3471 Data Scientist Jobs - Page 29

We are seeking a highly skilled and motivated Data Scientist with 4 to 6 years of experience to join our analytics team. The ideal candidate will have a strong foundation in statistical modeling, machine learning, and data storytelling, with a proven ability to turn complex data into actionable insights that drive business decisions. Key Responsibilities: Collaborate with cross-functional teams to identify business challenges and develop data-driven solutions. Design, develop, and deploy machine learning models and statistical algorithms. Perform exploratory data analysis and feature engineering on large datasets. Build dashboards and visualizations to communicate insights to stakeholders. Conduct A/B testing and other experimental designs to evaluate business strategies. Ensure data quality and integrity through rigorous validation and cleaning processes. Stay up to date with the latest developments in data science, machine learning, and AI. Required Skills & Qualifications: Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field. 4–6 years of hands-on experience in data science, analytics, or a similar role. Proficiency in Python or R, and experience with libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Strong SQL skills and experience working with relational databases. Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. Solid understanding of statistical methods, hypothesis testing, and experimental design. Excellent communication and presentation skills.

Principal Data Scientist / Senior Data Scientist / Data Scientist - NLP / Machine Learning Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems. CTC : - Best Package in Industry. - Terms & Conditions Apply as per our organization. - To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity. - Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter. We have a disruptive Innovative Technology Products Line and Novel Solutions delivered through Mobile App / Web on our Cloud Digital Health Platform which is a Game changer, will surpass the current medical Practices, and is driven by Scientific evidence on actionable data-driven in Prevention, early detection, Treatment, Consultation, Clinical decision, Disease management areas of Top5 Chronic Diseases ( Including Top 20 Cancer Diseases|Diabetes|HeartDisease|Mental Health|COPD ) and COVID-19 Pandemic Management Globally to Impact the Lives of Billions of People Globally in a fastest-growing @51.3% CAGR in a few Trillion Dollars AI Health Global Market and Chronic Diseases Global Market. We will be looking to join Professionals in our 360-degree domain expertise areas | 200 Medical Doctors and Medical Researchers and 250 Data Scientists |AI Health Researchers Scientists| and with a total of more than 5000 Growth Drivers professionals with more than 2000 IT professionals| 2000 Business Development |Marketing and Sales|Global Operations of high energy Growth Drivers entrepreneur mindset (not the traditional employees) from across the world's Best Technology and Research Institutes in next 5 Years Timeline at our coming up India Global HQ, Global Technology Development and Innovation Center and Benovymed Global R and D and AI Health Innovation Lab to work on Thousands of complex problems in Healthcare to bring change in Healthcare to Impact the Life of Billions of People Globally to support our country "Make in India" Programme with solving every country local problems, local challenges and global problems globally.

Must have experience in Data Science Fundamentals, Data Analysis & Visualization, Statistics & Probability Must have experience in prompt engineering, RAG & GenAI. Should have experience in Python or R Should have experience in Data science on GCP.

Title: Data Scientist (Immediate Joiners) Location: Bangalore/ Gurgaon Experience: 4+ years Role Summary: We’re seeking a Data Scientist to lead customer behavior and lapse analytics initiatives. You’ll be responsible for collecting and preparing data, conducting analysis, developing predictive models, and delivering actionable insights to reduce policy lapses and improve retention. --- Key Responsibilities: · Data Collection & Prep: Gather and clean data from sources like Salesforce, Life3, Snowflake, and SQL databases. · Analysis: Perform campaign evaluations (PIRs), customer segmentation, and cancellation analysis using customer feedback and behavior patterns. · Insights & Recommendations: Identify key lapse drivers and propose strategies to reduce cancellation rates. · Modeling: Enhance the lapse propensity model using techniques like logistic regression, decision trees, and machine learning algorithms. · Reporting: Build dashboards and visualizations to monitor lapse-related KPIs; present findings to stakeholders. · Experimentation: Design and analyze tests to validate hypotheses and assess impact of interventions. --- Required Skills: · Proficiency in SQL and Python · Experience with Snowflake, Salesforce, and BI tools (Power BI) · Strong analytical and statistical modeling skills · Clear communication of data-driven insights to non-technical stakeholders · Background in insurance or financial services is a plus

Location: Bangalore Key Responsibilities: Design, develop, and deploy AI/ML models, particularly using LLAMA and similar LLM frameworks. Integrate vector databases and PostgreSQL for intelligent data retrieval and storage. Build and optimize Python-based pipelines , APIs, and backend services for AI applications. Leverage Databricks for scalable data processing, model training, and deployment. Collaborate with cross-functional teams to deliver production-ready AI solutions rapidly. Contribute to POCs and prototypes to validate ideas and iterate quickly. Must-Have Skills: 7+ years of experience in Data Science / AI Engineering roles. Proficiency with Databricks , Python , and PostgreSQL . Hands-on experience working with LLMs (especially LLAMA) and vector DBs like Pinecone, FAISS, or similar. Strong understanding of AI/ML lifecycle , from model development to deployment. Experience in startup or agile environments , with proven rapid delivery capabilities. Good to Have: Familiarity with cloud platforms (AWS/Azure/GCP). Knowledge of LangChain or similar LLM orchestration frameworks. Exposure to MLOps best practices and deployment tools.

Role & responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors. Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup. Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML engineers, and Software Engineering teams to ensure successful delivery of ML projects. Client & Stakeholder Collaboration: Collaborate with project managers and stakeholders across a range of sectors to gather requirements and translate business needs into technical solutions. Present findings and ML model results to non-technical audiences in a clear manner, and refine solutions based on their feedback. Quality, Security & Compliance: Ensure that ML solutions meet quality and performance standards. Implement monitoring and logging for models in production, and proactively improve model accuracy and efficiency. Given the sensitive nature of our data, enforce data security best practices and compliance with relevant regulations (e.g. data privacy and confidentiality) in all ML workflows. Required Qualifications & Experience: Education: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or related field. Strong foundation in statistics and algorithms is expected. Experience: 5+ years of hands-on experience in machine learning or data science roles, with a track record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role. Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous. Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/CD pipelines for ML, using tools like Docker and Jenkins, and infrastructure-as-code tools like CloudFormation or Terraform to automate deployments. Hybrid Work Skills: Ability to thrive in a hybrid work environment – should be self-motivated and communicative when working remotely, and effective at in-person collaboration during on-site days. (The role will be based in Chennai with a mix of remote and office work.) Soft Skills: Excellent problem-solving and analytical thinking. Strong communication skills to explain complex ML concepts to clients or management. Ability to work under tight deadlines and multitask across projects for different clients. A client-focused mindset is essential, as the role involves understanding and addressing the needs of large clients who come to us because they trust us.

Well versed with Python for data science. Feature engineering, data analysis and cleansing using Python Experienced in Data visualization techniques and finding anomalies using graphs/modelling (matplotlib/seaborn) Model building/hyperparameter tuning knowledge using scikit-learn/vertex-AI Experienced in ML models like regression, logistics regression, PCA, Decision trees and random forest, clustering, SVM Decent GenAI and Prompt Engineering Skills Experienced working with any cloud environment preferably GCP Basic knowledge of docker/containers and CI/CD, deployment libraries Experience with production level datasets and use cases

we are hiring Lead Data Scientist !!! As a seasoned Lead Data Scientist , you will join our team in Kolkata and play a pivotal role in driving the development and implementation of advanced data and AI solutions. Responsibilities Lead the design and implementation of generative AI solutions, leveraging NLP, text analytics, sentiment analysis, transformer models, gen-AI, LLM, and vector databases to drive innovation and business impact. Provide strategic guidance and mentorship to the team, fostering a culture of continuous learning and professional development in AI technologies. Collaborate with cross-functional teams to identify and prioritize AI opportunities, aligning with business objectives and operational needs. Develop and execute gen-AI roadmaps, ensuring the successful delivery of gen-AI projects/solutions from ideation to deployment. Stay abreast of the latest advancements in gen-AI and data science, evaluating emerging technologies and best practices to enhance our AI capabilities. Partner with stakeholders to understand their requirements and translate them into scalable gen-AI solutions, driving tangible value for the organization. Lead and contribute to AI research initiatives, publishing findings and representing the organization in industry forums and events. Oversee the design and optimization of gen-AI algorithms, models, and frameworks, ensuring robustness, efficiency, and accuracy. Champion the adoption of AI ethics and governance principles, embedding responsible AI practices into our solutions and processes. Cultivate a collaborative and inclusive work environment, promoting knowledge sharing and cross-team collaboration to achieve AI excellence. Requirements : Proven experience as a Data Scientist for minimum 5 years. Solid understanding of machine learning. Knowledge of data management and visualization techniques. Good knowledge of R, Python and MATLAB Experience with SQL and NoSQL databases Strong project management skills and proven ability working in cross-functional teams and mentoring talent. Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,500,000.00 per year Benefits: Provident Fund Schedule: Day shift Monday to Friday Experience: Data science: 4 years (Preferred) Work Location: In person

Dear Connections, We're Currently hiring for Data Scientist Experience Required: 3+ Years Skills: 1) Candidate should have experience in Advance Excel 2) Candidate should have experience in VBA 3) Candidate should have experience in Machine Learning 4) Candidate should have experience in Data Visualization 5) Candidate should have experience in MySQL 6) Candidate should have experience in Liner Regression 7) Candidate should have experience in Statistic Analysis 8) Candidate should have experience in Python 9) Candidate should have experience in AWS OR Azure 10) Candidate should have experience in Extract, Transform, and Load (ETL) 11) Candidate should have experience in Exploratory Data Analysis (EDA) 12) Candidate should have experience in Hadoop 13) Candidate should have experience in Spark 14) Candidate should have experience in Power BI 15) Candidate should be an IMMEDIATE JOINER Job Type: Full-time Pay: ₹500,000.00 - ₹1,500,000.00 per year Benefits: Commuter assistance Health insurance Life insurance Provident Fund Work Location: In person

Apply Now : sowmya.v@acesoftlabs.com Were Hiring: Data Scientist (6-9 Years) | Azure | Machine Learning | Python Location : Bangalore Experience : 6 to 9 Years Primary Skill : Data Science & Machine Learning Key Responsibilities : Collect, clean, and preprocess large datasets from diverse sources. Design and deploy robust machine learning models to enhance operational efficiency. Perform exploratory data analysis (EDA) to uncover trends and patterns. Leverage Azure Machine Learning , Azure Databricks , and Azure AI Foundry to develop, train, and deploy predictive models. Collaborate closely with data engineers, software developers, and business teams to integrate models into production. Communicate insights clearly using data visualizations, reports, and presentations. Must-Have Skills : Strong hands-on experience in Python or R for machine learning and data analysis. Proficiency in Azure services : Azure Machine Learning, Logic Apps, Data Factory, Databricks, AI Foundry. Solid foundation in statistical analysis , predictive modeling , and data mining techniques. Excellent communication and collaboration skills. What Were Looking For: Proven track record with a portfolio of impactful data science projects. Ability to handle large, complex datasets and derive business value. Strong problem-solving mindset and adaptability. If you're a data-driven problem solver who thrives on building ML solutions in the Azure ecosystem, wed love to hear from you! Apply Now and be part of our data transformation journey.

✅ Must-Have Skills & Responsibilities 🔗 Cross-Functional Collaboration • Work closely with data scientists, data engineers, software engineers, data managers , and business stakeholders. 🛠 Product Building • Build scalable, reusable, and impactful data science products using statistical or machine learning algorithms . • Collaborate with engineers to bring models into production. 📊 Data Analysis for Business Insights • Perform deep-dive data analysis to extract actionable insights for business decisions. 🧠 Experience & Technical Expertise • 5+ years of hands-on experience in designing, prototyping, productionizing , and maintaining data science products. • Strong understanding of the mathematical foundations of statistics and ML. 💻 Programming Proficiency • Development experience in Python . • Proficiency in Advanced SQL . 🧪 Experimental Design • Solid knowledge of A/B testing, hypothesis testing , and related statistical methods. 🌟 Good-to-Have Skills 📚 Classical Machine Learning • Experience with regression, classification, clustering , etc. 🧠 Deep Learning (DL) • Should be able to fine-tune pre-trained DL models (not necessarily build from scratch). 🧮 Optimization Techniques • Knowledge of linear, non-linear optimization methods . 🧾 LLMs / RAGs (Retrieval-Augmented Generation) • Exposure to large language models and how to integrate them into data products.

Job Summary We are looking for a hands-on Data Scientist with deep expertise in NLP and Generative AI to help build and refine the intelligence behind our agentic AI systems. You will be responsible for fine-tuning , prompt engineering , and evaluating LLMs that power our digital workers across real-world workflows. Key Responsibilities Fine-tune and evaluate LLMs (e.g., Mistral, LLaMA, Qwen) using frameworks like Unsloth , HuggingFace, and DeepSpeed Develop high-quality prompts and RAG pipelines for few-shot and zero-shot performance Analyze and curate domain-specific text datasets for training and evaluation Conduct performance and safety evaluation of fine-tuned models Collaborate with engineering teams to integrate models into agentic workflows Stay up to date with the latest in open-source LLMs and GenAI tools, and rapidly prototype experiments Apply efficient training and inference techniques (LoRA, QLoRA, quantization, etc.) Requirements 3+ years of experience in Natural Language Processing (NLP) and machine learning applied to text Strong coding skills in python Hands-on experience fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, Qwen) using frameworks like Unsloth , HuggingFace Transformers , PEFT , LoRA , QLoRA , bitsandbytes Proficient in PyTorch (preferred) or TensorFlow , with experience in writing custom training/evaluation loops Experience in dataset preparation , tokenization (e.g., Tokenizer, tokenizers), and formatting for instruction tuning (ChatML, Alpaca, ShareGPT formats) Familiarity with retrieval-augmented generation (RAG) using FAISS , Chroma , Weaviate , or Qdrant Strong knowledge of prompt engineering , few-shot/zero-shot learning , chain-of-thought prompting , and function-calling patterns Exposure to agentic AI frameworks like CrewAI , Phidata , LangChain , LlamaIndex , or AutoGen Experience with GPU-accelerated training/inference and libraries like DeepSpeed , Accelerate , Flash Attention , Transformers v2 , etc. Solid understanding of LLM evaluation metrics (BLEU, ROUGE, perplexity, pass@k) and safety-related metrics (toxicity, bias) Ability to work with open-source checkpoints and formats (e.g., safetensors , GGUF , HF Hub , GPTQ , ExLlama ) Comfortable with containerized environments (Docker) and scripting for training pipelines , data curation , or evaluation workflows Nice to Haves Experience in Linux (Ubuntu) Terminal/Bash Scripting Date Opened 07/08/2025 Job Type Full time Years of Experience 3 - 6 Years Domain Chemicals City Chennai State/Province Tamil Nadu Country India Zip/Postal Code 600001

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence. Job Description/Preferred Qualifications We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with business partners to improve business outcomes. Responsibilities for Data Scientist/ML Engineer: Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale. Research and devise innovative statistical models/ML models for data analysis Develop and maintain RAG (Retrieval-Augmented Generation) applications. Implement changes to algorithms to improve AI performance and retrieval techniques. Use predictive modeling to increase and optimize customer service experience and supply chain optimization. Identify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data sets. Work with business partners throughout the organization to find opportunities for using company data to drive solutions. Working with project managers to establish objectives for AI systems. Minimum Qualifications Bachelor’s degree (or equivalent) in computer science, statistics, applied mathematics, or related discipline Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry 2+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn). Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM,NB, Decision Trees. Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch. We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors. Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup. Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML engineers, and Software Engineering teams to ensure successful delivery of ML projects. Client & Stakeholder Collaboration: Collaborate with project managers and stakeholders across a range of sectors to gather requirements and translate business needs into technical solutions. Present findings and ML model results to non-technical audiences in a clear manner, and refine solutions based on their feedback. Quality, Security & Compliance: Ensure that ML solutions meet quality and performance standards. Implement monitoring and logging for models in production, and proactively improve model accuracy and efficiency. Given the sensitive nature of our data, enforce data security best practices and compliance with relevant regulations (e.g. data privacy and confidentiality) in all ML workflows. Required Qualifications & Experience: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. Strong foundation in statistics and algorithms is expected. Experience: 5+ years of hands-on experience in machine learning or data science roles, with a track record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role. Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous. Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/CD pipelines for ML, using tools like Docker and Jenkins, and infrastructure-as-code tools like CloudFormation or Terraform to automate deployments. Hybrid Work Skills: Ability to thrive in a hybrid work environment – should be self-motivated and communicative when working remotely, and effective at in-person collaboration during on-site days. (The role will be based in Chennai with a mix of remote and office work.) Soft Skills: Excellent problem-solving and analytical thinking. Strong communication skills to explain complex ML concepts to clients or management. Ability to work under tight deadlines and multitask across projects for different clients. A client-focused mindset is essential, as the role involves understanding and addressing the needs of large clients who come to us because they trust us.

Job Title: Data Scientist Job Location: Jaipur Experience: 2 to 5 years Job Description: We are seeking a highly skilled and innovative Data Scientist to join our dynamic and forward-thinking team. This role is ideal for someone who is passionate about advancing the fields of Classical Machine Learning, Conversational AI, and Deep Learning Systems, and thrives on translating complex mathematical challenges into actionable machine learning models. The successful candidate will focus on developing, designing, and maintaining cutting-edge AI-based systems, ensuring seamless and engaging user experiences. Additionally, the role involves active participation in a wide variety of Natural Language Processing (NLP) tasks, including refining and optimizing prompts to enhance the performance of Large Language Models (LLMs). Key Responsibilities: • Generative AI Solutions: Develop innovative Generative AI solutions using machine learning and AI technologies, including building and fine-tuning models such as GANs, VAEs, and Transformers. • Classical ML Models: Design and develop machine learning models (regression, decision trees, SVMs, random forests, gradient boosting, clustering, dimensionality reduction) to address complex business challenges. • Deep Learning Systems: Train, fine-tune, and deploy deep learning models such as CNNs, RNNs, LSTMs, GANs, and Transformers to solve AI problems and optimize performance. • NLP and LLM Optimization: Participate in Natural Language Processing activities, refining and optimizing prompts to improve outcomes for Large Language Models (LLMs), such as GPT, BERT, and T5. • Data Management s Feature Engineering: Work with large datasets, perform data preprocessing, augmentation, and feature engineering to prepare data for machine learning and deep learning models. • Model Evaluation s Monitoring: Fine-tune models through hyperparameter optimization (grid search, random search, Bayesian optimization) to improve performance metrics (accuracy, precision, recall, F1-score). Monitor model performance to address drift, overfitting, and bias. • Code Review s Design Optimization: Participate in code and design reviews, ensuring quality and scalability in system architecture and development. Work closely with other engineers to review algorithms, validate models, and improve overall system efficiency. • Collaboration s Research: Collaborate with cross-functional teams including data scientists, engineers, and product managers to integrate machine learning solutions into production. Stay up to date with the latest AI/ML trends and research, applying cutting-edge techniques to projects. Qualifications: • Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Data Science, or any related field. • Experience in Machine Learning: Extensive experience in both classical machine learning techniques (e.g., regression, SVM, decision trees) and deep learning systems (e.g., neural networks, transformers). Experience with frameworks such as TensorFlow, PyTorch, or Keras. • Natural Language Processing Expertise: Proven experience in NLP, especially with Large Language Models (LLMs) like GPT, BERT, or T5. Experience in prompt engineering, fine-tuning, and optimizing model outcomes is a strong plus. • Programming Skills: Proficiency in Python and relevant libraries such as NumPy, Pandas, Scikit-learn, and natural language processing libraries (e.g., Hugging Face Transformers, NLTK, SpaCy). • Mathematical s Statistical Knowledge: Strong understanding of statistical modeling, probability theory, and mathematical optimization techniques used in machine learning. • Model Deployment s Automation: Experience with deploying machine learning models into production environments using platforms such as AWS SageMaker or Azure ML, GCP AI, or similar. Familiarity with MLOps practices is an advantage. • Code Review s System Design: Experience in code review, design optimization, and ensuring quality in large-scale AI/ML systems. Understanding of distributed computing and parallel processing is a plus. Soft Skills s Behavioural Qualifications: • Must be a good team player and self-motivated to achieve positive results • Must have excellent communication skills in English. • Exhibits strong presentation skills with attention to detail. • It’s essential to have a strong aptitude for learning new techniques. • Takes ownership for responsibilities • Demonstrates a high degree of reliability, integrity, and trustworthiness • Ability to manage time, displays appropriate sense of urgency and meet/exceed all deadlines • Ability to accurately process high volumes of work within established deadlines. Interested candidate can share your cv or reference at sulabh.tailang@celebaltech.com

Position: Senior Data Scientist Experience: 5+ years Location: Chennai, Hyderabad, Bangalore Work Mode : 5 days work from office Role Summary We are looking for a seasoned Data Scientist to lead the development of data-driven solutions that drive strategic decision-making. You will work closely with business stakeholders, engineers, and analysts to uncover insights, build predictive models, and deploy scalable data products. Key Responsibilities Analyze large, complex datasets to extract actionable insights and trends. Design and implement machine learning models and statistical algorithms. Collaborate with cross-functional teams to define data strategies and KPIs. Develop data pipelines and automate data collection and preprocessing. Communicate findings through compelling visualizations and presentations. Mentor junior data scientists and contribute to best practices in data science. Required Skills Proficiency in Python, R, and SQL. Strong grasp of statistics, machine learning, and data modeling techniques. Experience with tools like Scikit-learn, TensorFlow, PyTorch, or Spark. Familiarity with cloud platforms (AWS, Azure, or GCP). Expertise in data visualization tools (e.g., Tableau, Power BI, Plotly). Ability to translate business problems into analytical solutions

Role: Gen AI Developer Location: Hyderabad, Bangalore, Chennai Experience: 5+ Work mode: Work from office only Role: We are seeking a highly skilled and experienced Generative AI Specialist with a strong background in Artificial Intelligence and Machine Learning. The ideal candidate will have 5+years of hands-on experience in developing and deploying AI/ML models, with a specific focus on generative technologies. This role requires a creative and analytical thinker who can leverage the latest advancements in AI to create innovative solutions and drive our projects forward. Key Responsibilities and Skillsets Design, develop, and implement generative models using state-of-the-art techniques in AI and ML, such as GANs, VAEs and Transformer-based architectures Work on reinforcement learning and generative adversarial networks Familiarity with data engineering and big data technologies. Understanding AI deployment Strong programming skills in Python including TensorFlow, PyTorch, Keras, Apache Spark, Hugging Face transformers Comfortable working with large scale datasets, distributed computing frameworks Innovative thinker with a passion for exploring new ideas and pushing the boundaries of generative AI. Qualifications: Proven experience in developing and deploying generative AI models. Strong programming skills in languages such as Python, TensorFlow, PyTorch, or similar frameworks. Experience in natural language processing (NLP) and computer vision. Publications in top-tier AI/ML conferences or journals. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Experience in natural language processing (NLP) and computer vision

Data Scientist - GenAI Lead Remote Full Time Employment About The Role We are partnering with a dynamic technology company delivering innovative digital solutions and IT services globally. Specializing in enterprise-grade applications using AWS Cloud, microservices, and AI, they drive digital transformation through custom software, data-driven insights, and client-centric innovation. We are seeking a Senior AI Engineer to lead the development of enterprise-grade Generative AI solutions, applying AI technologies, including LLMs, to solve business challenges while ensuring data privacy, security, and scalability. Responsibilities Design, fine-tune, and deploy Generative AI models for knowledge management, customer support, and content generation. Build LLM-based applications using LangChain, RLHF, and RAG. Apply prompt engineering and agent-based frameworks for adaptive AI systems. Integrate Generative AI into existing systems for scalability. Collaborate with stakeholders to identify high-impact AI use cases. Decide on custom AI builds versus third-party solutions. Drive innovation with vector databases and knowledge graphs. Optimize and troubleshoot AI systems for performance. Requirements Top 5 Must-Have Technical Skills 2+ years’ experience with LLMs and Generative AI. Expertise in LangChain, LLM tuning, and RAG pipelines. Strong knowledge of embeddings, vector databases, and prompt design. Proficiency in Python, Java, or C++. Experience in MLOps or AI product deployment. Nice-to-Have Technical Skills Background in machine learning pipelines. Familiarity with cross-functional AI delivery teams. Knowledge of scalable architectures. Soft Skills Excellent communication and interpersonal skills. Strong analytical and problem-solving abilities. Proactive, ownership-driven mindset with a passion for learning. Languages Spoken Must-Have: Fluency in English (verbal and written); Hindi proficiency if onsite in New Delhi. Nice-to-Have: Tamil, Telugu, Mandarin, or Spanish for enhanced regional and global collaboration. Perks Professional Growth: Continuous learning through diverse projects and mentorship from experienced leaders. Global Exposure: Work with clients from 20+ countries, gaining insights into diverse markets and business cultures. Work-Life Balance: Flexible arrangements to support personal wellbeing and productivity. Career Advancement: Clear progression pathways as you develop within a growing organization. Competitive Compensation: Attractive salary packages recognizing your expertise.

Job description: We are having a F2F weekend drive for the requirement of a Data Scientist + Gen AI at our LTIM Pune- Shivajinagar office. Date - 26th July 2025 Experience - 6+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS, AI/ML, NLP Location - LTIMindtree Pune- Shivajinagar Office. Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment. Generic JD- More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

Let s do this. Let s change the world. In this vital role You will be responsible for designing, developing, and deploying Generative AI and ML models to power data-driven decisions across business domains. This role is ideal for an AI practitioner who thrives in a collaborative environment and brings a strategic approach to applying advanced AI techniques to solve real-world problems. To succeed in this role, the candidate must have strong AI/ML, Data Science, GenAI experience along with MDM (Master Data Management) knowledge, hence the candidates having only MDM experience are not eligible for this role. Roles & Responsibilities: Develop enterprise-level GenAI applications using LLM frameworks. Design and develop thoughtful pipelines within Databricks and AWS environments. Implement embedding models and manage VectorStores for retrieval-augmented generation (RAG) solutions. Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems. Use SQL and Python for data engineering, data wrangling, and pipeline automation. Build scalable APIs and services to serve GenAI models in production. Lead multi-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems. Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations. Possesses strong rapid prototyping skills and can quickly translate concepts into working code. Stay updated with the latest trends, advancements and standard process for Veeva Vault Platform ecosystem. Design, develop, and implement applications and modules, including custom reports, SDKs, interfaces, and enhancements. Analyze and understand the functional & technical requirements of applications, solutions and systems, translate them into software architecture and design specifications. Develop and implement unit tests, integration tests, and other testing strategies to ensure the quality of the software following IS change control and GxP Validation process while exhibiting expertise in Risk Based Validation methodology. Work closely with multi-functional teams, including product management, design, and QA, to deliver high-quality software on time. Maintain detailed documentation of software designs, code, and development processes. Work on integrating with other systems and platforms to ensure seamless data flow and functionality. Stay up to date on Veeva Vault Features, new releases and standard processes around Veeva Platform Governance. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree / Masters degree / Bachelors degree and 8 to 13 years Computer Science, IT or related field experience Preferred Qualifications: Functional Skills: Must-Have Skills: 6+ years of experience working in AI/ML or Data Science roles, including designing and implementing GenAI solutions. Extensive hands-on experience with LLM frameworks, OpenAI APIs, and embedding models. Consistent record of building and deploying AI/ML applications in cloud environments such as AWS. Expertise in developing APIs, automation pipelines, and serving GenAI models using frameworks like Django, FastAPI, and DataBricks. Solid experience integrating and managing MDM tools (Informatica/Reltio) and applying data governance standard methodologies. Guide the team on development activities and lead the solution discussions Must have core technical capabilities in GenAI, Data Science space Experience with Veeva Vault platform and its application, including Veeva configuration settings and custom builds. 6-8 years of experience working in global pharmaceutical Industry Experience with version control systems such as Git. Good-to-Have Skills: Prior experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows. Working knowledge of Life Sciences or Pharma industry standards and regulatory considerations. Proficiency in tools like JIRA and Confluence for Agile delivery and project collaboration. Familiarity with relational databases (such as MySQL, SQL server, PostgreSQL etc.) Proficiency in programming languages such as Python, JavaScript or other programming languages Outstanding written and verbal communication skills, and ability to translate technical concepts for non-technical audiences. Experience with ETL Tools (Informatica, Databricks). Experience with API integrations such as MuleSoft. Solid understanding & Proficiency in writing SQL queries. Hands on experience on reporting tools such as Tableau, Spotfire & Power BI. Professional Certifications: Any ETL certificztion (eg. Mulesoy) Veeva Vault Platform Administrator or Equivalent Vault Certification (Mandatory) Any Data Analysis certification (SQL) Any cloud certification (AWS or AZURE) Data Science and ML Certification SAFe for Teams (Preferred) Soft Skills: Excellent analytical and solving skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. Equal opportunity statement We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

About InvestCloud InvestCloud is at the forefront of wealth technology, offering innovative solutions that redefine how the financial services industry operates. With a global presence and a client-first approach, we specialize in digital transformations powered by our flexible, modular technology. About The Team You will be joining the newly formed global AI, Data & Analytics team, as the lead Data Scientist in our India office. Your primary responsibility will be as a hands-on Data Scientist leading various projects. You will lead a small team locally and will operate as part of the global team. The new team is focused on driving increased value from the data InvestCloud captures to enable a smarter financial future for our clients, in particular focused on “enhanced intelligence”. Ensuring we have fit-for-purpose modern capabilities is a key goal for the team. We are seeking a Senior Data Scientist / Machine Learning Engineer with a strong background in Data Science, Machine Learning, and Generative AI models. The ideal candidate should have a proven track record in delivering business impact and delighting clients by developing and deploying ML and AI models in production, along with excellent problem-solving skills. In this role, you will integrate AI and ML solutions into the InvestCloud product suite. Some management experience is beneficial, but success in this role will primarily come from your data science delivery. Key Responsibilities Implement applications powered by Generative AI and Machine Learning models and deploy them in production Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment Interpret results from Machine Learning models and communicate findings to both technical and non-technical stakeholders Stay updated with the latest advancements in Machine Learning, natural language processing, and generative AI. Analyze large datasets to identify patterns, trends, and insights that can inform business decisions. Work with 3rd party providers of AI products to evaluate and implement solutions achieving Investcloud’s business objectives. Lead a small team of data scientists in India Required Skills MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience At least four years of professional experience in Data Science, Machine Learning and AI Outstanding communications skills in English High proficiency in programming in Python Knowledge of Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn) and LLM frameworks (e.g. Langchain) Knowledge of data preprocessing, feature engineering, and model evaluation metrics Experience using large language models, generative AI and agentic frameworks Experience in database technologies (Oracle, PostgreSQL) Experience working with Snowflake and/or Databricks or similar tools Working experience developing and deploying Machine Learning models in production Working experience with Git and Docker Ability to work in a fast-paced environment across multiple projects simultaneously Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect. Practical, get-things done mentality within our controls environment. Preferred Skills Working experience with Vector Database Technologies Experience with cloud platforms such as AWS, GCP, or Azure What Do We Offer Join our diverse and international cross-functional team, comprising data scientists, product managers, business analyst and software engineers. As a key member of our team, you will have the opportunity to implement cutting-edge technology to create a next-generation advisor and client experience. Location and Travel The ideal candidate will be expected to work from our Bangalore office. Occasional travel may be required. Compensation The salary range will be determined based on experience, skills, and geographic location. Equal Opportunity Employer InvestCloud is committed to fostering an inclusive workplace and welcomes applicants from all backgrounds.

Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms and data mining methodologies. They integrate this expertise with a comprehensive understanding of related domains to render business value and illuminate data-driven insights, facilitating clear and effective decision-making processes. Their responsibilities encompass devising strategies, executing plans, operationalizing solutions and articulating the tangible business outcomes achieved. Collaborating with cross-functional teams is pivotal, as they adeptly convey their discoveries to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities You will lead and manage data science projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues You will design, develop and implement data science strategies that drive measurable business results You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action You will use quality metrics to select machine learning models that will be deployed in the production environment You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind You will contribute to the growth of the data science community along with promoting a culture of data literacy within the organization You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility) You will work with CD4ML practices and data versioning tools Job qualifications Technical Skills You have experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models You have experience with statistical modeling, hypothesis testing, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects You understand the specialized areas of AI and possess a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)tc) You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations You ensure compliance with data privacy regulations and ethical standards when handling sensitive information Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You dont shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed You are a proven leader with a track record of encouraging teammates in their professional development and relationships Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business

We are looking for a skilled and experienced Data Scientist to analyze large amounts of raw information to find patterns and insights Your primary responsibility will be to use data to develop solutions that will help drive business decisions and strategies ",jobkeywords:"Data Science, Data Analytics, Machine Learning, Spark, TensorFlow, PyTorch, scikit-learn", jobresponsibilities:"Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms using frameworks such as TensorFlow, PyTorch, and scikit-learn Utilize Apache Spark for large-scale data processing and analytics Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams ",jobProven experience as a Data Scientist or Data Analyst Experience in data mining and large-scale data processing Understanding of machine-learning and operations research Proficiency in programming languages such as Python and R, with experience in ML frameworks like TensorFlow, PyTorch, and scikit-learn Strong experience with Apache Spark Knowledge of SQL; familiarity with Scala or Java is an asset Experience using business intelligence tools (e g , Tableau) and data frameworks (e g , Spark) Analytical mind and business acumen Strong math skills (e g , statistics, algebra) Excellent communication skills ",

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary This job will lead ideation, development and implementation of advanced data science models, analytics and reporting solutions in Credit Risk domain. You will work with stakeholders and senior management to understand requirements in detail and deliver precise and timely solutions. Your role involves driving best practices in data science, ensuring data quality, and generating actionable insights. Job Description Essential Responsibilities Lead the development and implementation of advanced data science models. Collaborate with stakeholders to understand requirements. Drive best practices in data science. Ensure data quality and integrity in all processes. Mentor and guide junior data scientists. Stay updated with the latest trends in data science. Minimum Qualifications Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience. Preferred Qualification Bachelors (or) Masters degree in a quantitative field (such as Analytics, Statistics, Mathematics, Economics or Engineering) or equivalent field experience. 5+ years of experience in a consumer credit or small business credit-related position, or 4+ years of experience in performing data management and analytics in the payments or in the e-commerce space. Candidate must have proven experience in the ideation, research, discovery, development, implementation, and ongoing monitoring of quantitative solutions for consumer credit or small business credit. Familiarity with data engineering, data management, data modelling, standard ETL techniques including extract, de-duping, cleansing, integration, and aggregation. Expertise in SQL, Python, Excel, PowerPoint and Data Visualization tools (e.g. Tableau, Power BI) Effective communication skills, in both written and verbal formats, with senior executive-level leaders. Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python Demonstrable competency in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests. Must have experience in dealing with outliers, denoising data and handling the impact of pandemic like situations. Should be able to perform EDA of raw data & feature engineering wherever applicable Demonstrable competency in Data Visualisation using the Python/R Data Science Stack. Should be able to leverage cloud platforms for training and deploying large scale solutions. Should be able to train and evaluate ML model using various machine learning and deep learning algorithm. Retrain and maintain model accuracy in deployment. Should be able to package & deploy large scale models on on-premise systems using multiple approaches including docker. Should be able to take complete ownership of the assigned project Experience of working in Agile environments Well versed with JIRA or equivalent project tracking tool. Knowledge of cloud platforms (AWS, Azure and GCP) Exposure to No SQL databases (MongoDB, Cassandra, Cosmos DB, HBase) Forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts) An experience with large data sets and distributed computing (Hive/Hadoop/Spark) Transfer learning using state of art models in different spaces vision, NLP and speech. - Integration with external services and Cloud API. Working with data annotation approaches and tools for text, images and videos