263 Hypothesis Testing Jobs - Page 2

As a Data Analyst Trainee (Remote) at our forward-thinking tech company, you will have the opportunity to work with experienced data analysts and contribute to transforming data into actionable insights. Your role will involve collecting, cleaning, analyzing, and reporting on data from various sources, allowing you to enhance your analytical skills and make meaningful contributions to real business outcomes. Responsibilities will include assisting in data collection, cleaning, and preprocessing, performing data analysis to identify trends and patterns, creating and maintaining dashboards and reports, developing basic data models, and supporting exploratory data analysis efforts. Additionally, you will collaborate with team members to identify key performance indicators and business metrics, visualize data through graphs and charts, and maintain data quality standards. To qualify for this role, you should be pursuing or have recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Basic knowledge of data analysis tools and languages such as Excel, SQL, Python, or R is required, along with a strong analytical mindset and attention to detail. Familiarity with data visualization tools like Tableau or Power BI is a plus, as well as the ability to work independently and effectively in a remote environment. Strong communication skills and a passion for learning new analytical skills are essential, along with the ability to meet deadlines and present data insights clearly and concisely. Preferred skills that would be advantageous for this role include basic knowledge of statistical analysis and hypothesis testing, experience with data wrangling and cleaning techniques, understanding of data storage systems like relational databases, familiarity with machine learning concepts or algorithms, and proficiency in web development frameworks, databases, REST APIs, and front-end technologies. If you are eager to develop your skills in data analysis, collaborate with a talented team, and contribute to innovative solutions, we encourage you to apply for the Data Analyst Trainee position with our remote team.,

You are a highly driven and analytical Quantitative Researcher with a strong foundation in mathematics, statistics, and market microstructure. Your passion lies in high-frequency trading (HFT), statistical arbitrage, and innovative alpha discovery in both decentralized and centralized digital asset markets. You have hands-on experience in developing and testing trading strategies and possess a deep understanding of order book dynamics, risk modeling, and ML techniques grounded in sound statistical reasoning. Your responsibilities include researching, designing, and implementing quantitative trading strategies in crypto markets using statistical and machine learning models. You will conduct alpha research, signal generation, and strategy backtesting using large-scale historical tick/order book data. Additionally, you will develop and apply statistical arbitrage techniques across multiple crypto assets and exchanges, model market microstructure phenomena, and perform rigorous data analysis and hypothesis testing to validate trading ideas. Collaboration with engineering teams to deploy strategies in production environments with low-latency constraints is crucial. You will continuously monitor and improve model performance using real-time and historical data, while staying updated on the latest developments in DeFi, crypto trading infrastructure, and quantitative finance research. You hold a Bachelors, Masters, or PhD in Statistics, Mathematics, Physics, Computer Science, or a related quantitative field. Your knowledge spans probability theory, stochastic processes, time series analysis, and optimization. You have proven experience with crypto markets, strong coding skills in Python, C++, or Rust, and familiarity with machine learning techniques rooted in statistical principles. Preferred qualifications include prior experience in a quant fund, HFT firm, or crypto-native trading desk, familiarity with cloud computing, GPU acceleration, or high-performance computing techniques, and exposure to alternative data, chain analytics, or DeFi protocols. A strong understanding of execution cost modeling, slippage, and latency optimization is also beneficial. In return, you will have the opportunity to work at the frontier of quantitative research and crypto innovation. You will be part of a collaborative and intellectually stimulating environment that encourages research autonomy and creativity. Competitive compensation including base salary, performance-based bonuses, and token/equity incentives will be provided, along with access to cutting-edge datasets, infrastructure, and computing resources.,

As a Data Scientist with 3 to 5 years of experience, your primary responsibility will be to analyze large, complex datasets using data analysis and exploration techniques. You will be involved in predictive modeling and machine learning tasks, data mining, and pattern recognition. Conducting experiments and A/B testing will also be part of your routine to validate hypotheses. To excel in this role, you are required to have a Bachelor's or Master's degree in Computer Science or Statistics. Your proven track record in data science, machine learning, or predictive analytics roles is crucial. Familiarity with the Azure cloud platform is preferred, along with proficiency in programming languages commonly used in data science such as Python. A strong foundation in statistical analysis, hypothesis testing, and experimental design is essential. Moreover, your expertise with machine learning libraries and frameworks like TensorFlow, scikit-learn, and PyTorch will be valuable. Experience with data visualization tools such as Matplotlib is an advantage. Your problem-solving and analytical skills, combined with attention to detail, will be instrumental in driving insights from data. Effective communication and collaboration skills are vital for working in a team environment. In this role, you will be expected to manage multiple projects simultaneously and prioritize tasks effectively. If you are passionate about leveraging data to drive business decisions and possess the required skills and experience, we look forward to welcoming you to our team.,

Description Ensures development of a successful project / workstream plan after high level direction from the senior project lead with a clear understanding of project objectives Takes ownership of methodology instrument design for market research projects to address key objectives based on high level guidance provided by senior project team member Translates understanding of brand strategy and client needs & beliefs into likely hypotheses, and ensures analytical approach is effective in testing hypotheses to find most relevant insights Anticipates potential challenges in analysis and proactively works with team to figure out a mitigation strategy Demonstrates creative flexibility and innovation to modify design approach as necessary with more abstract client feedback or changing business project objectives Is able to use the prior experience to apply advanced statistical knowledge (CHAID, Choice modeling, Clustering, kNN, Regression etc.) to solve a business problem Ensures that team members are able to execute the analysis with right analytical approach and proper quality check guidelines Proactively creates good processes and automation set ups to increase the efficiency and quality of the deliverables Responsible for quality of entire team and all materials; double-checks all project materials and analysis provided from other team members Maintains focus on strategic implications of analytical insights, and effectively guides junior team member(s) to achieve necessary depth and breadth of insights Ensure client needs and preferences are incorporated into slide development; customizes report to audience and format of presentation when developing deliverables Guides development of new slide frameworks and visual templates that can present key data / insights powerfully Sends timely and thoughtful responses to client/leadership requests, questions, and needs Presents project findings & recommendations to clients in a compelling and engaging way (when appropriate based on client presentation preferences) Responsible for professional development, engagement and coaching of junior team members Teaches best practices to junior team members for structured written and verbal communication Demonstrates a desire and willingness to learn, and learns for all interactions and team members on a project/team Adapts working style as needed, developing strong collaboration and trust across team members Demonstrates good judgement across all interactions, and a respect for all team members internally and externally Qualifications Education: A bachelor or master s degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Economics, Management Science, Data Science, Statistics, or Engineering will be preferred . Consultants - Minimum 3 years of experience in Market Research and marketing consulting work. Knowledge of US healthcare market will be a plus Experience in execution of advanced analytical methods CHAID, Hypothesis Testing, A/B testing, CART, Regression, Clustering, Factor Analysis, MNL, Choice Modeling, kNN, K-means, Predictive analysis, Generalized Linear Models etc. Knowledge of tools/programming platforms Sawtooth, R, SAS, SPSS, Advanced Excel, Advanced Powerpoint Experience in writing surveys and discussion guides with knowledge of biases and ways to make instruments easier for respondents Evidence of leading and managing teams/projects Evidence of strong oral and written communication Evidence of working in a fast-paced versatile environment Comfort and flexibility with ambiguity Strong attention to detail with a quality focused mindset Evidence for high motivation and good professional attitude/work ethic

Role Description Group Strategic Analytics: Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. Your key responsibilities Treasury Strat's The candidate is required to work in collaboration with London/New York/Frankfurt team on various quantitative and regulatory driven projects. Candidate is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python and C++ programming language. Candidate should possess a very good English communication skill in order to coordinate and communicate their work effectively with various stakeholders spread across globe. Role Responsibilities Development of complex processes, framework or risk analysis as well as improvements Implement, enhance and maintain existing framework to measure market risks across the bank Understand and decipher business problem to convert into manageable smaller problem statements Coordinate and gather information from various stakeholders for deeper understanding of the business Design an automated solution which is optimized and scalable Develop and design tables and databases required for the storage of the data Develop applications/libraries for the implementation of the solution Remediation of regulatory as well as external and internal findings against the MR HS models in line with the assigned tasks Constant awareness and understanding of the key market risks taken by the business areas and communication to senior management and with ex External stakeholders, challenge the business within assigned areas when required Quality assurance (e.g. 4 eyes principle reviews) Your skills and experience Competencies: Programming Skills At least 4 years experience in Python/C++ programming Good knowledge of OOPs programming concepts ( Class, Pointers, Data structure stacks, queue) Experience in pulling data from various Market data sources. Independent handling and mitigating methodological or process weaknesses identified by regulators, auditors and internal model validation team Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Personal characteristics: Ability to work independently as well as flexibly within intra or inter-departmental groups. Continuous advancement of own skills and knowledge Can-Do attitude & Able to cope well under pressure and tight deadlines. Education/ Qualifications: Strong educational background in Engineering/Science, Economics, Statistics or other numerate discipline preferably from good colleges in India e.g. IIT, NIT, ISI etc. Good knowledge of financial instruments and markets across all asset classes Knowledge of financial pricing models, risk models would be desirable Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc) will be a plus Certification courses like CFA/FRM/CQ

Group Strategic Analytics: Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. Your key responsibilities Treasury Strat's The candidate is required to work in collaboration with London/New York/Frankfurt team on various quantitative and regulatory driven projects. Candidate is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python and C++ programming language. Candidate should possess a very good English communication skill in order to coordinate and communicate their work effectively with various stakeholders spread across globe. Role Responsibilities Development of complex processes, framework or risk analysis as well as improvements Implement, enhance and maintain existing framework to measure market risks across the bank Understand and decipher business problem to convert into manageable smaller problem statements Coordinate and gather information from various stakeholders for deeper understanding of the business Design an automated solution which is optimized and scalable Develop and design tables and databases required for the storage of the data Develop applications/libraries for the implementation of the solution Remediation of regulatory as well as external and internal findings against the MR HS models in line with the assigned tasks Constant awareness and understanding of the key market risks taken by the business areas and communication to senior management and with ex External stakeholders, challenge the business within assigned areas when required Quality assurance (e.g. 4 eyes principle reviews) Your skills and experience Competencies: Programming Skills At least 4 years experience in Python/C++ programming Good knowledge of OOPs programming concepts ( Class, Pointers, Data structure stacks, queue) Experience in pulling data from various Market data sources. Independent handling and mitigating methodological or process weaknesses identified by regulators, auditors and internal model validation team Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Personal characteristics: Ability to work independently as well as flexibly within intra or inter-departmental groups. Continuous advancement of own skills and knowledge Can-Do attitude & Able to cope well under pressure and tight deadlines. Education/ Qualifications: Strong educational background in Engineering/Science, Economics, Statistics or other numerate discipline preferably from good colleges in India e.g. IIT, NIT, ISI etc. Good knowledge of financial instruments and markets across all asset classes Knowledge of financial pricing models, risk models would be desirable Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc) will be a plus Certification courses like CFA/FRM/CQ

We are looking for a highly experienced Senior Biostatistician Consultant with over 8 years of experience in statistical modeling, platform development, and advanced analytical solutions. This role requires in-depth knowledge of biostatistics, statistical process control, and extensive experience in developing and deploying R Shiny-based analytical platforms. As a Senior Biostatistician Consultant, you will play a crucial role in building scalable statistical platforms that facilitate data-driven decision-making through advanced analytics. Your responsibilities will involve guiding scientific data interpretation, supporting both regulated and non-regulated environments, and delivering top-notch analytical solutions. Your key responsibilities will include designing, developing, and deploying robust R Shiny applications and platforms for real-time data analysis in scientific and manufacturing settings. You will collaborate with IT and analytics teams to ensure platform scalability, security, and user-centric design. Additionally, you will lead statistical modeling for complex datasets, emphasize univariate and multivariate analysis, and employ advanced techniques such as SPC, PCA, hypothesis testing, and more. In your role, you will act as the primary statistical advisor to cross-functional teams, present statistical findings clearly to stakeholders, recommend appropriate methodologies based on study design, and support data governance initiatives. Furthermore, you will mentor junior statisticians and platform developers, stay updated with statistical methodologies, and contribute to thought leadership within the organization. To qualify for this position, you should hold a Ph.D. or Master's degree in Biostatistics, Statistics, Applied Mathematics, or a related field. You must have over 8 years of experience in applied biostatistics, including proficiency in developing R Shiny applications and statistical platforms. Strong communication, collaboration, and documentation skills are essential, along with familiarity with GxP guidelines and regulatory considerations in clinical or manufacturing analytics. Join our team at Aventior, a leading provider of innovative technology solutions for businesses worldwide. We leverage cutting-edge technologies like AI, ML Ops, and DevOps to address complex business challenges and foster growth for our clients. Our comprehensive data development and management services cater to various needs, ensuring customized solutions that align with each client's requirements. If you are eager to make a significant impact in the field of biostatistics and analytics, we welcome you to apply for this rewarding opportunity.,

As a Senior Data Scientist at CDM Smith, you will play a crucial role in our Digital Engineering Solutions team, specifically within the Data Technology group. This position involves contributing to strategic initiatives in Architecture, Engineering, and Construction (AEC) by leveraging cutting-edge data technologies and analytics. You will be instrumental in providing actionable business insights and developing robust solutions that cater to the needs of AEC professionals and client outcomes. Your responsibilities will include developing and implementing predictive, prescriptive, and advanced analytics models using various statistical, optimization, and machine learning techniques to address complex AEC business challenges. You will conduct in-depth exploratory data analysis to uncover trends, relationships, and patterns in data. Additionally, you will design and implement optimization models, machine learning models, and statistical methods tailored to domain-specific issues. Collaboration with Data Engineers, AI/ML Engineers, and domain experts will be essential in framing problems and delivering actionable solutions. Your role will involve translating complex data science and optimization solutions into practical business insights through effective communication and visualization. You will also lead the evaluation and integration of advanced statistical software and tools to enhance analytical capabilities while ensuring adherence to ethical standards in AI and data science. In this role, you will need to stay updated on the latest advancements in data science, emerging technologies, best practices, tools, and software applications that could impact CDM Smith. Moreover, you will assist in developing documentation, standards, best practices, and workflows for data technology hardware/software used across the business. To excel in this position, you should possess strong expertise in statistical modeling, machine learning, optimization methods, and advanced analytics techniques. Proficiency in programming languages such as Python and R, along with strong SQL skills, will be necessary for querying and managing data effectively. Knowledge of big data platforms, distributed computing frameworks, and data visualization tools will also be beneficial. As a Senior Data Scientist at CDM Smith, you will be required to have a bachelor's degree and at least 6 years of related experience. Equivalent additional directly related experience will be considered in lieu of a degree. Your ability to effectively communicate complex technical concepts to both technical and non-technical audiences, along with your problem-solving skills and attention to detail, will be crucial for success in this role. Join us at CDM Smith and be part of a team that is at the forefront of AEC-focused Business Intelligence and data services, driving innovation and delivering impactful solutions to our clients.,

This job might be for you if You enjoy solving problems. You love taking on difficult challenges and finding creative solutions. You dont know the answer but will dig until you find it. You communicate clearly. You write well. You are motivated and driven. You volunteer for new challenges without waiting to be asked. You will take ownership of the time you spend with us and make a difference. You can impress our customers with your enthusiasm to solve their issues (and solve them!) Job Description As an AI/ML Engineer at Eximietas, you will be responsible for designing, implementing and managing strategic consulting projects that leverage Machine Learning, Deep Learning including Generative AI algorithms. You will work closely with clients to understand their business processes and requirements, conduct proof of concepts (POCs) and convert POCs to long term strategic engagements to deliver cutting-edge AI/ML solutions that drives business value. Responsibilities Collaborate with clients to understand their business processes, goals, and requirements. Design and implement AI/ML solutions using state-of-the-art techniques and methodologies. Conduct proof of concepts (POCs) and pilots to validate the feasibility and effectiveness of AI/ML solutions. Work with cross-functional teams to map AI/ML solutions to client business processes. Perform data analysis, data preprocessing, and feature engineering as needed. Conduct hypothesis testing, feature extraction, feature selection, cross-validation. Develop and deploy machine learning models in a production environment. Apply Natural Language Processing (NLP) techniques such as topic modelling, entity extraction, summarization and sentiment analysis to relevant projects OR Design and implement projects that are tailored to Computer Vision tasks, such as Image Classification, Object detection, Image segmentation. Communicate findings and insights effectively to both technical and non-technical stakeholders. Ensure project deliverables meet high-quality standards and are completed on time and within budget. Qualifications Bachelors or masters degree in computer science, Machine Learning, Data Science or a related field. At least 5 to 8 years of hands-on experience in designing and delivering AI/ML solutions. Good understanding of concepts involving Probability, Statistics, Linear Algebra, Programming and basics of Machine Learning Strong expertise in NLP tasks, including and not limited to Topic modelling, Entity Extraction, Summarization and Sentiment analysis OR Proficiency in Computer Vision tasks including and not limited to Object detection, Image segmentation, Image classification. Experience working within a cloud solutions environment such as AWS, Azure or Google Cloud. Familiarity with Cloud AI services and tools is a plus. Proficiency in programming languages such as Python or R. Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with MLOps is a plus Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and presentation skills.

Join the leader in entertainment innovation and help design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment worldwide. To achieve this, Dolby seeks the absolute best talent. This is an opportunity to play a key role in Dolby's new R&D Center in Bangalore as a Research Lead in the Advanced Technology Group (ATG), the research and technology arm of Dolby Labs. The ATG focuses on innovating technologies in various areas such as audio, video, AR/VR, gaming, music, broadcast, and user-generated content. Competencies related to computer science and electrical engineering, including AI/ML, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, natural language processing, social network analysis, and computer graphics are highly relevant to the research conducted at Dolby. As a Research Lead within Dolby ATG research, you will focus on three key areas of expertise: State-of-the-art, cutting-edge, hands-on research: Invent and develop the next generation of AI-based multimodal image, audio, and speech technologies. Explore the applications of AI to multimedia technologies, including video and audio enhancement, analysis, classification, and separation. Create technologies for the next generation of Dolby's offerings. Managing, nurturing, and grooming top research talent: Lead and mentor a group of AI researchers focusing on multimodal analysis, processing, playback, and enhancement. Develop junior, highly talented staff into independent researchers in a corporate environment. Contribute to creating a dynamic, flexible, transparent, results-oriented, and innovative working atmosphere. Technology strategy and direction setting: Define and lead research initiatives leveraging cross-media intelligence and analytics. Invent multimodal machine learning algorithms and utilize a deep understanding of multimodal perception to develop the next generation of multimedia technologies. Collaborate with global research teams to set directions and identify projects for AI-based technologies. Education and desired experience: Ph.D. plus 5-10 years of corporate research experience in Physics, Electrical Engineering, Mathematics, or Computer Science with a focus on AI. Expertise in AI technologies with a detailed understanding of network architectures, data augmentation, and performance analysis. Track record of applying AI technologies to multimodal problems and productizing novel AI-based technologies. Strong publication record and background in statistical signal processing, decision theory, and machine learning conferences. Experience in audio and video processing, C/C++, Python, TensorFlow, or PyTorch is desirable. Ability to manage, guide, and mentor researchers and work effectively in cross-continental teams. If you are passionate about cutting-edge research, leading talented teams, and shaping the future of entertainment technology, this role at Dolby's Advanced Technology Group in Bangalore may be the perfect fit for you.,

About Lowes Lowes Companies, Inc. (NYSE: LOW) is a FORTUNE 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowes operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowes India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowes customers. Lowe’s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe’s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, www.lowes.co.in. About the Team The Experimentation Team at Lowe's drives end-to-end A/B testing, ensuring data-backed decisions before full rollouts. This progressive and rapidly growing team is focused on building scalable solutions that enhance decision-making and drive top and bottom-line business value along with creating great customer experiences. Job Summary: We are seeking an inspiring, technically savvy, data scientist who is passionate about building a best-in-class experimentation platform/program to support our rapidly growing suite of eCommerce products. As a Lead Data Scientist, you will be a key player in driving data-driven decision-making across the organization, collaborating closely with engineering, product, marketing, and other cross-functional teams to deliver insights and products that shape the future of our business. You will also mentor junior data scientists and help to foster a culture of experimentation throughout the organization. Roles & Responsibilities: Core Responsibilities: Experimentation Design & Analysis: Support the design and execution of A/B tests, multivariate experiments, and randomized controlled trials (RCTs) to assess the impact of product changes, marketing campaigns, and customer experiences. Develop and implement robust methodologies to measure the effectiveness of business initiatives (e.g., website features, promotions, UI changes, etc.) using experimentation frameworks. Own the end-to-end experimentation pipeline, including hypothesis generation, experimental design, implementation, monitoring, and post-experiment analysis. Identify and mitigate biases in experiment design and results, ensuring statistical rigor and reliability. Advanced Statistical Analysis & Modelling: Conduct advanced statistical analysis (e.g., causal inference, Bayesian analysis, regression modelling) to derive actionable insights from experimentation results. Develop and refine models to predict customer behavior and optimize conversion rates, retention, and other key business metrics. Analyze large-scale datasets and design efficient algorithms to support decision-making in areas like pricing, product recommendations, and personalization. Continuous Improvement & Innovation: Stay current with the latest advancements in data science, statistics, and experimentation methodologies. Propose innovative approaches to enhance the experimentation framework, such as new experimental designs, alternative modelling techniques, or improved metrics. Lead or participate in research to explore new ways of measuring and optimizing the customer journey in a retail/e-commerce setting. Years of Experience: 5+ years of professional experience in data science, with at least 2 years focused on experimentation, A/B testing, and causal inference in a retail or e-commerce environment. Proven track record of designing and analyzing large-scale A/B tests and experiments with demonstrable business impact. Strong experience with statistical analysis and modelling techniques, including hypothesis testing, regression analysis, and Bayesian statistics Education Qualification & Certifications (optional) Required Minimum Qualifications : Bachelors/Masters/Ph.D. degree in data science, Statistics, Mathematics, Computer Science, Economics, or a related field. Skill Set Required Advanced knowledge of statistical methodologies for experiment design, analysis, and causal inference. Expertise in analytics/data software/tools such as Python, R, SQL, and experience with machine learning frameworks (e.g., TensorFlow, scikit-learn). Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders and executive leadership. Solid understanding of e-commerce and retail metrics (e.g., conversion rate, customer lifetime value, churn, etc.) and how they relate to experimentation. Secondary Skills (desired) Experience with large-scale e-commerce platforms and digital product development. Familiarity with the advanced causal and inferential analytics Experience with advanced techniques in machine learning or AI that complement experimentation (e.g., recommender systems, predictive modelling). Familiarity with cloud-based platforms (e.g., AWS, Google Cloud, Azure). Experience working in an agile environment and collaborating with cross-functional teams in a fast-paced business setting.

The selected individuals will be responsible for conducting training sessions for professionals and corporates on various Analytical tools and techniques, with a focus on BI tools such as SAS, R, SPSS, Python, Tableau, and VBA. Their main duties will involve developing relevant content and materials for the program and other technologies as directed by the organization. Successful candidates will have the opportunity to grow into key positions within the organization and may explore roles in training, content development, and research based on their interests and potential. Candidates for this role should hold a MA/MSc/ MPhil/ Phd (pursuing) degree in Economics, Statistics, Mathematics, or B-Tech, with 0-2 years of work experience in a similar industry. Key prerequisites for the role include an understanding of BI tools, a working knowledge of Advanced Excel (VBA Macros), a strong grasp of Analytical concepts, and proficiency in basic Statistical Concepts such as Descriptive Statistics, Probability, Hypothesis testing, Factor Analysis, Cluster Analysis, Linear Regression, Logistic Regression, and Time series Modeling. Other essential skills and qualities include excellent Presentation, Team Handling, and People Skills. Preference will be given to candidates with consistent academic records and those with leadership experience in extracurricular activities. Candidates with a Masters in Statistics or Economics, knowledge of Econometrics, and proficiency in Base SAS, Advanced SAS, R-Programming, SPSS, Excel, VBA, and Tableau will be preferred. Additionally, familiarity with various analytical concepts such as Linear Regression, Logistic Regression, Time Series, Cluster Analysis, Factor Analysis, Analysis of Variance, Sentiment Analysis, Market Basket Analysis, CHAID- Decision Tree, Text Mining, Survival Analysis, Credit Risk, and Customer Analytics will be advantageous for this role.,

You will be joining a forward-thinking tech company as a Data Analyst Trainee, working remotely with a talented team of professionals. Your role will involve assisting experienced data analysts in transforming data into actionable insights through tasks such as data collection, cleaning, analysis, and reporting. This position offers a valuable opportunity to enhance your analytical skills while contributing to real business outcomes. Responsibilities: - Assist in collecting, cleaning, and preprocessing data from various sources. - Perform data analysis to identify trends, patterns, and correlations. - Create and maintain dashboards and reports for stakeholders. - Develop and implement basic data models and statistical analysis techniques. - Support the team in conducting exploratory data analysis (EDA). - Visualize data through graphs and charts to effectively communicate insights. - Collaborate with team members to identify key performance indicators (KPIs) and business metrics. - Help document data processes and maintain data quality standards. - Learn and apply best practices for data analysis and reporting. Requirements: - Currently pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. - Basic knowledge of data analysis tools and languages (e.g., Excel, SQL, Python, or R). - Strong analytical mindset and attention to detail. - Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. - Passion for learning and developing new analytical skills. - Ability to work independently and collaborate effectively in a remote environment. - Strong communication skills and ability to present data insights clearly and concisely. - Time management skills and the ability to meet deadlines. Preferred Skills (optional But Advantageous): - Basic knowledge of statistical analysis and hypothesis testing. - Experience with data wrangling and cleaning techniques. - Understanding of data storage systems, such as relational databases. - Familiarity with machine learning concepts or algorithms is a bonus.,

Job Profile The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Roles and Responsibilities: Key Responsibilities Design and deliver analytics models aligned with strategic objectives. Partner with pricing, product, and assortment teams to deliver actionable ML-driven insights Ensure robust and well-documented model lifecycle management Present technical results in a clear and actionable manner to business stakeholders Stakeholder Engagement Engage cross-functional teams (merchandising, pricing, category management, leadership) to understand business needs and drive analytics projects Communicate complex analytical concepts in an accessible way to non-technical audiences Business Impact & ROI Drive improvements in revenue, margin, competitive positioning, and operational efficiency through data-driven solutions Develop KPIs to monitor model and business impact, ensuring sustainable value creation Advanced Statistical & Machine Learning Expertise Strong foundation in regression analysis, time-series forecasting, hypothesis testing, A/B testing, and experimental design Hands-on experience building and deploying predictive models for pricing, assortment, sales forecasting, competitive intelligence, and product substitution mapping Applied expertise in ML techniques: classification, clustering, regression, recommendation engines, and feature engineering Domain-Specific Applications Design data science solutions for market intelligence, assortment management, competitive benchmarking, pricing optimization, and digital shelf diagnostics Translate business problems into analytical solutions with measurable business outcomes Scalable Data Pipelines & Model Deployment Develop scalable pipelines and workflows for model building and performance monitoring Implement robust data validation, model explainability, and documentation practices Technical and Programming Skills: Senior Data Scientist with 8+ years of experience. Masters degree (preferred) or Bachelor’s degree in Statistics, Computer Science, Data Science, Mathematics, Engineering, or related quantitative field Additional certifications in Data Science, Machine Learning, or related technologies (AWS/Azure ML, Coursera, edX, etc.) will be an advantage Strong proficiency in Python (Pandas, scikit-learn, NumPy, SQLAlchemy) and SQL. Working knowledge of visualization tools: Power BI, Tableau Exposure to cloud computing environments (Azure / AWS / GCP)

About Lowes Lowes Companies, Inc. (NYSE: LOW) is a FORTUNE 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowes operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowe’s India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowe’s customers. Lowe’s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe’s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, www.lowes.co.in. About the Team The Experimentation Team at Lowe's drives end-to-end A/B testing, ensuring data-backed decisions before full rollouts. This progressive and rapidly growing team is focused on building scalable solutions that enhance decision-making and drive top and bottom-line business value along with creating great customer experiences. Job Summary: We are seeking an inspiring, technically savvy, data scientist who is passionate about building a best-in-class experimentation platform/program to support our rapidly growing suite of eCommerce products. As a Senior Data Scientist, you will be a key player in driving data-driven decision-making across the organization, collaborating closely with engineering, product, marketing, and other cross-functional teams to deliver insights and products that shape the future of our business. You will also mentor junior data scientists and help to foster a culture of experimentation throughout the organization. Roles & Responsibilities: Core Responsibilities: Experimentation Design & Analysis: Support the design and execution of A/B tests, multivariate experiments, and randomized controlled trials (RCTs) to assess the impact of product changes, marketing campaigns, and customer experiences. Develop and implement robust methodologies to measure the effectiveness of business initiatives (e.g., website features, promotions, UI changes, etc.) using experimentation frameworks. Own the end-to-end experimentation pipeline, including hypothesis generation, experimental design, implementation, monitoring, and post-experiment analysis. Identify and mitigate biases in experiment design and results, ensuring statistical rigor and reliability. Advanced Statistical Analysis & Modelling: Conduct advanced statistical analysis (e.g., causal inference, Bayesian analysis, regression modelling) to derive actionable insights from experimentation results. Develop and refine models to predict customer behavior and optimize conversion rates, retention, and other key business metrics. Analyze large-scale datasets and design efficient algorithms to support decision-making in areas like pricing, product recommendations, and personalization. Continuous Improvement & Innovation: Stay current with the latest advancements in data science, statistics, and experimentation methodologies. Propose innovative approaches to enhance the experimentation framework, such as new experimental designs, alternative modelling techniques, or improved metrics. Lead or participate in research to explore new ways of measuring and optimizing the customer journey in a retail/e-commerce setting. Years of Experience: 5+ years of professional experience in data science, with at least 2 years focused on experimentation, A/B testing, and causal inference in a retail or e-commerce environment. Proven track record of designing and analyzing large-scale A/B tests and experiments with demonstrable business impact. Strong experience with statistical analysis and modelling techniques, including hypothesis testing, regression analysis, and Bayesian statistics Education Qualification & Certifications (optional) Required Minimum Qualifications : Bachelors/Masters/Ph.D. degree in data science, Statistics, Mathematics, Computer Science, Economics, or a related field. Skill Set Required Advanced knowledge of statistical methodologies for experiment design, analysis, and causal inference. Expertise in analytics/data software/tools such as Python, R, SQL, and experience with machine learning frameworks (e.g., TensorFlow, scikit-learn). Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders and executive leadership. Solid understanding of e-commerce and retail metrics (e.g., conversion rate, customer lifetime value, churn, etc.) and how they relate to experimentation. Secondary Skills (desired) Experience with large-scale e-commerce platforms and digital product development. Familiarity with the advanced causal and inferential analytics Experience with advanced techniques in machine learning or AI that complement experimentation (e.g., recommender systems, predictive modelling). Familiarity with cloud-based platforms (e.g., AWS, Google Cloud, Azure). Experience working in an agile environment and collaborating with cross-functional teams in a fast-paced business setting.

Hands-on HR Data Scientist that will be expected to ideate, design, develop, model and deploy advanced solutions Collaborate with stakeholders to define project objectives, formulate data-driven hypotheses and identify KPIs for analysis Gather, pre-process and explore large-scale structured and unstructured data from diverse sources, including clinical trials, patient records and genetic data Apply advanced statistical analysis, machine learning algorithms and predictive modelling techniques to extract insights and develop models that drive actionable recommendations Conduct exploratory data analysis (EDA) to identify patterns and anomalies in the data and propose solutions to business problems Develop and implement predictive models (e. g. , regression, clustering, time series forecasting) to solve complex business challenges Collaborate with data engineers and IT teams to ensure data availability, quality, and reliability for analysis and modeling Communicate complex analytical findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports and presentations Stay up-to-date with the latest methodologies and best practices in statistical analysis, machine learning, and the HR Industry Mentor and provide guidance to junior data scientists and actively participate in knowledge sharing and team development Skills and competencies Experience with building and deploying data science and data engineering solutions using established industry methods (MLOps, Git) to Complex datasets is preferred Proficiency in programming languages such as Python and SQL Familiarity with data visualization tools such as Tableau or Power BI for effective communication of findings Strong understanding of experimental design, hypothesis testing and A/B testing methodologies Excellent problem-solving skills and the ability to think critically and creatively to tackle complex business challenges Excellent communication and presentation skills to convey complex concepts to technical and non-technical stakeholders Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment

Data Science Machine Learning Specialist Location Thiruvananthapuram Experience 4 to 5 yrs 4 5 years of hands-on experience in data science projects, preferably across different domains. Strong statistical expertise, including hypothesis testing, linear and non-linear regression, classification techniques, and probability distributions. Proven ability to translate complex business problems into data science use cases with practical impact. Experienced in building and validating machine learning models, including classification, regression, and survival analysis. Proficiency in Python, including libraries like Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn, as well as SQL for data querying and analysis. Experience handling both structured and unstructured datasets, with expertise in exploratory data analysis (EDA) and data cleaning. Strong communication skills, with the ability to explain technical concepts clearly to non-technical stakeholders. Familiarity with version control tools such as Git/GitHub and collaborative development workflows. A deployment mindset, with an understanding of how to build data products that are usable, scalable, and maintainable.

Qualcomm India Private Limited is currently seeking a skilled IT Data Engineer to join the Information Technology Group. As an IT Data Engineer, you will be responsible for utilizing your expertise in SQL to write efficient queries, solve real-world case studies, and work on advanced topics such as window functions and CTEs. Additionally, you will need to have a good understanding of Python basics, including data cleaning with Pandas and NumPy, as well as experience in automation. Proficiency in BI tools such as Tableau, Power BI, or Splunk is essential for this role. You will be expected to present actionable insights, build dashboards, create data models, develop visually engaging reports and alerts, and manage data refresh schedules effectively. A solid understanding of statistical concepts like mean, median, mode, standard deviation, hypothesis testing, and probability will be advantageous. The ideal candidate for this position should have at least 4 years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or a related field. Alternatively, candidates with 6+ years of IT-related work experience without a Bachelor's degree will also be considered. Additionally, the applicant should have at least 2 years of programming experience (e.g., Java, Python), 1+ year of experience with SQL or NoSQL databases, and 1+ year of experience with data structures and algorithms. A degree in computer engineering or a related field is preferred. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodation during the application/hiring process, you may reach out to disability-accommodations@qualcomm.com or contact Qualcomm's toll-free number. Qualcomm expects its employees to adhere to all applicable policies and procedures, including those related to the protection of confidential information. Please note that Qualcomm does not accept unsolicited resumes or applications from agencies. Staffing and recruiting agencies are not authorized to submit profiles, applications, or resumes through Qualcomm's Careers Site. For more information about this role, please contact Qualcomm Careers directly.,

As a Lead Product Analyst at our company based in Noida, you will play a pivotal role in our dynamic product team by spearheading data-led product strategies and insights across various product lines. Your responsibilities will encompass leading analytical endeavors, guiding product direction with actionable insights, and mentoring a team of analysts while collaborating closely with cross-functional stakeholders. This strategic position is tailored for an individual who can effectively merge data with business and product vision to drive tangible outcomes. Your primary duties will include: Strategic Data Analysis & Reporting: - Taking charge of end-to-end product analytics to assess product performance, identify significant trends, and propose actionable enhancements. - Crafting and managing advanced dashboards and reports utilizing tools such as Excel, SQL, Python, BigQuery, Power BI, and Google Analytics (GA4). - Defining and monitoring key performance indicators (KPIs) aligned with business objectives, and proactively highlighting opportunities and risks. Advanced Market & User Research: - Conducting thorough market and competitor research to shape product strategy. - Analyzing customer feedback, usage data, and behavioral cues to unearth user needs and pain points. - Keeping abreast of industry trends, benchmarks, and innovations in analytics and digital product strategies. Product Strategy & Development Support: - Collaborating with product managers to outline and enhance product roadmaps based on data-driven insights. - Leading the creation of user stories, success metrics, and A/B testing strategies. - Steering experimentation and validation plans like cohort analysis, retention studies, and heatmaps. Project Leadership & Stakeholder Management: - Overseeing cross-functional analytics projects and ensuring timely delivery of insights to product, tech, and business teams. - Assisting in critical decision-making throughout the product lifecycle, from ideation to post-launch optimization. - Maintaining consistent documentation, visibility, and prioritization of analytics tasks. Team Leadership & Collaboration: - Mentoring junior analysts and aiding in establishing best practices for the analytics function. - Serving as a data advocate within the organization, fostering a culture of data-driven decision-making. - Delivering impactful insights and product recommendations to senior leadership and executive stakeholders. Qualifications: Education: - Bachelor's or Master's degree in Business, Engineering, Economics, Statistics, Computer Science, or a related field. Experience: - 5+ years of experience in product analytics, with a minimum of 2 years in a lead or senior position. - Demonstrated success in influencing product decisions through analytics in a high-growth or product-centric company. Technical Skills: - Proficiency in tools like Excel, SQL, Power BI/Looker Studio, Python or R, BigQuery, and GA4. - Hands-on experience with Firebase, GTM, and data visualization/BI platforms. - Sound knowledge of experimentation frameworks, including A/B testing, hypothesis testing, and statistical significance. - Deep understanding of product funnels, acquisition sources, user retention, and behavioral analytics. Product & Analytical Skills: - Ability to extract insights and shape product strategy effectively. - Proficient in funnel analysis, cohort studies, churn and retention metrics, segmentation, and user flow mapping.,

About The Role Management Level: Ind&Func AI Decision Science Consultant Job Location: Bangalore / Gurgaon Must-have Skills: Excellent understanding of Pharma data sets commercial, clinical, Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI. Job Summary This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Key Responsibilities An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Provide Subject matter expertise in various sub-segments of the LS industry. Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Additional Information Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

The Citi Analytics & Information Management (AIM) team is a global community dedicated to objectively connecting and analyzing information to create actionable intelligence for business leaders. As a C12 (Individual Contributor) AVP within the Retail Bank Fraud Analytics team, your primary focus will be on analyzing transaction data, understanding fraud patterns, and developing fraud loss mitigation strategies to minimize fraud losses and customer impact. You will play a key role in monitoring strategy performance, collaborating with the strategy implementation team, and proactively developing fraud loss mitigation measures using new data sources and advanced analytics techniques. You will be expected to be hands-on with regular and ad hoc analysis, extract data from various sources, generate fraud risk insights, recommend business solutions, monitor strategy performance, and optimize existing rules. A holistic understanding of retail banking products, best practices, and the ability to integrate analytical thinking and business knowledge with data analysis tools and methodologies to develop client-centric solutions will be essential. The ideal candidate will have analytics experience in the BFSI domain, proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling. Strong skills in decision tree analysis (CHAID/CART), Logistic Regression, exploratory data analysis, SAS, SQL, Hive, Impala, and Excel are required. Knowledge of Python is desirable, and prior experience in Fraud Analytics is preferred. Familiarity with Tableau or other data visualization tools is also preferred. Experience in stakeholder management across functions and regions, translating data into consumer behavioral insights, and effectively communicating findings to business partners and senior leaders are necessary. Strong presentation skills, project management abilities, and the capacity to deliver multiple complex analytic projects will be essential. Supporting regulatory/audit activities and risk and control initiatives when needed is also expected. Qualifications: - 8+ years of analytics experience, with prior experience in Fraud analytics preferred - Advanced analytical and business strategy skills - Effective communication skills for presenting to business partners and leaders - Project and process management expertise - Excellent written and verbal communication skills - Experience in financial services analytics - Strong organizational skills and the ability to manage multiple projects simultaneously - Self-starter with the ability to work effectively in a team environment Education: - Bachelor's/University degree or equivalent experience; Master's degree preferred If you are a person with a disability and require reasonable accommodation to use our search tools or apply for a career opportunity, please review the Accessibility at Citi information. Additionally, you can view Citi's EEO Policy Statement and the Know Your Rights poster for more details.,

As a skilled Data Scientist with 4 years of experience, you will be responsible for leveraging your expertise in data analysis, machine learning, and statistical modeling to extract actionable insights from complex datasets. Your role will involve collaborating with cross-functional teams to solve business problems, develop predictive models, and contribute to data-driven decision-making processes. Your key responsibilities will include collecting, cleaning, and preprocessing large datasets from diverse sources to ensure data quality and integrity. You will design, develop, and implement machine learning models and algorithms to address business challenges, as well as perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Additionally, you will build and validate predictive and prescriptive models using statistical techniques and tools, collaborating with stakeholders to translate business requirements into data-driven solutions. Furthermore, you will create visualizations and dashboards to effectively communicate findings to technical and non-technical audiences. You will also optimize and fine-tune existing models to enhance accuracy, performance, and scalability, while staying current with industry trends, emerging tools, and advancements in data science and AI. Documenting methodologies, processes, and results for reproducibility and knowledge sharing will also be part of your responsibilities. To qualify for this role, you should hold a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, along with at least 4 years of professional experience as a Data Scientist or in a similar role. Proficiency in programming languages such as Python or R for data analysis and modeling is required, as well as strong experience with machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Expertise in statistical analysis, hypothesis testing, and experimental design is essential, along with hands-on experience with SQL for querying and manipulating large datasets. Knowledge of big data technologies such as Hadoop and Spark would be advantageous. Additionally, you should possess the ability to work in a collaborative environment, adapt to new AI technologies, and demonstrate excellent problem-solving skills. Strong communication skills are necessary to present complex findings in a clear and concise manner. Preferred skills for this role include experience with cloud platforms like AWS, Azure, and Google Cloud for data processing and model deployment, a background in natural language processing (NLP), computer vision, or time-series analysis, and understanding of software development practices such as version control with Git and CI/CD pipelines. In conclusion, as a valued member of our dynamic team at NewRocket, you will have the opportunity to work on cutting-edge data science projects, collaborate with top enterprise leaders, and contribute to the creation of new kinds of experiences for our customers. If you are passionate about data science and eager to make a meaningful impact, we invite you to join our crew and be part of our journey to #GoBeyondWorkflows.,

As a Clinical Operations Analytics Consultant at Lilly, you will be part of a dynamic team dedicated to leveraging data analytics, artificial intelligence (AI), and machine learning to drive insights, optimize processes, and contribute to the development of analytics and AI-based products and services. You will have the opportunity to work collaboratively with cross-functional teams to enhance operational reporting and analytics systems, resolve issues efficiently, and maintain stakeholder satisfaction through the delivery of high-quality outputs. Your role will involve developing and implementing AI and machine learning models to address business challenges, as well as staying abreast of the latest advancements in AI and data analytics. Key Responsibilities: - **Systems Development and Management:** Maintain a strong understanding of clinical trial systems within CDDA, collaborate with various functions to enhance operational reporting tools, and ensure timely resolution of system issues. - **AI and Analytics:** Utilize statistical methods and data visualization techniques to identify trends, design and deploy dashboards and automated tools, and develop AI and machine learning models to provide data-driven solutions. - **Research & Development:** Stay updated on AI and machine learning advancements, contribute to R&D projects for innovative solutions, and share expertise with less experienced team members as needed. Basic Requirements: - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related fields. - Proficiency in data analysis tools (e.g., Power BI, Tableau), programming languages (e.g., Python, R), and machine learning algorithms. - Strong communication skills to articulate complex AI concepts to non-technical stakeholders and collaborate with business owners to define requirements. Additional Skills/Preferences: - Experience in clinical data within pharmaceutical or biotech industries. - Familiarity with clinical trial systems like Planisware, Oracle, Veeva suite, etc. - Knowledge of AI ethics, process automation, and Agile methodologies. If you are a motivated and results-driven individual with a passion for leveraging data and AI to make a positive impact, we invite you to join our team at Lilly. Let's work together to create innovative solutions that improve the lives of people around the world. (Note: This job opportunity is located at Lilly Capability Center India, Bengaluru, India. Travel may be required up to 10% as part of the role. Lilly is committed to providing equal opportunities for individuals with disabilities. Accommodation requests can be made through the provided form.),

Understanding business objectives and developing models and the system that help to achieve them, along with metrics to track their progress Managing available resources such as hardware, data, and personnel so that deadlines are met Analyzing the Deep Learning, ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Demonstrable history of devising and overseeing data-centred projects Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies, feature engineering & data augmentation pipelines to be done on a given dataset Training models and tuning their hyperparameters Analysing the errors of the model and designing strategies to overcome them Deploying models to production Ability to relay insights in layman s terms, such that these can be used to inform business decisions. Collaborate with cross-functional teams, including SAP & Application team, customers to define requirements and implement AI solutions. Establish and enforce data governance standards & implement best practices for data privacy and protection in AI applications Qualifications and Education Requirements: Bachelor s/Master s degree in computer science, data science, mathematics or a related field. At least 6-8 years experience in building Al/ML applications

Location: IN Hyderabad Telangana Goodyear Talent Acquisition Representative: Jakkula Prashanth Sponsorship Available: No Relocation Assistance Available: No Job Description Global Manufacturing process developer with technical skills and knowledge, with a desire to grow as an architect Responsible for Manufacturing systems process delivery and implementation in APAC region, but also Globally Traveling as often as needed for projects implementation, Having technical developer skills (understand sql, understand MII flows ?) Understanding basic manufacturing production flow (eg: fifo, kanban ?) Involved in IT systems monitoring in the scope of Global MES (Manufacturing Execution System), Involved in incidents management and Support IT teams in investigating incidents, Actively work and collaborate with other workstreams, great collaboration and communication is a must, Support the operation of MES (Manufacturing Execution System): Release roll-out including PIR follow-up, transport monitoring, ,, Support development and testing, Requirements Experience IT technical background and experience, SAP Knowledge is an advantage, SQL knowledge and experience is needed, Additionally, any knowledge in these area is a plus: Java, SAP ME, SAP MII, SAP UI5, Fiori knowing SAP HANA is a plus You are a great team player and you love to collaborate with your peers You are flexible and you can work overtime if/as/when needed You are rigorous in following and executing implementation steps Goodyear is an Equal Employment Opportunity and Affirmative Action Employer All qualified applicants will receive consideration for employment without regard to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, ethnicity, citizenship, or any other characteristic protected by law, Goodyear is one of the worlds largest tire companies It employs about 68,000 people and manufactures its products in 53 facilities in 20 countries around the world Its two Innovation Centers in Akron, Ohio and Colmar-Berg, Luxembourg strive to develop state-of-the-art products and services that set the technology and performance standard for the industry For more information about Goodyear and its products, go to goodyear/corporate