3498 Data Scientist Jobs - Page 36

Job Details: Experience - 4 to 12 yrs Mandatory Skills - Data Science, Classical Machine Learning, Python. Location - Mumbai, Pune, Bangalore, Chennai, Hyderabad and Kolkata location. Notice - Immediate to 30 days. Data Scientist Python and Notebooks Responsibilities We are seeking a talented Data Scientist to join our team and drive datadriven decisionmaking across our organization The ideal candidate will have a strong background in statistical analysis machine learning and data visualization with experience working with large datasets in a Teradata environment Design and implement endtoend data science projects from problem definition to model deployment Develop and apply advanced machine learning algorithms and statistical models to solve complex business problems Collaborate with crossfunctional teams to identify opportunities for datadriven improvements Conduct exploratory data analysis and feature engineering to prepare data for modeling Create and maintain dashboards and reports to communicate insights to stakeholders Optimize data collection procedures and ensure data quality Stay current with the latest advancements in data science and machine learning techniques Implement and maintain onpremise AIML solutions Apply Explainable AI techniques to enhance model interpretability and transparency Requirements Strong proficiency in Python R and SQL Experience with Teradata and data lakelakehouse architectures Expertise in machine learning algorithms statistical modeling and data visualization Familiarity with big data technologies eg Hadoop Spark Excellent problemsolving and communication skills Experience with version control systems eg Git Experience with onpremise AIML solutions Knowledge of Explainable AI methods and their practical applications.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Roles & responsibilities can include but are not limited to: Broad Knowledge And Experience In Strong desire to grow career as Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets. Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. Ability to apply latest mathematical and statistical techniques to analyze data and uncover patterns. Interested to build web application as part of job scope. Knowledge in Cloud based Analytics and Machine Learning Modeling Knowledge in building APIs for application integration. Knowledge in the areas: statistical modeling, feature extraction and analysis, feature engineering, supervised/unsupervised/semi-supervised learning. Data Analysis and Validation skills Strong software development skills. Above Average Skills In Programming Fluency in Python Knowledge in statistics, Machine learning and other advanced analytical methods Knowledge in javascript, AngularJS 2.0, Tableau will be added advantage. Knowledge in OOPS background is added advantage. Understanding of pySpark and/or libraries for distributed and parallel processing is added advantage. Knowledge in Tensorflow, and/or other statistical software including scripting capability for automating analyses Knowledge with time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus Understanding of Manufacturing Execution Systems (MES) is a plus Demonstrated Ability To Work in a dynamic, fast-paced, work environment Self-motivated with the ability to work under minimal direction To adapt to new technologies and learn quickly A passion for data and information with strong analytical, problem solving, and organizational skills Work in multi-functional groups, with diverse interests and requirements, to a common objective Communicate very well with distributed teams (written, verbal and presentation) Education Requirement & Eligibility Bachelor’s or Master’s degree in Computer science, Electrical/Electronic Engineering. CGPA requirements = 7.0 CGPA & Above Location: Sanand Gujarat About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Role Description As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Roles & responsibilities can include but are not limited to: Broad knowledge and experience in: Strong desire to grow career as Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets. Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. Ability to apply latest mathematical and statistical techniques to analyze data and uncover patterns. Interested to build web application as part of job scope. Knowledge in Cloud based Analytics and Machine Learning Modeling Knowledge in building APIs for application integration. Knowledge in the areas: statistical modeling, feature extraction and analysis, feature engineering, supervised/unsupervised/semi-supervised learning. Data Analysis and Validation skills Strong software development skills. Above average skills in: Programming Fluency in Python Knowledge in statistics, Machine learning and other advanced analytical methods Knowledge in javascript, AngularJS 2.0, Tableau will be added advantage. Knowledge in OOPS background is added advantage. Understanding of pySpark and/or libraries for distributed and parallel processing is added advantage. Knowledge in Tensorflow, and/or other statistical software including scripting capability for automating analyses Knowledge with time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus Understanding of Manufacturing Execution Systems (MES) is a plus Demonstrated ability to: Work in a dynamic, fast-paced, work environment Self-motivated with the ability to work under minimal direction To adapt to new technologies and learn quickly A passion for data and information with strong analytical, problem solving, and organizational skills Work in multi-functional groups, with diverse interests and requirements, to a common objective Communicate very well with distributed teams (written, verbal and presentation) Education Requirement & eligibility: Bachelor’s or Master’s degree in Computer science, Electrical/Electronic Engineering. CGPA requirements = 7.0 CGPA & Above Location: Sanand Gujarat About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact [email protected] Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Job Discription: Bachelor’s degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 7+ years of relevant experience in Generative AI and NLP Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint. Must have Skills and Experience: Excellent communication skill, stakeholder management skill and should be able to frame problem statement into analytical approaches Strong programming experience in Python. Should have strong experience in Machine Learning and forecasting, with actual project experiences for application Strong in GenAI and NLP: Extensive experience in retrieval augmented generation and strong grasp in agents Should have good understanding of transformer architecture and traditional NLP Should be able to create APIs for backend Should have a strong appetite to do research, getting familiar with latest techniques on GenAI and come up with his/her own approach and experimentation

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

Collaborate with teams to understand business needs, design and implement AI solutions, conduct thorough testing, optimize algorithms, stay updated with AI advancements, integrate technologies, and mentor team for innovation.

We are hiring Data Science professionals to build predictive models, analyze large datasets, and deliver actionable insights that drive business decisions. Contact: 9717900793 honey@albireorecruiters.in

Bharti Soft Tech Pvt Ltd is a global technology and process driven software solutions company offering customer-centric solutions. With knowledge and experience of the entire IT lifecycle, we help enterprises streamline core IT processes and augment their competitive advantage. Our Agile tools and DevOps processes create outcome-based and ROI-driven solutions for technology teams and enterprises. Drawing on the talents and insights of our people in offices around the world, we combine unparalleled experience, comprehensive capabilities across many industries and business processes, and fresh thinking to generate innovative solutions. BSPL offers superior quality and cost-effective business solutions, employing cutting-edge technologies and the most exacting of quality standards. Headquartered in Paris, Europe with two delivery centers in India and operations in the U.S., Europe, and Asia, we combine local presence and accountability with a global delivery capability. This role is to work on advanced research and development, to enhance relationships with clients, acquire strategic datasets, and provide new and innovative solutions via product prototyping. The role holder will concentrate on new data asset evaluation and acquisition and new product prototyping. This will involve inventing and modifying advanced innovative algorithms and applying them to large data sets to solve difficult business problems. The role holder must be able to balance and prioritize multiple concurrent projects, anticipate obstacles, and make high-quality deliveries on an aggressive schedule. **Principle responsibilities** **Data Analysis** - Analyzing, processing, evaluating, and documenting large data sets - Identifying and applying appropriate machine learning/data mining/text mining techniques to uncover the value of the data - Designing data structure and data storage schemes for efficient data manipulation and information retrieval - Developing tools for data processing and information retrieval - Developing data-driven models to quantify the value of a given data set - Validating score performance - Conducting ROI and benefit analysis - Documenting and presenting model process and model performance - Applying analytical and industry knowledge to construct analytical solutions with details for internal and external clients to solve their business problems - Making independent decisions that require developing new options and troubleshooting uncertainty to solve complex problems **Problem Solving and Innovation** - Developing best practices for utilizing Company's and client data and producing new insights - Developing appropriate business assumptions for developing relevant solutions - Developing state-of-the-art topical material for Knowledge Share and relevant Roundtable discussions **Project Management** - Working independently on assignments using knowledge and work experience - Gathering input from colleagues and management to address issues within the project team - Influencing at the multiple account and project level internal and external, and may lead project and account team **Measures of Performance** - Data Analysis delivered to budgeted time, spec, and with a high level of accuracy first time - Data Analysis delivered by following best practices and processes - Documentation is in place and meeting the project standards - Team's innovation activities are supported - Best practices and guidelines updated when necessary - New methodologies and approaches are shared with the ACES team and broader analytics community - NPS score of the projects being involved meet the team targets - Own PDP targets are achieved **Requirements** - 6+ years experience with an advanced Degree or equivalent in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Maths, or other quantitative fields - Strong grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus - Understanding of how and when to apply key analytical approaches including regression analysis, machine learning, AI, deep learning, and other advanced modeling approaches to extract and automate insights from data - Strong grasp of techniques for model cross-validation and penalizing unnecessary complexity, including regularization, Bayesian shrinkage, in-sample vs out-of-sample - Fluency with statistical significance tests and Monte Carlo simulation - Ability to write near-production-level code in at least one general-purpose programming language (e.g. Python, C++) - Understanding of modern technologies in processing large data sets, including Apache family (Hadoop, Spark), latest database technologies (e.g. Graph databases, time-series databases), and natural language processing and other tools for the parsing of unstructured data - Good communication skills - A thorough understanding of a particular domain of products and services and their use by clients - Experience of working in cross-functional teams,

As a Data Scientist at WAC, you will play a crucial role in transforming intricate data into actionable insights that drive business strategies and foster innovation. Your primary responsibility will involve collaborating with diverse teams to create and implement data science solutions that align with our business objectives. Your tasks will include data exploration, where you will gather, cleanse, and preprocess data from a variety of sources to ensure its quality and reliability. Leveraging advanced statistical and machine learning techniques, you will conduct in-depth analyses to derive meaningful insights. Additionally, you will be responsible for developing, refining, and optimizing predictive models that tackle specific business challenges and opportunities. Creating visually engaging reports and dashboards to present findings to technical and non-technical stakeholders will be a key aspect of your role. You will also be involved in formulating and testing hypotheses, as well as designing and executing A/B tests to evaluate the impact of changes and enhancements. Your ability to communicate complex technical findings in a clear and understandable manner will be vital in supporting decision-makers. Collaboration will be integral to your work, as you will liaise with teams across the organization to grasp business goals and provide data-driven insights and recommendations. Continuous learning is encouraged, and staying abreast of the latest trends in data science, machine learning, and analytics will enable you to apply cutting-edge techniques and tools effectively. To qualify for this role, you should hold a Master's or Ph.D. degree in a relevant field such as Data Science, Statistics, Computer Science, or related disciplines. With a minimum of 4 years of experience in a Data Scientist or similar position, you must demonstrate proficiency in data analysis tools and languages like Python or R. A strong grasp of machine learning techniques and libraries, coupled with familiarity with data visualization tools such as Tableau or Power BI, is essential. Your problem-solving abilities, critical thinking skills, and aptitude for effective communication, especially in simplifying complex technical concepts for non-technical stakeholders, will be crucial. An understanding of data ethics and the responsible use of data is also expected from potential candidates. Thank you for your interest in joining Webandcrafts. We eagerly anticipate delving deeper into your application to assess your suitability for this role.,

The job is based in Pune, Chennai, or Kolkata and requires a minimum of 7 years of experience. As a Data Scientist, you will be working with Google Cloud Platform (GCP), Machine Learning, Artificial Intelligence (AI), and Deep Learning technologies.,

You will be responsible for developing and implementing predictive models and machine learning algorithms to address logistics-related challenges like demand forecasting, route optimization, inventory prediction, and shipment delay analysis. This involves analyzing large volumes of structured and unstructured logistics data from systems like TMS (Transportation Management Systems), WMS (Warehouse Management Systems), and ERP platforms. Your role will also include designing and maintaining dashboards and visualizations to monitor supply chain KPIs, operational performance, and model outputs using tools such as Power BI, Tableau, or similar platforms. Collaboration with logistics, operations, procurement, and IT teams will be essential to comprehend business challenges and translate them into data science solutions. You will utilize SQL, Python, R, and big data tools to extract, clean, and prepare datasets for analysis and modeling purposes. Additionally, deploying models into production and monitoring their performance to ensure accuracy and reliability over time will be part of your responsibilities. In this position, you will contribute to strategic initiatives like logistics network design, warehouse automation, and sustainability optimization. Conducting A/B testing and causal inference to evaluate changes in supply chain processes and logistics strategies will also be a key aspect of your role. This is a full-time position with benefits including health insurance and provident fund. The work schedule is during day shifts and the work location is in person.,

Senior Data Scientist JD As a Senior Data Scientist working at TTEC Digital, you will work on a team with diverse clients and industries to create data-driven solutions, develop cutting edge algorithms and provide expert insights to increase our understanding of customer behavior and needs. You will help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market. This position requires in-depth understanding and use of statistical and data analysis tools. What youll be doing: Build new analytics solutions; as well as analyze pre-existing analytic solutions, provide suggestions on how to evolve, and improve their efficiency and effectiveness Build client facing presentations to review analytic results and ability to convey technical concepts around analytic solutions to non-technical audiences in compelling story ¢ Where required, work as independent contributor on projects, managing end-to-end deliverables ¢ Handle communications with internal & external stakeholders, scope client requirements, develop analytics frameworks/solutions and implement and deploy solutions What skillsets we are looking for: ¢ 4-6 years in analytics domain developing & deploying ML/AI solutions ¢ 1+ years working on NLP projects text mining, having used LLMs, worked on Hugging Face/Transformer models; worked on publicly available LLM APIs ¢ Proficient level of understanding in machine learning and deep learning methods ¢ Excellent programming skills in Python, Pandas, PySpark & SQL ¢ Excellent communication skills ability to describe findings to technical and non-technical audience ¢ Good knowledge of MS office suite of products (Excel and PowerPoint) ¢ Ability to create end-to-end PowerPoint presentations (outline, visualization, results, summary) that are client-ready ¢ Experience with at least one of the following: Azure, GCP, Databricks, AWS; GCP is preferred Who we are: TTEC Digital Consulting is a pioneer in customer experience, engagement and growth solutions. We utilize a holistic approach, applying solutions from both our Engage and Digital segments to help companies provide an amazing experience to their customers, inspire customer loyalty, and grow their business. We provide end-to-end advisory and execution services, giving leaders the confidence and tools to re-think how to compete with a combination of our logic, intellect and ability to make sense of the data with our creativity and experience. TTEC Digital Analytics India 12th Floor, SALARPURIA SATTVA KNOWLEDGE CITY, HITEC City, Hyderabad, Telangana 500081

We're Hiring | Machine Learning Engineer | 3-6 Years Experience | Noida / Hyderabad (Hybrid) Are you an experienced ML Engineer ready to hit the ground running? Xebia is hiring for a Machine Learning Engineer role immediate joiners or candidates with 2 weeks notice only. What We're Looking For: Proven experience with AWS Machine Learning Services (e.g., SageMaker, AWS ML Suite) Solid understanding of ML model lifecycle , evaluation techniques & real-world deployment Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn Experience with SaaS-based ML platforms (like Dataiku, Indico, H2O.ai or similar) Working knowledge of AWS Data Engineering tools S3, Glue, Athena, Lambda Strong track record of delivering end-to-end ML solutions Location: Noida or Hyderabad Hybrid 3 days per week from office Note: Apply only if you are an Immediate Joiner or can join within 2 weeks. To Apply: Send your updated CV along with the below details to: vijay.s@xebia.com Full Name Total Experience Current CTC Expected CTC Current Location Preferred Xebia Location (Noida / Hyderabad) Notice Period / Last Working Day (if serving) Primary Skills LinkedIn Profile URL #Xebia #HiringNow #MachineLearning #AWSJobs #SageMaker #DataScience #Python #HybridJobs #ImmediateJoinersOnly #MLJobs #NoidaJobs #HyderabadJobs

It s not just about your career or job title It s about who you are and the impact you will make on the world. Because whether it s for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you re in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us. It s not just about your career or job title It s about who you are and the impact you will make on the world. Because whether it s for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you re in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us. Who are we? Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. Wabtec is focused on performance that drives progress and unlocks our customers potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website to learn more! Company Description: Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation and Faiveley Transport, the company has unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. Wabtec is focused on performance that drives progress, creating transportation solutions that move and improve the world. Wabtec has approximately 27,000 employees in facilities throughout the world. Visit the company s website at: http://www.WabtecCorp.com. Position Overview: We are seeking a talented Computer Vision Engineer with experience in image processing, deep learning, and software development to join our KinetiX team. The successful candidate will play a crucial role in translating existing code base to a state-of-the-art system while contributing to the development of advanced computer vision algorithms for laser and camera-based accurate detection and measurement of rail components at high speeds. Responsibilities: Develop machine vision system with Python/C++. Develop state-of-the-art computer vision algorithms, both traditional image processing and deep learning for accurate measurement and detection of rail components using laser and camera-based systems. Optimize algorithms for real-time performance and high-speed processing. Collaborate with cross-functional teams including hardware engineers, software developers, and domain experts to integrate computer vision solutions into our products. Conduct research to stay updated on the latest advancements in computer vision, deep learning, and image processing. Implement advanced AI annotation and active learning pipelines Requirements: Masters or Bachelor s degree in Computer Science or related field. 2+ years of work experience with experience in image processing, computer vision, and deep learning. Proficiency in MATLAB and strong skills in Python and/or C++ programming languages. Experience with software development tools and libraries such as OpenCV, TensorFlow, PyTorch, etc. Good understanding of deep learning techniques and algorithms. Experience with point cloud is good to have Knowledge on MLOps and DevOps would be good to have. Knowledge on any cloud platform GCP/Azure/AWS would be preferred. Excellent problem-solving skills and ability to work independently as well as in a team environment. Strong communication skills with the ability to articulate technical concepts effectively. Personal Attributes: Strong oral and written communication skills. Strong interpersonal and influencing skills. Effective team building and problem-solving abilities. Demonstrate the ability to quickly understand and learn new concepts, in analytics and other supporting technologies. Our Commitment to Embrace Diversity: To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the world s brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better. . Who are we? Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. Wabtec is focused on performance that drives progress and unlocks our customers potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website to learn more! http://www.WabtecCorp.com Our Commitment to Embrace Diversity: Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated. . .

Manager, Data Scientist, Pricing Strategy - Gurugram, Haryana, India Manager, Data Scientist, Pricing Strategy Manager, Data Scientist, Pricing Strategy About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences . Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong, Klook inspires and enables more moments of joy for travelers with over half a million curated quality experiences ranging from the biggest attractions to paragliding adventures, iconic museums to rich cultural tours, and other convenient local travel services across 2,700 destinations around the world. Do you share our belief in the wonders of travel? Our international community of over 1,800 employees, based in 30+ locations, certainly do! Global citizens ourselves, Klookers are not only curating memorable experiences for others but also co-creating our world of joy within Klook. We work hard and play hard, upkeeping our high-performing culture as we are guided daily by our 6 core values: Customer First Push Boundaries Critical Thinking Build for Scale Less is More Win as One We never settle, and together, we believe in achieving greater heights and realizing endless possibilities ahead of us in the dynamic new era of travel. Care to be a part of this revolution? Join us! As a Data Scientist within the Pricing Strategy team, you will play a pivotal role in driving data-driven decision-making and optimizing pricing strategies. You will leverage your expertise in data science and analytics to develop and implement dynamic pricing models, predictive and prescriptive analysis, ultimately contributing to revenue growth and market competitiveness. What youll do: Dynamic Pricing Model Development: Develop and implement advanced dynamic pricing models to optimize product pricing across various channels and markets. Predictive Analytics: Utilize predictive modeling techniques to forecast demand, market trends, and customer behavior, enabling proactive pricing adjustments. Prescriptive Analysis: Employ prescriptive analytics to identify optimal pricing strategies based on specific business objectives and constraints. Data Exploration and Analysis: Conduct in-depth data exploration and analysis to uncover valuable insights and inform pricing decisions. Model Evaluation and Refinement: Continuously evaluate and refine pricing models to ensure their accuracy and effectiveness. Collaboration: Collaborate with cross-functional teams (e.g., marketing, sales, finance) to align pricing strategies with overall business goals. Stay Updated : Stay abreast of the latest advancements in data science and pricing optimization techniques. What youll need: Masters degree or PhD in Data Science, Statistics, Computer Science, Economics, or a related field. A minimum of 3-4 years of relevant experience in the field of Data Science. Strong programming skills in Python or R, including proficiency in data manipulation, analysis, and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn). Experience with machine learning algorithms and techniques (e.g., regression, classification, clustering, time series analysis). Knowledge of statistical modeling and hypothesis testing. Experience with data warehousing and cloud computing platforms (e.g., AWS, GCP, Azure) is a plus. Excellent problem-solving and analytical skills. Ability to communicate complex technical concepts to both technical and non-technical audiences. Passion for data-driven decision-making and a continuous learner mindset. Klook is proud to be an equal opportunity employer. We hire talented and passionate people of all backgrounds. We believe that a joyful workplace is an inclusive workplace, one where employees from all walks of life have an equal opportunity to thrive. We re dedicated to creating a welcoming and supportive culture where everyone belongs. Klook does not accept unsolicited resumes from any temporary staffing agency, placement service or professional recruiter ( Agency ). Klook will not be responsible for, and will not pay, any fees, commissions or other payments related to such unsolicited resumes. An Agency must obtain advance written approval from Klook s Talent Acquisition Team to submit resumes, and then only in conjunction with a valid fully-executed agreement for service and in response to a specific job opening for which the Agency has been requested to submit resumes for. Klook will not be responsible for, and will not pay, any fees, commissions or other payments to any Agency that does not have such agreement in place or does not comply with the foregoing. Alert me about jobs like this Upon clicking Apply, you will be redirected to the Klook Workday application form. Please do not close your browser. We have emailed you a code to verify your identity. Please check your spam/junk folder if you dont receive the email in your inbox. Please enter your validation code: Hold on, youre being redirected to the application form. About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... Sales & Business Development About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... Hong Kong SAR Hong Kong SAR About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... Sales & Business Development About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... We have emailed you a code to verify your identity. Please check your spam/junk folder if you dont receive the email in your inbox.

Job role Data Scientist (Generative AI) Lead Experience: 4 6 years | Location: Nagpur Role Summary: We re looking for a data-science leader who can turn raw data into clear insight and innovative AI products. You ll own projects end-to-end from framing business questions and exploring datasets to deploying and monitoring models in the cloud. Along the way you ll introduce generative-AI ideas such as chat assistants and retrieval-augmented search, steer a small team of data professionals, and work closely with product, engineering, and business stakeholders to deliver measurable value. Key Responsibilities Design and build predictive & forecasting models that drive measurable impact. Plan and run A/B experiments to validate ideas and guide product decisions. Develop and maintain data pipelines that ensure clean, trusted, and timely datasets. Lead generative-AI initiatives (e.g., LLM-powered chat, RAG search, custom embeddings). Package, deploy, and monitor models using modern MLOps practices in public cloud. Establish monitoring & alerting for accuracy, latency, drift, and cost. Mentor and coach the team, conducting code reviews and sharing best practices. Translate complex findings into clear, action-oriented stories for non-technical audiences. Ensure data governance and privacy across all projects, meeting internal and industry standards. Continuously evaluate new tools & methods, running quick PoCs to keep solutions cutting-edge. Core Skills & Experience Solid foundation in statistics, experiment design, and end-to-end ML workflows. Strong Python and SQL; proven record of moving models from notebook to production. Hands-on cloud experience (AWS, Azure, or GCP) with container-based deployment and CI/CD. Practical exposure to generative-AI projects prompt engineering, fine-tuning, or retrieval-augmented pipelines.

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 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.

Experience: 5-10 Years Mode: WFO ( 5 Days ) Job Location: Bangalore Job Type: Full Time Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 5 - 10 years of experience Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development) Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred) Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows. Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results. Ability to quickly assess current state and apply technical concepts across cross-functional business workflows. Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals. Ability to translate complex data into actionable insights that drive business value. Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes. Demonstrated ability to adjust behaviour based on feedback and provide feedback to others. Team-oriented mindset with effective communication skills and the ability to work collaboratively. Department IT Department Role Functional

This website uses cookies to ensure you get the best experience. Talent Smart and our selected partners use cookies and similar technologies (together cookies ) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics and marketing purposes. You can withdraw and manage your consent at any time, by clicking Manage cookies at the bottom of each website page. Decline all non-necessary cookies Select which cookies you accept On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly. If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link Manage Cookies , that is always available at the bottom of the site. These cookies are necessary to make the site work properly, and are always set when you visit the site. These cookies collect information to help us understand how the site is being used. These cookies are used to make advertising messages more relevant to you. In some cases, they also deliver additional functions on the site. Decline all non-necessary cookies Experience: 10-15 Years Mode: WFO ( 5 Days ) Job Location: Bangalore Job Type: Full Time Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 10- 15 years of experience Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development) Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred) Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows. Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results. Ability to quickly assess current state and apply technical concepts across cross-functional business workflows. Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals. Ability to translate complex data into actionable insights that drive business value. Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes. Demonstrated ability to adjust behaviour based on feedback and provide feedback to others. Team-oriented mindset with effective communication skills and the ability to work collaboratively. Role INR2,500,000 - INR4,000,000 About Talent Smart Talent Smart Soft Solutions is a software development company that offers IT services and solutions to various sectors in India, both public and private. We partner with Fortune 50 companies and startups alike, helping them digitalize, strengthen, and revolutionize their businesses. Our professionals are dedicated to supporting clients in shaping their future through our comprehensive software development services.

This role is responsible for managing the client expectations. Strategize with various stakeholders to meet customer requirements. KEY RESPONSIBILITIES • Data Science: Develop machine learning models to support recommendation systems and NLP projects; provide actionable insights for product and service optimization. • Data Engineering: Build and maintain scalable ETL pipelines, optimize data storage solutions (data lakes, columnar formats), and ensure data accuracy for analytics. • Data Analysis and Insight Generation: Skilled in analyzing complex datasets to uncover trends and patterns; generate and present insights that drive strategic decisions and enhance client services. • Stakeholder Collaboration: Work with product and service teams to understand data needs and translate them into technical solutions. Skills/ Competencies Required Technical Skills • Proficiency with Python (Pandas, NumPy), SQL, and Java. • Experience with LLMs, LangChain, and Generative AI technologies. • Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). • Microservices, CI CD, ML • Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders. • Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools. • Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development. • Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly. Soft Skills • Work in a team/ Independently. • Excellent Written & Verbal Communication Skills • Solid critical thinking and questioning skills. • High degree of flexibility - willing to fill in the gaps rather than relying on others • Strong communication skills, especially in presenting data insights. • Flexibility, problem-solving, and a proactive approach in a fast-paced environment

Internship Raipur, Bengaluru Posted 2 months ago SUBHAG HEALTHTECH PVT LTD SUBHAG® HealthTech has developed a cutting-edge medical device that enables couples to perform Intra Uterine Insemination (IUI) discreetly in a home environment. This innovative solution aims to address male infertility issues without the need to visit a doctor, expanding infertility treatment through home-based IUI and disrupting the IVF market. With a focus on revolutionizing infertility treatment in India, SUBHAG® HealthTech is dedicated to providing comfortable and effective medical solutions to couples facing fertility challenges. Job Description Essential Responsibilities Create, analyze and maintain explanatory/predictive Data Science models using healthcare data in the Infertility segment Work with real-world case studies in Data Science and a chance to implement various modeling techniques Get real-life experience of working with big data in the digital marketing sphere. Opportunity to independently execute and lead analytical projects and assignments Help solve some challenging Healthcare related digital marketing problems globally. Transform business question into data requirements; collect and merge the data; analyse the data, link it to the business reality and present the results Develop predictive models and machine learning algorithms to study the change in physician prescribing behaviour, as well as Subhag Healthtech, integrated campaign response behaviour. Build analysis to understand user engagement and behaviors across various Subhag Healthtech products. Build expertise in data preparation, data visualisations and transformations through SAS, R, Tableau and other analytical tools. Required Qualifications Must have: B. Tech/B.E. / MSc Computer science/ Statistics/other relevant specialization from premier institutes 5 -7 years’ experience explicitly in Data Analytics – Design, Architecture and the software development lifecycle. Expertise in AWS compute, storage & Big data services EMR, Spark, Redshift, S3, Glue, Step Functions, Lambda serverless, EKS, SageMaker, Dynamo DB etc. Experience in one or more ETL like Informatica Experience in Data warehousing, Data & Dimensional modeling and concepts. Experience in one or more data visualization tool like Tableau, Spotfire etc. Good understanding of enterprise source systems ERP, CRM-etc. Experience in Python or Core Java, Java Web Services development with REST APIs Demonstrated ability to translate user needs and requirements into design alternatives Hands-on experience in Natural Language Processing and Deep Learning projects Experience in healthcare sector Requirement Knowledge of existing and potential clients and ensuring business growth opportunities in relation to company’s strategic plans. Well connected with Pharma/ Surgical Equipment Distributors, Hospitals, Doctors in the region Excellent knowledge of MS Office and using the Internet Familiarity with CRM practices along with ability to build productive business professional relationships Highly motivated and target driven with a proven track record in marketing Excellent marketing and communication skills Prioritizing, time management and organizational skills Relationship management skills and openness to feedback. To apply for this job email your details to hr@subhag.in

Job Summary: We are seeking a dynamic and experienced AI Engineer / Data Scientist with 2 years of relevant experience in developing and deploying machine learning and AI models. The ideal candidate should have hands-on skills in Python, ML frameworks, and real-time project implementation. Youll work on end-to-end AI/ML projects across industries, solving real-world problems using data-driven insights. Key Responsibilities: Develop, implement, and optimize AI and Machine Learning models for various business applications. Perform data collection, preprocessing, cleaning, and feature engineering. Analyze large datasets to extract meaningful patterns and insights. Train, validate, and test predictive models to ensure accuracy and performance. Deploy models using tools like Flask, Streamlit, Docker, or other relevant frameworks. Collaborate with data scientists, engineers, and stakeholders to align models with business goals. Continuously evaluate model performance and implement improvements. Document code, workflows, and AI pipelines for reproducibility. Keep up-to-date with the latest advancements in AI, Data Science, and ML frameworks. Required Skills and Qualifications: Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Minimum 2 years of hands-on experience in AI / Data Science projects. Proficient in Python and data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn). Strong understanding of Machine Learning algorithms – Regression, Classification, Clustering, etc. Experience in at least one deep learning framework: TensorFlow, PyTorch , or Keras . Good understanding of statistics, data visualization, and EDA (Exploratory Data Analysis). Strong skills in SQL and working with relational databases. Experience in model deployment (Flask, Streamlit, Docker – basic to intermediate level). Excellent communication skills and a problem-solving mindset. Preferred (Nice-to-Have) Skills: Experience with cloud platforms such as AWS, Azure, or GCP. Exposure to MLOps tools , CI/CD pipelines for AI/ML. Knowledge of NLP, Computer Vision , or Time Series Forecasting . Familiarity with big data technologies (Apache Spark, Hadoop). Use of version control tools like Git in project workflows. Why Join Us: Opportunity to work on live AI projects with real business impact. Strong mentorship from senior industry experts. Continuous learning and development in AI, Data Science, and MLOps. Flexible, collaborative, and innovative work culture. Competitive compensation and growth opportunities.

As a Senior Data Scientist at AjnaLens in Thane (Maharashtra, India), you will play a crucial role in the Product Intelligence team. Your responsibilities will include delving deep into complex data, shaping product strategy, mentoring junior data scientists, and influencing strategic decisions. Your expertise in transforming data into actionable insights will contribute to the development of AI-powered experiences and wearable technologies, shaping the future of technology. In this leadership role, you will lead data analysis efforts to uncover insights that drive product and business strategy. Developing and implementing advanced predictive models will be a key aspect of your role, enabling long-term forecasting of customer retention and revenue impacts. Additionally, you will mentor and guide junior data scientists, fostering a data-driven culture within cross-functional teams. With a minimum of 5 years of experience in data science, you are expected to have a proven track record in predictive modeling, A/B testing, and driving data strategy within product teams. Your top skills should include expertise in advanced predictive modeling techniques, statistical analysis, and leading data-driven initiatives. Experience with A/B testing frameworks, customer behavior analytics, and effective communication skills are essential for translating complex findings into actionable recommendations for leadership and product teams. Your primary tasks will involve leading the design and implementation of data models to predict product performance, retention rates, and revenue growth. Conducting advanced statistical analysis to optimize AI features and interactions, mentoring junior data scientists, collaborating with cross-functional teams, and creating insightful dashboards and visualizations will be part of your daily responsibilities. Join us at AjnaLens as we co-create the future of conscious technology with our strategic investor Lenskart.,