1342 Data Scientist Jobs - Page 44

We are looking for a dedicated Principal Clinical Data Scientist to oversee all aspects of data management, coding, CDD, and DAP for several studies or medium to large-sized projects. This role is crucial in ensuring that pharmaceutical drug development plans at Novartis Global Drug Development are executed efficiently with high-quality deliverables. The successful candidate will conceptualize and implement scalable training delivery models and platforms, follow and oversee Good Clinical Practices (GCP), and ensure consistency across assigned programs to aid efficiencies for submissions. Key Responsibilities: - Lead functional activities for medium to large-sized projects in phase I to IV clinical studies within the Novartis Global Development Organization. Coordinate activities of Data Managers, both internally and externally. Make data management decisions and propose strategies at the study or project level. Ensure the application of consistent data management processes, increasing standardization and documentation across assigned projects/programs. Provide and implement data management solutions, ensuring knowledge sharing. Lead process and training deliverables within multiple platforms, franchises, or therapeutic areas, developing strategies for effective training and knowledge retention. Represent Data Operations (DO) in all audits and inspections, centralizing and aligning the team in audit preparation, readiness, and response. Essential Requirements:- Proven experience in clinical data management, data architecture, data governance, data integration, data profiling, data quality, data science, data strategy, and master data. Strong project management skills with the ability to manage multiple tasks and projects simultaneously. Cross-cultural experience and functional breadth in managing clinical data management activities. Ability to recognize and resolve protocol issues that may impact database design, data validation, and analysis/reporting. Excellent communication and interpersonal skills to build and maintain effective working relationships with cross-functional teams. Proficiency in using data management tools to generate listings for data review and provide these to study teams.

Join our dynamic and innovative global Computer-Aided Drug Discovery (CADD) group, now expanding to India! Be a part of our Hyderabad team, where we unite diverse talents to revolutionize the validation and development of new targets in Biomedical Research. As a driving force behind drug discovery, we are excited to find an exceptional computational scientist like you to join our global ranks. Imagine the opportunity to unlock hidden knowledge and disruptive insights from the vast and invaluable data collected by one of the worlds most renowned pharmaceutical companies. We need your expertise, experience, and unwavering passion to help us extract this wealth of information. Collaborating with a multidisciplinary group of scientists, you will be at the forefront of crafting inventive solutions to the most pressing drug discovery challenges, forging new paths toward groundbreaking medicines. Are you'ready to seize this extraordinary chance to make a significant impact in the field of drug discoveryWe invite you to embark on this thrilling journey with us, as we push the boundaries of whats possible in scientific exploration. Join our team and be part of a revolution that will shape the future of medicine. Together, we will transform the landscape of drug discovery, accelerate breakthroughs, and change lives. Apply now and let your expertise shine in our dynamic and forward-thinking environment. About the Role Your Responsibilities Include : Drive the design of medicinal chemistry efforts by applying in-depth knowledge of structure-activity relationships (SAR), a profound understanding of target biology, and predictive methods for assessing on- and off-target activity, physical properties, pharmacokinetics / pharmacodynamics (PK/PD), and synthetic feasibility. Thrive at the intersection of experimental and groundbreaking digital technologies, with a particular emphasis on expertise in machine learning and artificial intelligence (AI) as applied to small molecule drug discovery. Stay abreast of scientific literature and engage with internal and external scientists to incorporate biological insights into lead characterization and screening initiatives. Collaborate with interdisciplinary project teams to facilitate effective decision-making throughout the target identification to candidate nomination process. This involves applying and developing predictive models based on high-content and time-resolved screening data, including imaging techniques. Drive hypothesis generation to enhance clinical success rates for programs involving small molecules, peptides, RNAs, protein degradation, molecular glues, transient covalent inhibitors, and kinetic stabilization of drug-target complexes. Take a leading role in cross-disciplinary mechanistic studies using physics-based modeling and simulation, biophysical characterization, and cellular validation. These studies will inform the strategic targeting strategies of discovery projects, aiming for optimal mechanisms of action (MoAs). Minimum Requirements: Advanced degree in medicinal chemistry, computational chemistry, computational biology, computational chemical biology, or a related field. Candidates with a laboratory-based background in chemistry and biology, supplemented with strong computational experience, are also encouraged to apply. 5+ years of experience working with project teams in a drug discovery environment. Proven track record of innovation through analogue design, leading to significant impact on discovery projects. Familiarity with drug design tools and high-performance computing environments and strong publication history in peer-reviewe'd journals. Skills and Abilities: Proactively anticipates project needs with a clinical focus. Demonstrates rigor and diligence in idea substantiation, analogue design, and experimentation. Strong team orientation with multitasking and adaptability in support and leadership roles. Effective listener with excellent written and oral communication skills. Proficient in data visualization to effectively communicate insights.

Contribute your talents to high-end, esteemed brands like JBL, Mark Levinson and Revel Unite your passion for audio innovation with high-tech product development Create pitch-perfect, cutting-edge technology that elevates the listening experience What You Will Do End to end machine learning lifecycle management on Sagemaker Model training tracking using MLFLow Model Monitoring Sagemaker Pipelines building Experience in using Sagemaker ground truth for optimised collection of annotated data (Plus) . Cost and performance optimization What You Need to Be Successful Experience working in cross-functional teams and collaborating effectively with different stakeholders. Strong problem-solving and analytical skills. Excellent communication skills to document and present technical concepts clearly. What Makes You Eligible bachelors or masters degree in computer science, Artificial Intelligence, or a related field. 5-10 years relevant and Proven experience in developing and deploying generative AI models and agents in a professional setting. What We Offer Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc) Extensive training opportunities through our own HARMAN University Competitive we'llness benefits Tuition reimbursement Be Brilliant employee recognition and rewards program An inclusive and diverse work environment that fosters and encourages professional and personal development

We are seeking a talented and motivated Data Scientist to join our dynamic team. The ideal candidate will possess strong technical skills in machine learning, natural language processing (NLP), generative AI, graph neural networks, and topic modeling. You will also be adept at designing experiments to validate hypotheses and drive decision-making. Key Responsibilities: Develop and deploy scalable machine learning models to address business challenges. Utilize NLP techniques to extract insights from unstructured text data. Implement graph neural networks to analyze relational data and uncover complex patterns. Conduct topic modeling to distill key themes from large datasets. Design, implement, and analyze experiments to inform data-driven decisions. Collaborate with cross-functional teams to identify, define, and solve challenging problems. Communicate findings and recommendations to stakeholders in a clear and concise manner. Continuously stay updated with the latest advancements in data science, machine learning, and related fields. Required Qualifications and Skills: bachelors degree in computer science, Statistics, Mathematics, or a related field. Proven experience in machine learning, NLP, and generative AI. Proficiency in graph neural networks and topic modeling. Skills in deep learning architecture and training neural networks Strong programming skills in Python, R, or a similar language. Excellent analytical, problem-solving, and critical-thinking skills. Ability to communicate complex technical concepts to non-technical audiences. Preferred Qualifications and Skills: Masters or Ph.D. in a relevant field bachelors from reputed college with keen desire to learn Experience in the design of experiments and statistical analysis. Knowledge of cloud platforms (eg, AWS, Google Cloud, Azure). Strong project management and organizational skills. Languages : English.

Apply strategic and data analytics skills to solve problems for the PayPal Risk team. Work with stakeholders across different teams such as Product, Platform, Machine Learning, Operations to drive strategic initiatives. Meet our team: The Global Risk Automation Strategy (GRAS) team focuses on driving automation initiatives for the risk back office. We work closely with the Front end strategy, consumer and seller risk operations, product, and modeling teams to identify automation opportunities to drive efficiency. Job Description: As a Data Scientist, you will apply your strategic and analytical skills to solve challenging business problems. You will team up with world-class professionals to identify actionable insights that ultimately impact the bottom line of the company. We work in a space that looks deeply into emerging fraud trends to come up with analytical solutions to fight these fraud trends and we also work on business enablement opportunities that fuel growth and drive efficiencies within the organization Your day-to-day Provide analytical insights into problems, emerging trends and changes to portfolio Drive projects end to end from ideation to implementation in a time sensitive and efficient manner Identify new opportunities and continuous improvement to contribute to the team s KPIs and targets Case rating: Evaluate each lead and case for risk levels to determine the urgency, importance and need for manual reviews with a goal of Increasing case automation using various risk factors and exposure on a given account, additional profile or transactional information, adoption of Document Intelligence solution etc Ensure that we balance automation goals with loss. Partner with GADS and front end strategy team for agent decision and trend-based feedback model to improve automation quality. Work closely with business partners and stakeholders to determine how to design analysis and measurement approaches that will significantly improve our ability to understand and address emerging business issues Effectively managing relevant stakeholders through the lifecycle of a project by effectively understanding the various needs, priorities and perspectives in order to drive for a solution Understand new products, features and trends and their impact to back office reviews. Identifying present or future gaps in the team s existing reporting and tools suite Providing regular updates to leadership, product and other stakeholders that will simplify and clarify complex concepts and the results of analyses effectively with emphasis on the actionable outcomes and impact to business What do you need to bring Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as SQL, SAS, Hadoop, or other programming/scripting languages (Python, R, etc) to translate data into business decisions/results Be data-driven and outcome-focused Must have good business judgment with demonstrated ability to think creatively and strategically Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work Bachelors Degree in a quantitative discipline (Economics, Engineering, Computer Science, Math, Statistics) 4+ years experience in analytics Proficiency using SQL and querying relational databases Experience in at least one statistical programming language (SAS, R, Python) Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting, NLP, etc Experience with structuring analyses to solve business problems using data and analytics tools and techniques Experience with project/program management Experience in Fintech/Banking/Credit/Payment industry a strong plus

As a Data Science expert, you will join our Modeling Simulation Data Science team in the Translational Medicine Unit and help us to unleash the power of data science for drug discovery. You will bring your curious, innovative, and collaborative mindset to effectively harness the absorption, distribution, metabolism, excretion (ADME) and pharmacokinetics (PK) / pharmacodynamics (PD) data generated within our department and master the use of our in-house applications and state-of-the-art machine learning (ML) methods and statistical techniques to accelerate drug design. Our group is growing, and we hope you will join our dynamic, enthusiastic and forward-thinking team Your responsibilities will include, but are not limited to: Act as the MS Data Science representative on drug discovery and lead optimization programs by collaboratively contributing to project team discussions, using dry- and wet-lab data to provide scientific and strategic input to guid e decisions such as compound progression and in vivo study prioritization Master and advocate the use of in silico models and in-house tools , applications and data to accelerate and streamline decision making Apply data mining to understand relationships between structure and molecular properties for programs involving small molecules, peptides, RNAs Identify opportunities to create custom, project- or modality-specific in silico models and data strategy , and contribute to their development and implementation Proactively seek opportunities to increase the impact and awareness of MS Data Science through clear and concise communications with internal and external audiences or various expertise M onitor and stay up to date on developments within the field of AI/ML applied to ADME and PK/PD, and data science methods applied to drug discovery Essential requirements: Advanced degree in life sciences with multidisciplinary background (cheminformatics, bioinformatics, biomedical engineering, AI/ML in drug discovery or life sciences , data science , computational biology , computational chemistry or related field ) PhD with 2+ years or MSc with 6+ years of relevant work experience with deep knowledge on drug discovery and development processes Experience in the application of (reproducible) data science methods , tools and practices to drug discovery Strong understanding of statistics , machine learning and deep learning Demonstrated knowledge of data visualization and exploratory analysis Solid skills in programming languages, ie Python and R, including software development practices such as version control, testing, documentation, etc . Knowledge of machine le a rning/deep learning libraries such as scikit-learn, keras or pytorch Excellent communication skills and ability to translate analytical concepts for diverse audience and stakeholders (English is our primary language) Desirable : Expertise with discovery-stage PK modeling for small molecule compounds (eg, relating ADME properties to in vivo PK; scaling of preclinical PK to human) is a plus Experience with generative algorithms and explainable AI Languages : English.

vConstruct , a Pune based Construction Technology company seeks a Senior Data Scientist for their Data Science and Analytics team which is a tight-knit group of Data Scientists and AI Engineers along with Data Analysists and Data Engineers that support all data aspects of DPR business. This team drives up with passion of Transforming this Construction Industry by the use of cutting edge technology enabled with strong AI/ ML Solutions. Here, each and every data point starting from Pre-Construction to Post-Construction process are touch-based to leverage this data for getting predictable outcomes and automating processes for better efficiency. This team helps on various domains of construction such as Scheduling, Planning, Supply Chain, Safety, Quality Control, Site Management, Financials, & Virtual Design Construction in every phase of projects. Gain the opportunity for working over Computer Vision, Predictive, Gen AI & LLM related use cases with variety of tech stack included for implementation. Majorly, MS Azure AI Services, Open AI, CV Libraries and ML for predictive outcomes with Stats as base. Glimpse of Projects: - Creation of GPT for Construction Industry on Construction Data (Unstructured & Structured Data). - Use Computer Vision to help Object Detection on 2D Drawings and 3D BIM Models - Detailed use of Stats frameworks for Predicting Losses on Construction Site Data or to predict win/ loss of opportunities with clients. Predict Quantities required for similar type of sites etc. - Automation AI has deep integration with other groups of Construction Operations to automate our current work processes and make them more efficient using pre-built Models, Azure ML Services or other ML Techniques. Be a part of this vision of Transforming Construction Industry by Use of Technology and play vital role with talented team within vConstruct. If you're interested in contributing to construction technology within the AI/ML space, gaining exposure to the latest technologies, and working directly with end customers, please apply via the link. Key Responsibilities: Think strategically & collaborate with cross-functional teams to identify business use cases and solutionize with scalable technical solutions. Analyze construction project data and develop predictive models using traditional data science methods and Generative AI. Apply machine learning algorithms to improve key processes such as project execution, safety, and risk assessment. Design, Lead & Own scalable end-to-end development of predictive, ML models, from hypothesis generation to deployment and monitoring. Build, validate, and optimize machine learning and statistical models using best-in-class techniques. & QC models developed by Jr. Data Scientists and ML Engg. Work closely with Engineering & business team to understand the data, business terms, processes to create, suggest and implement solutions accordingly. Stay current with advancements in data science and machine learning to help leveraging Companys data. Use statistical techniques to detect anomalies and optimize operational workflows, ensuring projects are delivered on time and within budget Collaborate with product managers and business leaders to drive the implementation of data-driven decisions. Plus to have ability of visualizing insights using BI tools. Qualification: Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related -field. 8-10 years of professional experience with atleast 6 years of experience in data science, machine learning, and analytics, with a proven track record of delivering impactful data-driven solutions. Experience working in dynamic, fast-paced environments, with the ability to manage multiple projects simultaneously as well as should be able to do production or work on project personally as required. Proven Experience, Strong business acumen and ability to translate technical insights into actionable business strategies & communicate to stakeholders in business language. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Technical Skills: Expertise in programming languages such as Python, R, or Scala. Proficiency in machine learning, AI & Statistics frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong experience in predictive analytics, clustering, classification, regression & multi-variate techniques. Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Familiarity with cloud platforms (AWS, Azure preferably), knowledge about Azure ML Services & Snowflake would be plus one Strong understanding of SQL and working with relational databases. Good to have knowledge of NLP(Natural Language Processing) and Computer Vision. About vConstruct : vConstruct specializes in providing high quality Building Information Modeling and Construction Technology services geared towards construction projects. vConstruct is a wholly owned subsidiary of DPR Construction. VConstruct has 100+ team members working on Software Development, Data Analytics, Data Engineering and AI/ML. We have matured Data Science practice and growing at accelerated pace. For more information, please visit www.vconstruct.com About DPR Construction: DPR Construction is a national commercial general contractor and construction manager specializing in technically challenging and sustainable projects for the advanced technology, biopharmaceutical, corporate office, and higher education and healthcare markets. With the purpose of building great things, great teams, great buildings, great relationshipsDPR is a truly great company. For more information, please visit www.dpr.com

Prudential s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed. Role Profile - Actuarial Intern Role Title: Actuarial Intern Department: Actuarial Location of Internship: Mumbai Tenure of Internship: 6 months Full time basis Stipend during Internship: INR 30,000 per month Qualification Criteria: Graduate or Post-Graduate in Statistics, Mathematics, Commerce or Actuarial Science with outstanding academic track record More than 2 Actuarial exam passes from Institute of Actuaries of India and/or Institute and Faculty of Actuaries Prior working experience with R, Python, VBA, Power BI etc will be added advantage Good communication skills Brief Job Description: Assist in Health Product Pricing including: Premium, Feature Loss Ratio Benchmarking Deriving Assumptions Building Models Draft Technical Notes Addressing Regulatory Queries Assist in developing Reserving Framework, including building Models Assist in developing Capital Modeling ALM Framework, including building Models Expectations from the Role: Attention to detail Willingness to learn and apply Actuarial skill set Logical approach to solving problems Ability to liaise closely with different teams in the organization Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

Job Title: Senior Data Scientist - Agentic AI Platforms Applications Job Description: We are looking for a Senior Data Scientist to lead the design and development of agentic AI platforms and intelligent applications. This role focuses on leveraging large language models (LLMs), orchestration frameworks, and Python-based development to build autonomous agents that can reason, interact with tools, and perform complex tasks. You will play a hands-on role in shaping the system architecture and implementing key components that power agent behavior. Key Responsibilities: Design and prototype AI agents using LangChain or similar frameworks. Apply LLMs to real-world tasks through prompt engineering, chaining, and tool integration. Develop Python-based pipelines and backend services to support agentic logic and orchestration. Integrate external APIs and SDKs to extend agent capabilities and data access. Collaborate on the development of planning, memory, and decision-making components within agents. Support experimental design, model evaluation, and iterative tuning of LLM-based workflows. Contribute to basic CI/CD workflows to ensure reliable model deployment and testing. Partner with engineering and product teams to translate business problems into scalable AI solutions. Required Qualifications: 5+ years of experience in data science or applied machine learning, with a focus on NLP or AI applications. Hands-on experience with LLMs and orchestration tools such as LangChain, Haystack, or similar. Strong Python programming skills and familiarity with building modular, production-ready code. Experience working with LLM APIs (OpenAI, Anthropic, etc.) and retrieval-augmented generation workflows. Proven track record of designing and integrating APIs and third-party SDKs. Familiarity with agent-based systems and autonomous workflows. Working knowledge of CI/CD pipelines and MLOps fundamentals. Preferred Qualifications: Experience with vector databases, tool use in agents, or multi-agent systems. Background in developing AI solutions in enterprise or research environments. Strong analytical thinking and ability to translate abstract problems into data-driven agentic solutions. Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Dear Candidate, As an AI / ML Engineer/Architect/Associate Engineer/Manager , you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud-based AI services and their integration. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions. Experience - 12-18yrs Budget maximum is only 55LPA fixed Interested candidates please mail your resumes to meghana@ojassystems.com Show more Show less

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Job Title: Senior Data Scientist - Agentic AI Platforms & Applications Job Description: We are looking for a Senior Data Scientist to lead the design and development of agentic AI platforms and intelligent applications. This role focuses on leveraging large language models (LLMs), orchestration frameworks, and Python-based development to build autonomous agents that can reason, interact with tools, and perform complex tasks. You will play a hands-on role in shaping the system architecture and implementing key components that power agent behavior. Key Responsibilities: Design and prototype AI agents using LangChain or similar frameworks. Apply LLMs to real-world tasks through prompt engineering, chaining, and tool integration. Develop Python-based pipelines and backend services to support agentic logic and orchestration. Integrate external APIs and SDKs to extend agent capabilities and data access. Collaborate on the development of planning, memory, and decision-making components within agents. Support experimental design, model evaluation, and iterative tuning of LLM-based workflows. Contribute to basic CI/CD workflows to ensure reliable model deployment and testing. Partner with engineering and product teams to translate business problems into scalable AI solutions. Required Qualifications: 5+ years of experience in data science or applied machine learning, with a focus on NLP or AI applications. Hands-on experience with LLMs and orchestration tools such as LangChain, Haystack, or similar. Strong Python programming skills and familiarity with building modular, production-ready code. Experience working with LLM APIs (OpenAI, Anthropic, etc.) and retrieval-augmented generation workflows. Proven track record of designing and integrating APIs and third-party SDKs. Familiarity with agent-based systems and autonomous workflows. Working knowledge of CI/CD pipelines and MLOps fundamentals. Preferred Qualifications: Experience with vector databases, tool use in agents, or multi-agent systems. Background in developing AI solutions in enterprise or research environments. Strong analytical thinking and ability to translate abstract problems into data-driven agentic solutions. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

About the Team Our Data Science team is the Avengers to Meesho s S.H.I.E.L.D . And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Lead Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users. You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait - there s more to us. Our team is huge on having a well-rounded personal and professional life. When we arent nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us About the Role Love deep data? Does innovative-thinking describe you? Then you may be our next Lead Data Scientist. In this role you ll be the Dumbledore to our team of wizards - our junior data scientists. You will be responsible for transforming scattered pieces of information into valuable data that can be used to achieve goals effectively. You will extract and mine critical bits of information and drive insightful discussions that result in app innovations. What you will do Understand reseller preferences to provide them with the most relevant products Present insights as images and videos Design optimal Reseller Journey on Meesho platform Identify search query intent to serve relevant products Infer insights from our existing data to identify new growth opportunities Design experiments to improve usability across our product suite Work on our Fraud Detection System: Payment Fraud/RTO/Return Mentor a team of data scientists, work with a machine learning engineering team, and big data specialists Implement various data science techniques such as machine learning, artificial intelligence, etc., regularly Design an overview for team optimisation and seamless collaboration within the organisation Conduct research collaborations with premier colleges and universities Attend conferences and publish research papers What you will need Bachelor s Degree, preferably in Computer Science 6-8 years of experience as a Data Scientist Familiarity with concepts of Machine Learning(Supervised / Unsupervised) , statistics, etc. Familiarity with tools like SQL, R, Python, etc. Familiarity with Big Data tech stacks like Apache Spark, Hadoop/Hive, S3 Expertise and hands-on knowledge of various programming languages Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams will always be a plus Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Bonus points for: Familiarity with Deep Learning/ Reinforcement Learning and relevant problems About us Welcome to Meesho, where every story begins with a spark of inspiration and a dash of entrepreneurial spirit. Were not just a platform; were your partner in turning dreams into realities. Curious about life at Meesho? Our people have a lot to say and theyve made us the top-rated e-commerce workplace on Glassdoor. Our Mission Democratising internet commerce for everyone- Meesho (Meri shop) started with a single idea in mind -to be an e-commerce destination for the next billion Indian consumers and enable 100 million small businesses to succeed online. We provide sellers with a range of industry-first benefits such as zero commission and the lowest shipping cost. Over 1.75 million sellers are registered on Meesho, growing their business by tapping the company s massive customer base, state-of-the-art tech infrastructure, pan-India logistics at the lowest cost through third-party logistics providers in an Everyday Lowest Cost channel for sellers. Affordable, relatable merchandise mirroring local markets has helped us make inroads with first-time internet users in the country. We cater to an underserved and unique customer base and cover every serviceable pincode in the country. Our unique business model and continuous innovation has enabled us to become the first Indian horizontal E-commerce company. Culture and Total Rewards Our focus is on cultivating a dynamic workplace characterized by high impact and performance excellence. We prioritize a people-centric culture, dedicated to hiring and developing exceptional talent. Total rewards at Meesho comprises of a comprehensive set of elements - monetary, non monetary, tangible and intangible in nature. Our 11 guiding principles, or " Mantras ," are the backbone of how we operate - influencing everything from recognition and evaluation to growth discussions. Daily rituals & processes like Reflections , Listen or Die , Internal Mobility Program, Talent Reviews, Continuous Performance Management - all embody these principles. We provide market leading compensation - both cash and equity-based - specific to job roles, individual experience and skill along with our employee centric benefits and work environment. We focus extensively on holistic wellness - through our MeeCare Program - encompassing benefits and policies across physical, mental, financial, and social wellness aspects. This includes extensive medical insurance benefits for employees and their families, wellness initiatives like telehealth, wellness events, and gym & recreational discounts etc. To support work-life balance, we provide generous leave policies, parental support benefits, retirement benefits, and learning and development assistance. Through gratitude for stretched work, personalized gifts, engagement & fun at work - we promote employee delight at the workplace. Many other benefits such as salary advance support, relocation assistance, and flexible benefits plans further enrich the Meesho employee experience. Know more about Meesho here : https://www.meesho.io/

Preferred candidate profile 1. LLM Basics : (Llama, Gemini ) : Understand the basics of generative AI and LLMs, such as key terminology, uses, potential issues, and primary frameworks. One should know what the data is trained on and any potential biases/issues that there may be with the data . Knowledge on know exactly how big LLMs can be, how computationally expensive training will be, and the differences between training LLMs and machine learning models. 1. Prompt Engineering : Knowledge on designing inputs for LLMs once theyre developed. 2. Prompt Engineering with OpenAI : As a leading figure in LLMs and generative AI, it’s important to know how to use prompt engineering specifically with OpenAI tools, as you’ll likely be using them at some point in your career. 3. Question-Answering :Question-answering (QA) LLMs are a type of large language model that has been trained specifically to answer questions. 4. Fine-Tuning : Knowledge on Fine-tuning to improve the performance of an LLM on a variety of tasks, including text generation, translation, summarization, and question-answering. Customize LLMs for specific applications, such as customer service chatbots or medical diagnosis systems. Awareness on supervised learning. This involves providing the LLM with a dataset of labelled data, where each data point is a pair of input and output.. 1. Lang Chain : To architect complex LLM pipelines by chaining multiple models together (Classification, text generation, code generation, etc.)`Agents` to interact with all these external systems to execute actions dictated by LLMs. 2. Parameter Efficiency/Tuning : LORA 3. RAG Building : Generative AI, mastering RAG building—short for Retrieval-Augmented Generation—is becoming increasingly crucial 4. ML OPS and in particular LLMOps : Large Language Model Operations, is the practice of managing and maintaining large language models (LLMs) in a production setting 5. TensorFlow i s like a versatile toolbox for creating intelligent programs that can learn and understand various concepts, including machine learning, deep learning, and data science

The HiLabs Story HiLabs is a leading provider of AI-powered solutions to clean dirty data, unlocking its hidden potential for healthcare transformation. HiLabs is committed to transforming the healthcare industry through innovation, collaboration, and a relentless focus on improving patient outcomes. HiLabs Team Multidisciplinary industry leaders Healthcare domain experts AI/ML and data science experts Professionals hailing from the worlds best universities, business schools, and engineering institutes including Harvard, Yale, Carnegie Mellon, Duke, Georgia Tech, Indian Institute of Management (IIM), and Indian Institute of Technology (IIT). Job Title : Lead/Senior Data Scientist Job Location : Pune Job summary: HiLabs is looking for highly motivated and skilled Lead/Sr. Data Scientist focused on the application of emerging technologies. The candidates must be well versed with Python, Scala, Spark, SQL and AWS platform. The individuals who will join the new Evolutionary Platform team should be continually striving to advance AI/ML excellence and technology innovation. The mission is to power the next generation of the digital product and services through innovation, collaboration, and transparency. You will be a technology leader and doer who enjoys working in a dynamic, fast- paced environment. Responsibilities: Leverage AI/ML techniques and solutions to identify and mathematically interpret complex healthcare problems. Full-stack development of data pipelines involving Big Data. Design and development of robust application/data pipelines using Python, Scala, Spark, and SQL Lead a team of Data Scientists, developers as well as clinicians to strategize, design and evaluate AI based solutions to healthcare problems. Increase efficiency and improve the quality of solutions offered. Managing the complete ETL pipeline development process from conception to deployment Collaborating with and guiding the team on writing, building, and deployment of data software Following best design and development practices to ensure high quality code. Design, build and maintain efficient, secure, reusable, and reliable code Perform code reviews, testing, and debugging Desired Profile: Bachelors or Master s degrees in computer science, Mathematics, or any other quantitative discipline from Premium/Tier 1 institutions 5 to 7 years of experience in developing robust ETL data pipelines and implementing advanced AI/ML algorithms (GenAI is a plus). Strong experience working with technologies like Python, Scala, Spark, Apache Solr, MySQL, Airflow, AWS etc. Experience working with Relational databases like MySQL, SQLServer, Oracle etc. Good understanding of large system architecture and design Understands the core concepts of Machine Learning and the math behind it. Experience working in AWS/Azure cloud environment Experience using Version Control tools such as Bitbucket/GIT code repository Experience using tools like Maven/Jenkins, JIRA Experience working in an Agile software delivery environment, with exposure to continuous integration and continuous delivery tools Great collaboration and interpersonal skills Ability to work with team members and lead by example in code, feature development, and knowledge sharing HiLabs is an equal opportunity employer (EOE). No job applicant or employee shall receive less favorable treatment or be disadvantaged because of their gender, marital or family status, color, race, ethnic origin, religion, disability, or age; nor be subject to less favorable treatment or be disadvantaged on any other basis prohibited by applicable law. HiLabs is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse and inclusive workforce to support individual growth and superior business results. HiLabs Total Rewards Competitive Salary, Accelerated Incentive Policies, H1B sponsorship, Comprehensive benefits package that includes ESOPs, financial contribution for your ongoing professional and personal development, medical coverage for you and your loved ones, 401k, PTOs & a collaborative working environment, Smart mentorship, and highly qualified multidisciplinary, incredibly talented professionals from highly renowned and accredited medical schools, business schools, and engineering institutes.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: Data Science. Experience8-10 Years.

Responsibilities Lead the design, development, and deployment of machine learning and GenAI models with a strong focus on AWS AI architecture. Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions. Provide technical leadership and mentorship to the data science team. Conduct research and stay updated on the latest advancements in machine learning and artificial intelligence. Drive the implementation of best practices for data collection, preprocessing, and model evaluation. Communicate effectively with stakeholders to understand their requirements and translate them into actionable data science projects. Contribute to the development of data science strategies and roadmaps. Skill Requirements A minimum of 10+ years of experience in data science, with a focus on machine learning and artificial intelligence. Proven track record of leading and delivering complex data science projects. Expertise in building and deploying machine learning and GenAI models at scale using AWS AI services. Strong programming skills in languages such as Python, R, or Java, with proficiency in leveraging AWS AI SDKs and APIs. In-depth knowledge of statistical modeling, data mining, and predictive analytics. Mandatory Skills: Data Science. Experience5-8 Years.

Introduction: A Career at HARMAN Lifestyle We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. As a member of HARMAN Lifestyle, you connect consumers with the power of superior sound. Contribute your talents to high-end, esteemed brands like JBL, Mark Levinson and Revel Unite your passion for audio innovation with high-tech product development Create pitch-perfect, cutting-edge technology that elevates the listening experience What You Will Do To perform in-depth analysis of data and machine learning models to identify insights and areas of improvement. Develop and implement models using both classical machine learning techniques and modern deep learning approaches. Deploy machine learning models into production, ensuring robust MLOps practices including CI/CD pipelines, model monitoring, and drift detection. Conduct fine-tuning and integrate Large Language Models (LLMs) to meet specific business or product requirements. Optimize models for performance and latency, including the implementation of caching strategies where appropriate. Collaborate cross-functionally with data scientists, engineers, and product teams to deliver end-to-end ML solutions. What You Need To Be Successful Utilized various statistical techniques to derive important insights and trends. Proven experience in machine learning model development and analysis using classical and neural networks based approaches. Strong understanding of LLM architecture, usage, and fine-tuning techniques. Solid understanding of statistics, data preprocessing, and feature engineering. Proficient in Python and popular ML libraries (scikit-learn, PyTorch, TensorFlow, etc.). Strong debugging and optimization skills for both training and inference pipelines. Familiarity with data formats and processing tools (Pandas, Spark, Dask). Experience working with transformer-based models (e.g., BERT, GPT) and Hugging Face ecosystem. Bonus Points if You Have Experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, or similar). Experience with monitoring tools (Prometheus, Grafana, or custom solutions for ML metrics). Familiarity with cloud platforms (Sagemaker, AWS, GCP, Azure) and containerization (Docker, Kubernetes). Hands-on experience with MLOps practices and tools for deployment, monitoring, and drift detection. Exposure to distributed training and model parallelism techniques. Prior experience in AB testing ML models in production. What Makes You Eligible Bachelor’s or master’s degree in computer science, Artificial Intelligence, or a related field. 5-10 years relevant and Proven experience in developing and deploying generative AI models and agents in a professional setting. What We Offer Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.) Extensive training opportunities through our own HARMAN University Competitive wellness benefits Tuition reimbursement “Be Brilliant” employee recognition and rewards program An inclusive and diverse work environment that fosters and encourages professional and personal development You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! HARMAN is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or Protected Veterans status. HARMAN offers a great work environment, challenging career opportunities, professional training, and competitive compensation. (www.harman.com) Show more Show less

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will help our business react to changing business conditions with excellent data analysis. You will define the requirements, perform the analysis and identify patterns in large amounts of data. How You Will Contribute You will: Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements Identify patterns and help the business react to changing business conditions Perform root-cause analysis and interpret data Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities and delivers analysis outputs in accordance with customer needs and conforming to established standards Understand and be involved with aspects of the data science process As the investigator on the data science team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools, and producing basic data visualizations and reporting dashboards What You Will Bring A desire to drive your future and accelerate your career and the following experience and knowledge: Knowledge of Microsoft Excel, Power BI, SQL,R, Python, SAS software, Google Analytics, Google Tag Manager, Tableau, Google AdWords, statistical software Moderate knowledge in math and statistical skills, strong business acumen, moderate computer science/coding skills Develop key performance indicators and create visualizations of the data Utilize business intelligence and analytics tool Key responsibilities: Generate monthly forecast for the markets in scope as per IBP/Achilles calendar Perform forecast validation checks and handover stats forecast to market Driver CI activities including Experimentation, automation to increase value of the product to improve SFA, FVA and efficiency of forecast generation process Driver market monthly RCA call to drive actionable insights in collaboration with Demand Planners to improve SFA and drive No Touch Adoption Participate in Monthly BU leadership meetings and drive agenda for you markets in scope Deliver zero defect mindset in collaboration with Data Engineering and MDS D&A Team Build up Statistics SFA target achievement strategy in coordination with Product Owner & Demand Planner Documentation of modelling rules, experimentation for markets in scope Lead data discovery sessions from data science, guide MDS D&A and DE team members for o9 modelling needs and design validation rules for source data. Participate in data discovery sessions from data science, in collaboration with MDS D&A and DE team members for o9 modelling needs and design validation rules for source data. Job specific requirements: Experience in any Data Science language like Python (preferred), PySpark (preferred), R Experience with Cloud solutions (GCP) and deployment of data science models in production environment. Knowledge and experience in data science cloud platforms like Databricks (preferred) or similar. Knowledge of analytical techniques in statistical modelling, machine learning with exposure to forecasting domain especially driver-based forecasting. Basic understanding of supply chain processes. Should be able to articulate data science outcome into business understandable language. Experience developing and deploying high standard Statistical and/or machine learning solution. 4+ years of experience in data science or analytics roles. Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary Headquartered in Singapore, Mondelēz International’s Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Data Science Analytics & Data Science Show more Show less

Sub:TCS Virtual Drive – Data Scientist Greetings from Tata Consultancy Services !!! TCS is hiring fo r Data Scientist Experience : 7+ years Location: PAN India We are looking for a candidate with good experience in Machine Learning Modelling, Data Analysis & Pre-processing, Synthetic Data Generation. The candidate must be able to Develops and refines analytical methods using traditional machine learning to extract insights and build predictive models. Trains and validates ML models to solve business problems, requiring a strong foundation in statistical analysis and data manipulation. Focuses on established ML techniques and model validation for reliable results. Show more Show less

Experience: 3 - 7 Years Shift timing: 1.00 pm to 10.00 pm Notice Period: immediate to 20 Days Job Description, Roles and Responsibilities:  Design, develop, and deploy machine learning models to detect and prevent fraudulent activities, such as Merchant Fraud, transactional fraud, account takeover, and identity theft  Work with large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity.  Utilise data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including first-party and third-party fraud).  Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures.  Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies. Skills Required:  Bachelor degree in engineering, technology, computer science or related field.  3+ years of proven data analytics experience in fraud prevention, risk management, or a related field  Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance.  Strong experience in SQL or Python  Excellent communication and presentation skills with the ability to convey complex information clearly and concisely.  Detail-oriented with a proactive mindset toward problem-solving and risk mitigation.  Ability to work collaboratively in a cross-functional team environment. Show more Show less

We are a pioneering company dedicated to Revolutionizing autism with AI-driven solutions. Required Candidate profile Role: Analyze autism treatment data for insights. Develop predictive models to improve outcomes. Use ML to generate recommendations. Communicate findings to stakeholders.

Role Summary: We are seeking a skilled Data Science Engineer with specialization in Optical Character Recognition (OCR) and Microsoft Azure technologies. The ideal candidate will have experience designing and implementing scalable OCR solutions, leveraging both traditional image processing and modern deep learning techniques on the Azure ecosystem. Key Responsibilities: Design, build, and deploy OCR models to extract text and structured data from scanned documents, images, and PDFs. Work with Azure Cognitive Services (Form Recognizer, Computer Vision) and Custom Vision APIs to develop robust OCR pipelines. Implement scalable data pipelines using Azure Data Factory, Azure Functions, and Event Hubs. Build end-to-end solutions from data ingestion to analytics and visualization using Azure Synapse, Databricks, or Power BI. Collaborate with product and engineering teams to integrate OCR capabilities into production applications. Apply post-processing NLP techniques to enhance OCR output (e.g., Named Entity Recognition, text classification, etc.). Ensure data security, compliance, and performance tuning on the Azure platform. Required Skills: Strong experience with OCR tools: Tesseract, EasyOCR, PaddleOCR, or equivalent. Expertise in Azure AI/ML services, especially Azure Form Recognizer and Azure Cognitive Search. Proficient in Python and relevant libraries: OpenCV, PyTorch/TensorFlow, Pandas, NumPy. Experience in Azure Machine Learning (AutoML, pipelines, compute instances). Hands-on with Azure DevOps, GitHub Actions, and CI/CD for model deployment. Solid understanding of image preprocessing, noise reduction, and layout analysis. Familiarity with document formats: PDFs, TIFFs, scanned images, handwritten notes, etc.

Job Title: Data Scientist Job Location: Jaipur Experience: 3 to 6 years Job Description: We are seeking a highly skilled and innovative Data Scientist to join our dynamic and forward-thinking team. This role is ideal for someone who is passionate about advancing the fields of Classical Machine Learning, Conversational AI, and Deep Learning Systems, and thrives on translating complex mathematical challenges into actionable machine learning models. The successful candidate will focus on developing, designing, and maintaining cutting-edge AI-based systems, ensuring seamless and engaging user experiences.Additionally, the role involves active participation in a wide variety of Natural Language Processing (NLP) tasks, including refining and optimizing prompts to enhance the performance of Large Language Models (LLMs). Key Responsibilities: • Generative AI Solutions: Develop innovative Generative AI solutions using machine learning and AI technologies, including building and fine-tuning models such as GANs, VAEs, and Transformers. • Classical ML Models: Design and develop machine learning models (regression, decision trees, SVMs, random forests, gradient boosting, clustering, dimensionality reduction) to address complex business challenges. • Deep Learning Systems: Train, fine-tune, and deploy deep learning models such as CNNs, RNNs, LSTMs, GANs, and Transformers to solve AI problems and optimize performance. • NLP and LLM Optimization: Participate in Natural Language Processing activities, refining and optimizing prompts to improve outcomes for Large Language Models (LLMs), such as GPT, BERT, and T5. • Data Management & Feature Engineering: Work with large datasets, perform data preprocessing, augmentation, and feature engineering to prepare data for machine learning and deep learning models. • Model Evaluation & Monitoring: Fine-tune models through hyperparameter optimization (grid search, random search, Bayesian optimization) to improve performance metrics (accuracy, precision, recall, F1-score). Monitor model performance to address drift, overfitting, and bias. • Code Review & Design Optimization: Participate in code and design reviews, ensuring quality and scalability in system architecture and development. Work closely with other engineers to review algorithms, validate models, and improve overall system efficiency. • Collaboration & Research: Collaborate with cross-functional teams including data scientists, engineers, and product managers to integrate machine learning solutions into production. Stay up to date with the latest AI/ML trends and research, applying cutting-edge techniques to projects. Qualifications: • Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Data Science, or any related field. • Experience in Machine Learning: Extensive experience in both classical machine learning techniques (e.g., regression, SVM, decision trees) and deep learning systems (e.g., neural networks, transformers). Experience with frameworks such as TensorFlow, PyTorch, or Keras. • Natural Language Processing Expertise: Proven experience in NLP, especially with Large Language Models (LLMs) like GPT, BERT, or T5. Experience in prompt engineering, fine-tuning, and optimizing model outcomes is a strong plus. • Programming Skills: Proficiency in Python and relevant libraries such as NumPy, Pandas, Scikit-learn, and natural language processing libraries (e.g., Hugging Face Transformers, NLTK, SpaCy). • Mathematical & Statistical Knowledge: Strong understanding of statistical modeling, probability theory, and mathematical optimization techniques used in machine learning. • Model Deployment & Automation: Experience with deploying machine learning models into production environments using platforms such as AWS SageMaker or Azure ML, GCP AI, or similar. Familiarity with MLOps practices is an advantage. • Code Review & System Design: Experience in code review, design optimization, and ensuring quality in large-scale AI/ML systems. Understanding of distributed computing and parallel processing is a plus. Soft Skills & Behavioural Qualifications: • Must be a good team player and self-motivated to achieve positive results • Must have excellent communication skills in English. • Exhibits strong presentation skills with attention to detail. • It’s essential to have a strong aptitude for learning new techniques. • Takes ownership for responsibilities. • Demonstrates a high degree of reliability, integrity, and trustworthiness • Ability to manage time, displays appropriate sense of urgency and meet/exceed all deadlines • Ability to accurately process high volumes of work within established deadlines. Interested Candidate can share your CV or Reference at sulabh.tailang@celebaltech.com Show more Show less

We are looking for a skilled Data Scientist to develop and implement predictive models that drive business decision-making. The ideal candidate will have strong expertise in machine learning, data analysis, and statistical techniques, using tools such as Python, R and Jupyter Notebooks. This role involves collaborating with cross-functional teams to translate business challenges into data-driven solutions. Requirements and Qualifications: Must-Have Skills: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. 5+ years of experience in data science roles. Strong experience in predictive modeling and machine learning. Proficiency in Python and R for data analysis and model development. Hands-on experience with Jupyter Notebooks for data exploration. Solid knowledge of statistics, probability, and hypothesis testing. Experience working with large datasets and data-wrangling techniques. Ability to build data-driven visualizations and communicate insights effectively. Nice-to-Have Skills: Experience in HR analytics and workforce data modeling. Familiarity with machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn. Knowledge of SQL for data querying and manipulation. Experience with big data tools like Spark, Hadoop, or AWS ML services. Understanding of data visualization tools such as Tableau or Power BI. Roles and Responsibilities: Develop and implement predictive models to support business decision-making. Build and deploy machine learning algorithms to solve complex problems. Analyze large datasets using statistical and data science techniques. Use Python, R, and Jupyter Notebooks for data analysis, modeling, and visualization. Collaborate with cross-functional teams to translate business challenges into data-driven insights. Continuously improve and optimize machine learning models for accuracy and efficiency. Present findings to stakeholders in a clear and actionable manner.

Job Summary As a Data Scientist at HealthWorksAI™, you will play a pivotal role in integrating diverse modeling techniques, enhancing model interpretability, and collaborating on the development of innovative, data-driven solutions. With a focus on continuous learning and industry exposure, you'll contribute to a culture of analytics empowerment while showcasing your proficiency in analytics tools and problem-solving. What You'll Do: Model Integration: Blend traditional and modern AI/ML techniques to address complex business challenges. Interpretability Focus: Enhance model interpretability using xAI methodologies for clear insights. Solid Data Foundation: Build a strong foundation in data engineering, modeling, algorithms, and general data science principles. Analytical Proficiency: Showcase proficiency in regression, boosting/bagging, segmentation, forecasting and Deep Learning/NN techniques. Experience You'll Need Educational Background : Bachelor’s degree in Engineering, ideally in Computer Science, Statistics/Economics, or related fields. Hands-on Experience: A minimum of 2 years of hands-on experience in developing data-driven solutions. Industry Exposure: Familiarity with the US Healthcare Insurance domain. What You'll Bring to the Table: Collaborative Support : Collaborate with cross-functional teams, supporting the development and deployment of data-driven solutions. Continuous Learning : Engage in ongoing learning for personal and team growth. Technological Aptitude: Exhibit expertise in Python, and basic Big Data technologies. Curiosity and Problem-Solving: Embrace intellectual curiosity, showcasing a problem-solving mindset for impactful outcomes. Join our extraordinary team, where your passion for data science and healthcare innovation will flourish. Together, we will reshape the future of healthcare through the power of analytics and AI/ML. Apply now, and let's embark on this exciting journey together. Show more Show less