3325 Data Scientist Jobs - Page 16

You will be working as a Gen AI/ ML Data Scientist at Quadratyx, a global product-centric insight & automation services company. Your role will involve developing machine learning models for recommendation systems and NLP projects to provide actionable insights for product and service optimization. Additionally, you will be responsible for building and maintaining scalable ETL pipelines, optimizing data storage solutions, and ensuring data accuracy for analytics. Your skills in analyzing complex datasets to uncover trends and patterns will be crucial in generating insights that drive strategic decisions and enhance client services. Collaborating with product and service teams to understand data needs and translate them into technical solutions will also be a key aspect of your role. As a Gen AI/ ML Data Scientist, you will report to the Project Manager and work closely with stakeholders to deliver AI & Data Science Enterprise projects. Your technical skills should include proficiency in Python (Pandas, NumPy), SQL, and Java, along with experience in LLMs, Lang Chain, Generative AI technologies, ML frameworks (TensorFlow, PyTorch), and data engineering tools (Spark, Kafka). Strong data analysis skills, the ability to present findings to technical and non-technical stakeholders, and a good understanding of data engineering concepts are essential for this role. Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture, and API development will also be beneficial. To qualify for this position, you must have a Bachelor's Degree in Computer Science, Data Analytics, Engineering, or a related field, along with 4 to 6 years of experience in data science and data engineering. Strong critical thinking abilities, motivation, work ethic, maturity, personal initiative, and excellent oral and written communication skills are required. You should be adaptable to a fast-paced, dynamic work environment and demonstrate the ability to learn new technologies quickly. Quadratyx is an equal opportunity employer, and candidates will not be differentiated based on religion, caste, gender, language, disabilities, or ethnic group. The company reserves the right to place/move any candidate to any location globally, partner location, or customer location in the best interest of Quadratyx business. If you are interested in this opportunity, kindly email your profile to jobs@quadratyx.com.,

As a Senior Data Scientist, you will utilize your expertise in machine learning, data analysis, and emerging technologies such as LLMs and Gen AI to extract valuable insights from data. Your role involves identifying trends, patterns, and opportunities within structured and unstructured data sets. Proposing and validating AI/ML use cases based on business requirements and stakeholder needs will be a crucial aspect of your responsibilities. You will be responsible for building, evaluating, and deploying machine learning models for various tasks such as classification, regression, and clustering. Additionally, you will collaborate with cross-functional teams to develop intelligent solutions using LLMs and GenAI tools like chatbots, summarization, and content generation. Ensuring data quality, model interpretability, and ethical AI practices will be integral to your work. Documentation of experiments, sharing findings, and active participation in knowledge sharing within the team are also key responsibilities that you will undertake. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A minimum of 3-4 years of hands-on experience in data science and machine learning is required. Proficiency in Python and ML libraries, along with experience in data wrangling, feature engineering, and model evaluation, is essential. Familiarity with LLMs and GenAI tools such as Hugging Face, LangChain, and OpenAI APIs is preferred. Exposure to cloud platforms like AWS, GCP, or Azure, and version control systems like Git, will be advantageous. Strong communication and storytelling skills, coupled with a data-driven mindset, are qualities that will help you succeed in this role.,

You are one of the potential candidates our client TOP MNC Giant is seeking for the position of Data Scientist. They are looking for individuals with 4 to 8 years of experience in this field who can join immediately or within 7 days. The base locations for this role are Gurgaon and Bengaluru with a hybrid setup where you will work 3 days from the office. As a Data Scientist, you must possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Strong programming skills in languages like Python and SQL are essential. You should have experience in developing and deploying AI/ML and deep learning solutions using frameworks such as Scikit-learn, TensorFlow, and PyTorch. Familiarity with ETL and Datawarehouse tools like Azure Data Factory, Azure Data Lake, or Databricks is required. Your role will involve utilizing your knowledge of math, probability, and statistics along with a variety of ML algorithms. Experience in cloud infrastructure, especially Azure (Preferred), AWS, or GCP, is highly desirable. Exposure to Gen AI, Vector DB, and LLM (Large Language Model) will be an added advantage. Additional skills that are good to have include experience in Flask/Django, Streamlit, and MLOps tools like MLFlow, Kubeflow, and CI/CD Pipeline. Knowledge of Docker, Kubernetes, and collaborating with software engineers and business stakeholders to translate requirements into AI/ML solutions are also beneficial. Your responsibilities will include developing, implementing, and deploying AI/ML solutions, preprocessing and analyzing large datasets, evaluating and optimizing models, deploying applications in cloud environments, and monitoring the performance of models in production. Documenting the development processes and sharing knowledge for continuous improvement are also part of the role. If you are the perfect match for this job and can join immediately, please provide the following details along with your updated profile: - Total experience: - Relevant experience in Data Scientist: - Applying for Gurgaon and Bengaluru: - Open for Hybrid: - Current CTC: - Expected CTC: - Can join ASAP: Once we receive your updated profile with the above details, we will contact you for further proceedings. Thank you. Venkat Solti solti.v@anlage.co.in,

About the Role Gojek is a leading on-demand services company in Indonesia providing a variety of services like bike hailing, car hailing, food delivery, etc. We leverage cutting-edge technology and data-driven insights to deliver unparalleled user experiences and operational efficiency. If you’re a data scientist at heart, this role is for you! because you’ll be mining insights from the sea of data, building data products, and designing experiments with the ability to see the real-time impact of your contribution. As a Data Scientist at Gojek, you will be at the forefront of leveraging data to drive strategic and operational improvements. You will lead complex analytical projects, mentor junior data scientists, and collaborate with cross-functional teams to develop and implement data-driven strategies that enhance our service offerings and operational efficiency. What You Will Do Design and implement sophisticated statistical and machine learning models to solve complex business problems, optimize service delivery, and predict user behaviour. Use techniques such as deep learning, natural language processing, and time-series analysis. Partner with senior stakeholders, including product managers, engineers, and executives, to understand business objectives and translate them into actionable data insights. Provide strategic recommendations to drive business growth and operational excellence. Lead and mentor a team of data scientists and analysts. Provide guidance on best practices, model development, and analytical techniques. Foster a collaborative and high-performance environment within the data science team. Develop and enforce data governance and quality standards. Oversee data pipeline development, ensuring data accuracy, consistency, and accessibility. Advocate for and implement best practices in data management and analytics. Design and execute A/B tests and other experimentation methodologies to assess the impact of changes in product features, user interactions, and service delivery. Analyze results and make data-driven recommendations for optimization. Create high-impact visualizations and dashboards to communicate complex data insights to non-technical stakeholders. Present findings and recommendations in a clear, actionable manner to drive decision-making. Stay abreast of the latest trends and advancements in data science, machine learning, and analytics. Apply innovative techniques and tools to enhance analytical capabilities and contribute to the company’s competitive edge. What You Will Need Master’s in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced academic qualifications are highly desirable. 2-4 years of experience in data science or a related field, preferably within the on-demand services or technology industry. Expertise in programming languages such as Python, R, or Scala, as well as proficiency with data manipulation and visualization libraries (e.g., pandas, NumPy, matplotlib, seaborn). Understanding of statistical concepts and techniques, with experience applying them to real-world problems. Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences. A passion for learning and innovation, with a desire to stay ahead of the curve in the rapidly evolving field of data science and technology. Knowing the Following Would be a Bonus Experience with ride-hailing, quick commerce or food delivery domain. Experience working with unstructured or semi-structured data and human-in-the-loop data operations. Experience with distributed systems About the Team Our Data Science team currently consists of 40+ people based in India, Indonesia and Singapore who run Southeast Asia’s leading Gojek business. We oversee all things data and work to become a thought partner for our Business Users, Product Team, and Decision Makers. It’s our job to ensure that they have a structural approach to data-driven problem-solving. Right now, our focus revolves: how to make customers, drivers, and merchants happy and delighted. We have so far created millions of dollar impact across different journeys of customers, drivers and merchants We work with the Engineering, PMs and strategy functions hand-in-glove - be it constructing a new product or brainstorming on a problem like how do we reduce the wait time for the drive, how do we improve assortment, should we treat convenience seeking customer differently from value seeking customer etc As a team, we’re concerned not only with the growth of the company, but each other’s personal and professional growths, too. Along with us coming from diverse backgrounds, we often have fun sessions to talk about everything and anything from data information to our current movie list. About GoTo Group GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household. About Gojek Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market. About GoTo Financial GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last. GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels. #LI-HYBRID

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. Location: Chennai, India Team: Marketing Digital Transformation Job Type: Full-Time, Hybrid (In-Office 2-3/times per week mandatory) Experience Level: Mid-Level (5+ years) About the Role: We are seeking a highly skilled and motivated Data Scientist to join our team within the Marketing Digital Transformation organization. In this role, you will leverage your analytical skills, machine learning knowledge, statistical acumen and Gen AI-proficiency to uncover insights from marketing data and drive data-informed decision-making across campaigns, customer engagement, and digital experiences. Key Responsibilities: Apply statistical and machine learning techniques to solve real-world marketing problems (e.g., customer segmentation, churn prediction, marketing attribution). Design and analyze experiments, including A/B testing frameworks, to support marketing optimization efforts. Build, evaluate and deploy predictive models using Python and associated data science libraries Develop reproducible data science workflows and analysis in Jupyter Notebooks Translate complex data findings into actionable insights via compelling stories told over dashboards and visualizations Collaborate with marketing strategists, campaign managers, and other cross-functional stakeholders to define data needs and deliver impactful solutions Support our segmentation leads by performing targeted data analysis, identifying meaningful customer patterns, and contributing to the development and refinement of audience segments Work with structured and unstructured data; design and manage efficient data pipelines and database structures Evaluate data quality and propose improvements, including data cleaning strategies, enhanced data collection methods, and other initiatives to ensure reliable and actionable data. Collaborate closely with visualization engineers and data engineers to ensure seamless integration of data workflows, visualizations, and scalable data infrastructure. Key Qualifications: Education & Experience: Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related field. Minimum of 5 years of experience in a Data Science role, preferably with a focus on marketing or customer analytics Technical and Human Skills: Strong proficiency in Python for data analysis, statistical modeling, and machine learning Solid understanding of frameworks such as regression analysis, classification models, time series analysis, explainable ML/AI (e.g. SHAP), A/B testing, and experimental design Proficiency with SQL and strong understanding of data structures and databases Experience with Jupyter Notebooks is required; AWS Cloud Services/Snowflake experience is a plus (SageMaker, s3, Athena, Lambda…) Experience with Tableau or similar dashboarding/BI tool Knowledge of how to integrate Generative AI tools into data science workflows to enhance productivity, creativity, and insight generation Advanced professional proficiency in English, both written and verbal. Ability to work independently and collaboratively in a fast-paced, business-oriented, data-driven environment Strong communication skills with the ability to present and engage with non-technical stakeholders Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house. Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you! We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location. All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.

About the company: With over 2.5 crore customers, over 5,000 distribution points and nearly 2,000 branches, IndusInd Bank is a universal bank with a widespread banking footprint across the country. IndusInd offers a wide array of products and services for individuals and corporates including microfinance, personal loans, personal and commercial vehicles loans, credit cards, SME loans. Over the years, IndusInd has grown ceaselessly and dynamically, driven by zeal to offer our customers banking services at par with the highest quality standards in the industry. IndusInd is a pioneer in digital first solutions to bring together the power of next-gen digital product stack, customer excellence and trust of an established bank. Job Purpose: To work on implementing data modeling solutions To design data flow and structure to reduce data redundancy and improving data movement among systems defining a data lineage To work in the Azure Data Warehouse To work with large data volume of data integration Experience With overall experience between 10 to 15 years, applicant must have minimum 8 to 11 years of hard core professional experience in data modeling for large Data Warehouse with multiple Sources. Technical Skills Expertise in core skill of data modeling principles/methods including conceptual, logical & physical Data Models Ability to utilize BI tools like Power BI, Tableau, etc to represent insights Experience in translating/mapping relational data models into XML and Schemas Expert knowledge of metadata management, relational & data modeling tools like ER Studio, Erwin or others. Hands-on experience in relational, dimensional and/or analytical experience (using RDBMS, dimensional, NoSQL, ETL and data ingestion protocols). Very strong in SQL queries Expertise in performance tuning of SQL queries. Ability to analyse source system and create Source to Target mapping. Ability to understand the business use case and create data models or joined data in Datawarehouse. Preferred experience in banking domain and experience in building data models/marts for various banking functions. Good to have knowledge of – -Azure powershell scripting or Python scripting for data transformation in ADF - SSIS, SSAS, BI tools like Power BI -Azure PaaS components like Azure Data Factory, Azure Data Bricks, Azure Data Lake, Azure Synapse (DWH), Polybase, ExpressRoute tunneling, etc. -API integration Responsibility Understanding the existing data model, existing data warehouse design, functional domain subject areas of data, documenting the same with as is architecture and proposed one. Understanding existing ETL process, various sources and analyzing, documenting the best approach to design logical data model where required Work with development team to implement the proposed data model into physical data model, build data flows Work with development team to optimize the database structure with best practices applying optimization methods. Analyze, document and implement to re-use of data model for new initiatives. Will interact with stakeholder, Users, other IT teams to understand the eco system and analyze for solutions Work on user requirements and create queries for creating consumption views for users from the existing DW data. Will train and lead a small team of data engineers. Qualifications Bachelors of Computer Science or Equivalent Should have certification done on Data Modeling and Data Analyst. Good to have a certification of Azure Fundamental and Azure Engineer courses (AZ900 or DP200/201) Behavioral Competencies Should have excellent problem-solving and time management skills Strong analytical thinking skills Applicant should have excellent communication skill and process oriented with flexible execution mindset. Strategic Thinking with Research and Development mindset. Clear and demonstrative communication Efficiently identify and solves issues Identify, track and escalate risks in a timely manner Selection Process: Interested Candidates are mandatorily required to apply through the listing on Jigya. Only applications received through Jigya will be evaluated further. Shortlisted candidates may need to appear in an Online Assessment and/or a Technical Screening interview administered by Jigya, on behalf on IndusInd Bank Candidates selected after the screening rounds will be processed further by IndusInd Bank

Job Role: Data Scientist Job Description:  Proficiency in machine learning algorithms and frameworks, with specific expertise in LLMs such as BERT, ROBERTA, XLNet, GPT, and LLama.  Extensive knowledge of Natural Language Processing (NLP) techniques and methodologies.  Familiarity with deep learning fundamentals, including LSTM, CNN, and RNN architectures.  Hands-on experience in developing and deploying machine learning models using frameworks like Flask or Django.  Ability to analyze and preprocess large datasets efficiently.  Strong problem-solving skills and the ability to work independently or collaboratively in a team environment.  Excellent communication skills to articulate complex technical concepts effectively.  Keen interest in staying updated with the latest advancements in machine learning and artificial intelligence.  Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.  Prior experience in implementing scalable and efficient machine learning solutions would be advantageous.  Proficiency in deep learning fundamentals, with expertise in neural network architectures such as CNN, MobileNet, InceptionNet, VGG16, etc.  Extensive knowledge of image processing techniques, including segmentation and feature extraction.  Hands-on experience in developing and deploying deep learning models using TensorFlow and PyTorch libraries.  Familiarity with object detection algorithms like YOLO and object and instance segmentation methods.  Ability to process and analyze video data to derive meaningful insights and patterns.  Strong problem-solving skills and the ability to optimize and fine-tune deep learning models for performance and efficiency.  Excellent understanding of computer vision principles and techniques.  Effective communication skills to collaborate with cross-functional teams and stakeholders.  Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.  Prior experience in implementing scalable and efficient deep learning solutions for realworld applications would be advantageous. Job Types: Full-time, Permanent Pay: ₹180,000.00 - ₹240,000.00 per year Benefits: Cell phone reimbursement Paid sick time Paid time off Schedule: Day shift Fixed shift Morning shift Supplemental Pay: Performance bonus Ability to commute/relocate: Tirupati, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Location: Tirupati, Andhra Pradesh (Preferred) Work Location: In person

Job - Data Scientist (4+ yrs) Location- Bengaluru/Pune Responsibilities: Perform exploratory data analysis and various data analysis Build robust data pipeline jobs Design, implement and monitor Machine Learning models Conduct A/B testing Collaborate with cross-functional teams Required Qualifications : Proficiency in Python. Bachelors's degree in Mathematics, Statistics, or a related field. Strong proficiency in data analytics and statistical analysis Excellent problem-solving skills and ability to deliver actionable insights. Strong communication skills and ability to collaborate effectively with cross-functional teams. Preferred Qualifications: Proficiency in PySpark and SQL Master's degree in Mathematics, Statistics, or a related field. Experience building interactive dashboards by e.g. Dash or Streamlit. Experience with a code-based data orchestration framework such as Airflow, Luigi, Dagster or similar Knowledge of MLOps. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

About Us: At Artixio, we work at the intersection of regulatory science, healthcare data, and technology. We are building next-generation platforms and solutions that make regulatory information more accessible, structured, and actionable for global pharmaceutical, biologics, and medical device companies. We are looking for a Data Scientist who is passionate about solving complex problems through data-driven approaches and machine learning. Key Responsibilities: Analyze structured and unstructured regulatory and healthcare datasets to derive insights, patterns, and predictive models. Design, develop, and validate machine learning models for use cases such as classification, document processing, recommendation systems, and effort estimation. Work with NLP techniques to extract and normalize information from regulatory texts, product labels, and public databases. Develop data pipelines and workflows to clean, transform, and prepare datasets for analysis and modeling. Collaborate with cross-functional teams including software developers, regulatory experts, and product managers to implement data science solutions in real-world applications. Monitor model performance, conduct error analysis, and continuously improve algorithm accuracy and efficiency. Contribute to research, publications, or internal white papers around regulatory data science and analytics. Required Skills & Qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or related fields. 2–5 years of hands-on experience in data science or applied machine learning. Proficiency in Python and libraries such as pandas, scikit-learn, NumPy, TensorFlow, or PyTorch. Strong understanding of supervised and unsupervised learning, NLP techniques, and model evaluation metrics. Experience working with healthcare, life sciences, or regulatory datasets is a strong plus. Familiarity with data cleaning, feature engineering, and data visualization tools (e.g., matplotlib, seaborn, Power BI). Comfortable working in an agile, fast-paced environment with evolving data challenges. Preferred Attributes: Experience with large language models (LLMs), transformers, and foundation model fine-tuning. Background in text classification, named entity recognition (NER), or OCR-based document processing. Exposure to cloud platforms (AWS, GCP, or Azure) and MLOps practices is desirable. Curious, self-driven, and eager to explore new algorithms and technologies.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist – Predictive Forecasting Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role We are seeking a talented Data Scientist specializing in Statistical modelling, Predictive modelling, Time Series Forecasting to join our dynamic analytics team. The ideal candidate will have a strong background in statistical modeling and machine learning, with a focus on time series analysis. You will be responsible for developing predictive models for Business Cycles and Monthly Performance Monitoring, generating actionable insights from Forecasts, and driving business value through data-driven decision-making. Key tasks & accountabilities Develop and Implement Models: Design and implement and Maintain time series forecasting models to predict key business metrics. Utilize advanced statistical techniques and machine learning algorithms to improve model accuracy. Data Analysis and Insight Generation: Analyze large and complex datasets to identify trends, patterns, and anomalies. Generate actionable insights that inform business strategies and operational improvements. Collaborate with Cross-Functional Teams: Work closely with deployment and development data scientists, and other stakeholders to understand business needs. Communicate Findings: Present analysis results and insights to stakeholders in a clear and concise manner. Prepare reports, visualizations, and dashboards to communicate data findings. Continuous Improvement: Monitor model performance and implement enhancements as necessary. Stay updated with the latest developments in data science, machine learning, and time series forecasting. Qualifications, Experience, Skills Level Of Educational Attainment Required Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Previous Work Experience Minimum of 2 years of experience in data science or a related role. Proven experience with time series analysis and forecasting techniques is a plus Technical Skills Required Python (Data Structures, Control Flow, OOPs, Modules and Packages, Exception Handling, VENV) MLOPs Fundamentals (Model Development, VCS, CI, CD, Serving, Monitoring & Logging, Registry, Data and Model Lineage) Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow is a plus). Familiarity with data visualization tools (e.g., Power BI, matplotlib, plotly, streamlit). Data Analysis Tools - Pandas, Excel (Pivot Tables, Charts, Macros, Conditional Formatting, Shortcuts) Insights presentation - Powerpoint Version Control System (Git) - Basic Commands, Branching and Merging, Pull Requests & Code Reviews Other Skills Required Excellent problem-solving and analytical skills. Strong communication and presentation abilities. Ability to work collaboratively in a team environment. And above all of this, an undying love for beer! We dream big to create future with more cheers.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. Location: Chennai, India Team: Marketing Digital Transformation Job Type: Full-Time, Hybrid (In-Office 2-3/times per week mandatory) Experience Level: Mid-Level (5+ years) About the Role: We are seeking a highly skilled and motivated Data Scientist to join our team within the Marketing Digital Transformation organization. In this role, you will leverage your analytical skills, machine learning knowledge, statistical acumen and Gen AI-proficiency to uncover insights from marketing data and drive data-informed decision-making across campaigns, customer engagement, and digital experiences. Key Responsibilities: Apply statistical and machine learning techniques to solve real-world marketing problems (e.g., customer segmentation, churn prediction, marketing attribution). Design and analyze experiments, including A/B testing frameworks, to support marketing optimization efforts. Build, evaluate and deploy predictive models using Python and associated data science libraries Develop reproducible data science workflows and analysis in Jupyter Notebooks Translate complex data findings into actionable insights via compelling stories told over dashboards and visualizations Collaborate with marketing strategists, campaign managers, and other cross-functional stakeholders to define data needs and deliver impactful solutions Support our segmentation leads by performing targeted data analysis, identifying meaningful customer patterns, and contributing to the development and refinement of audience segments Work with structured and unstructured data; design and manage efficient data pipelines and database structures Evaluate data quality and propose improvements, including data cleaning strategies, enhanced data collection methods, and other initiatives to ensure reliable and actionable data. Collaborate closely with visualization engineers and data engineers to ensure seamless integration of data workflows, visualizations, and scalable data infrastructure. Key Qualifications: Education & Experience: Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related field. Minimum of 5 years of experience in a Data Science role, preferably with a focus on marketing or customer analytics Technical and Human Skills: Strong proficiency in Python for data analysis, statistical modeling, and machine learning Solid understanding of frameworks such as regression analysis, classification models, time series analysis, explainable ML/AI (e.g. SHAP), A/B testing, and experimental design Proficiency with SQL and strong understanding of data structures and databases Experience with Jupyter Notebooks is required; AWS Cloud Services/Snowflake experience is a plus (SageMaker, s3, Athena, Lambda…) Experience with Tableau or similar dashboarding/BI tool Knowledge of how to integrate Generative AI tools into data science workflows to enhance productivity, creativity, and insight generation Advanced professional proficiency in English , both written and verbal. Ability to work independently and collaboratively in a fast-paced, business-oriented, data-driven environment Strong communication skills with the ability to present and engage with non-technical stakeholders #LI-MR2 Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house. Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you! We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location. All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.

We are looking for a highly skilled and motivated Data Scientist to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to develop data-driven solutions that enhance business decisions. You will collaborate with cross-functional teams to identify opportunities, build predictive models, and communicate insights effectively. Key Responsibilities: Anayze large volumes of data to identify trends, patterns, and actionable insights. Develop and implement machine learning models and algorithms to solve business problems. Work closely with product, engineering, and business teams to understand goals and translate them into data solutions. Create dashboards, visualizations, and reports to present findings to stakeholders. Clean, preprocess, and validate data to ensure accuracy and reliability. Conduct A/B testing and statistical analysis to support decision-making. Continuously improve model performance and monitor deployed models. Stay updated with the latest trends and advancements in data science, AI, and machine learning. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. Proven experience (0 - 3+ years) as a Data Scientist or in a similar role. Strong proficiency in Python or R, and SQL. Experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Knowledge of data visualisation tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). Solid understanding of statistical analysis and modelling techniques. Experience with big data tools (e.g., Hadoop, Spark) is a plus. Excellent problem-solving and communication skills. Contact Person: Rakesh HR Contact Number: 9003745749 Experience: 0 - 3+ Years Location: Coimbatore Timings: 09.30 Am - 06.30 Pm Job Types: Full-time, Permanent, Fresher Pay: ₹582,971.60 - ₹1,546,972.79 per year Benefits: Health insurance Provident Fund

Overview: We are looking for a passionate and detail-oriented Data Scientist with 1–2 years of hands-on experience in data science, machine learning, and deep learning. The ideal candidate will have practical exposure to real-world projects involving RAG systems, computer vision, and cloud deployment, and will be eager to contribute innovative solutions in a dynamic environment. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models for real-world business challenges. Work on projects involving RAG systems (Retrieval-Augmented Generation), computer vision, and large-scale data applications. Develop and maintain ML pipelines, ensuring scalability and performance. Deploy solutions on cloud platforms such as GCP, Azure, or AWS. Collaborate with cross-functional teams to understand requirements and deliver data-driven insights and solutions. Implement and monitor experiments, ensuring reproducibility with tools like MLflow and Langfuse. Build intuitive dashboards and prototypes using Streamlit or similar tools. Ensure smooth integration of ML models into applications using Flask, FastAPI, or Django. Required Skills: Programming Languages: Python, SQL Data Science Frameworks & Tools: TensorFlow, PyTorch, MLflow, LangChain, Langfuse, Flowise, Hugging Face Transformers, Streamlit Frameworks for Integration: Flask, FastAPI, Django Cloud Platforms: GCP, Azure, or AWS (any) Good to Have Skills: Experience with no-code tools for rapid prototyping. Familiarity with OpenAI SDK and Google Agent SDK. Who You Are A problem-solver with strong analytical and logical thinking skills. A fast learner who enjoys keeping up with the latest AI/ML advancements. A collaborative team player with excellent communication skills. Company Name: Blue Data Consulting & IT Services Pvt Ltd. Employment Type: Full-time Working Hours: 9:30am to 5:30pm Working Days: Monday to Friday Work Mode: Work From Office Location: International Finance Centre, VIP Road, Vesu, Surat, Gujarat Job Types: Full-time, Permanent Benefits: Health insurance Leave encashment Ability to commute/relocate: Vesu, Surat, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Experience: Data science: 1 year (Preferred) Work Location: In person

Key Skills We’re Looking For Machine Learning Mastery Strong experience with regression, classification, clustering, regularization, and model tuning. Familiarity with CNNs, RNNs, Transformers is a plus. Python Programming Proficiency in NumPy, Pandas, Scikit-learn. Ability to build ML models from scratch and write clean, production-grade code. SQL & Data Handling Able to query large datasets efficiently and apply rigorous data validation. Statistical & Analytical Thinking Solid grasp of hypothesis testing, confidence intervals, and interpreting results in business context. ML System Design Experience building ML pipelines and deploying models in production (REST APIs, batch jobs, etc.). Understanding of monitoring and retraining models post-deployment. 🚀 Bonus If You Have: Experience with distributed data processing (Spark, Dask, etc.) MLOps tools like MLflow, Airflow, or SageMaker Exposure to cloud platforms (AWS, Azure, GCP)

Role : Data Scientist/ML Engineer Must-Have Programming- Python, Machine Learning, Data wrangling, Strong Statistical & Mathematical skills Strong Hands-on experience in GenAI (LLMs, Prompting & RAG) based solutions Strong knowledge in Data Engineering – Extraction, Pre-processing and managing various types of data (structured, semi & un-structured data) Hands-on experience in handling various storages – RDBMs, Vector DB, File storage & Cloud storages services Good-to-Have Cloud providers like AWS, Azure or GCP BI tools – Tableau & Power BI is nice to have Desired Experience Range : 8-12 Years Location of Requirement : Mumbai, Chennai, Hyderabad Responsibility of / Expectations from the Role Data Scientist responsibilities: - Expertise in designing, building & delivering end-to-end AI/GenAI based solutions to solve a customer problem - Sound knowledge on various ML algorithms and strong mathematical & statistical background - - Research and implement appropriate ML algorithms and tools as per requirements - Expert in statistical modeling, machine learning, data mining, Predictive/ Classification Models for structured data, cluster Analysis Experience on NLP/Topic Modeling/Text Analytics, Deep Learning and/or Computer Vision - Expertise in Scripting & programming (Python) - Provide technical leadership to our team by reviewing problem sets, proposing prediction models, and reviewing experiments and models. High Proficiency in the following technologies: ML Algorithms, ML Models, Statistics and Data Visualization tools Gen AI & Prompt Engineering Knowledge of Agentic AI Experience working with the following platforms: Python

Overview: We are looking for a passionate and detail-oriented Data Scientist with 1–2 years of hands-on experience in data science, machine learning, and deep learning. The ideal candidate will have practical exposure to real-world projects involving RAG systems, computer vision, and cloud deployment, and will be eager to contribute innovative solutions in a dynamic environment. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models for real-world business challenges. Work on projects involving RAG systems (Retrieval-Augmented Generation), computer vision, and large-scale data applications. Develop and maintain ML pipelines, ensuring scalability and performance. Deploy solutions on cloud platforms such as GCP, Azure, or AWS. Collaborate with cross-functional teams to understand requirements and deliver data-driven insights and solutions. Implement and monitor experiments, ensuring reproducibility with tools like MLflow and Langfuse. Build intuitive dashboards and prototypes using Streamlit or similar tools. Ensure smooth integration of ML models into applications using Flask, FastAPI, or Django. Required Skills: Programming Languages: Python, SQL Data Science Frameworks & Tools: TensorFlow, PyTorch, MLflow, LangChain, Langfuse, Flowise, Hugging Face Transformers, Streamlit Frameworks for Integration: Flask, FastAPI, Django Cloud Platforms: GCP, Azure, or AWS (any) Good to Have Skills: Experience with no-code tools for rapid prototyping. Familiarity with OpenAI SDK and Google Agent SDK. Who You Are A problem-solver with strong analytical and logical thinking skills. A fast learner who enjoys keeping up with the latest AI/ML advancements. A collaborative team player with excellent communication skills. Company Name: Blue Data Consulting & IT Services Pvt Ltd. Employment Type: Full-time Working Hours: 9:30am to 5:30pm Working Days: Monday to Friday Work Mode: Work From Office Location: International Finance Centre, VIP Road, Vesu, Surat, Gujarat Job Types: Full-time, Permanent Benefits: Health insurance Leave encashment Ability to commute/relocate: Vesu, Surat, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Experience: Data science: 1 year (Preferred) Work Location: In person

About Company : Our client is a global technology cons,ulting and digital solutions company, resulting from the merger . It focuses on helping businesses leverage digital technologies to reimagine business models, accelerate innovation, and drive growth. The company provides services across various industries, including digital transformation, consulting, and application development. Role: Data Scientist Experience : 9-12 Location :Gurugram I nterview Mode : virtual Work mode : Hybrid Job type : C2H Immediate Joiner's :15 Day's Mandatory Experience :9 Mandatory Skills: building ML Models. SQL, Python, PySpark, Spark ML language.AWS,code controls , Github.,Auto ML products , DataRobot / H2O AI. JD: Primary skills: • Solid experience in building ML Models. • Proficient in SQL, Python, PySpark, Spark ML language. • Good understanding of cloud platforms such as AWS (preferred), Azure or GCP. • Proficient in source code controls using Github. Secondary skills: • Experience using any Auto ML products like DataRobot / H2O AI. • Provide inputs to build Artificial Intelligence (AI) roadmap for marketing based on TE&O architecture and capability delivery timelines. • Accountable for identifying, embedding, promoting, and ensuring continuous improvement within the use of new data and advanced analytics across the teams

About Company : Our client is prominent Indian multinational corporation specializing in information technology (IT), consulting, and business process services and its headquartered in Bengaluru with revenues of gross revenue of ₹222.1 billion with global work force of 234,054 and listed in NASDAQ and it operates in over 60 countries and serves clients across various industries, including financial services, healthcare, manufacturing, retail, and telecommunications. The company consolidated its cloud, data, analytics, AI, and related businesses under the tech services business line. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru, kochi, kolkatta, Noida. Job Title: Data Scientist Location: Gurgaon Experience: 9-12 Job Type : Contract to hire. Notice Period: Immediate joiners. Mandatory Skills: ML Models SQL, Python, PySpark, Spark ML language. Auto ML products Job Description: Primary skills: • Solid experience in building ML Models. • Proficient in SQL, Python, PySpark, Spark ML language. • Good understanding of cloud platforms such as AWS (preferred), Azure or GCP. • Proficient in source code controls using Github. Secondary skills: • Experience using any Auto ML products like DataRobot / H2O AI. • Provide inputs to build Artificial Intelligence (AI) roadmap for marketing based on TE&O architecture and capability delivery timelines. • Accountable for identifying, embedding, promoting, and ensuring continuous improvement within the use of new data and advanced analytics across the teams

About Company : They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society. About Client: Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (₹35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations. Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (₹4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines. Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries. Job Title:- -Data Scientist Location : Gurugram Experience : 10+Years Job Type : Contract to hire. Notice Period :- Immediate joiners. Mandatory Skills : Data Scientist, PySpark, ML Models, Python, SQL, AWS JD Primary skills: • Solid experience in building ML Models. • Proficient in SQL, Python, PySpark, Spark ML language. • Good understanding of cloud platforms such as AWS (preferred), Azure or GCP. • Proficient in source code controls using Github. Secondary skills: • Experience using any Auto ML products like DataRobot / H2O AI. • Provide inputs to build Artificial Intelligence (AI) roadmap for marketing based on TE&O architecture and capability delivery timelines. • Accountable for identifying, embedding, promoting, and ensuring continuous improvement within the use of new data and advanced analytics across the teams

Company Description CloudAliv Consulting Services aids organizations in accelerating their digital transformation through DevOps and AI-driven solutions. Specializing in automation, continuous delivery, and intelligent operations, CloudAliv optimizes infrastructure and streamlines workflows to enable faster innovation. Our services range from CI/CD pipeline setup and infrastructure as code to AI-driven monitoring and predictive analytics. We empower teams to build scalable systems with embedded intelligence using machine learning and data-driven insights. Supported by certified DevOps engineers and AI specialists, CloudAliv offers end-to-end support to ensure systems remain efficient and adaptive. Role Description This is a full-time hybrid role located in Hyderabad with some work-from-home flexibility. As a Data Scientist, you will analyze complex data sets to derive meaningful insights, develop data-driven models, and create advanced algorithms. Responsibilities include performing data analytics, data visualization tasks, and collaborating with cross-functional teams to implement data-driven solutions. You will also contribute to statistical model development and use predictive analytics to inform decision-making processes. Qualifications Skills in Data Science and Data Analysis Proficiency in Data Analytics and Data Visualization Strong foundation in Statistics Excellent problem-solving abilities and analytical thinking Experience with machine learning and predictive modeling Ability to work both independently and as part of a team Master's degree or higher in Data Science, Statistics, Computer Science, or a related field Experience in the technology consulting industry is a plus

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Data Science Advisor on our Data Science Team in Bangalore/Hyderabad What you’ll achieve As a Data Science Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: Solve business and customer problems utilizing LLM//Agents and traditional AI/ML Build prototypes and scalable AI/ML solutions that will be integrated into software productsC Collaborate with software engineers, business stakeholders and product owners in an Agile environment Have complete ownership of model outcomes and drive continuous improvement Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements Proficient withwriting sophisticated, clean, and object orientedPython code Strong background in math, statistics, and machine Learning knowledge (deep learning, NLP, classification, forecasting, regression) Professional experience in ML model deployment in production Ability to work with internal stakeholders to transfer business questions into data science problem statements Desirable Requirements Master’s or PhD in a quantitative discipline. Professional experience with LLM/Agentic technologies Who we are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 30-August-25 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Job ID: R274672

We are seeking a skilled and motivated Data Scientist with 1-3 years of experience to join our team. The successful candidate will develop and enhance machine learning (ML) models to analyze user interaction data collected through a mobile game application. This role will also involve contributing to research efforts to improve our models by incorporating additional data sources, such as facial expressions and gaze data from video content captured within the app. Key Responsibilities Model Development : Design, develop, and implement machine learning models to process and analyze finger kinetics data collected from a mobile game application. Data Analysis : Perform exploratory data analysis to identify patterns and insights from user interaction data, ensuring high-quality model inputs. Research & Innovation : Collaborate with cross-functional teams to research and integrate facial expression and gaze data from video content to enhance model performance and application capabilities. Model Optimization : Optimize ML models for accuracy, scalability, and efficiency, ensuring robust performance in a production environment. Data Pipeline Development : Build and maintain data pipelines to process and transform raw data into formats suitable for model training and evaluation. Experimentation : Conduct experiments to test hypotheses, validate model performance, and iterate on model designs based on results. Collaboration : Work closely with software engineers, product managers, and domain experts to integrate ML models into the game application and ensure seamless functionality. Documentation : Document model development processes, research findings, and technical specifications to support team collaboration and knowledge sharing. Qualifications Education : Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics, or a related field. Experience : 1-3 years of experience in data science, machine learning, or a related role, preferably in a health tech or consumer-facing application environment. Technical Skills : Proficiency in Python or R for data analysis and model development. Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Familiarity with data processing tools and libraries (e.g., pandas, NumPy). Knowledge of computer vision techniques for analyzing facial expressions and gaze data is a plus. Understanding of statistical methods and data visualization tools (e.g., Matplotlib, Seaborn). Soft Skills : Strong problem-solving skills and a curiosity-driven approach to research. Excellent communication skills to present complex technical concepts to non-technical stakeholders. Ability to work collaboratively in a fast-paced, interdisciplinary team environment. Nice-to-Have : Experience with mobile application data or health-related datasets. Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for model deployment. Knowledge of experimental design and A/B testing methodologies.

Data Science Advisor Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Data Science Advisor on our Data Science Team in Bangalore/Hyderabad What You’ll Achieve As a Data Science Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: Solve business and customer problems utilizing LLM//Agents and traditional AI/ML Build prototypes and scalable AI/ML solutions that will be integrated into software products C Collaborate with software engineers, business stakeholders and product owners in an Agile environment Have complete ownership of model outcomes and drive continuous improvement Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements Proficient with writing sophisticated, clean, and object oriented Python code Strong background in math, statistics, and machine Learning knowledge (deep learning, NLP, classification, forecasting, regression) Professional experience in ML model deployment in production Ability to work with internal stakeholders to transfer business questions into data science problem statements Desirable Requirements Master’s or PhD in a quantitative discipline. Professional experience with LLM/Agentic technologies Who We Are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 30-August-25 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here. Job ID: R274672

As a Data Scientist, you will be responsible for analyzing large and complex datasets to identify trends, patterns, and insights. Your main tasks will include developing and implementing machine learning models for prediction, classification, and clustering using Python libraries such as scikit-learn, TensorFlow, or PyTorch. Additionally, you will perform statistical analysis and hypothesis testing to validate findings and draw meaningful conclusions. Your role will also involve designing and implementing data visualization dashboards and reports using Python libraries like Matplotlib, Seaborn, or Plotly to effectively communicate insights. Collaboration with cross-functional teams to understand business requirements and translate them into data science solutions is a key aspect of this position. You will also be responsible for building and deploying scalable data pipelines using Python and related tools. To excel in this role, you should have proven experience as a Data Scientist or in a similar role, ideally with 2+ years of experience. Strong programming skills in Python and familiarity with relevant data science libraries such as Pandas, NumPy, and Scikit-learn are essential. A solid understanding of statistical concepts, machine learning algorithms, and data modeling techniques is required. Furthermore, experience in data visualization using Python libraries like Matplotlib, Seaborn, and Plotly is important. You should be adept at working with large datasets, performing data cleaning, preprocessing, and feature engineering. Strong problem-solving and analytical skills are also crucial for success in this role. Excellent communication and presentation abilities are necessary to effectively communicate complex data insights and findings to both technical and non-technical audiences. A Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related area is preferred. Experience with big data technologies like Spark and Hadoop, familiarity with cloud platforms such as AWS, Azure, and GCP, and knowledge of deep learning frameworks like TensorFlow and PyTorch are all valuable assets. Additionally, experience with database technologies (SQL and NoSQL) and deploying machine learning models into production will be beneficial for this role. Stay updated with the latest advancements in data science, machine learning, and Python libraries to continuously enhance your skills and knowledge.,

JOB DESCRIPTION -DATA SCIENTIST Role: Data Scientist Experience: 5 to 10 Years Work Mode: Remote Immediate Joiners Preferred Required Skills & Qualification: An ideal candidate will have experience, as we are building an AI-powered workforce intelligence platform that helps businesses optimize talent strategies, enhance decision-making, and drive operational efficiency. Our software leverages cutting-edge AI, NLP, and data science to extract meaningful insights from vast amounts of structured and unstructured workforce data. As part of our new AI team, you will have the opportunity to work on real-world AI applications, contribute to innovative NLP solutions, and gain experience in building AI-driven products from the ground up. Required Skills & Qualification • Strong experience in Python programming • 5-10 years of experience in Data Science/NLP (Freshers with strong NLP projects are welcome). • Proficiency in Python, PyTorch, Scikit-learn, and NLP libraries (NLTK, SpaCy, Hugging Face). • Basic knowledge of cloud platforms (AWS, GCP, or Azure). -Retrieval, Machine Learning, Artificial Intelligence, Generative AI, Semantic search, Reranking & evaluating search performance. • Experience with SQL for data manipulation and analysis. • Assist in designing, training, and optimizing ML/NLP models using PyTorch, NLTK, Scikit- learn, and Transformer models (BERT, GPT, etc.). • Familiarity with MLOps tools like Airflow, MLflow, or similar. • Experience with Big Data processing (Spark, Pandas, or Dask). • Help deploy AI/ML solutions on AWS, GCP, or Azure. • Collaborate with engineers to integrate AI models into production systems. • Expertise in using SQL and Python to clean, preprocess, and analyze large datasets. • Learn & Innovate – Stay updated with the latest advancements in NLP, AI, and ML frameworks. • Strong analytical and problem-solving skills. • Willingness to learn, experiment, and take ownership in a fast-paced startup environment. Nice to Have Requirements for the Candidate • Desire to grow within the company • Team player and Quicker learner • Performance-driven • Strong networking and outreach skills • Exploring aptitude & killer attitude • Ability to communicate and collaborate with the team at ease. • Drive to get the results and not let anything get in your way. • Critical and analytical thinking skills, with a keen attention to detail. • Demonstrate ownership and strive for excellence in everything you do. • Demonstrate a high level of curiosity and keep abreast of the latest technologies & tools • Ability to pick up new software easily and represent yourself peers and co-ordinate during meetings with Customers. What We Offer: - We offer a market-leading salary along with a comprehensive benefits package to support your well-being. -Enjoy a hybrid or remote work setup that prioritizes work-life balance and personal wellbeing. -We invest in your career through continuous learning and internal growth opportunities. -Be part of a dynamic, inclusive, and vibrant workplace where your contributions are recognized and rewarded. -We believe in straightforward policies, open communication, and a supportive work environment where everyone thrives. About the Company: https://predigle.com/ https://www.espergroup.com/ Predigle, an EsperGroup company, focuses on building disruptive technology platforms to transform daily business operations. Predigle has expanded rapidly to offer various products and services. Predigle Intelligence (Pi) is a comprehensive portable AI platform that offers a low-code/no-code AI design solution for solving business problems.