Chatbots</a>, <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23agenticai&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">AgenticAI</a>).- Strong Python and SQL skills.- Experience in <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23prompt&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">prompt</a> <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/search/results/all/?keywords=%23engineering&amp;origin=HASH_TAG_FROM_FEED\&quot;" target="_blank">engineering</a> and custom AI agent development. Bonus Skills:- PySpark, Machine Learning, Data Engineering.- Cloud platforms (AWS, Azure, GCP).- MLOps for GenAI solutions. If interested send your resume.

EXL Service

Senior Analyst

Big Data Developer Experience: 5-8 Years We are looking for a talented Big Data Developer to join our team. The ideal candidate will be responsible for hands-on development and technical delivery of innovative components used in data driven solutions within a cross-functional, agile development team. The candidate should have a sound working knowledge of Spark, Scala, NoSQL, Big Data SQL, Hadoop, SQL, and be self-motivated to drive through rapidly changing requirements typically found in innovative business units.Key Responsibilities• Work within a cross-functional, agile development team to deliver innovative data driven solutions.• Develop and implement Big Data components and solutions using Spark, Scala, and other Big Data technologies.• Ensure technical delivery of high-quality, efficient, and scalable solutions.• Adapt to rapidly changing requirements and drive through solutions independently. Requirements• 4+ Years of experience with BigQuery SQL.• Very strong in SQL.• Experience with GCP Cloud.• Experience with Scala and SPARK.• Candidates should be able to work independently.

Eximietas Design

Machine Learning Engineer Coforge is seeking a Machine Learning Engineer for positions in Greater Noida, Pune, and Hyderabad with an immediate to 10-day notice period. Key Requirements:- Experience: 4–8 years in machine learning engineering, encompassing end-to-end model development and deployment.- Programming Skills: Proficiency in Python, with knowledge of ML libraries like TensorFlow, PyTorch, and Scikit-learn.- Framework Expertise: Hands-on experience with MLOps tools such as Kubeflow, Metaflow, Ray, MLflow, or Azure ML.- Cloud Platforms: Strong understanding of AWS, Azure, and GCP for deploying ML workflows.- Containerization: Proficiency in Docker and Kubernetes for containerized model deployment.- Workflow Automation: Familiarity with orchestration tools like Apache Airflow or Prefect for automating pipelines.- Data Engineering: Understanding data preparation processes, including SQL and NoSQL databases.- Version Control: Experience in data and model versioning using tools like DVC or Git.- Monitoring Tools: Knowledge of monitoring frameworks such as Prometheus, Grafana, or ELK stack for pipeline observability.- Problem-Solving: Strong analytical and debugging skills to optimize workflows and troubleshoot production issues.- Collaboration Skills: Effective communication and teamwork abilities to collaborate with cross-functional teams. Interested individuals can forward their resumes.

Coforge

Data Annotation Engineer

AI-ML Lead Engineer This job might be for you if<ul><li>You enjoy solving problems. You love taking on difficult challenges and finding creative solutions.</li><li>You don’t know the answer but will dig until you find it.</li><li>You communicate clearly. You write well.</li><li>You are motivated and driven. You volunteer for new challenges without waiting to be asked. You will take ownership of the time you spend with us and make a difference.</li><li>You can impress our customers with your enthusiasm to solve their issues (and solve them!)</li></ul> Job DescriptionAs an AI/ML Engineer at Eximietas, you will be responsible for designing, implementing and managing strategic consulting projects that leverage Machine Learning, Deep Learning including Generative AI algorithms. You will work closely with clients to understand their business processes and requirements, conduct proof of concepts (POCs) and convert POCs to long term strategic engagements to deliver cutting-edge AI/ML solutions that drives business value. Responsibilities<ul><li>Collaborate with clients to understand their business processes, goals, and requirements.</li><li>Design and implement AI/ML solutions using state-of-the-art techniques and methodologies.</li><li>Conduct proof of concepts (POCs) and pilots to validate the feasibility and effectiveness of AI/ML solutions.</li><li>Work with cross-functional teams to map AI/ML solutions to client business processes.</li><li>Perform data analysis, data preprocessing, and feature engineering as needed.</li><li>Conduct hypothesis testing, feature extraction, feature selection, cross-validation.</li><li>Develop and deploy machine learning models in a production environment.</li><li>Apply Natural Language Processing (NLP) techniques such as topic modelling, entity extraction, summarization and sentiment analysis to relevant projects OR Design and implement projects that are tailored to Computer Vision tasks, such as Image Classification, Object detection, Image segmentation.</li><li>Communicate findings and insights effectively to both technical and non-technical stakeholders.</li><li>Ensure project deliverables meet high-quality standards and are completed on time and within budget.</li></ul> Qualifications<ul><li>Bachelor’s or master’s degree in computer science, Machine Learning, Data Science or a related field.</li><li>At least 5 to 8 years of hands-on experience in designing and delivering AI/ML solutions.</li><li>Good understanding of concepts involving Probability, Statistics, Linear Algebra, Programming and basics of Machine Learning</li><li>Strong expertise in NLP tasks, including and not limited to Topic modelling, Entity Extraction, Summarization and Sentiment analysis OR Proficiency in Computer Vision tasks including and not limited to Object detection, Image segmentation, Image classification.</li><li>Experience working within a cloud solutions environment such as AWS, Azure or Google Cloud. Familiarity with Cloud AI services and tools is a plus.</li><li>Proficiency in programming languages such as Python or R.</li><li>Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>Familiarity with MLOps is a plus</li><li>Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.</li><li>Strong communication and presentation skills.</li></ul>

Automation Process Engineer

Alation Expert We’re looking for exceptional professionals who’ve mastered the Alation tool — people who can turn metadata into meaning and data into business impact.If you’ve worked hands-on with Alation for data cataloging, governance, or metadata automation, we’d love to connect!Domain: Telecom Data &amp; AI Share your updated resume now.

Incedo Inc

3D Artist

Data Science Manager Work on transformative projects in:<ul><li>Generative AI</li><li>MLOps</li><li>Predictive Analytics</li><li>Machine Learning</li><li>Collaborate with brilliant minds in an innovation-driven, inclusive culture</li><li>Unmatched growth opportunities + access to cutting-edge tools</li></ul> What We’re Looking For:<ul><li>Proven expertise in Generative AI &amp; MLOps</li><li>Strong problem-solving &amp; analytical thinking</li><li>Hands-on experience with top AI/ML frameworks</li><li>Experience - 9–14 years</li></ul> What’s in It for You?<ul><li>Solve high-impact challenges in healthcare, finance, retail, and more</li><li>Be part of a global leader in digital transformation</li><li>Thrive in a culture of creativity, learning, and growth</li></ul> Share your updated resume now.

Publicis Sapient Consulting Pvt Ltd

Senior Manager Advanced Analytics, CS Ops & BIAirbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.The Analytics Center of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership &amp; economics.The ACOE's delivery framework streamlines data-driven decision-making by offering a comprehensive solution for metrics, actionable dashboards, performance optimization, impact measurement, ROI analysis, opportunity prioritization, anomaly-driven alerts, root cause diagnostics, and hypothesis testing.The Community You Will Join: Airbnb’s Community Support Analytics team focuses on ensuring world-class service for our global community of guests and hosts. As an integral part of the Analytics Center of Excellence (ACOE), the team partners closely with various product and operational teams to drive data-informed decisions that enhance customer experiences and operational efficiencies.The Difference You Will Make:As a senior manager of advanced analytics , you will lead a high-performing team tasked with delivering actionable insights, developing robust data frameworks, driving advanced analytics solutions and building self-serve dashboards. Your expertise will shape and support Community Support’s strategic goals, including reducing contact volumes, increasing first contact resolution rates, and optimizing cost-effective service delivery. <h4>Why This Role Will Be a Game-Changer:</h4>Your unique blend of technical acumen, structured experimentation expertise, and leadership capabilities will help shape Airbnb’s Community Support into a function that not only resolves issues efficiently but anticipates and prevents them at scale.<h4>Key Responsibilities:</h4><ul><li>Leadership &amp; Strategy:</li><ul><li>Lead and inspire a multidisciplinary analytics team to deliver data-driven insights for Community Support.</li><li>Develop and execute an analytics strategy to align with organizational priorities, such as reducing contact volume, increasing first contact resolution (FCR), and optimizing cost-effective service delivery.</li><li>Translate Community Support priorities into actionable data strategies to enhance customer satisfaction, operational efficiency, and proactive issue resolution.</li></ul><li>Advanced Analytics Solutions:</li><ul><li>Drive analytics frameworks across Community Support AI tools, operational processes, and ambassador interactions.</li><li>Design predictive and causal modeling techniques to identify trends, optimize resourcing, and improve service experiences.</li><li>Enhance anomaly detection capabilities and integrate predictive analytics with operational dashboards to deliver real-time insights.</li></ul><li>Collaboration:</li><ul><li>Partner across functional teams such as Product, Operations, and Data Engineering to ensure alignment of insights with business objectives.</li><li>Work closely with engineering on logging improvements, instrumentation, and scalable tools.</li></ul><li>Metrics Development:</li><ul><li>Build and oversee impactful metrics such as Net Promoter Score (NPS), Time to First Touch (TTFT), First Contact Resolution (FCR), Solves Per Day (SPD), and advanced Service Quality metrics.</li><li>Introduce models for measuring and mitigating silent suffering and other nuanced customer trends.</li></ul><li>Experimentation &amp; Measurement:</li><ul><li>Lead structured experimentation, including developing power analyses, exit criteria, and statistical models for inference in key initiatives.</li></ul><li>Organizational Leadership:</li><ul><li>Foster innovation in CS analytics by organizing workshops and structured training programs tailored to address core priorities like contact volume reduction, resolution speed, and data-augmented service strategies.</li><li>Contribute to executive-level presentations that contextualize CS performance data within broader organizational objectives, ensuring insights are framed to influence senior leaders and drive strategic decision-making.</li></ul></ul>A Typical Day: <ul><li>Owning the analytics road map, prioritization &amp; delivery of solutions in the customer support space space. </li><li>Collaborating with operational teams to visualize case and interaction-level data to unpack contact reason trends and efficiencies.</li><li>Engaging with global &amp; India based stakeholders to refine Community Support reporting frameworks.</li><li>Lead data investigations, uncover root causes and identify opportunities for product managers. </li><li>Building scalable insights solutions using advanced analytics techniques.</li><li>Working closely with Product Managers and Business leads to design, execute and evaluate A/B tests. Understand common pitfalls and caveats of experimentation.</li><li>Define how to best measure the performance of Airbnb products and business through new metrics and dimensions. Align with stakeholders, understand trade offs and guardrails, prototype metrics through custom data pipelines.</li><li>Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards. </li><li>Work closely with other global operations and India analytics functions.</li><li>Drive accountability within the team and effectively manage stakeholder expectations </li><li>Hire, retain and grow talent across the right mix of functional areas to meet payment analytics needs.</li><li>Coach and mentor direct reports on both technical development and soft skills.</li><li>Adapt and grow the India customer support analytics team as the business evolves.</li></ul>Your Expertise:<ul><li>15+ years of industry experience and an advanced degree (Masters or PhD preferred) in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research.</li><li>Proven expertise in leveraging analytics to shape customer support strategies, including reducing contact volumes, enhancing resolution rates, and improving service quality metrics such as NPS and FCR.</li><li>Strong proficiency in Python or R programming, SQL, data modeling, ETL processes, and data warehousing concepts to ensure scalable and efficient data pipelines.</li><li>Extensive experience in advanced statistical methodologies, including hypothesis testing, regression techniques (Linear, Logistic, Ridge, Lasso), Random Forest, NLP/Text Mining, and clustering algorithms like K-Means.</li><li>Expertise in designing and developing BI dashboards using tools like Tableau, Power BI, or Looker, with a focus on user-centric design, advanced visualizations, interactivity features, and performance optimization.</li><li>Demonstrated ability to design metrics and prototypes integrated with robust data pipelines, supporting actionable insights and decision-making.</li><li>Skilled in A/B experiment analysis, statistical data analysis, and experimental design to measure effectiveness and drive continuous improvement.</li><li>Proven communication and collaboration skills, capable of translating technical insights into actionable narratives for both technical and non-technical audiences within cross-cultural and cross-functional teams.</li><li>Experience driving data strategies, establishing centralized sources of truth, and providing direction on analytics within diverse organizational contexts.</li></ul>Our Commitment To Inclusion &amp; Belonging:Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.<h4>Experience Level</h4>Senior Level

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Data Annotation Engineer

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3D Artist

Data Scientist

Senior Analyst

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