About Us: Neuron7.ai is a fast-growing AI-first SaaS company dedicated to building a category-defining service intelligence product. Backed by top VCs in Silicon Valley and a distinguished group of angel advisors/investors, we are recognized as a startup to watch. Our rapid traction with customers and in the marketplace underscores our mission: to empower enterprises to make accurate service decisions at scale. Our AI-driven platform delivers service predictions in seconds by analyzing both structured and unstructured data, alongside insights from leading experts. In complex service environments—such as high-tech devices, manufacturing, and medical devices—Neuron7.ai enables service leaders to excel in critical metrics like first-call resolution, turnaround time, and service margins. Learn more at <a>Neuron7.ai</a>. Why Join Us: At Neuron7.ai, you will be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and the drive to push boundaries. About the Team: Join a passionate group of professionals who are committed to leveraging AI for impactful service solutions. Our team fosters a culture of learning and growth, encouraging each member to contribute ideas and drive projects forward. What You’ll Do:<ul><li>Develop and implement advanced data models to derive insights from complex datasets.</li><li>Collaborate with cross-functional teams to identify data-driven solutions for service optimization.</li><li>Conduct experiments and analyses to improve service predictions and outcomes.</li><li>Present findings to stakeholders and make recommendations based on data insights.</li></ul> What We’re Looking For:<ul><li>4+ Years experience as a Data Scientist or similar role, preferably in an AI-driven environment.</li><li>Strong proficiency in data manipulation and analysis tools (e.g., Python, R, SQL).</li><li>Experience with machine learning frameworks and algorithms.</li><li>Familiarity with both structured and unstructured data sources.</li><li>Excellent problem-solving skills and the ability to communicate complex concepts to non-technical stakeholders.</li><li>A collaborative mindset and a passion for innovation.</li></ul> What We Do and Value: At Neuron7.ai, we value integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are committed to delivering excellence in everything we do. If you’re excited about using data to drive service intelligence and want to be part of a forward-thinking team, we’d love to hear from you! Company Perks & Benefits:<ul><li>???? Competitive salary, equity, and spot bonuses.</li><li>???? Paid sick leave.</li><li>???? Latest MacBook Pro for your work.</li><li>???? Comprehensive health insurance.</li><li>???? Paid parental leave.</li><li>???? Flexible work arrangements—work from home or our vibrant Bengaluru office.</li></ul> Our Commitment to Diversity and Inclusion: Neuron7.ai is dedicated to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital status, or any other characteristic protected by law. If you’re excited about using data to drive service intelligence and want to be part of a forward-thinking team, we’d love to hear from you!

About JoveoJOVEO stands for a job for everyone. That’s our mission - to deliver the right job to everyone in the world.We are the global leader in programmatic job advertising, driving innovative recruitment marketing solutions for employers. Harnessing AI, our platform delivers the most qualified candidates quickly and within budget, giving our customers a competitive edge.Joveo was founded in 2017 by a group of visionary entrepreneurs and enthusiastic problem solvers who foresaw the need for greater transparency and predictability in recruitment marketing. The focus was on building a cutting-edge technology platform that uses data and machine learning to enable employers, staffing agencies, RPOs, advertising agencies, and job sites to address this need better and more cost-effectively.Backed by marquee investors like Nexus Ventures Partners, Joveo has been featured in Inc. Magazine’s List of America’s Fastest-Growing Private Companies for three years in a row.We’re the global leader in programmatic job advertising driving next-gen recruitment technology solutions for employers around the world. Harnessing machine learning and industry expertise, our platform delivers the most relevant candidates in the shortest time, giving our customers a competitive edge.For more information, visit www.joveo.com Responsibilities:<ul><li>Act as an independent contributor, addressing real-world challenges by leveraging state-of-the-art capabilities and emerging technologies like LLM/GenAI/GPT.</li><li>Utilize extensive expertise in machine learning, statistics, and advanced mathematics to conceive, experiment, and design intelligent systems powered by GenAI.</li><li>Define pertinent performance metrics that accurately measure the value delivered to end-users through GenAI solutions.</li><li>Take charge of the entire ML pipeline, overseeing data pre-processing, model generation, cross-validation, and feedback sharing.</li><li>Provide advanced Data Science solutions to businesses through successful proof-of-concept implementations, facilitating the smooth transition of concepts into production.</li><li>Stay updated on the latest developments in Data Science, Machine Learning, and AI, offering insights on how Joveo can leverage these advancements.</li></ul> Qualifications:<ul><li>1-3 years of experience in developing, testing, and deploying Python-based applications on Azure/AWS platforms.</li><li>Demonstrated success in deploying ML projects within production systems, showcasing substantial individual contributions.</li><li>Expertise in data science models, including regression, classification, clustering, forecasting, recommender systems, NLP and others, spanning both basic ML models and deep learning models.</li><li>Familiarity with graph models and graph query languages.</li><li>Good understanding of Large Language Models.</li><li>Knowledge of Gen AI development tools and systems such as Hugging Face, Pinecone, LangChain, TensorFlow, and Torch.</li><li>Proficiency in database systems and schema design, covering both SQL and NoSQL databases.</li><li>Experience with big data platforms like Hadoop (Hive, Pig, Map Reduce, HQL), Spark is an added advantage.</li></ul>

About Joveo JOVEO stands for a job for everyone. That’s our mission - to deliver the right job to everyone in the world.We are the global leader in programmatic job advertising, driving innovative recruitment marketing solutions for employers. Harnessing AI, our platform delivers the most qualified candidates quickly and within budget, giving our customers a competitive edge.Joveo was founded in 2017 by a group of visionary entrepreneurs and enthusiastic problem solvers who foresaw the need for greater transparency and predictability in recruitment marketing. The focus was on building a cutting-edge technology platform that uses data and machine learning to enable employers, staffing agencies, RPOs, advertising agencies, and job sites to address this need better and more cost-effectively.Backed by marquee investors like Nexus Ventures Partners, Joveo has been featured in Inc. Magazine’s List of America’s Fastest-Growing Private Companies for three years in a row.We’re the global leader in programmatic job advertising driving next-gen recruitment technology solutions for employers around the world. Harnessing machine learning and industry expertise, our platform delivers the most relevant candidates in the shortest time, giving our customers a competitive edge.For more information, visit <a>www.joveo.com</a> Responsibilities:<ul><li>Execute the full Machine Learning lifecycle: feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.</li><li>Apply Supervised and Unsupervised Machine Learning techniques, including, Forecasting, Anomaly Detection, and Pattern Detection. </li><li>Utilize a range of algorithms such as Decision Trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, and Deep Learning.</li><li>Ensure compliance with regulatory standards for data handling and classification.</li><li>Proficiency in SQL and relational databases, along with experience in Big Data technologies (Spark/Hadoop) and Cloud technologies.</li><li>Conduct statistical and machine learning methods like A/B testing, experiment design, causal inference, and recommendation systems.</li><li>Define and develop Key Performance Indicators (KPIs) and create reports to measure the impact of tests, content releases, and product improvements.</li></ul> Qualifications:<ul><li>Preferred PhD or Master’s degree in engineering, technology, computer science, machine learning, operations research, statistics, mathematics, or equivalent quantitative field. Master's degree in Statistics, Economics, or a quantitative discipline, or equivalent practical experience is an added advantage.</li><li>4-6 years of experience as a statistician, or data scientist, including statistical data analysis with linear models, multivariate analysis, stochastic models, and sampling methods.</li><li>Sound knowledge of ETL practices, preferably using Spark in Data Bricks or similar cloud big data technologies like Microsoft Azure or AWS.</li><li>Experience with traditional and modern statistical techniques such as Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and Ensemble Methods.</li><li>Proficiency in analytical programming languages (Python or R) and SQL, along with experience in statistical software like R, Python, MATLAB, and pandas.</li><li>Strong understanding of machine learning models, feature engineering, validation, scaling, deployment, and monitoring.</li></ul> Additional Skills:<ul><li>Ability to work independently and in a team environment.</li><li>Strong problem-solving skills and attention to detail.</li><li>Excellent communication and presentation skills.</li><li>Proven track record of delivering high-quality data science solutions.</li><li>Experience with programming languages for ETL operations and data analysis, including Python, Java, C++, and R.</li></ul> This job requires a blend of technical expertise, statistical knowledge, and strong analytical skills to drive predictive science initiatives effectively. If you meet these qualifications and are passionate about leveraging data for impactful insights, we encourage you to apply.

Founded in the year 2017, CoffeeBeans specializes in offering high end consulting services in technology, product, and processes. We help our clients attain significant improvement in quality of delivery through impactful product launches, process simplification, and help build competencies that drive business outcomes across industries. The company uses new-age technologies to help its clients build superior products and realize better customer value. We also offer data-driven solutions and AI-based products for businesses operating in a wide range of product categories and service domains. We are seeking a highly skilled Data Scientist with a strong background in building AI-powered products using Large Language Models (LLMs) such as OpenAI's GPT models and Anthropic's Claude. In this role, you will leverage your expertise in deep learning, machine learning, and natural language processing (NLP) to develop and optimize scalable, innovative solutions for complex problems. Key Responsibilities:<ul><li>Analyze and interpret complex data sets using Python and SQL, providing insights that influence business decisions.</li><li>Design, implement, and maintain deep learning pipelines to build and optimize AI-powered products.</li><li>Collaborate with cross-functional teams to define data science needs, establish strategies, and develop scalable solutions using state-of-the-art LLMs.</li><li>Fine-tune and adapt LLMs to solve domain-specific problems, continually improving model performance and accuracy.</li><li>Conduct advanced research, experimentation, and iteration on LLM architectures, performance metrics, and deployment strategies.</li><li>Stay abreast of the latest developments in AI, machine learning, NLP, and LLM research, applying cutting-edge techniques to business challenges.</li></ul>Required Qualifications:<ul><li>Education: Bachelor’s degree in Computer Science, Data Science, or a related field from a top-tier institution (e.g., IIT).</li><li>Skills & Tools:</li><li>Strong proficiency in Python and SQL for data analysis, model development, and automation.</li><li>Hands-on experience working with LLMs such as OpenAI GPT, Anthropic's Claude, or similar.</li><li>Deep understanding of machine learning principles, natural language processing (NLP), and AI technologies.</li><li>Proven ability to develop, fine-tune, and deploy AI-powered products using LLMs.</li><li>Experience:</li><li>2+ years of experience in data science roles, with a focus on AI, machine learning, and large language models.</li><li>Demonstrated track record of developing and deploying products powered by machine learning and AI.</li></ul>Preferred Skills:<ul><li>Familiarity with cloud-based AI services like AWS SageMaker, Google AI Platform, or Azure Machine Learning.</li><li>Experience with MLOps tools such as MLflow, Kubeflow, or Airflow to streamline and scale machine learning workflows.</li><li>Knowledge of deep learning frameworks like TensorFlow or PyTorch.</li><li>Familiarity with model evaluation metrics and techniques to ensure continuous improvement and performance optimization.</li></ul>Work Hours:<ul><li>Flexibility to work during Chicago, US business hours, as required to collaborate with global teams.</li></ul>

Company Description Rȳbās Inc., based in Bangalore Urban, specializes in IT cost optimization solutions for enterprises. They offer business intelligence solutions to transform IT infrastructure into a self-financed, self-learning system. With rȳbās, enterprises can achieve significant cost savings ranging from 18% to 30% in the first year, with more savings for smaller enterprises. The company operates on a subscription model with 22 feature modules to choose from, catering to businesses of all sizes. Role Description This is a full-time on-site role for a Chief Data Scientist at Rȳbās Inc. in Bangalore Urban. The Chief Data Scientist will be responsible for leading data science initiatives, applying statistical analysis and pattern recognition to optimize IT costs, and developing analytical solutions to drive business intelligence and decision-making. Qualifications <ul><li>Computer Science and Data Science skills</li><li>Strong background in Statistics and Analytical Skills</li><li>Proficiency in Pattern Recognition</li><li>Excellent problem-solving and critical thinking abilities</li><li>Experience in machine learning and predictive modeling</li><li>Ability to work collaboratively and communicate effectively</li><li>Experience in IT cost optimization or business intelligence is a plus</li><li>Master's or Ph.D. in Computer Science, Data Science, Statistics, or related field</li></ul>

Job Description: We are seeking an experienced and results-driven Senior Data Scientist with a strong background in machine learning and forecasting to join our team. The ideal candidate will have expertise in building, maintaining, and improving demand forecasting models specifically for apparel and fashion brands. Key Responsibilities:<ul><li>Build, maintain, and continuously improve machine learning models for demand forecasting in the apparel and fashion industry.</li><li>Collaborate with cross-functional teams, including product managers, data engineers, and business analysts, to gather and understand business requirements.</li><li>Monitor model performance, adjust parameters, and improve accuracy and efficiency based on real-time data and feedback.</li><li>Work with large datasets to extract meaningful insights, trends, and recommendations that drive business decisions.</li><li>Create automated, scalable, and efficient processes for model deployment and updates.</li><li>Stay updated on the latest machine learning algorithms, tools, and techniques, applying relevant advancements to ongoing projects.</li></ul> Key Requirements:<ul><li>Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.</li><li>Experience: 6-8 years of overall experience, with at least 3 years focused on machine learning-based forecasting.</li><li>Domain Expertise: Proven experience in demand forecasting for apparel, fashion, or retail industries is a must.</li></ul> Technical Skills:<ul><li>Strong proficiency in programming languages such as Python, R, or similar.</li><li>Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).</li><li>Familiarity with time-series forecasting methods such as ARIMA, Prophet, LSTM, etc.</li><li>Knowledge of data manipulation and analysis tools like SQL, Pandas, and NumPy.</li><li>Experience with cloud platforms (AWS, GCP, or Azure) is a plus.</li><li>Analytical Skills: Ability to work with large datasets and build data-driven models that optimize business processes.</li><li>Communication: Strong communication skills to present complex models and insights to non-technical stakeholders.</li></ul>

Job Details -Mandatory Skills - Data Science, Gen AI, Python, Google Vertex AI and Cloud (AWS/Azure)Experience - 8+ YearsLocation - Bangalore, Pune, Mumbai, Chennai, KolkataNotice Period - Immediate to 60 Days only Responsibilities:<ul><li>Design develop and deploy scalable and reliable AI GenAI solutions using Python Google Vertex AI and Cloud Platforms products and services</li><li>Work with clients to understand their business needs and challenges and leverage statistics machine learning deep learning and Generative AI to create innovative and end to end solutions</li><li>Collaborate with team to ensure best practices and standards are followed and right solution defined Evaluate and benchmark the performance accuracy and scalability of the solutions using GCP services like Dataflow Functions PubSub Cloud Storage</li></ul> Skills:<ul><li>At least 8 years of solid work experience as a Data Scientist in designing AIML based solution for real world business problems</li><li>Must have solid theoretical understanding of the fundamentals of statistics machine learning deep learning Should be comfortable in exploring the mathematical aspects behind the algorithms</li><li>Highly Proficient in Python SQL Matplotlib Pandas etc Should be able to write production ready code Familiar with OOPS concept</li><li>Good to have understanding of parallel and distributed computing</li><li>Should have some idea of MLOPS and process of deployment of the model in production</li><li>Must have good understanding of GenAI theory tools and practices Well versed in RAG based solution approach Should have worked out at least one GenAI RAG based client project Nice to have any professional certification in GenAI</li><li>Excellent communication presentation and problem solving skills Ability to work independently and collaboratively in a fastpaced and dynamic environment</li></ul>

About Company : Condé Nast is a global media company, home to many of the world’s most respected and influential media properties including Vogue, The New Yorker, Vanity Fair, GQ, Glamour, AD, and Wired, among many others. With a footprint across 32 countries worldwide and total monthly visitors reaching more than 550 million, we aim to inspire, inform, and entertain our audiences through our portfolio of well known brands and award-winning content.The company is undertaking the biggest transformation in its history, driving towards expanding both its operations and its reach through diversifying the digital business models for our brands. Major areas of focus will include video and streaming platforms, increasing subscriptions and memberships, growing our events business, and ensuring we maintain a high level of standard on the products we are already proud of delivering to our customers. Consolidating to a more centralized set of technologies and capabilities that can be easily leveraged by any brand or product experience is also a top business priority. About the Condé Nast Global Product and Technology (GPT) Team As members of the GPT team, our mission is to empower our brands in achieving business goals and driving creative success. We are a team of experienced designers with expertise in visual design, user experience, interaction design, and research. We work closely with editorial, product management, engineering, and business partners to create the next generation of content publishing and consumption experiences—products that are as innovative as they are user-centric Responsibilities <ol><li>Understand the requirements of the project and iterate with the supervisor and business stakeholder continuously</li><li>Explain the business insights in a manner that business can understand it easily</li><li>Identify solutions from existing research and apply it efficiently for business problems</li><li>Apply state of the art Machine Learning,Deep Learning & RL techniques to solve a business problem</li><li>Build quick prototypes to check feasibility and present to supervisor/business</li><li>Articulate the solution approach to the problem in a clear, easy to understand manner</li><li>Work closely with data engineering/services/BI teams</li><li>Be a continuous and self-motivated learner and along with other data scientists take up new certifications, competitions, pet projects etc</li><li>Participate in ML/DL meetups actively</li></ol> Qualifications <ol><li>3-5 years of experience as a Data Scientist with at least 1 year of experience in deep learning</li><li>Bacherlor’s degree in any quants discipline - engineering or math/statistics and preferably a Masters degree in CS/IT/Statistics/MBA</li><li>Needs to have demonstrated active participation in competition sites such as Kaggle, AV etc with a decent performance track</li><li>Expert level proficiency in SQL, Python for data science or R</li><li>Expert level proficiency in libraries for data science - scikit-learn, pandas, numpy, matplotlib, pytorch/tensorflow/Keras etc</li><li>Experience in building customer propensity models for better targeting in marketing campaigns</li><li>Experience in building word/document embedding for different NLP related tasks</li><li>Needs to be a certified machine learning & deep learning professional(Online or fulltime courses)</li><li>Deep hands on proficiency in implementing in Deep learning models in any one of the areas -(LSTM, CNNs,GANS etc)</li><li>Deep hands on expertise in implementing traditional machine learning models such as Logistic/Linear Regression, KNN, Naive Bayes, various tree based bagging and boosting techniques, clustering etc</li></ol> Preferred Qualifications<ol><li>Experience with big data ecosystem such as Hadoop, Spark etc</li><li>Prior experience in e-commerce, mass media domain is a plus</li><li>Exposure in implementing Reinforcement Learning models</li><li>Experience in PySpark for data science in Databricks or Spark distribution</li><li>Experience in MLlib and dataframes</li></ol>

About Rapido We are India’s largest bike-taxi platform, steadily venturing into Auto, Delivery, Rental, and more. Currently, present in ~100 cities, we are growing close to ~50% year-on-year with steady funding. We have changed the concept of intra-city travel and made last-mile connectivity affordable to all. Along with being the #1 choice of 40 million people, we have also built a solid captain base of over 5 million registered captains, who have bettered their lives with Rapido. As an employer, we provide a lot of ownership to our team members providing multiple avenues for them to grow within the company. You will only grow with us with the right balance of ambition, fun, and transparent work culture! Opportunities don't happen, you create them! Job Summary: As a Senior Data Scientist your will be responsible for understanding product/business priorities, conducting opportunity analysis, defining product level metrics, setting metric targets, building data-driven hypothesis, and running high-quality experiments to hit those targets. A Senior Data Scientist should have an experienced of solving complex data analysis and machine learning problems in a real-world product setting. The role requires someone who is very comfortable working across teams, good at communicating and able to drive analysis and manage multiple streams. Your role would also require you to mentor junior Data Scientists in their learning and development. You will be part of a dynamic team and regularly work with colleagues from other verticals to co-ordinate and collaborate within an increasingly interconnected Data Science team here @ Rapido. Job Responsibilities: <ul><li>Translating business requirements into analytical solutions</li><li>Do hands-on data analysis, using statistical techniques</li><li>Pre-processing of structured and unstructured data</li><li>Should be able to steer direction related to improving data collection for analytical systems</li><li>Should be proficient in model development, validation and then roll-out</li><li>Understand business challenges and goals to formulate the approach for data analysis and model creation</li><li>Tune the model(s) to improve results provided over time</li><li>Create an analytics roadmap for the project</li><li>Collaborate with a technology/data engineering team to transfer the business understanding, get the model productionized and validate the output</li><li>Work in highly collaborative teams that strive to build quality systems and provide business value</li><li>Articulate insights and story telling for the senior management</li><li>Mentor Junior Data team members in their learning and development</li></ul> Job Requirements: <ul><li>Work experience - 4 years as a Data Scientist or equivalent position and overall 6 years</li><li>Masters or Ph.D. in Statistics, Math, CompSci, Econ, Physics, Engineering or related scientific disciplines; preferably from a premier scientific institute like ISI,IISC, IIIT, NIT etc</li></ul> <ul><li>Passion for understanding business problems and trying to address them by leveraging data - characterized by high-volume, high dimensionality from multiple sources</li><li>Experience with building predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques.</li><li>Worked in a big data environment before alongside a data engineering team (and data visualization team, data and business analysts)</li><li>Statistical knowledge - Proven experience in statistical methods like and not limited to Markov Models, Stochastic models, Bayesian Models, Classification Models, Cluster Analysis, Multivariate Stats, Regression Models, Ensemble Techniques</li><li>Machine Learning - Prior work experience in one or more of these knowledge areas (domain agnostic): Price Modeling, Demand Forecasting, Recommender Systems, User Profiling, Fraud Detectors</li><li>Experience in SQL is must</li><li>Technologies - Proficiency in Python (must have) and any other prog. language; Specific libraries may include - Scikit-learn, pandas, TensorFlow, Keras, Torch, Caffe, Theano, etc;</li><li>Experience of Pyspark is a plus</li><li>Experience with A/B Testing framework</li><li>Experience in managing a small team of data scientists is a plus</li></ul>What’s there for you?<ul><li>If you are excited to solve Complex Business problems at scale where you will cater to 10 million rides in a day across 100 cities, no better place to be.</li><li>You can go swimming in our 100s of TBs of data on self-managed databases</li><li>Opportunity to contribute in solving challenging problems like supply-demand matching, demand forecasting, ROI optimization, Segmentation, Causal Inference and many more.</li><li>We have a very flat hierarchy and collaboration is our success mantra</li><li>Chance to work with a lean team of highly talented and motivated people across all levels</li><li>You will be working with cross functional teams and have a great learning curve and business exposure.</li></ul> Excited to solve challenges? Join Rapido & chase bigger milestones too!

Data Scientist Jobs in Bangalore Urban, Karnataka

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October 7, 2024

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Senior Data Scientist
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Data Scientist Ii
September 19, 2024

Senior Data Scientist
September 17, 2024

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Data Scientist Jobs in Bangalore Urban, Karnataka

Data ScientistOctober 7, 2024

Data ScientistOctober 5, 2024

Senior Data Scientist Predictive ScienceOctober 5, 2024

Data ScientistOctober 5, 2024

Chief Data ScientistSeptember 30, 2024

Senior Data ScientistSeptember 27, 2024

Senior Data ScientistSeptember 20, 2024

Data Scientist IiSeptember 19, 2024

Senior Data ScientistSeptember 17, 2024

Quick filters

Top companies

Data Scientist
October 7, 2024

Data Scientist
October 5, 2024

Senior Data Scientist Predictive Science
October 5, 2024

Data Scientist
October 5, 2024

Chief Data Scientist
September 30, 2024

Senior Data Scientist
September 27, 2024

Senior Data Scientist
September 20, 2024

Data Scientist Ii
September 19, 2024

Senior Data Scientist
September 17, 2024