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Data Scientist (Image Processing) We’re looking for Data Scientist with expertise in image processing and the following skills:<ul><li>Strong understanding of supply chain and supplier performance evaluation</li><li>Experience in procurement, supplier management, logistics, and plant operations</li><li>Proficiency in Python, PySpark, SQL, Power BI (Advanced), Databricks, Azure/AWS</li><li>Machine Learning, Data Visualization, TensorFlow, PyTorch</li><li>Power BI Desktop &amp; Service (Advanced): DAX, custom visuals, Python integration</li><li>ML &amp; AI: Predictive modeling, regression, classification, clustering, anomaly detection</li><li>Data wrangling: Pandas, NumPy, Scikit-learn, PySpark</li><li>Dev skills: Bash, Java Core, Spring Boot, REST, Gradle</li><li>Excellent communication and stakeholder management skills</li><li>Bonus: German language proficiency</li></ul> Notice period: Immediate to max 30 daysExperience: 3 – 6 Years If interested, share your updated CV.

Capgemini

Data Scientist

Business Intelligence Delivery Lead, Data Products, YouTube<h4>Minimum qualifications:</h4><ul><li>Bachelor’s degree or equivalent practical experience. </li><li>5 years of experience in system architecture and code comprehension reading in one programming language (Java, C++, Python, etc.).</li><li>5 years of experience troubleshooting technical issues for internal/external partners or customers.</li><li>5 years of experience with data analysis and SQL/MySQL.</li><li>5 years of experience in analytics and analytics development.</li><li>Experience with relational databases including SQL queries, database definition, and schema design. Experience with business intelligence and data visualization tools including Looker, Tableau, or PowerBI.</li></ul> <h4>Preferred qualifications:</h4><ul><li>Master’s degree or equivalent practical experience.</li><li>10 years of experience creating dashboards, manipulating datasets, and performing data analysis using SQL and data visualization tools (Looker, Tableau, PowerBI, Data Studio, etc.).</li><li>Experience working with product adoption, business, or media consumption data, and working with Python-based APIs and utilities.</li><li>Experience with one or more programming languages (Python, Java, C++, etc.) to deliver or manage data pipelines.</li><li>Experience converting business requests into technical requirements for insightful data products. Experience deploying data products, including working cross-functionally to deliver products and tailored communications to drive adoption.</li></ul>5 years of experience with data analysis and SQL/MySQL.5 years of experience with data analysis and SQL/MySQL.<h4>About the job</h4>YouTube Analytics and Data Science drives robust business decisions through analysis, data democratization, and actionable insights. The Users, Partnerships, and Creators Data Products team enhances the experience of front-line strategic partner managers and support operations. This is achieved by developing scalable data products and delivering cogent insights for partner engagement, creator and consumer support and go-to-market strategies across YouTube's relationships with creators, brands, media companies and distributors.In this role, you will lead the end-to-end development of our centralized reporting and analytics solutions. You will partner with Partnerships, Support, and Go-to-Market teams to translate business needs into impactful data products that drive better decision-making at scale. You will own the delivery of these solutions while advocating technical best practices among our community of BI analysts and data engineers.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.In this role, you will lead the end-to-end development of our centralized reporting and analytics solutions. You will partner with Partnerships, Support, and Go-to-Market teams to translate business needs into impactful data products that drive better decision-making at scale. You will own the delivery of these solutions while advocating technical best practices among our community of BI analysts and data engineers.<h4>Responsibilities</h4><ul><li>Lead the end-to-end development and deployment of centralized, reports, dashboards, models, and tools to analyze and present data related to partner management, creator and consumer support. </li><li>Collaborate with Partnerships, Consumer and Creator Support Operations, and Go-to-Market (GTM) teams to identify key business questions and process pain points where data products can enhance YouTube's GTM outcomes. Translate ambiguous business requests into technical requirements for insightful data products. </li><li>Deliver and contribute to a prioritized roadmap, working cross-functionally with Data Infrastructure (DI) and Engineering to release product features that empower stakeholders to improve YouTube's support outcomes. </li><li>Deliver data products to Partner Management and User Support teams to drive better decision-making. Assist in creating Key Performance Indicators and key results for the YouTube Business Organization, and provide strategic and operational recommendations to achieve goals. </li></ul><h4>Experience Level</h4>Senior Level

Google India Pvt Ltd

Business Intelligence Manager

Business Intelligence AnalystWe’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.Pure Storage, Inc. is seeking a highly skilled and experienced Lead BI Engineer - Tableau Developer to join our team. As a BI Engineer - Tableau Developer, you will be in a customer-facing role, responsible for requirements analysis, design and implementing effective data visualization solutions, creating interactive reports and dashboards, and providing valuable insights to drive data-informed decision-making across the organization. While proficiency in Tableau is the primary requirement for this role, expertise in similar tools like QlikView/Qlik Sense, Salesforce CRM Analytics , Power BI,  or AWS QuickSight will be advantageous for effectively integrating data from diverse sources.Technical Qualifications:<ul><li>8+years of experience in designing and developing interactive dashboards and reports in Tableau that effectively communicate complex data insights to non-technical users.</li><li>3+years of working knowledge on Snowflake is a Plus</li><li>Highly Proficient and hands on - Complex SQL </li><li>Familiarity with working with GTM data and exposure to Salesforce.</li><li>Having done Quality Assurance in prior roles as additional responsibilities.</li><li>Be able to operate as a Fullstack BI engineer when need be.</li><li>Experience with Salesforce Einstein Analytics &amp; SOQL is value add.</li><li>Hands-on experience on Python , Pyspark.</li><li>Develop and maintain data sources, data extracts, and data models to support reporting and analytics needs.</li><li>Stay up-to-date with the latest trends and advancements in Tableau software and data visualization techniques, and incorporate new features and capabilities into existing reports and dashboards.</li><li>Identify and troubleshoot issues with existing Tableau reports and dashboards, and implement solutions to optimize performance and usability.</li><li>Work closely with the data engineering team to ensure data quality, consistency, and accuracy.</li><li>Collaborate with business stakeholders and data analysts to understand business requirements and translate them into actionable insights and reporting solutions.</li></ul><ul><li>Bachelor's degree in Computer Science, Information Systems, Math, Statistics, or a related field.</li><li>Strong understanding of data visualization and design principles, with the ability to transform complex data sets into simple and intuitive visualizations.</li><li>Solid understanding of data modeling, database design, and SQL.</li><li>Experience with data integration, ETL, and data warehousing concepts.</li><li>Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams Strong communication skills.</li><li>An ability to talk both to the technical teams responsible for the data and comfortable explaining data and conclusions to non-technical teams.</li><li>Tableau Desktop and Tableau Server Certification is a plus.</li><li>Experience with Cloud Database systems like Snowflake or AWS Redshift will be a plus. Soft Skills:<ul><li>Be a self-starter who takes autonomy and pride in your work.</li><li>Have the ability to think independently while also working in a collaborative environment.</li><li>Not be afraid to ask for help, voice your opinion, or make suggestions for improvements.</li><li>Be a fast learner and have a passion and drive for continuous learning and challenging yourself.</li><li>Be able to have fun in the midst of stress while maintaining great attention to detail.</li><li>Adapt quickly to new situations and be forward-thinking.</li><li>Have a clear and transparent communication style.</li><li>Be creative and want to use your creativity to move the business forward.</li><li>Have a willingness and openness to learning new practices, platforms, and technologies.</li></ul> This is a full time position and the candidate is expected to report into Pure Storage’s Bangalore Office. </li></ul>WHAT YOU CAN EXPECT FROM US:<ul><li>Pure Innovation: We celebrate those who think critically, like a challenge and aspire to be trailblazers.</li><li>Pure Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortune's Best Large Workplaces in the Bay Area™, Fortune's Best Workplaces for Millennials™ and certified as a Great Place to Work®!</li><li>Pure Team: We build each other up and set aside ego for the greater good.</li></ul>And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources and company-sponsored team events. Check out <a href="http://purebenefits.com">purebenefits.com</a> for more information.ACCOMMODATIONS AND ACCESSIBILITY:Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at <a href="mailto:TA-Ops@purestorage.com">TA-Ops@purestorage.com</a> if you’re invited to an interview.OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.<h4>Experience Level</h4>Mid Level

Pure Storage India Pvt Ltd

BI Developer

Business Intel Engineer<h4>Description</h4>Our customers have immense faith in our ability to deliver packages timely and as expected. A well planned network seamlessly scales to handle millions of package movements a day. It accurately forecasts the package movements across the network, has monitoring mechanisms that detect failures before they even happen (such as predicting network congestion, operations breakdown). When failures do happen, it has inbuilt redundancies to mitigate impact (such as determine other routes or service providers that can handle the extra load), and avoids relying on single points of failure (service provider, node, or arc). Finally, it is cost optimal, so that customers can be passed the benefit from an efficiently set up network. Amazon Shipping (SWA) is hiring Senior Business Intelligence Engineer (BIE) to enhance the pick-up experience and reduce first-mile costs. As a Senior BIE at SWA, you will lead the data and reporting requirements for First Mile and Pickup programs. Your role will involve close engagement with senior leaders to generate insights and conduct deep dives into key metrics that directly influence organizational strategic decisions and priorities. You will demonstrate a high proficiency in complex SQL scripting, often combining various data sets from diverse sources. You will contribute to projects to improve Volume Forecasting and Capacity Panning. You will own the design, development, and maintenance of ongoing metrics, reports, dashboards, etc. to drive key business decisions. You will simplify and automate reporting, audits, and other data-driven activities. You will partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights. You will develop and drive best practices in data integrity, consistency, validations, and documentation. Additionally, you will act as team lead providing mentorship, reviewing product development, and offering guidance on ad-hoc leadership requests to junior team members. You will work as part of a diverse data science and engineering team comprising of Applied Scientists, Software Development Engineers, and other BIEs. Furthermore, you will also be called upon to provide business intelligence consultation beyond your team for various problem statements. If you are excited by this charter, come join us! <h4>Basic Qualifications</h4>- Bachelors or Masters in Computer Science, Mathematics, Statistics, Operations Research, Data Science, Economics, Business Administration, or a similar related discipline - 5+ years of experience in BIE/BA roles with hands-on SQL and advanced Microsoft Excel skills - Experience with statistical analytics and programming languages such as R, Python, Ruby, etc. - Experience with metric creation, theory and practice of design of experiments and statistical analysis of results - Experience with data visualization using Tableau, Quicksight, or similar tools<h4>Preferred Qualifications</h4>- Master's degree in statistics, data science, or an equivalent quantitative field - Prior Experience in Transportation Logistics business - Superior verbal and written communication and presentation skills, experience working across functional teams and senior stakeholders. - Experience with AWS technologies Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

 Amazon India Limited 

Business Intelligence Engineer

Assistant Manager Business Analytics - Adtech As an Assistant Manager - Analytics, you'll be responsible for driving data-driven projects, designing complex data solutions, providing valuable insights to stakeholders and contributing to the growth of our Ads product and business metrics.Through deep insights on Ads core product, large-scale experimentation on Adtech innovation, demand-supply forecasting, you will be driving growth of our Ads product and a very complex Ads Entertainment business. REPORTING TO: Manager - Product Analytics KEY RESPONSIBILITIES:<ul><li>Apply the analytics knowledge/skills in problem-solving and deliver actionable insights&nbsp;</li><li>Generate and deliver quality data insights by creating reports, dashboards, and structured documented formats or summaries using tools such as Power BI, Tableau, and other analytics platforms</li><li>Develop a deep understanding of the data platform, technology stack, and ETL processes to ensure accurate analysis and reporting&nbsp;</li><li>Utilize statistical techniques to validate findings and draw meaningful conclusions&nbsp;</li><li>Communicate complex data concepts effectively to both technical and non-technical audiences</li><li>Partner with stakeholders to identify opportunities, support strategic decisions, and drive growth through predictive modeling and analysis</li><li>Manage projects end-to-end, write efficient queries, and optimize performance through A/B testing and solution design</li><li>Contribute data-driven insights in experiments and help build a culture of innovation, collaboration, and continuous improvement</li></ul><h3> </h3>SKILLS &amp; ATTRIBUTES FOR SUCCESS:<ul><li>Demonstrate expertise in predictive analysis, with a strong command of R, SQL, Python, Pyspark</li><li>Familiarity with working with big data platforms and tools (e.g., Hadoop, Spark, Hive) is preferred</li><li>Experience in dashboard building and data visualization using tools like Tableau, Power BI, or similar platforms is a strong plus</li><li>Possess advanced technical skills and the ability to collect, organize, and disseminate information accurately&nbsp;</li><li>Familiar with digital analytics and clickstream data&nbsp;</li><li>Strong communicator with the ability to present complex insights clearly to both technical and non-technical audiences</li><li>A passion for the entertainment industry and a strong understanding of online video streaming platforms (a plus)&nbsp;</li><li>Experience in Adtech and OTT platforms is preferred</li></ul><h3> </h3>PREFERRED EDUCATION &amp; EXPERIENCE:<ul><li>Bachelor's or Master's degree in Engineering, Mathematics, Operational Research, Statistics, Physics, or a related technical discipline, with 4-6 years of experience in Business/Product Analytics, preferably from consumer technology companies</li></ul> Reach out directly at - <a rel="noopener noreferrer" href="\&quot;mailto:ankita.kokas@jiostar.com\&quot;" target="_blank">ankita.kokas@jiostar.com</a>

JioHotstar

Business Analyst

R/R Shiny Developer EY is looking for passionate developers skilled in R and R Shiny to join our team for an exciting project. Role: R/R Shiny DeveloperExperience: 4–6 yearsNotice Period: Up to 60 days maximum Key Skills:<ul><li> Strong hands-on experience with R and R Shiny. </li><li> Experience building and deploying interactive dashboards using R Shiny</li><li> Familiar with SQL, Git, and API integrations</li></ul> If this sounds like you and you can join within 60 days, send your resume with the following details:- Current CTC: - Expected CTC:- Notice Period:- Current Location:- Preferred Location:

Ernst & Young LLP ( EY India )

Associate Application Developer

Sr Data Scientist<h4>Area(s) of responsibility</h4>Data Scientist experience (8 to 10) - 5B5 years of relevant work experience as a data scientistExperience designing and building statistical forecasting models.Experience in Python, AWS Cloud Services SageMaker,Comprehend, Amazon Bedrock for generative AI and Open AIExperience designing and building machine learning models.Lead the end-to-end development of AI/ML solutions, from problem definition to production deployment.Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, Scikit-learn.Minimum 2 years of experience in Azure Cloud using Natural Language APIExperience designing and building statistical forecasting models.Experience in Ingesting data from API and DatabasesExperience designing and building machine learning models.Hands-on experience with LLMs and GenAI frameworksExperience in Django, Flask web frameworksExperience designing and building optimization models., including expertise with statistical data analysis  Mandatory Skillset: Python, AWS Cloud Services SageMaker, Comprehend, Amazon Bedrock for generative AI and Open AI<h4>Experience Level</h4>Senior Level

Birlasoft Limited

Product Analytics EXL is Hiring: Product Analytics Role Experience: 2 to 9 years Requirements:<ul><li>Domain expertise in Product Analytics</li><li>Strong skills in SAS (mandatory)</li><li>Experience in Product Analytics + Banking + SAS</li><li>Immediate joiners preferred (Notice period: Immediate to 60 days)</li></ul> To Apply:Send your updated resume along with the following details: Total years of experienceRelevant years of experienceCurrent organizationCurrent CTCExpected CTCNotice period

EXL Service

Product Lead

Tableau Developer We are looking for a skilled Tableau Developer to join our team. The ideal candidate will have hands-on experience in creating, maintaining, and optimizing dashboards, reports, and visualizations that enable data-driven decision-making across the organization. Key Responsibilities:<ul><li>Develop and maintain Tableau dashboards &amp; reports</li><li>Translate business needs into data visualizations</li><li>Work with SQL &amp; multiple data sources for insights</li><li>Optimize dashboards for performance &amp; usability</li><li>Collaborate with stakeholders for BI solutions</li></ul> <ul><li>Experience: 5+ Years</li><li>Notice Period: Immediate Joiners or 15 Days (Only immediate joiners &amp; candidates serving notice period)</li></ul> Share your updated resume now.

Deqode

Data Engineer

Advanced Analytics & Reporting Analyst 3Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.  We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Senior Analyst, Enterprise Sales Analytics (IC)Location: Onsite/Hybrid — 3 days per week in office at NOIDA<h4>Team: Sales Operations &amp; Enablement</h4><ul><li>Employment: Full‑time</li></ul>Change how we sell, forecast, and retain—using first‑principles analytics.We’re scaling the analytics backbone that powers a global SaaS business. As a Senior Analyst (IC), you’ll turn messy go‑to‑market data into clear, decision‑driving insights—improving forecast accuracy, accelerating pipeline velocity, and reducing churn. You’ll collaborate with BI, Sales, Finance, Marketing, and Product to move the metrics that matter.What you’ll do (outcomes over activities)<h4>Own the revenue intelligence foundation</h4><ul><li>Model the system: Build clean, reusable datasets and semantic layers across CRM, customer, and product signals. Define metric logic (pipeline coverage, conversion, forecast error, churn risk) with clear, durable definitions.</li><li>Quantify risk and upside: Apply statistical methods and ML where they add signal—time‑series for forecasting, classification/uplift for deal and renewal prioritization, survival analysis for churn.</li><li>Automate the feedback loop: Productionize data quality checks, anomaly detection, and alerting so insights flow into weekly operating rhythms without manual chase.</li></ul><h4>Turn analysis into operating decisions</h4><ul><li>Forecast with precision: Diagnose variance and bias, and propose specific changes to roll‑ups, cadence, and judgment overlays that improve commit reliability.</li><li>Fix funnel friction: Identify stage‑to‑stage drop‑offs, recommend process changes (enablement, handoffs, definitions), and quantify impact via pre/post or controlled tests.</li><li>Craft compelling narratives and visuals suitable for executives, ensuring clarity and ease of reuse during QBRs.</li></ul><h4>Influence without authority</h4><ul><li>Partner across the aisle: Work with Sales leaders, Finance, and Marketing to land metric contracts and action owners.</li><li>Improve: Mentor peers on analytical structure, code hygiene, and communication craft; contribute templates, queries, and documentation others can build on.</li></ul><h4>What you bring</h4>Foundational skills (the must‑haves)<ul><li>Data engineering: Strong SQL; experience crafting schemas for analytics (slowly changing dimensions, surrogate keys, late‑arriving facts), building reliable pipelines/orchestration, and version‑controlling code and data definitions.</li><li>Statistics: Comfort with inference and experimentation (A/B, diff‑in‑diff, power), regression/time‑series, uncertainty communication, and translating assumptions into business guardrails.</li><li>Machine learning (pragmatic): Hands‑on with supervised learning for classification/regression and survival/retention modelling; ability to choose simple, explainable models when they outperform complexity.</li><li>Business and communication: You map models to money (quota, coverage, conversion, churn) and package insights into crisp, executive‑ready narratives.</li></ul><h4>Experience</h4><ul><li>5–8 years in SaaS Sales/Revenue Operations analytics; proven impact through measurable results.</li><li>Proven track record operating across modern data stacks (warehouse + transformation + notebooks + BI)—specific tools are less important than the architectural thinking and craft you bring.</li><li>Education: B.Tech/BE or Advanced degree in Math, CS, or Statistics + MBA or equivalent experience from a reputable institution.</li></ul><h4>Nice to have</h4><ul><li>Experiment development in go-to-market settings (policy changes, enablement tests, pricing/packaging experiments).</li><li>Exposure to MLOps concepts (feature hygiene, drift checks, monitoring) and documentation culture (readmes, metric contracts, data dictionaries).</li></ul>How we’ll measure success (Year 1 targets)<ul><li>Increase sales manager quota attainment by 30% through enhanced forecasting models.</li><li>Reduce pipeline leakage by 20% via AI-powered deal prioritization.</li><li>Cut customer churn by 15% through predictive retention analytics.</li></ul>Adobe is proud to be an <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" rel="noopener noreferrer" target="_blank">Equal Employment Opportunity</a> employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. <a href="https://www.adobe.com/content/dam/cc/en/careers/pdfs/executed-eeo.pdf" rel="noopener noreferrer" target="_blank">Learn more.</a>Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email <a href="mailto:%20accommodations@adobe.com" rel="noopener noreferrer" target="_blank">accommodations@adobe.com</a> or call (408) 536-3015.<h4>Experience Level</h4>Senior Level

Adobe Systems India Pvt Ltd

Sales Analyst

AIML with Python Developer Experience range:&nbsp;6-10 yearsNotice period –&nbsp;30 days If you are Interested in the above opportunity kindly share your updated resume immediately with the details below (Mandatory)Name:Contact No.Email id:Skillset:Total exp:Relevant Exp:Fulltime highest qualification (Year of completion with percentage scored):Current organization details (Payroll company):Current CTC:Expected CTC:Notice period:Current location:Any gaps between your education or career (If yes pls specify the duration):

Tata Consultancy Services (Tcs)

Junior Python Developer

Data Scientist • Must Have: Time series, forecasting, ARIMA, SARIMA, XGBoost, Random forest, Python Coding exp• Strong expertise in time series forecasting (ARIMA, XGBoost, RandomForest, TFT, NHITS, etc.) and familiarity with deep learning frameworks (TensorFlow, PyTorch).• Excellent programming skills in Python (preferred), with proficiency in libraries such as NumPy, Pandas, scikit-learn, and visualization tools (Matplotlib, Seaborn, Plotly).• Solid conceptual understanding of machine learning algorithms, deep learning architectures, and statistical methods.• Experience with data preprocessing, feature engineering, and model evaluation. Immediate Joiners preferred If you are interested, Share your resumes to <a rel="noopener noreferrer" href="\&quot;mailto:shyamsundarr@thoucentric.com\&quot;" target="_blank">shyamsundarr@thoucentric.com</a> on or before 1st September

Thoucentric Technology Private Limited

Data Science Associate ConsultantData Science: Associate ConsultantExperience: 2.5+ yearsRequirement:<ul><li>Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 2.5+ years of relevant experience in Machine Learning, Statistics.</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill and should be able to frame problem statement into analytical approaches</li><li>Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.</li><li>Strong programming experience in Python, SQL Should have experience of working with open-source packages &amp; commercial/enterprise applications. </li><li>Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble &amp; tree-based models, time-series analysis with hands on experience on some of them.</li><li>Familiarity with NLP concepts.</li><li>Exposure on Generative AI and retriever augmented generation use cases</li></ul> Data Science: Associate ConsultantExperience: 2.5+ yearsRequirement:<ul><li>Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 2.5+ years of relevant experience in Machine Learning, Statistics.</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill and should be able to frame problem statement into analytical approaches</li><li>Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.</li><li>Strong programming experience in Python, SQL Should have experience of working with open-source packages &amp; commercial/enterprise applications. </li><li>Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble &amp; tree-based models, time-series analysis with hands on experience on some of them.</li><li>Familiarity with NLP concepts.</li><li>Exposure on Generative AI and retriever augmented generation use cases</li></ul> Data Science: Associate ConsultantExperience: 2.5+ yearsRequirement:<ul><li>Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 2.5+ years of relevant experience in Machine Learning, Statistics.</li><li>Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.</li></ul> Must have Skills and Experience<ul><li>Excellent communication skill and should be able to frame problem statement into analytical approaches</li><li>Strong in exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.</li><li>Strong programming experience in Python, SQL Should have experience of working with open-source packages &amp; commercial/enterprise applications. </li><li>Excellent in machine learning, statistical methods, such as regression, classification, clustering, ensemble &amp; tree-based models, time-series analysis with hands on experience on some of them.</li><li>Familiarity with NLP concepts.</li><li>Exposure on Generative AI and retriever augmented generation use cases</li></ul> <h4>Experience Level</h4>Mid Level

Kpmg India Services Llp

Data Science Intern

Bigdata + GCP Engineer We're on the lookout for talented individuals to join our expanding tech team: Position: Bigdata + GCP EngineerExperience: 3.5 to 6.5 yearsSkills: Python, Pyspark, SQLMust-have: GCP If you fit the bill and are ready to dive into exciting opportunities, send your resume, and we're seeking immediate joiners only!

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