3566 Data Scientist Jobs - Page 44

Location - Bangalore/ Gurgaon Skills/ Qualifications Required: Relevant experience in data science/ data analytics role with an end-to-end understanding of ML based project’s development & implementation Proficient in building and deploying Machine Learning (Predictive & Prescriptive modelling) , NLP Expertise in Demand Forecasting Proficient in tools / languages like SQL, Python & PySpark Good understanding of Probability & Statistics Hands-on experience in Azure Good communication skills Job Responsibilities Data collation, processing, cleaning & transformation along with feature engineering and model development. Hands-on with model training, evaluation & fine tuning. Ensure output’s thorough quality check & provide analytics driven insights and next steps in involved project(s) Develop & implement various customer segmentation, LTV & marketing campaign optimization models. Actively own & manage client deliverables. Effectively engage with client & translate client business requirements into equivalent analytical problems. Understand data and different platforms used by the client. Actively contribute towards design methodology for problem solving. Analyze large & complex data sets to derive valuable insights.

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT’s Global Data & Analytics Team, and the Data Scientist/Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. ___________________________________________________________________________________________________________ Department: Data & Analytics Location: Cyber Hub, Gurugram, Haryana (5 days in office) Job Type: Permanent, Full-Time (40 Hours) Reports To: Senior Manager Data Science & Analytics ____________________________________________________________________________________________________________ About The Role The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Roles & Responsibilities Analytics & Strategy Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Operational Excellence Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses. Stakeholder Engagement Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Job Requirements Education Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience 3 - 4 years for Data Scientist Relevant working experience in a data science/advanced analytics role Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.) Statistical modelling using Analytical tools (R, Python, KNIME, etc.) Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference. Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.) Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Microsoft Office applications (MS Excel, etc.)

Deputy Manager - Generative AI About VOIS VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Groups partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VOIS has evolved into a global, multi-functional organization, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. VOIS India In 2009, VOIS started operating in India and now has established global delivery centers in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VOIS India supports global markets and group functions of Vodafone and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Mode: Hybrid Location: Bangalore / Pune Experience 5 to 8 years Core Competencies, Knowledge and Experience: Minimum experience of 4 years in data science. • Excellent communication & presentation skills with track record of engaging with business project leads • Flexibility and problem solving • Previous experience in Telecom would be a distinct advantage • Graduate from tier-1 or tier-2 college preferred with good academic record Must have technical / professional qualifications: Hands on experience in Analytical tools like Python with through knowledge of various machine learning, analytical & statistical techniques o Expert in Python • Hands on experience in NLP and Generative AI tools and large language models (LLMs) like gemini, PALM, open source LLMs, transformers. • Good to have Cloud GCP/AWS or Big Data technologies (e.g. Hadoop, Hive, Pig, etc.) • Need to be worked on minimum 3 modelling projects till now in different areas: o Predictive Modelling Mandatory kin actual business projects with monetary impact • Exceptional data manipulation and analysis techniques; comfortable using very large (>10s millions rows) datasets, containing both structured and unstructured data • Machine Learning, Deep Learning, Clustering & Segmentation, Binary & Multi-Class Classification, ML Forecasting & Regression Models • Good stability in employments and from reputed tier-1 employers in past. Key accountabilities and decision ownership: Support build & deployment of analytical solutions (models, hypothesis, analyses & scenarios) across the spectrum of analytical maturity - descriptive, inferential, predictive & prescriptive • Leverage previously created data models, insights and analyses from across the Vodafone business to drive positive business outcomes • Drive efficiencies in how analytical services are delivered, through automation and standardisation of analytical delivery VOIS Equal Opportunity Employer Commitment VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 5 Best Workplaces for Diversity, Equity, and Inclusion, Top 10 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 14th Overall Best Workplaces in India by the Great Place to Work Institute in 2023. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch!

About Sagility Sagility combines industry-leading technology and transformation-driven BPM services with decades of healthcare domain expertise to help clients draw closer to their members. The company optimizes the entire member/patient experience through service offerings for clinical, case management, member engagement, provider solutions, payment integrity, claims cost containment, and analytics. Sagility has more than 25,000 employees across 5 countries. To conduct data science projects, develop models, and contribute to decision-making processes. Data Scientists work on implementing advanced solutions and ensuring the accuracy and reliability of data science models. Job title: Data Scientist Job Description: Education: Graduate or a bachelor's degree in computer software engineering, computer science, or mathematics or any other equivalent degree. Experience: 6 - 10 Years Roles & Responsibilities: Design, Lead and execute data science projects, including model development and evaluation. Collaborate with cross-functional teams to gather data science requirements and develop solutions. Implement data science principles and best practices. Troubleshoot and debug data science models. Contribute to documentation and participate in code reviews. Mandatory Skills : Excellent communication skills, both written and verbal Proficient in one or more data analytic programming languages Excellent analytical and problem-solving skills Proficient in data science tools and techniques Understanding of machine learning concepts Ability to work with a diverse cross-functional team Ability to create and maintain documentation for data science processes. Preferred Skills : Hands-on experience with machine learning frameworks Knowledge of advanced statistical analysis techniques Experience with big data technologies Familiarity with data modeling and transformation Interest in advanced data science methodologies. Mentorship and coaching abilities. Location: BangaloreIndia

Assistant Manager - Generative AI About VOIS VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Groups partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VOIS has evolved into a global, multi-functional organization, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. VOIS India In 2009, VOIS started operating in India and now has established global delivery centers in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VOIS India supports global markets and group functions of Vodafone and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Mode: Hybrid Location: Bangalore / Pune Experience 2 to 5 years Core Competencies, Knowledge and Experience: Minimum experience of 4 years in data science. • Excellent communication & presentation skills with track record of engaging with business project leads • Flexibility and problem solving • Previous experience in Telecom would be a distinct advantage • Graduate from tier-1 or tier-2 college preferred with good academic record Must have technical / professional qualifications: Hands on experience in Analytical tools like Python with through knowledge of various machine learning, analytical & statistical techniques o Expert in Python • Hands on experience in NLP and Generative AI tools and large language models (LLMs) like gemini, PALM, open source LLMs, transformers. • Good to have Cloud GCP/AWS or Big Data technologies (e.g. Hadoop, Hive, Pig, etc.) • Need to be worked on minimum 3 modelling projects till now in different areas: o Predictive Modelling Mandatory kin actual business projects with monetary impact • Exceptional data manipulation and analysis techniques; comfortable using very large (>10’s millions rows) datasets, containing both structured and unstructured data • Machine Learning, Deep Learning, Clustering & Segmentation, Binary & Multi-Class Classification, ML Forecasting & Regression Models • Good stability in employments and from reputed tier-1 employers in past. Key accountabilities and decision ownership: Support build & deployment of analytical solutions (models, hypothesis, analyses & scenarios) across the spectrum of analytical maturity - descriptive, inferential, predictive & prescriptive • Leverage previously created data models, insights and analyses from across the Vodafone business to drive positive business outcomes • Drive efficiencies in how analytical services are delivered, through automation and standardisation of analytical delivery VOIS Equal Opportunity Employer Commitment VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 5 Best Workplaces for Diversity, Equity, and Inclusion, Top 10 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 14th Overall Best Workplaces in India by the Great Place to Work Institute in 2023. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch!

Role - Python Developer Location - Hyderabad Notice Period - Immediate to 30 Days Skills - Python, Numpy, Pandas, Json, Github. Job Summary We are seeking an experienced Python Developer with 5- 11 years of experience to join our team. The ideal candidate will have a strong background in Python, Json and Github experience.

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT’s Global Data & Analytics Team, and the Data Scientist/Senior Data Scientist will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. ___________________________________________________________________________________________________________ Department: Data & Analytics Location: Cyber Hub, Gurugram, Haryana (5 days in office) Job Type: Permanent, Full-Time (40 Hours) Reports To: Senior Manager Data Science & Analytics ____________________________________________________________________________________________________________ About the role The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Roles & Responsibilities Analytics & Strategy Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Operational Excellence Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses. Stakeholder Engagement Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Job Requirements Education Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience 3 - 4 years for Data Scientist Relevant working experience in a data science/advanced analytics role Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.) Statistical modelling using Analytical tools (R, Python, KNIME, etc.) Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference. Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.) Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Microsoft Office applications (MS Excel, etc.) #LI-DS1

Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. Job Location Gurgaon /Mumbai What do we expect from you? Analyze & interpret data and communicate results to clients, often with the aid of Mathematical/statistical techniques and software. This role requires: Data exploration, statistical/ predictive modelling, data analysis and hypothesis testing. Design, development and deployment of Predictive models and frameworks. Complex statistical concepts are explained in a way that clients can understand and advice on strategy. What do you need to excel at? Well-versed in quantitative analysis, data mining, trend analysis, customer profiling, clustering and predictive modelling. Executing the data-driven planning process by building models and frameworks that connect business unit drivers to company financials and forecast to take the correct decision as per the business need. Should be able to handle assigned tasks in the capacity of individual contributor. Demonstrate excellent teamwork. Collaborate with other data analysts to provide development coverage, support, and Knowledge sharing and mentoring of junior team members. What are we looking for? Bachelor's in Computer Science, Engineering, Statistics, Maths or related quantitative degree. 3-5 years of relevant experience in a data analysis or related role. Experience in BFSI and CPG Domain is Preferred. Experience of data pre-processing and data manipulation using Python or SQL Should have some experience of statistical analysis and modeling techniques (e.g., regression, classification, clustering). Experience with machine learning, deep learning frameworks and libraries ( good to have) Familiarity with data processing tools and frameworks Experience with data visualization tools like Tableau or Power BI. Track record of managing data project delivery including ability to meet deadlines, overcome challenges, manage stakeholder expectations, and produce clear deliverables Strong problem-solving skills with a keen attention to detail. Ability to think critically and provide data-backed insights. Excellent communication skills, both verbal and written. Understanding of Cloud Platforms (e.g. Azure / AWS/GCP) and ability to use them for developing, training and testing deep learning models ( good to have) Familiarity with cloud-based data warehousing platforms (snowflake) ( good to have)

Join our Team About this opportunity: Welcome to an exciting opportunity at Ericsson, where youll be stepping into the role of a Data Scientist. As part of our team, youll have the opportunity to develop unique machine learning solutions that address complex business issues. Youll employ scientific methods, processes, and systems to reveal valuable insights and pave the way for the future of applied analytics. Direct your prowess in machine learning towards formulating innovative AI/ML solutions that are consistent with Ericssons architectural and coding standards. What you will do: - Implement technical requirements by analyzing and optimizing their needs while managing any constraints effectively. - Build predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems. - Proficiency in machine learning concepts and programming languages such as Python, Pyspark, SQL, amongst others. - Develop solutions using on-premise and cloud-based machine learning. - Collaborate with business leaders and decision-making personnel to define success metrics and originate ML solutions that fit the bill. - Mentor emerging data scientists and foster a community of machine learning enthusiasts within Ericsson. The skills you bring: - DevSecOps. - Business Understanding. - Artificial Intelligence Systems. - Software Engineering. - Data Management. - Ericsson Business Intelligence and Analytics Competence. - Open-Source Programming Languages. - Data Preprocessing. - Statistics. - Cloud Development. - Machine Learning Algorithms. Why join Ericsson? What happens once you apply? Primary country and city: India (IN) || Bangalore Req ID: 769882

Role & Responsibilities: Experience of working on end-to-end data science pipeline with the ability to clearly design efficient data models, training data samples, training pipelines and inference pipelines to ensure reproducibility. Strong experience in evaluating different types of AI/ML outputs and models (recommender systems, similarity scoring, classification and regression). Should be able to break down complex business problems into sub-tasks that can be solved with AI/ML to enable decision making at scale. Should have good grasp on statistical concepts and empirical methods that drive post-modeling decisions like sorting, ranking , selection etc. Should have good experience in converting PoCs and experimented models into production grade AIML systems , have the ability to collaborate effectively with ML engineering and MLOPs teams to take AI/ML models to production, build and serve models through APIs and support integration of AI/ML models into web-aps. Ability to lead mid-sized teams, plan project tracks around AI/ML and data science and balance delegation and hands-on development. Experience in taking first principles approach to solving data science problems, understand and communicate data requirements to data engineering teams and explain model outputs to business users. Ability and experience in engaging business users to understand requirements and translate them into technical data science problems. Be exceptional at communicating and translating model algorithms and their outputs to non-technical users and stakeholders. Fluent in agile ways of working and agile project management practices. Should be comfortable to create efficient user stories, and other agile project artifacts.

We are looking for a Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You - experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 2 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements About the Team You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. Hours of Work This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their teams hybrid work schedule requirements. Wayfair Data Science is the engine that powers an enterprise obsessed with data. The Wayfair websites generate over 100M clicks from the millions of customers that visit our sites every day to discover and purchase home goods. The Customer Tech Data Science team is focused on understanding and optimizing customer behavior on the website and mobile application as a key enabler for the company to move fast and iterate quickly on big business problems. At their core, the Customer Tech Data Science team at Wayfair are strong in quantitative analysis, enjoy coding but also want to balance that with their interest in business and applying advanced modeling techniques. They think critically to tackle complex challenges, thrive in a fast-paced environment and are seeking a high-growth opportunity where they will have an immediate impact on day one. There are significant opportunities for new team members to emerge as leaders, taking on additional projects and responsibilities with strong performance. What You ll Do: As a Data Scientist, you ll play a critical role in uncovering insights that shape strategic decisions and improve business performance. You will explore data trends, diagnose gaps, and identify growth & innovation opportunities across Wayfair s data. Your work will directly impact how the company understands performance and makes data-informed decisions. Conduct in-depth analysis across large-scale datasets (clickstream, sales, product, logistics, and customer data) to uncover trends, gaps, and business opportunities. Champion the use of emerging technologies - including GenAI and LLMs - to transform how we explore data and uncover insights, unlocking new ways to accelerate analysis, automate complex workflows, and make insights more accessible and actionable across the business. Become a subject matter expert on key business metrics and customer behavior, ensuring accurate interpretation and analysis. Drive innovation in business analysis by adopting and implementing new methodologies (e.g., key driver analysis, anomaly detection, forecasting, cohorting). Establish robust KPI tracking and anomaly detection systems to ensure early identification of emerging issues and opportunities. Collaborate with cross-functional partners including Business Strategy, Product, and Engineering to uncover actionable insights that drive growth and improve customer experience. Design, run, and interpret A/B tests to make high-impact changes to the customer experience. Build, automate, and maintain scalable dashboards and reports using tools like Looker, BigQuery (GBQ), SQL and Python to enable efficient and self-serve data access for stakeholders. Develop optimized and maintainable code pipelines to transform multi-terabyte data into meaningful business insights and recommendations. What Youll Need: Bachelors in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline; Masters preferred. 2 - 4 years of work experience in a relevant field, such as analytics or data science. Proficient knowledge of a statistical programming language such as Python, R, SAS, or SPSS. Proficient knowledge of SQL (incl. Aggregate functions, joins, etc.). Experience conducting quantitative analyses on large and complex data sets. Experience in leveraging modeling algorithms to derive business insights. Experience with experimental test design such as A/B testing. Experience with data visualization software (e.g. Google Data Studio, Tableau, PowerBI); experience with Looker a plus. Analytical, creative, and innovative approach to solving problems. Strong written and verbal communication. Ecommerce or retail analytics experience is a plus. .

Designation: Data Scientist Location: Gurugram Experience: 3+ years Budget: Upto 35 LPA Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow, specifically for virtual try-on applications with a focus on draping and fabric simulation. Task-Specific Modeling: Build models for tasks such as Natural Language Processing (NLP), Speech-to-Text (STT), and Text-to-Speech (TTS) that integrate seamlessly with computer vision applications in the virtual try-on domain. Image Processing: Implement advanced image processing techniques including enhancement, compression, restoration, filtering, and manipulation to improve the accuracy and realism of draping in virtual try-on systems. Feature Extraction & Segmentation: Apply feature extraction methods, image segmentation techniques, and draping algorithms to create accurate and realistic representations of garments on virtual models. Machine Learning Pipelines: Develop and maintain ML pipelines for data ingestion, processing, and transformation to support large-scale deployments of virtual try-on solutions. Deep Learning & Draping: Build and train convolutional neural networks (CNNs) for image recognition, fabric draping, and texture mapping tasks crucial to the virtual try-on experience. AI Fundamentals: Leverage a deep understanding of AI fundamentals, including machine learning, computer vision, draping algorithms, and generative AI (Gen AI) techniques to drive innovation in virtual try-on technology. Programming: Proficiently code in Python and work with other programming languages like Java, C++, or R as required. Cloud Integration: Utilize cloud-based AI platforms such as AWS, Azure, or Google Cloud to deploy and scale virtual try-on solutions, with a focus on real-time processing and rendering. Data Analysis: Perform data analysis and engineering to optimize the performance and accuracy of AI models, particularly in the context of fabric draping and garment fitting. Continuous Learning: Stay informed about the latest trends and developments in machine learning, deep learning, computer vision, draping technologies, and generative AI (Gen AI), applying them to virtual try-on projects. Skills Required: Experience: Minimum of 5 years in Computer Vision Engineering or a similar role, with a focus on virtual try-on, draping, or related applications. Programming: Strong programming skills in Python, with extensive experience in Pytorch and TensorFlow. Draping & Fabric Simulation: Hands-on experience with draping algorithms, fabric simulation, and texture mapping techniques. Data Handling: Expertise in data pre-processing, feature engineering, and data analysis to support high-quality model development, especially for draping and virtual garment fitting. Deep Neural Networks & Gen AI: Extensive experience in working with Deep Neural Networks, Generative Adversarial Networks (GANs), Conditional GANs, Transformers, and other generative AI techniques relevant to virtual try-on and draping. Advanced Techniques: Proficiency with cutting-edge techniques like Stable Diffusion, Latent Diffusion, InPainting, Text-to-Image, Image-to-Image models, and their application in computer vision and virtual try-on technology. Algorithm Knowledge: Strong understanding of machine learning algorithms and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, natural language processing, and generative AI.

We are looking for a Senior Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You - experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 4 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements About the Team You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. Hours of Work This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.

Senior Data Scientist I Are you interested in working with data and analytics to solve problems? Are you interested in bringing your Gen AI, Machine Learning and NLP expertise to projects? About our Team Data Science Health Content Operations team works with a focus on Generative AI, Machine Learning, Natural Language Processing, and Statistical techniques. It helps in building state of the art applications for the health sciences domain. About the Role As a Senior Data Scientist, you will play a pivotal role in the development and deployment of cutting-edge Generative AI models and solutions. You will be responsible for building, testing, and maintaining our Generative AI, Retrieval Augmented Generation (RAG) and Natural Language Processing (NLP) solutions. This includes evaluating their performance and implementing guardrails to ensure ethical and responsible use of AI technologies. You will engage in the entire life cycle of data science projects, including design, implementation, evaluation, productionisation and ongoing enhancement. A key focus of your work will be on the customization and optimization of existing RAG pipelines to support applications that involve content ingestion, machine translation, and contextualized information retrieval. Experience with end-to-end model deployment, including leveraging AI agents, Model Context Protocol (MCP) for effective context management, and cloud platforms such as AWS (including AWS Bedrock), Azure, or similar services, is a strong plus. Your deliverables will include efficient, production-ready Python code, with experience in Java considered an asset. You will collaborate closely with Subject Matter Experts (SMEs) and the technology team to deploy and operationalize our data science pipelines. This role requires a strong foundation in Natural Language Processing (NLP), Machine Learning, Transformer models and Generative AI, as well as proficiency in Python. Responsibilities Collect data, perform data analysis, develop models, define quality metrics, and conduct quality assessments of models, along with regular presentations to stakeholders. Create production-ready Python packages for each component of data science pipelines (e.g., pre-processing, model inference, evaluation) and coordinate their deployment with the technology team. Design, develop, and deploy Generative AI models and solutions that meet specific business needs. Expertise in Retrieval Augmented Generation (RAG) optimization and customization of existing RAG pipelines to meet specific project needs. Proficiency in large-scale data ingestion, preprocessing, and transformation of multilingual content to ensure high-quality inputs for downstream models. Build AI Agentic models with RAG pipeline. Fine-tune large language models (LLMs) and transformer models to enhance accuracy and relevance. Implement guardrails and evaluation mechanisms to ensure responsible and ethical AI usage. Conduct rigorous testing and evaluation of AI models to ensure high performance and reliability. Integrate data science components and ensure end-to-end quality assessment. Maintain the robustness of data science pipelines against model drift and ensure consistent output quality. Establish a reporting process for pipeline performance and develop automatic re-training strategies for existing pipelines. Work collaboratively with cross-functional teams to integrate AI solutions into existing products and services. Mentor junior data scientists and contribute to the knowledge-sharing culture within the team. Stay up-to-date with the latest advancements in AI, machine learning, and NLP technologies. Requirements Master s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field. 7+ years of relevant applied experience in data science, with a focus on Generative AI, NLP, and machine learning. Proficiency in Python for data analysis, model development, and deployment. Strong experience with transformer models and fine-tuning techniques for large language models (LLMs). Proficiency in Generative AI technologies, including utilizing LLMs via API access, LLM evaluation tools, and prompt engineering. Knowledge of various RAG pipelines and their practical implementation. Experience building Agentic RAG systems is strong requirement. Experience with AI agent management frameworks such as LangChain, AutoGen, Haystack, MCP, or similar tools. Experience with advanced algorithms in deep learning, neural networks, reinforcement learning, and transfer learning. Familiarity with traditional machine learning algorithms such as random forests, SVM, logistic regression, and Bayesian modelling for model building, validation, and testing. Understanding of AI ethics, guardrail implementation, and evaluation metrics. Familiarity with cloud platforms (e.g., Bedrock, AWS, Azure) for model deployment and the creation of production-ready pipelines. Proficiency in data visualization tools and techniques. Experience with version control systems (e.g., GitLab or GitHub), Jira, and working in an Agile environment. Proficient in using *nix systems, open-source software, Jupyter Notebook, libraries, and cloud computing. Excellent problem-solving and analytical skills, with strong attention to detail. Strong communication skills and the ability to work effectively in a team-oriented environment.

About this opportunity: Welcome to an exciting opportunity at Ericsson, where youll be stepping into the role of a Data Scientist. As part of our team, youll have the opportunity to develop unique machine learning solutions that address complex business issues. Youll employ scientific methods, processes, and systems to reveal valuable insights and pave the way for the future of applied analytics. Direct your prowess in machine learning towards formulating innovative AI/ML solutions that are consistent with Ericssons architectural and coding standards. What you will do: - Implement technical requirements by analyzing and optimizing their needs while managing any constraints effectively. - Build predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems. - Proficiency in machine learning concepts and programming languages such as Python, Pyspark, SQL, amongst others. - Develop solutions using on-premise and cloud-based machine learning. - Collaborate with business leaders and decision-making personnel to define success metrics and originate ML solutions that fit the bill. - Mentor emerging data scientists and foster a community of machine learning enthusiasts within Ericsson. The skills you bring: - DevSecOps. - Business Understanding. - Artificial Intelligence Systems. - Software Engineering. - Data Management. - Ericsson Business Intelligence and Analytics Competence. - Open-Source Programming Languages. - Data Preprocessing. - Statistics. - Cloud Development. - Machine Learning Algorithms. Primary country and city: India (IN) || Bangalore Req ID: 769882

Job Summary This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists. Job Description Essential Responsibilities Lead the development and implementation of advanced data science models. Collaborate with stakeholders to understand requirements. Drive best practices in data science. Ensure data quality and integrity in all processes. Mentor and guide junior data scientists. Stay updated with the latest trends in data science. Minimum Qualifications Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience. Preferred Qualification Strong analytical and problem-solving mindset , with a degree in a quantitative field such as Data Science, Computer Science, Engineering, Statistics, Mathematics, Economics, or a related discipline 4+ years of experience in Product Data Science, including A/B testing and experimentation, advanced analytics, and applied machine learning Proven track record of partnering with Product teams in domains such as Payments, eCommerce, or SaaS to shape product strategy, inform roadmaps, and deliver impactful data-driven insights Advanced proficiency in SQL and Python , with expertise in working with large-scale, complex datasets to derive actionable insights Deep experience analyzing high-volume, high-dimensional real-world data , with a focus on scalability and business impact Hands-on experience with modern data tools and platforms such as Jupyter Notebooks, BigQuery, Teradata, Hadoop, or Hive is highly desirable Exceptional communication and data storytelling skills , with the ability to distill complex findings for both technical and non-technical audiences and influence cross-functional decision-making Highly motivated and self-directed , with a strong passion for experimentation, product thinking, and navigating ambiguity in a fast-paced environment Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Work Mode: Hybrid(3days WFO & 2 days WFH) Proven implementation experience in Data Science, Machine Learning, Deep Learning, and NLP for multiple domains. Strong programming skills in Python, with experience in libraries such as Transformers (Hugging Face), PyTorch, or TensorFlow. 6+ years of experience in data science, with at least 2 years focused on LLMs or Generative AI. Hands-on experience with fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation. Familiarity with vector databases and embedding techniques. Experience deploying models using APIs, Docker, and cloud platforms Strong analytical, problem-solving, and communication skills. Experience in ML Ops, Model deployment, Model lifecycle and management. Also need 1 month or less CTC candidates .

Data Scientist Position Overview We are seeking an experienced Data Scientist 4 to join our team. In this role, you will manage the entire data science lifecycle, including data acquisition, preparation, model development, deployment, and monitoring. You will apply advanced techniques in Python programming, machine learning (ML), deep learning (DL), and generative AI to address complex challenges and develop high-impact solutions. Your role will involve leading projects, collaborating with cross-functional teams, and driving data-driven decision-making across the organization. Responsibilities Advanced Model Development: Design, develop, and implement sophisticated machine learning and deep learning models for applications such as customer churn prediction, recommendation systems, and advanced anomaly detection. Programming and Libraries: Utilize Python and its advanced libraries (e.g., TensorFlow, PyTorch, Scikit-learn) to build and optimize models. ¢ Generative AI Exploration: Leverage cutting-edge generative AI techniques to create innovative solutions for complex problems and enhance engagement strategies. ¢ Leadership and Collaboration: Lead cross-functional teams, including product managers, engineers, and data analysts, to translate business needs into effective data-driven solutions. ¢ Integration and Deployment: Oversee the integration of models into production systems, ensuring seamless deployment and performance. ¢ Pipeline Management: Develop and maintain robust data pipelines for ingestion, transformation, and model training. ¢ Performance Monitoring: Continuously monitor model performance, conduct evaluations, and implement improvements as necessary. ¢ Communication and Strategy: Communicate complex technical concepts clearly to stakeholders and contribute to strategic data science initiatives. ¢ Best Practices and Innovation: Drive the development of best practices, tools, and frameworks for data science and machine learning, staying abreast of industry advancements. Qualifications - Required ¢ Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field. ¢ 7+ years of experience in data science, machine learning, or a relevant domain. ¢ Proficiency in Python programming and extensive experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn). ¢ Proven track record of delivering production-ready AI/ML solutions. ¢ Strong expertise in machine learning and deep learning algorithms and techniques. ¢ Experience with generative AI models and advanced data science techniques. ¢ Proficiency in data manipulation, analysis, and visualization using Python libraries (e.g., Pandas, NumPy, Matplotlib). ¢ Experience with cloud platforms and big data technologies (e.g., AWS). ¢ Excellent problem-solving, analytical, and leadership skills. ¢ Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences. Qualifications - Preferred ¢ Experience with advanced techniques such as graph neural networks, reinforcement learning, or similar. ¢ Familiarity with agile development methodologies and DevOps practices. ¢ Experience with containerization technologies (e.g., Docker, Kubernetes). ¢ Contributions to open-source projects or published research in machine learning, deep learning, or generative AI. ¢ Experience working with government or public sector data. ¢ Proficiency with data visualization tools (e.g., Tableau, Power BI).

Technical Stack: Python, SQL, BigQuery, Vertex AI, Git, LangChain, OpenAI. Cloud: Hands-on with GCP (preferred), Azure. MLOps & Orchestration: MLflow, Kubeflow, Airflow, Docker. ML Techniques: Supervised ML, Deep Learning, GenAI, CI/CD. Required Candidate profile Puran Bisht 9311131757

6+ years of IT experience with a min of 3+ years in Data Science Strong programming skills in Python Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization Comfortable working in the cloud and high-performance computing environments (e.g., AWS/Azure/GCP, Databricks). Note: SLCA, we need person with both strong technical skills and communicate with stakeholders.

Role & responsibilities 5 Years -11 Years Joining location - Pune Notice period - immediate to 60days Primary Skills Data Science, Python, Machine Learning Mandatory Skills Deep Learning/NLP, Computer Vision, Gen AI/LLM, Cloud (AWS / Azure / GCP) Core Skills Python, NLP, LLMs, Data Science Must-Have Experience with LLM-based Gen AI applications, prompt engineering, Langchain and/or Llama-index Nice-to-Have BERTopic/Topic Modelling, HuggingFace, Responsible AI concepts Preferred candidate profile

Desired Qualification & Expertise 2+ years of hands on experience in building Machine Learning models Masters (MTech/ME/MSC) in Computer Science/Information Technology or other quantitative disciplines from Tier 1/ Tier 2 institutes (IIT, IIIT, NIT, BITS, or other premiere institutions) End to end deployment of supervised/unsupervised ML algorithms -Logistic Regression / kNN /KMeans/Random Forest / SVM/XG Boost/Nave Bias/Time series forecasting etc. Excellent programming skills in Python is mandatory Hands-on experience on R is good to have Experience in working with cloud infrastructure and high-performance computing (GPU/TPU) be a plus How do you know that you are fit for this role? •You have a hands-on experience using python for data science projects •YouhaveexecutionknowledgeofMachineLearning/Deeplearningalgorithmsusing PySpark, Scikit-learn, and Tensor Flow etc. •YouhavebeenpartofateamdevelopingAI-MachineLearningtechnologieswitha strongbackgroundinadvancedmathematicalconceptsandequallygood understanding of algorithms. •You can work with a lean team internally, and you are a self-starter.

Skills required: Independent problem solving on small/medium-scale projects Knowledge of advanced statistical methods and machine learning Able to work with large datasets in cloud environments Strong technical communicator who is comfortable troubleshooting very complex data problems in large data pipelines and communicating to a non-technical audience Strong SQL and Python skills Hands-on experience with Large Language Models (LLMs) implementation and Retrieval-Augmented Generation (RAG)-based AI agents Experience required: Extensive statistical training Experience in digital marketing or related field preferable Experience with UX analyses Experience with digital behaviour analytics Experience with AWS machine learning services Deep familiarity with employing different statistical performance measures and understanding the benefits/trade-offs of each Experience gathering requirements and presenting results to stakeholders Nice to have: Tableau skills Experience with Airflow, Google Auto ML, and AWS SageMaker Familiarity with Azure services

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role- This role will drive critical business insights for senior leadership to tackle key strategic questions and improve how we operate as a business. You will facilitate important changes that will shape the future of PayPal leveraging data and AI to drive next-level fraud risk insights. Meet our team Join PayPal’s Global Fraud Protection team, a dynamic and mission-critical group dedicated to safeguarding our platform and customers from a wide range of risks—including identity fraud, account takeovers, stolen financial information, and credit-related threats. This team plays a vital role in protecting PayPal’s bottom line, enabling secure global growth, and ensuring a seamless and trustworthy customer experience. This is a unique opportunity to work at the intersection of data, strategy, and fraud prevention—helping shape the future of secure digital commerce at PayPal. Job Description: Essential Responsibilities: Develop and implement data science models and algorithms. Analyze and interpret complex data sets. Ensure data quality and integrity. Collaborate with stakeholders to understand data requirements. Optimize data processes for efficiency and performance. Perform advanced statistical analysis and reporting. Minimum Qualifications: Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0128302