92 Regression Analysis Jobs

Role Overview: As a Marketing Analyst at Google, you will be responsible for using your expertise in data analytics to address marketing challenges and identify optimization opportunities. You will play a crucial role in pushing brand and performance marketing to the next level by developing measurement plans, tracking requirements, and reporting on campaign results. Additionally, you will analyze media effectiveness, identify best practices, and communicate insights to executive stakeholders. Key Responsibilities: - Utilize data analytics knowledge to create solutions for marketing challenges and discover optimization opportunities. - Develop measurement plans, tracking requirements, and reporting metrics for major campaigns to evaluate the incremental impact of marketing efforts. - Analyze campaign results and assess media effectiveness across various stakeholder groups. - Establish processes to ensure alignment among stakeholders and clarify how campaign success is determined. - Conduct analysis to identify best practices, uncover opportunities, and highlight risks for executive stakeholders. Qualifications Required: - Bachelor's degree in a research or quantitative field such as Mathematics, Statistics, Engineering, Bioinformatics, or Economics, or equivalent practical experience. - 3 years of experience in designing, scoping, executing, and delivering research and analysis projects. - 3 years of experience translating business problems into research questions and translating research findings into marketing recommendations. - Experience managing research and measurement agencies. - 5 years of experience as a marketing analyst using statistical techniques. - 3 years of experience in statistical modeling and advanced measurement/analysis techniques. - Proficiency in data querying languages (e.g., SQL), tools for large complex data sets, and programming languages (e.g., Python). - Ability to use data for storytelling and present complex research findings to technical and non-technical audiences.,

As an Engineer at Goldman Sachs, you will have the opportunity to not only create things but also make the impossible possible. Your role will involve connecting people with capital and ideas, solving complex engineering challenges for clients, and contributing to the development of massively scalable software and systems. You will be part of a dynamic environment that values innovative strategic thinking and quick, practical solutions. If you are someone who is eager to explore the boundaries of digital possibilities, this is the place to start. **Key Responsibilities:** - Work closely with revenue-generating businesses to tackle a variety of problems, such as quantitative strategy development, modelling, portfolio construction, and optimization - Develop quantitative analytics and signals using advanced statistical and econometric techniques to enhance the portfolio construction process and implement fund management models - Build sustainable production systems that can adapt to the fast-paced global business environment - Provide quantitative analytics to optimize investment structure, pricing, returns, and capital sourcing - Collaborate globally with various divisions and engineering teams to create quantitative modeling-based solutions - Prioritize tasks effectively and communicate with key stakeholders **Qualifications Required:** - Bachelor's or master's degree in a quantitative discipline with experience in quantitative analytics and financial modeling - Proficiency in mathematical concepts such as probability, statistics, time series analysis, regression analysis, forecasting, optimization, machine learning, and numerical techniques - Solid understanding of design and analysis of algorithms and data structures - Ability to implement coding solutions for quantitative problems, with experience in developing finance and statistics-based applications using programming languages like Slang, Python, C, or C++ - Strong written and oral communication skills with the ability to work effectively in a team environment - Strong multitasking and prioritization skills - Passion and self-motivation to deliver technology solutions in a dynamic business environment Goldman Sachs is a leading global investment banking, securities, and investment management firm committed to fostering diversity and inclusion. The firm offers various opportunities for professional and personal growth, from training and development programs to benefits, wellness initiatives, and mindfulness programs. For more information about their culture, benefits, and people, visit GS.com/careers. Goldman Sachs is dedicated to providing reasonable accommodations for candidates with special needs or disabilities during the recruiting process. Learn more about their commitment to inclusivity at https://www.goldmansachs.com/careers/footer/disability-statement.html.,

Role Overview: You will be a data scientist responsible for developing and deploying impactful data solutions using your expertise in machine learning and statistical analysis. Your role will involve designing and implementing predictive models, collaborating with stakeholders, and driving strategic decisions through experimentation and data-driven insights. Key Responsibilities: - Design and implement robust machine learning solutions including regression, classification, NLP, time series, and recommendation systems. - Evaluate and tune models using appropriate metrics like AUC, RMSE, precision/recall, etc. - Work on feature engineering, model interpretability, and performance optimization. - Partner with stakeholders to identify key opportunities where data science can drive business value. - Translate business problems into data science projects with clearly defined deliverables and success metrics. - Provide actionable recommendations based on data analysis and model outputs. - Conduct deep-dive exploratory analysis to uncover trends and insights. - Apply statistical methods to test hypotheses, forecast trends, and measure campaign effectiveness. - Design and analyze A/B tests and other experiments to support product and marketing decisions. - Automate data pipelines and dashboards for ongoing monitoring of model and business performance. Qualification Required: - Proficiency in Python and MySQL. - Experience with libraries/frameworks such as scikit-learn, Pandas, NumPy, Time series, ARIMA, Bayesian model, Market Mix model, Regression, XGBoost, LightGBM, TensorFlow, PyTorch. - Proficient in statistical techniques like hypothesis testing, regression analysis, and time-series analysis. - Familiarity with databases like PostgreSQL, BigQuery, and MySQL. - Knowledge of visualization tools like Plotly, Seaborn, and Matplotlib. - Experience in Gitlab, CI/CD pipelines is a plus. - Familiarity with cloud platforms like AWS, GCP, or Azure services is also advantageous. In case of any additional details of the company, they are not provided in the job description.,

Understand and analyse clients business requirements to design and implement effective data solutions. Create and optimize data models to support client reporting and analytics needs. Proactively communicate with clients to provide project updates and address any issues or concerns. Comfortable to travel to meet customers in the US and go deeper on projects Provide mentorship and guidance to junior team members. Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes. Qualifications We are looking for people in Medellin, Colombia with Valid US Visa and 5+ years of experience in data science/analytics, with a proven track record of successfully delivering end-to-end data solutions. Skilled in statistical analysis, exploratory data analysis (EDA), and feature engineering to prepare data for model development. Experience in designing, developing, and deploying machine learning models into production environments. Proficient in supervised and unsupervised learning techniques, such as regression analysis, treebased models, and neural networks. Experience in working with ML modules such as scikit-learn, tensorflow Proficiency in SQL and Python for data manipulation and analysis. Experience in working with python modules such as pandas, numpy, matplotlib Strong understanding of business processes with a proven ability to collaborate with crossfunctional teams, identify pain points, and implement data-driven solutions. Experience with data warehouse platforms like Snowflake and Google BigQuery is highly desirable; familiarity with cloud platforms such as GCP and AWS is a plus. Experience with modern data stack tools (such as fivetran,dbt) Getting things done, knowing how to unblock yourself, communicating, and engaging with customers proactively with minimal supervision.

Role Overview We are seeking a detail-oriented Data Analyst to join our analytics team. The ideal candidate will transform raw data into actionable business insights, support data-driven decision making, and collaborate with cross-functional teams to drive business growth. Key Responsibilities Data Analysis & Reporting Analyze large datasets to identify trends, patterns, and business opportunities Create comprehensive reports and dashboards using SQL, Python, and visualization tools Perform statistical analysis and hypothesis testing to validate business assumptions Monitor key performance indicators (KPIs) and business metrics Business Intelligence Develop and maintain automated reporting systems and dashboards Collaborate with stakeholders to understand business requirements and translate them into analytical solutions Present findings and recommendations to senior management and cross-functional teams Support A/B testing initiatives and experimental design Data Management Extract, clean, and validate data from multiple sources Ensure data quality and integrity across reporting systems Document data processes and maintain data governance standards Work with engineering teams to improve data collection and storage Strategic Support Support business planning and forecasting activities Conduct ad-hoc analysis for various business units Identify opportunities for process optimization and efficiency improvements Contribute to data strategy and analytics roadmap Required Skills & Qualifications Technical Skills SQL: Advanced proficiency in writing complex queries, joins, and data manipulation Python/R: Experience with pandas, numpy, matplotlib, seaborn for data analysis Excel: Advanced Excel skills including pivot tables, VLOOKUP, and data modeling Visualization Tools: Proficiency in Tableau, Power BI, or similar BI tools Statistics: Understanding of statistical concepts, hypothesis testing, and regression analysis Business Skills Strong analytical and problem-solving abilities Excellent communication and presentation skills Ability to translate complex data insights into business recommendations Experience with A/B testing and experimental design Understanding of business metrics and KPIs Preferred Qualifications Bachelors degree in Mathematics, Statistics, Economics, Engineering, or related field 1-2 years of experience in data analysis or business intelligence Knowledge of ETL processes and data warehousing concepts Experience with Jupyter notebooks and version control (Git) ...

1 -5 years of experience in Analytics and HR consulting domain Minimum 2 years of experience in leading global HR analytics projects including predictive analytics, modelling, descriptive analysis, logistical and regression analysis to HR function related or people related challenges Master s degree in Analytics or HR full time MBA/EMBA Experience in master data management and data governance processes Working knowledge of HR Systems and other HR data sources Ideally, you ll also have Strong expertise in Analytics, experience of leading an analytics project for global clients with experience in one or more statistical tools and techniques including Proven skills in the following R,Python, Alteryx, PowerApps, Power Automate, Advance Excel (VBA & Forms), Proven track record of data extraction/transformation analytics, and visualization approaches and a high degree of data fluency Descriptive analysis, logistical and regression analysis Experience working on GenAI/LLMs is a good to have Experience in big data and machine learning concepts Experience in statistics, predictive analytics, modelling and application of predictive to HR function related or people related challenges Experience in consulting for global organizations, across industry in the areas of Workforce planning & restructuring Survey analytics Recruitment Analytics Survey Analytics Learning & Development Analytics Clustering Experience in determining Key People Metrics by analysing data sets & identifying trends Strong expertise in data cleansing, validation, reconciliation, model creation. Experience in managing data, deriving insights and reporting that enable business decision making and provide financial impact of a transaction Experience in stakeholder management. Experience in client management Excellent written and verbal communications

5+ years of experience in Analytics and HR consulting domain Minimum 5 years of experience in leading global HR analytics projects including predictive analytics, modelling, descriptive analysis, logistical and regression analysis to HR function related or people related challenges Master s degree in Analytics or HR full time MBA/EMBA Experience in master data management and data governance processes Working knowledge of HR Systems and other HR data sources Ideally, you ll also have Strong expertise in Analytics, experience of leading an analytics project for global clients with experience in one or more statistical tools and techniques including Proven skills in the following R,Python, Alteryx, PowerApps, Power Automate, Advance Excel (VBA & Forms), Proven track record of data extraction/transformation analytics, and visualization approaches and a high degree of data fluency Descriptive analysis, logistical and regression analysis Experience working on GenAI/LLMs is a good to have Experience in big data and machine learning concepts Experience in statistics, predictive analytics, modelling and application of predictive to HR function related or people related challenges Experience in consulting for global organizations, across industry in the areas of Workforce planning & restructuring Survey analytics Recruitment Analytics Survey Analytics Learning & Development Analytics Clustering Experience in determining Key People Metrics by analysing data sets & identifying trends Strong expertise in data cleansing, validation, reconciliation, model creation. Experience in managing data, deriving insights and reporting that enable business decision making and provide financial impact of a transaction Experience in stakeholder management. Experience in client management Excellent written and verbal communications

Lead Operations Analytics: Lead a team of data analysts and own the Zinnia Operations Analytics vision Drive analytics strategy: Independently own and drive key analytics initiatives in Operations, proactively identifying areas for efficiency improvements and cost optimization. Advanced analytics & measurement: Move beyond basic dashboards and leverage inferential modeling, causal analysis, and experimental design to generate actionable insights. Experimentation & testing: Design and implement A/B tests to measure the impact of operational improvements, optimizing key processes such as fraud detection, customer interactions, and compliance. Operational KPIs & business impact: Develop frameworks to measure Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other key operational metrics, ensuring data-driven decision-making. Data storytelling & visualization: Translate complex data insights into clear, actionable recommendations using visual storytelling techniques in Power BI and other visualization tools. Cross-functional collaboration: Work closely with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs. Scalability & automation: Partner with Data Engineering to enhance data pipelines, data models, and automation efforts that improve efficiency and reduce manual work. Thought leadership & best practices: Drive data analysis best practices and mentor junior analysts, fostering a culture of analytical rigor and excellence. WHAT YOU LL NEED: 8+ years of experience in data analytics, with a focus on Operations, Business Strategy, or Process Optimization. Expertise in SQL, Python and with a strong ability to work with relational cloud databases (Redshift, BigQuery, Snowflake) and unstructured datasets. Experience designing A/B tests and experimentation frameworks to drive operational improvements. Strong statistical knowledge, including regression analysis, time-series forecasting, and causal inference modeling. Experience in operations analytics such as workforce efficiency, process optimization, risk modeling, and compliance analytics. Hands-on experience with data visualization tools (Power BI, Tableau, Looker) and the ability to present insights effectively to leadership. Ability to work independently, take ownership of projects, and influence business decisions through data-driven recommendations. Strong problem-solving skills and a proactive mindset to identify business opportunities using data

As a Data Science Analyst at McKinsey, you will be part of the Insights & Analytics group, collaborating with consulting teams to tackle analytically complex client problems in the marketing domain. Your role will involve applying analytical and modeling tools, leveraging statistical techniques, and conducting predictive modeling to derive valuable insights. Your responsibilities will primarily focus on client service, with additional tasks related to knowledge development. Key activities will include conducting statistical analysis and modeling for marketing initiatives, developing models for pricing and promotions optimization, providing guidance on analytics projects, contributing to the enhancement of proprietary marketing techniques, and supporting knowledge development efforts. Additionally, you will have the opportunity to coach and mentor new team members, sharing your expertise in business, functional, and technical aspects. Ensuring the delivery of high-quality results within specified timelines and conducting quality checks when necessary will also be part of your role. You will collaborate with the Growth, Marketing & Sales team in either Gurgaon or Bengaluru, primarily supporting the Insights & Analytics group. This team leverages McKinsey's extensive marketing and sales experience to help clients enhance pricing, promotion strategies, and performance management through a combination of software, tailored services, and expertise. McKinsey Solutions, a rapidly expanding segment of the firm, is seeking professionals like you to join its team. With a focus on innovation through analytics, design thinking, mobile, and social solutions, McKinsey Solutions aims to develop new products/services and incorporate them into client projects. By leveraging innovative software, strategic partnerships, and a culture of entrepreneurship, McKinsey is redefining its approach to consulting. To qualify for this role, you must hold a master's degree in statistics, economics, econometrics, computer science, engineering, mathematics, or MBA with a strong quantitative background. Additionally, you should have at least 2 years of relevant experience in analytics, statistics, or advanced analytics. Proficiency in statistical programming languages such as Python, and experience working with large datasets using R and SQL, is essential. Strong analytical, problem-solving, and forecasting skills, along with expertise in regression analysis and segmentation work, are required. Familiarity with modeling techniques like logistic regression, linear regression, cluster analysis, and CHAID is preferred. Industry experience in consumer goods, telecom, or retail is a plus, and the ability to thrive in a dynamic and fast-paced environment, where priorities may shift frequently, is crucial. You should be comfortable working under pressure and meeting tight deadlines to excel in this role.,

You will be responsible for conducting Exploratory Data Analysis (EDA) and data wrangling to clean, process, and visualize large datasets. Your primary task will involve developing and implementing Machine Learning models for demand forecasting using Python. Additionally, you will work on feature engineering to enhance model accuracy and performance. Handling time-series data processing for efficient forecasting will be a crucial part of your role. Collaborating with cross-functional teams is essential to deliver actionable insights from data analysis. You will utilize Excel for basic data manipulation tasks like pivoting, creating formulas (e.g., VLOOKUP, SUMIF), and performing aggregation functions. Working with SQL to query databases and write complex queries with JOIN, GROUP BY, WHERE clauses, and subqueries is a part of your daily responsibilities. Your main objective will be to provide solutions and insights for business forecasting within project timelines. Architecting and building end-to-end machine learning solutions, which include data extraction, feature engineering, model development, validation, deployment, and monitoring, based on statistical analysis, are critical aspects of the role. Developing and maintaining robust MLOps pipelines to automate and scale model deployment to ensure workflow reliability is also part of your duties. Applying statistical techniques such as hypothesis testing, A/B testing, and regression analysis to validate models and enhance decision-making are necessary. Your ability to translate complex business problems into analytical solutions using statistical reasoning and provide expert guidance on data science use cases will be valuable. Qualifications: Education: You should hold a Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field. A PhD is preferred. Experience: A minimum of 7 years of experience as a Data Scientist or in a related role is required. Technical Skills: - Proficiency in Python and R programming languages - Experience with machine learning libraries like scikit-learn, TensorFlow, and PyTorch - Familiarity with data visualization libraries such as matplotlib, seaborn, and Tableau - Knowledge of big data technologies including Hadoop, Spark, and SQL - Experience with cloud computing platforms like AWS, Azure, or GCP is preferred Preferred Skills: - Experience with natural language processing (NLP) and deep learning techniques - Proficiency in time series analysis and forecasting - Knowledge of data mining and predictive modeling - Strong communication and presentation skills - Experience with Agile development methodologies Please note that the above qualifications and skills are essential for excelling in this position.,

Career Category Information Systems Job Description Job Description Associate Machine Learning Engineer Role Name: Machine Learning Engineer Department Name: AI & Data Science Role GCF: 0 3 ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases, and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what s known today. ABOUT THE ROLE Role Description: We are seeking a highly skilled Associate Machine Learning Engineer with MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines. Roles & Responsibilities: Collaborate with data scientists to develop, train, and evaluate machine learning models. Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring. Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment. Support i mplement ation of DevOps/ MLOps best practices to automate ML workflows and improve efficiency. Support d evelop ment and implement ation of monitoring systems to track model performance and identify issues. Conduct A/B testing and experimentation to optimize model performance. Work closely with data scientists, engineers, and product teams to deliver ML solutions. Must-Have Skills: Solid theoretical foundation in machine learning algorithms and techniques Experience in at least one MLOps practices and tools (e. g. , MLflow , Kubeflow, Airflow); Experience in DevOps tools (e. g. , Docker, Kubernetes, CI/CD) Proficiency in Python and a t least one ML librar y (e. g. , TensorFlow, PyTorch , Scikit-learn) Strong analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills Good-to-Have Skills: Experience with big data technologies (e. g. , Spark, Hadoop), and performance tuning in query and data processing Experience with data engineering and pipeline development Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Knowledge of NLP techniques for text analysis and sentiment analysis Education and Professional Certifications Bachelor s degree with 2-5 years of experience in Computer Science, I T or related field Certifications on GenAI /ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc. ) Soft Skills: Strong analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. EQUAL OPPORTUNITY STATEMENT We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation . Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers. amgen. com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease . .

As a Professional in Operations at Standard Chartered, you will be responsible for analyzing the comprehensive impact of financial crime-related regulatory matters on the relevant business area and its operations. Your key duties include ensuring that key changes to laws, rules, and regulations are effectively communicated and cascaded within the region or country in coordination with group communications. You will be required to regularly engage with business stakeholders to understand their requirements and address their concerns. In this role, you must be proficient in various technical skills such as problem-solving abilities, working independently and proactively, and possessing good communication skills. You should also have hands-on experience with programming solutions like SAS, SQL, R, Python, PySpark, HQL, relational databases such as Oracle, SQL Server, MySQL, DB2, and HaaS (Hadoop), as well as web-based application development tools like HTML, CSS, JavaScript frameworks, and web frameworks like Django or Flask. Furthermore, you will be expected to promote and embed a culture of openness, trust, and risk awareness among your team, where ethical, legal, regulatory, and policy-compliant conduct is the norm. You should have a strong understanding of risk management principles and apply risk and data analytic tools/techniques to optimize relevant detection scenarios and monitoring systems. To excel in this role, you must have domain skills including exposure to monitoring systems like DETICA and MANTAS, knowledge/experience with big data tools like Hadoop and Spark, and familiarity with machine learning algorithms/systems. Additionally, you should possess strong analytical and problem-solving expertise, excellent communication and documentation skills, and the ability to work collaboratively as part of a high-functioning team of financial intelligence specialists. Qualifications for this position include a postgraduate degree in Management/Statistics/Mathematics or a graduate degree in Engineering from a reputed institution. An active ACAMS/ICA/CFE certification is preferred, along with proficiency in English language skills. Join us at Standard Chartered, an international bank with a rich history of making a positive difference for clients, communities, and employees. If you are a quick learner with a desire to work in a purpose-driven environment, we invite you to be part of our inclusive and values-driven organization, where every talent is celebrated and respected. We are committed to supporting your growth and development through continuous learning opportunities and a range of benefits aimed at enhancing your overall well-being and work-life balance.,

As a highly analytical Demand Planning Automation Analyst, you have a solid background in demand planning, supply chain management, and statistical forecasting. You are proficient in utilizing advanced tools such as R, VBA, Microsoft Power BI, and other Microsoft Office applications to automate processes and enhance forecasting accuracy. Your demonstrated ability to collaborate effectively with cross-functional teams and global stakeholders enables you to drive improvements in demand planning strategies and achieve operational excellence. You bring functional expertise in demand and supply planning, showcasing proficiency in demand planning, supply planning, or supply chain management. Your comprehensive understanding of processes influencing demand forecasting and supply chain dynamics, coupled with familiarity with industry best practices and methodologies, enhances your capabilities in demand planning and inventory management. Your technical proficiency includes hands-on experience with tools such as R for statistical analysis, VBA for automating tasks in Excel, and Microsoft Power BI for data visualization and reporting. You are proficient in using Microsoft Office applications for data analysis, report generation, and stakeholder communication. In collaboration with stakeholders, you demonstrate a strong ability to work with regional and global stakeholders to identify trends, events, and outliers impacting demand forecasts. Your collaborative experience with local and regional planning, marketing, trade, and finance teams enables you to estimate promotional volumes for various products and offerings effectively. Your active involvement in monthly planning forums aligns you with planning teams, discussing production plans and managing exceptions effectively. Coordinated efforts with demand planners to reduce Mean Absolute Percentage Error (MAPE) and forecasting bias foster a culture of continuous optimization in demand planning. You regularly review forecast accuracy and relevant metrics to identify improvement opportunities and implement strategies to enhance forecasting reliability. Collaborating with country teams on inventory management allows you to optimize Reorder Point (ROP) and Safety Stock (SS) levels while controlling inventories of discontinued products and leveraging verified patient data for improved forecasting. Your technical skills include proficiency in tools and technologies such as R, VBA, Microsoft Power BI, and Microsoft Office. You are adept in statistical techniques like time series analysis, regression analysis, and demand forecasting methodologies. Familiarity or experience with supply chain systems like Kinaxis RapidResponse is preferred, along with the ability to manipulate, analyze, and visualize data for informed decision-making.,

As a Senior Account Manager at Edelman's Digital Advisory team, you will play a crucial role in driving analytics design and providing innovative approaches to derive insights from both unstructured and structured digital data. Your responsibilities will include leading day-to-day account management, scoping research/analytics projects, and ensuring the operational performance of accounts. You will be expected to translate high-level business problems of clients into actionable analytics objectives, deliver strategic insights to drive business outcomes, and build strong client relationships. Additionally, you will lead a diverse team of digital specialists in a fast-paced environment, applying data science techniques to derive meaning from digital big data. The ideal candidate for this role should possess a Bachelor's or Master's degree in a quantitative or business field with at least 4 years of work experience. You should have technical acumen and experience in qualitative and quantitative analytics, customer data platforms, web analytics, and predictive modeling. Proficiency in programming languages such as Python and R is required. Strong communication skills, structured thinking, and the ability to manage simultaneous tasks in a technology-oriented environment are essential. Business acumen, including the ability to challenge the status quo, differentiate between outcomes and outputs, and work collaboratively in a team setting, will be key to success in this role. While experience in the agency side of business is advantageous, we are committed to building a diverse and inclusive workplace. If you are excited about this opportunity and believe you can contribute to the team, we encourage you to apply even if your experience does not perfectly align with every qualification listed. Join us in reimagining the future of communication and making a meaningful impact in the digital advisory space at Edelman.,

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.,

You are an experienced and data-driven Sales and Marketing Analyst with a high degree of competency in predictive modeling and data analytics. Your role is critical in helping the team leverage data to make strategic decisions, forecast market trends, and optimize sales and marketing performance. You are adept at analyzing large datasets, identifying patterns, and utilizing advanced predictive models to deliver actionable insights that drive business growth. Your responsibilities include monitoring and forecasting marketing and sales trends, predictive modeling for Marketing Lead Prioritization using tools like R, Python Scripts, Power BI, Tableau, etc. You will utilize advanced machine learning techniques to predict future customer actions and identify leading indicators of marketing and sales success to optimize campaigns and improve ROI. Additionally, you will gather data about consumers, competitors, and market conditions and convert complex data into understandable graphs, tables, and written reports. You will also prepare reports and present them to leadership. As a Sales and Marketing Data Analyst, you will break down key business data, including revenue cycles, sales, market information, and customer behavior. You will interpret data, identify patterns or areas for improvement, and share your findings with business, marketing, and sales professionals to provide data-driven strategies to optimize sales. Business intelligence analysts demonstrate strong skills in data analysis, communications, management, and computer analytics programs. Experience Preferred: - 3 years of relevant experience in Marketing, Statistics, Consulting, and Marketing Analytics, preferably in areas such as customer analytics, marketing campaign analysis, or CRM analysis. Education: - Bachelor's degree in Marketing, Data Science, Business Analytics, Statistics, Economics, or related field (Master's preferred). Analytics Requirements: - Advanced understanding of Salesforce, Power BI, R, Python, or similar tools with the ability to develop complex from-scratch queries. - Experience using tools like R and Python for predictive models and machine learning algorithms. - Ability to understand retrieval of large data sets and the analytical activities required to validate findings and present impactful recommendations. - Basic knowledge of programming logic and database design, including understanding table structure, table relationships, and the creation and production of both static and dynamic reports. - Track record of using data and insights to drive change and implement new initiatives. You are expected to be an immediate joiner for this position.,

It is exciting to work in a company where you truly BELIEVE in the mission and vision! At Fractal, we are dedicated to bringing passion and customer focus to our business. When you join us, you become part of a rapidly growing team that assists our clients in utilizing AI and behavioural sciences to enhance decision-making processes. As a strategic analytics partner to some of the most esteemed Fortune 500 companies globally, we empower every human decision within the enterprise through analytics, AI, and behavioural science. Fractal stands out as a leading player in the Artificial Intelligence field, with a mission to influence every human decision in the enterprise by harnessing the potential of AI to support Fortune 500 companies. Your responsibilities will include leading the analysis of employee data from various sources to identify significant trends and insights, and overseeing the delivery of the analytics calendar. You will design and maintain user-friendly dashboards and reports to communicate people insights and key performance indicators in an intuitive manner, primarily using Excel and Power BI. Collaboration with Business partnering, cross-functional, and operations teams is crucial for driving data-driven recommendations. Additionally, you will manage ad hoc projects, define metrics, and provide ongoing dashboards and reports to inform talent strategies. Ensuring the integrity, security, and quality of people analytics data through data governance frameworks is also part of your role. Moreover, you will offer leadership and training to team members on analytics best practices to cultivate a data-driven culture within the function. As for the required skills and qualifications, we are looking for candidates with an MBA and a bachelor's degree in engineering, Statistics, Data Science, or a related field. You should have at least 5 years of experience in business analysis, corporate strategy/planning, with hands-on experience in creating dashboards and insights presentations for C-Suite stakeholders. Proficiency in Excel, visualization techniques, and a working understanding of statistical techniques like regression are essential. Strong analytical skills, the ability to interpret complex data sets, and communicate findings clearly to diverse audiences are also key requirements. In terms of competencies, we value problem-solving aptitude with attention to detail, the ability to align business strategy with talent strategy, and the capability to conduct in-depth analysis and develop impactful visualizations. If you thrive in a dynamic environment and enjoy collaborating with enthusiastic individuals, you will find a rewarding career at Fractal! If this opportunity does not align with your current goals, feel free to express your interest in future openings by clicking on "Introduce Yourself" or setting up email alerts for relevant job postings.,

You will work with cross-functional and cross-regional teams for data analysis, monitoring, and forecasting. You will be responsible for creating logic for implementing strategies, providing requirements to data scientists and technology teams, and communicating with global stakeholders to ensure the best possible customer experience. As a technical expert on complex subjects, you will support management in analyzing, interpreting, and applying complex information to achieve divisional and corporate goals. You will lead projects by applying your expertise and lead the development and implementation of advanced analytical models and algorithms to support decision-making processes. Your responsibilities will include utilizing statistical analysis and machine learning techniques to extract insights from large datasets, collaborating with business stakeholders to understand their needs and translate them into actionable solutions, designing and conducting experiments to test hypotheses, and evaluating the effectiveness of strategies. Additionally, you will mentor and coach junior team members, communicate findings and recommendations to stakeholders through data visualization, reports, and presentations, stay updated on the latest advancements in data science and technology trends, and evaluate their potential impact on the business. To qualify for this role, you should have a Master's or Ph.D. degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, or a related field. You should have 4-8 years of experience in data analysis, statistical modeling, and machine learning, with proficiency in programming languages such as Python, R, or SQL. Experience with statistical analysis tools and libraries, strong quantitative methods understanding, and cloud technologies (especially Azure) experience is preferred. Strong communication and interpersonal skills are essential for collaborating with cross-functional teams and influencing decision-making processes. Prior experience in a senior-level role is preferred, along with analytical skills, accuracy, attention to detail, planning and organizing skills, influencing and persuasion skills, and presentation skills. FedEx is an equal opportunity/affirmative action employer committed to a diverse, equitable, and inclusive workforce. Regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy, physical or mental disability, or any other characteristic protected by laws, regulations, and ordinances, all qualified applicants will be considered for employment. FedEx is a global transportation company that values its team members and upholds the People-Service-Profit philosophy. The company's success is attributed to its culture, which encourages innovation, quality service delivery, and employee well-being. FedEx's culture and values have been pivotal since its inception and continue to drive its success in the global marketplace.,

You will work collaboratively with cross-functional and cross-regional teams to conduct data analysis, monitoring, and forecasting. Your role will involve creating logic for implementing strategies, providing requirements to data scientists and technology teams on attribute, model, and platform needs, and ensuring effective communication with global stakeholders to enhance customer experience. As a Grade 14 employee, you will be required to act as a technical expert on complex and specialist subjects. Your expertise will support management in analyzing, interpreting, and applying complex information to contribute to the divisional and corporate goals. Additionally, you may support or lead projects by utilizing your specialized knowledge. Your main responsibilities will include leading the development and implementation of advanced analytical models and algorithms to facilitate decision-making processes. You will apply statistical analysis and machine learning techniques to derive insights from large and intricate datasets. Collaborating with business stakeholders, you will translate their needs into actionable analytical solutions. Furthermore, you will design and conduct experiments to evaluate the effectiveness of strategies and interventions, mentor junior team members, and communicate findings to stakeholders through data visualization, reports, and presentations. We are seeking candidates with a Master's or Ph.D. degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, or a related field. The ideal candidate will have 4-8 years of experience in data analysis, statistical modeling, and machine learning, demonstrating a history of delivering actionable insights and solutions. Proficiency in programming languages like Python, R, or SQL, along with experience in statistical analysis tools and libraries, is preferred. A strong grasp of quantitative methods, including regression analysis, time series analysis, optimization, and experimental design, is essential. Experience working with Cloud Technologies, particularly Azure, is advantageous. Excellent communication, interpersonal skills, and the ability to collaborate effectively with diverse teams are crucial. Prior experience in a senior-level role is desirable. FedEx is an equal opportunity/affirmative action employer committed to fostering a diverse, equitable, and inclusive workforce. Regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy, physical or mental disability, or any other protected characteristic, all qualified applicants will be considered for employment. FedEx, a global express transportation company, is dedicated to providing exceptional service and business solutions to customers across more than 220 countries and territories. The company's success is attributed to its outstanding team of FedEx team members who strive to deliver exceptional experiences daily. The People-Service-Profit (P-S-P) philosophy guides every decision and activity at FedEx. By prioritizing the well-being of its people, FedEx ensures impeccable service for customers, leading to profitability that secures the company's future. Reinvesting profits into the business and its employees is integral to the P-S-P philosophy, creating an environment where team members are encouraged to innovate and deliver high-quality service. FedEx values its employees" well-being and recognizes their contributions to the company's success. FedEx's culture, rooted in its values and behaviors, has been instrumental in the company's growth and success. The unique culture sets FedEx apart in the global marketplace, emphasizing the importance of authenticity and integrity in all aspects of its operations.,

The role of Lead Enterprise Analytics at Tesco involves partnering with Business teams to enable data-driven decisions and deliver on the organization's key strategic priorities and business impact. You will be responsible for developing and leading a high-performing team, setting direction, and coaching them to succeed. Initiating and designing continuous improvement initiatives to drive performance within the teams, achieving team objectives, stakeholder management, and making decisions within policy and procedure framework to deliver business plans are also part of the role. Furthermore, you will engage with business teams to understand their key objectives, translate business problems into analytical problems, and scope the same into an analytical scoping document. You will own the creation and delivery of long-term plans programs based on key priorities of the business function, proactively spot sizeable opportunities to deliver value beyond the agreed plans, and institutionalize robust ways of working. Additionally, you will drive value realization through the delivery of high-impact projects and efficiency gains through automation. It is essential to establish frameworks to quantify business impact, measure return on investment for Analytical Investments, and build a culture of continuous measurement. Developing and leading an impactful team, crafting an environment for success, and mentoring colleagues for their career development are crucial aspects of the role. The ideal candidate should have 7-10 years of experience in analytics delivery, preferably in industries such as Retail, CPG, or e-Commerce. Proficiency in Applied Math concepts like Regression Analysis, Tree Based Algorithms, Neural Network, Classification, Clustering, Optimization Programming, Design of Experiments, and technologies like Python, SQL, Hive, Hadoop, Spark, Tableau, PyDash or any other web-based visualization tool is required. Retail expertise, partnership management, analytical thinking, problem-solving skills, storyboarding, and people management skills are also necessary for this role. At Tesco, we are committed to providing a unique, differentiated, market-competitive reward package for our colleagues, based on the current industry practices. The Total Rewards offered at Tesco are determined by four principles - simple, fair, competitive, and sustainable, including performance bonuses, leave entitlement, retirement benefits, health and wellness programs, financial literacy support, savings plans, and physical wellbeing initiatives. Tesco in Bengaluru is a multi-disciplinary team serving customers, communities, and the planet across markets, striving to create a sustainable competitive advantage for Tesco. With expertise in standardizing processes, delivering cost savings, enabling agility through technological solutions, and empowering colleagues, Tesco in Bengaluru aims to offer high-quality services for customers worldwide. Established in 2017, Tesco Business Solutions (TBS) is committed to driving scale at speed and delivering value to the Tesco Group through decision science, supporting markets and business units globally while creating impactful outcomes for the future of the business.,

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

You will work closely with cross-functional and cross-regional teams to perform data analysis, monitoring, and forecasting. Your responsibilities will include creating logic for and implementing strategies, providing requirements to data scientists and technology teams on attribute, model, and platform requirements, and communicating with global stakeholders to ensure the delivery of the best possible customer experience. As a Grade 14 technical expert, you will support management with the analysis, interpretation, and application of complex information, contributing to the achievement of divisional and corporate goals. You will also support or lead projects by applying your expertise in the relevant field. Your main responsibilities will involve leading the development and implementation of advanced analytical models and algorithms, utilizing statistical analysis and machine learning techniques to extract insights from complex datasets, collaborating with business stakeholders to translate their needs into actionable solutions, designing and conducting experiments to evaluate strategies, mentoring junior team members, and communicating findings to stakeholders through various mediums. To qualify for this role, you should hold a Master's or Ph.D. degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, or a related field. You should have 4-8 years of experience in data analysis, statistical modeling, and machine learning, with proficiency in programming languages like Python, R, or SQL, and experience in statistical analysis tools and libraries. A strong understanding of quantitative methods and experience with cloud technologies, especially Azure, is preferred. Excellent communication, interpersonal skills, and prior experience in a senior-level role are also desired qualities. At FedEx, we prioritize a diverse, equitable, and inclusive workforce, and we are committed to fair treatment and providing growth opportunities for all individuals. As an equal opportunity/affirmative action employer, we value people first and offer a work environment that encourages innovation and high-quality service delivery to our customers. FedEx, one of the world's largest express transportation companies, is dedicated to providing outstanding service to customers across more than 220 countries and territories. Our success is attributed to our exceptional team of FedEx members who strive to deliver exceptional experiences every day.,

You are a skilled Colleague Experience Survey Analyst with over 5 years of experience, seeking to drive meaningful insights and continuous improvements across the employee lifecycle. Your role involves conducting advanced data analysis, leading survey research end-to-end, developing forecasting models, supporting digital HR transformation projects, and collaborating with agile teams to enhance employee engagement and workplace culture. Your key responsibilities include performing advanced data analysis using inferential statistics, correlations, and regression techniques to identify patterns in employee feedback. You will lead survey research from questionnaire design to statistical analysis and reporting, develop forecasting models, and contribute to digital HR transformation projects. Your role also involves collaborating with agile teams and stakeholders to deliver data-backed insights that improve employee engagement and workplace culture. To excel in this role, you must have a strong command of analytical and statistical techniques, experience with survey programming platforms such as Glint, PeakOn, or Qualtrics, proficiency in SQL, Python, or other database querying tools, and high-level planning and resource alignment capabilities. Additionally, familiarity with technology change, exceptional problem-solving skills, and proficiency in Microsoft Office Suite are required. Preferred skills include experience in benefits realization tracking and strategic forecasting, proven ability to work independently and in collaborative agile teams, and a passion for employee experience with an insight-driven approach. A Bachelor's degree in any discipline is a must-have qualification, while a Master's degree is preferred. During the assessment process, you may be evaluated on areas such as change and transformation, risk and controls, strategic thinking, digital and technology orientation, and technical and analytical capabilities.,

You will work with cross-functional and cross-regional teams for data analysis, monitoring, and forecasting. This involves creating the logic for and implementing strategies, providing requirements to data scientists and technology teams on attribute, model, and platform requirements. Additionally, you will communicate with global stakeholders to ensure the delivery of the best possible customer experience. As a technical expert on complex and specialist subjects, you will support management with the analysis, interpretation, and application of complex information. Your contributions will aid in achieving divisional and corporate goals by supporting or leading projects within your area of expertise. Your main responsibilities will include leading the development and implementation of advanced analytical models and algorithms to facilitate decision-making processes. You will utilize statistical analysis and machine learning techniques to derive insights from large and complex datasets. Collaboration with business stakeholders to understand their needs and requirements, translating them into actionable analytical solutions is crucial. Moreover, designing and conducting experiments to test hypotheses and evaluate the effectiveness of strategies and interventions will be part of your role. Mentoring and coaching junior team members, providing guidance on technical skills and professional development, will also be expected. Communication of findings and recommendations to stakeholders through data visualization, reports, and presentations is essential. Staying updated with the latest advancements in data science, machine learning, and technology trends to evaluate their potential impact on the business is a key aspect of this position. We are looking for candidates with a Master's or Ph.D. degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, or a related field. A minimum of 4-8 years of experience in data analysis, statistical modeling, and machine learning, with a proven track record of delivering actionable insights and solutions, is required. Proficiency in programming languages such as Python, R, or SQL, and experience with statistical analysis tools and libraries is essential. A strong understanding of quantitative methods, including regression analysis, time series analysis, optimization, and experimental design, is necessary. Experience working with Cloud Technologies, especially Azure, is preferred. Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making processes, are expected. Prior experience in a senior-level role is preferred. Analytical skills, accuracy and attention to detail, planning and organizing skills, influencing and persuasion skills, and presentation skills are qualities that will contribute to success in this role. FedEx is an equal opportunity/affirmative action employer committed to a diverse, equitable, and inclusive workforce. All qualified applicants will be considered regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy, physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. FedEx, one of the world's largest express transportation companies, consistently recognized as one of the top 10 World's Most Admired Companies by "Fortune" magazine, delivers for its customers with transportation and business solutions to more than 220 countries and territories globally. The success of FedEx is attributed to its outstanding team of FedEx team members who strive to make every FedEx experience outstanding. The People-Service-Profit philosophy (P-S-P) governs every decision, policy, or activity at FedEx. Taking care of our people leads to impeccable service for our customers, resulting in the profitability that secures our future. By reinvesting profits back into the business and our people, we maintain a positive work environment that encourages innovation and high-quality service delivery. Our culture, values, and unique approach to business have been vital to our success and growth since our inception in the early 1970s.,

As the Head of Data at our Bengaluru (Bellandur) location, you will be responsible for leading the design, development, and optimization of ETL/ELT pipelines to process structured and unstructured data. You will play a key role in maintaining a modern data warehouse/lakehouse architecture, implementing data partitioning, indexing, and performance tuning strategies, and ensuring robust cataloging, data quality rules, validation checks, and monitoring systems are in place. Additionally, you will define appropriate data privacy and security guidelines and take ownership of business metrics from extracting and exploring data to evaluating methods and results rigorously. Collaborating with stakeholders, you will define and implement key business metrics, establish real-time monitoring for critical KPIs, and build and maintain BI dashboards automation with consistency and accuracy in reporting. Your role will involve performing A/B testing, generating and validating business hypotheses, designing analytical frameworks for product funnels and biz ops, and empowering business teams with self-service reporting and data crunching. Furthermore, you will be responsible for building predictive models such as churn prediction, demand forecasting, route planning, and fraud detection. Developing Advanced ML solutions like recommendation systems, image processing, and Gen AI applications will be part of your responsibilities. You will deploy machine learning models into production, monitor models, update them, and ensure proper documentation. In collaboration with product managers, engineering, risk, marketing, and finance teams, you will align analytics with business goals. Building and mentoring a high-performing analytics team, defining the analytics vision and strategy, and translating it into actionable roadmaps and team initiatives will be crucial. Presenting actionable insights to senior executives and stakeholders, solving ambiguous problems through a structured framework, and executing high-impact work are key aspects of this role. To qualify for this position, you should have 10-12 years of experience with at least 6 years in delivering analytical solutions in B2C consumer internet companies. A Bachelor's Degree in a data-related field such as Industrial Engineering, Statistics, Economics, Math, Computer Science, or Business is required. Strong expertise in Python, R, TensorFlow, PyTorch, and Scikit-learn, as well as hands-on experience with AWS, GCP, or Azure for ML deployment, is essential. Proven experience in Power BI report development, ETL pipelines, data modeling, and distributed systems is also necessary. Expertise in supply chain processes and demand forecasting, along with skills in time series models and regression analysis, will be beneficial. Strong documentation skills and the ability to explain complex technical concepts to non-technical personnel are also required for this role.,