263 Hypothesis Testing Jobs - Page 4

The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team focuses on driving acquisitions, cross-sell, revenue growth & improvements in client experience by extracting relevant insights, identifying business opportunities, converting business problems into analytical frameworks, using big data tools and machine learning algorithms to build predictive models & other solutions, and designing go-to-market strategies for a wide variety of business challenges. As an Asst. Vice President (C12) in the TTS Analytics team, you will report to the VP or SVP leading the team. Your responsibilities will include working on multiple analyses throughout the year on business problems across the client life cycle - acquisition, engagement, client experience, and retention for the TTS business. This will involve leveraging various analytical approaches, tools, and techniques, and working on multiple data sources such as client profile & engagement data, transactions & revenue data, digital data, and unstructured data like call transcripts to provide data-driven insights to business and functional stakeholders. To qualify for this role, you should have a Bachelor's Degree with 7-10 years of experience in data analytics, or a Master's Degree with 6-10 years of experience in data analytics, or a PhD. You must have experience in business analytics, working on sales/marketing strategy optimization, pricing optimization, client experience, cross-sell, and retention. Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, and test vs. control comparison is essential. Proficiency in working with large datasets using technologies such as PySpark, Hive, Impala, and SQL is required. Analytical Skills: - Ability to understand complex business problems, break them down into simpler solvable parts, and develop analytical approaches to tackle them - Strong logical reasoning and problem-solving ability - Proficient in converting business problems into analytical tasks and analytical findings into business insights - Proficient in identifying trends and patterns with data Tools and Platforms: - Proficient in Python/R, PySpark, and SQL - Experience in Hive - Proficient in MS Excel and PowerPoint - Good to have: Experience with Tableau Soft Skills: - Ability to drive clear and comprehensive communication flow between business stakeholders and the team - Translate analytical findings into key insights and actionable recommendations - Ability to coach and mentor team members - Drive ideation on analytical projects to tackle strategic business priorities - Comfort working with ambiguity and open-ended questions - Strong process/project management skills - Contribute to organizational initiatives in competency development, training, and organizational building activities If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.,

As a Lead Product Analyst, you will play a crucial role in our product team by driving data-led strategies and insights across various product lines. Your responsibilities will include leading analytical initiatives, providing actionable insights to influence product direction, and mentoring a team of analysts. You will collaborate closely with cross-functional stakeholders to bridge data with business and product vision, aiming to drive measurable impact. Your key responsibilities will involve strategic data analysis and reporting, where you will evaluate product performance, identify trends, and suggest improvements. You will create and maintain advanced dashboards and reports using tools like Excel, SQL, Python, BigQuery, Power BI, and Google Analytics. Defining and tracking KPIs aligned with business goals will be essential, as well as proactively identifying opportunities and risks. Additionally, you will conduct advanced market and user research to inform product strategy, analyze customer feedback, usage data, and behavioral signals to uncover user needs, and stay updated on industry trends. Collaborating with product managers, you will help define product roadmaps through data-driven insights, develop user stories, success metrics, and A/B test strategies, and guide experimentation and validation plans. In terms of project leadership and stakeholder management, you will oversee cross-functional analytics initiatives, deliver insights to product, tech, and business teams, and support decision-making throughout the product lifecycle. Ensuring documentation, visibility, and prioritization of analytics tasks will be crucial. As a team leader, you will mentor junior analysts, establish best practices for the analytics function, and promote a culture of evidence-based decision-making across the organization. To qualify for this role, you should hold a Bachelor's or Master's degree in Business, Engineering, Economics, Statistics, Computer Science, or a related field. You must have at least 5 years of experience in product analytics, with a minimum of 2 years in a lead or senior role, demonstrating success in influencing product decisions through analytics at a high-growth or product-first company. Your technical skills should include advanced proficiency in tools like Excel, SQL, Power BI/Looker Studio, Python or R, BigQuery, and GA4, along with hands-on experience in Firebase, GTM, and data visualization/BI platforms. You should possess a strong understanding of experimentation frameworks, product funnels, acquisition sources, user retention, and behavioral analytics. Furthermore, your product and analytical skills should be evident through your ability to generate insights, influence product strategy, conduct funnel analysis, cohort studies, churn and retention metrics, segmentation, and user flow mapping. Your role as a Lead Product Analyst will involve presenting impactful insights and product recommendations to senior leadership and executive stakeholders, contributing significantly to the growth and success of our products.,

The Decision Science Consultant position at Xtage offers a unique opportunity to be part of a dynamic team that drives high-impact business decisions through analytical insights. As a member of the Decision Science team, you will play a crucial role in transforming complex data into actionable strategies that fuel growth and shape the organization's direction. Your primary responsibilities will include aggregating, analyzing, and interpreting website visitor behavior data across various platforms. You will be tasked with building data visualizations and reports that provide key insights for decision-making within the organization. Experience with Adobe analytics and click-stream data will be essential for generating valuable insights and automated funnel reporting. In this role, you will also automate anomaly detection, conduct ad-hoc analysis, and utilize data science models to drive business decisions. Your ability to create informative and repeatable reports highlighting business trends and improvement opportunities will be crucial. Additionally, you will develop processes for data monitoring, validation, and optimization to enhance business outcomes. The ideal candidate for this position will have 2 to 4 years of experience in eCommerce or D2C visitor analysis, with a strong background in analyzing raw clickstream data. Proficiency in Adobe Analytics, SQL, and Python will be required to uncover user paths, engagement patterns, and conversion funnels. Experience with visualization tools such as Power BI or Tableau will be advantageous. A strong understanding of statistical concepts including EDA, Anomaly Detection, Regression, and Hypothesis Testing is preferred. The role also involves conducting cross-training sessions to introduce new tools and techniques for mining customer insights. This fully remote position requires at least 4 hours of overlap with the US team in the CST Time Zone. Salary will be based on experience and current package. Join Xtage, a data science consulting firm dedicated to solving business problems through advanced analytics, machine learning, and artificial intelligence. Be part of a team that enables data-driven decisions and wiser insights. Learn more about Xtage at: http://xtagelabs.com/,

As a Senior Data Analyst at Gibbous Technologies, a data analytics consulting firm specializing in sports business analytics and advanced business intelligence solutions, you will be responsible for leading analytics projects, mentoring junior analysts, and collaborating closely with clients to deliver tailored solutions. Your role will involve designing, executing, and delivering analytics projects from data collection to visualization, conducting deep-dive analyses to identify trends and actionable insights, and developing dashboards, reports, and data models to support decision-making. You will work with stakeholders to translate business questions into analytical problems and solutions, ensure data quality, integrity, and compliance with best practices, and collaborate with cross-functional teams to integrate analytics into business workflows. Additionally, you will mentor and guide junior analysts in technical skills and analytical approaches, leveraging your strong analytical expertise, passion for data storytelling, and experience with diverse datasets to deliver impactful insights for clients. The ideal candidate for this role will have a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field, along with 4+ years of professional experience in data analytics, preferably in consulting or business intelligence roles. Proficiency in SQL and at least one analytics-oriented programming language (Python/R), experience with data visualization tools (e.g., Power BI, Tableau, Looker), and a solid understanding of statistical analysis, hypothesis testing, and predictive modeling are required. Excellent communication and presentation skills, the ability to simplify complex findings, and proven leadership in analytics initiatives are also essential. Preferred qualifications for this role include experience in sports analytics or business analytics for enterprises, knowledge of cloud-based data platforms (Snowflake, BigQuery, AWS Redshift, etc.), and familiarity with ETL processes and data pipeline development. In return, Gibbous Technologies offers a competitive salary based on experience and expertise, the opportunity to work on diverse and impactful projects, a collaborative and innovation-driven work culture, and professional growth and learning opportunities. To apply for the Senior Data Analyst position in Nagpur at Gibbous Technologies, please send your resume and a brief cover letter to shreyas@gibbous.io with the subject line: Application Senior Data Analyst (Nagpur). Join our team and be part of a dynamic environment where you can make a significant impact through data analytics and business intelligence.,

Citi's mission is to serve as a trusted partner to clients by responsibly providing financial services that enable growth and economic progress. With over 200 years of experience, Citi helps clients meet challenges and seize opportunities. Analytics and Information Management (AIM) at Citi was established in 2003 and is located in multiple cities in India including Bengaluru, Chennai, Pune, and Mumbai. The AIM community connects and analyzes information to create actionable intelligence for business leaders, identifying revenue growth opportunities in partnership with businesses through analytic methodologies. The North America Consumer Bank Data Science and Modeling team uses big data tools and machine learning techniques to analyze millions of prospects and billions of customer transactions. The team extracts insights, identifies opportunities, builds predictive models, and designs strategies for various business problems. The Business Analytics Analyst 1 role within the Model governance area of the North America Consumer Bank team is responsible for ensuring comprehensive and regulatory-compliant documentation of financial models used in the bank. The Next Gen Analytics (NGA) team, a part of the AIM unit, focuses on detailed model governance work. The role requires attention to detail, effective collaboration with various stakeholders, a statistical mindset, strong communication skills, a sense of ownership for project delivery, and continuous process enhancement for efficiency and consistency. The Business Analytics Analyst 1 is responsible for creating, updating, and maintaining detailed documentation related to model monitoring and review processes, ensuring compliance with Citi standards and providing guidance on governance best practices. The role involves overseeing model inventory, working with large and complex data sets using tools like Python, PySpark, SQL, SAS, and R, collaborating with other teams within the organization, and ensuring quality control over deliverables. Candidates should have a Bachelor's or Master's degree in a relevant field, 1-3 years of experience in data analytics, technical skills in programming and data analysis, familiarity with model risk management and fair lending laws, and the ability to handle multiple projects simultaneously. Key requirements include hands-on experience in data analytics tools, understanding of model risk regulations, proficiency in statistical analysis and modeling techniques, capability to maintain models in production, strong communication and project management skills, and a detail-oriented and self-motivated approach. Experience in Credit Cards and Retail Banking is preferred. A Bachelor's or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, or Engineering from a reputable institute is required. The role is full-time in the Credit Cards, Retail Banking, Financial Services, Banking industry.,

You are a highly skilled and experienced Senior Tableau Developer who will be joining our growing data visualization team. Your role will involve creating compelling and insightful dashboards and visualizations to transform complex data into actionable insights for business stakeholders. Your responsibilities will include designing, developing, and maintaining interactive Tableau dashboards and visualizations, connecting to various data sources, performing data modeling and transformation, creating complex calculations, parameters, and calculated fields, developing and maintaining Tableau Server workbooks and data sources, collaborating with business stakeholders to gather requirements, selecting and implementing appropriate statistical methods and visualizations, providing training and support to end-users, staying up-to-date with the latest Tableau features and best practices, contributing to the development of data visualization standards and guidelines, performing performance tuning and optimization of Tableau dashboards, troubleshooting and resolving Tableau-related issues, and mentoring junior Tableau developers. To qualify for this role, you should have a Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field, along with 5+ years of experience developing Tableau dashboards and visualizations. You should have advanced proficiency in Tableau Desktop and Server, a strong understanding of statistical concepts and methods, experience with data warehousing concepts and relational databases, and excellent analytical and problem-solving skills. Additionally, you should have the ability to communicate complex technical and statistical concepts to non-technical audiences, strong collaboration and communication skills, and experience with other data visualization tools like Power BI and Qlik Sense. If you have Tableau certification, it will be considered a plus.,

About the Company: We are one of India's premier integrated political consulting firms specializing in building data-driven 360-degree election campaigns. Our expertise lies in providing strategic advice and implementation services that merge data-backed insights with in-depth ground intelligence to create comprehensive electoral campaigns. With a deep passion for democracy and the impact of politics on our world, we have assembled a team of exceptional individuals from prestigious institutions and diverse professional backgrounds. Together, we bring 7 years of experience in developing electoral strategies that initiate conversations, drive change, and influence the electoral and legislative landscapes of our country. Job Summary: We are currently looking for a detail-oriented and methodical Statistical Analyst/Statistician to join our analytics team. The ideal candidate will play a crucial role in collecting, analyzing, and interpreting quantitative data to facilitate strategic decision-making processes. This position involves developing statistical models, conducting simulations, and generating reports and visualizations to extract insights that inform organizational priorities. Additionally, the candidate will be expected to share data-driven insights through reporting and publications. Key Responsibilities: - Collect, clean, and prepare extensive datasets from various sources for analysis. - Utilize statistical methods and models (e.g., regression, hypothesis testing, inference building, panel, categorical, multilevel models) to analyze trends, patterns, and make forecasts. - Interpret and effectively communicate complex data findings and forecasts to non-technical stakeholders. - Create and maintain dashboards, forecasts, and ad hoc reports. - Assist in survey design and evaluation processes, including sampling, weighting, and post-stratification if applicable. - Collaborate with data engineers, subject matter experts, and decision-makers to define analysis goals. - Ensure the accuracy, integrity, and privacy of all processed data. Required/Minimum Qualifications: - Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Economics (Econometrics), or a related quantitative field. - Proficiency in Microsoft Excel, Word, and G-Suites is essential. - Proficiency in statistical software, with preference for R/SPSS. - Strong understanding of statistical concepts and modeling, including linear and logistic regression, ANOVA, Time-Series Modeling, and Bayesian methods. - Experience working with large datasets and relational databases, with consideration for both graduate and undergraduate experiences. - Excellent analytical, problem-solving, and organizational skills. - Strong communication skills, especially in translating data for non-technical audiences. Preferred Qualifications: - Demonstrated ability to manage multiple large datasets concurrently for hypothesis building and inference testing. - Academic excellence or research experience in quantitative fields like econometrics, finance, mathematics, Bayesian statistics, etc. - Experience in model building using Python, R will be advantageous. - Proficiency in query writing and data automation tasks (SQL, VBA, etc.) is a plus. - Ability to independently handle multiple projects and meet the key requirements of internal stakeholders. - Previous experience or postgraduate exposure to publishing academic research is favorable. Location: BLR - 4th Floor, VK Kalyani Commercial Complex, Opp to BDA Sanky Road, Bangalore, 560021.,

As a Data Scientist, you will be responsible for analyzing large and complex datasets to identify trends, patterns, and insights. Your main tasks will include developing and implementing machine learning models for prediction, classification, and clustering using Python libraries such as scikit-learn, TensorFlow, or PyTorch. Additionally, you will perform statistical analysis and hypothesis testing to validate findings and draw meaningful conclusions. Your role will also involve designing and implementing data visualization dashboards and reports using Python libraries like Matplotlib, Seaborn, or Plotly to effectively communicate insights. Collaboration with cross-functional teams to understand business requirements and translate them into data science solutions is a key aspect of this position. You will also be responsible for building and deploying scalable data pipelines using Python and related tools. To excel in this role, you should have proven experience as a Data Scientist or in a similar role, ideally with 2+ years of experience. Strong programming skills in Python and familiarity with relevant data science libraries such as Pandas, NumPy, and Scikit-learn are essential. A solid understanding of statistical concepts, machine learning algorithms, and data modeling techniques is required. Furthermore, experience in data visualization using Python libraries like Matplotlib, Seaborn, and Plotly is important. You should be adept at working with large datasets, performing data cleaning, preprocessing, and feature engineering. Strong problem-solving and analytical skills are also crucial for success in this role. Excellent communication and presentation abilities are necessary to effectively communicate complex data insights and findings to both technical and non-technical audiences. A Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related area is preferred. Experience with big data technologies like Spark and Hadoop, familiarity with cloud platforms such as AWS, Azure, and GCP, and knowledge of deep learning frameworks like TensorFlow and PyTorch are all valuable assets. Additionally, experience with database technologies (SQL and NoSQL) and deploying machine learning models into production will be beneficial for this role. Stay updated with the latest advancements in data science, machine learning, and Python libraries to continuously enhance your skills and knowledge.,

The role of S&C Global Network - AI - Marketing Analytics (MMM) Consultant at Accenture involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As part of the Analytics practice, you will collaborate with a global network of colleagues skilled in leading statistical tools and applications. From data analysis to actionable insights, you will provide issue-based recommendations to help clients achieve high performance. Accenture is committed to investing in your learning and growth, supporting you in expanding your tech stack and certifications. In Applied Intelligence, you will execute projects in the context of business performance improvement initiatives, emphasizing sound analytical decision-making. Responsibilities include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. The ideal candidate will have relevant experience in the domain, strong analytical and problem-solving skills, and the ability to thrive in a dynamic environment. In this role, you will be responsible for defining data requirements, cleaning and analyzing data, and developing AI/ML models. You should have at least 3 years of experience in Market Mix Modeling, proficiency in Statistical and Probabilistic methods, and hands-on experience with Python data science libraries. Additionally, you will work on developing and managing data pipelines, leveraging machine learning architectures, and deploying marketing mix models on cloud platforms. The desired candidate should have knowledge of SQL and cloud-based technologies, expertise in Market mix modeling techniques, and experience in data migration from cloud to Snowflake. Understanding of econometric/statistical modeling, machine learning algorithms, and proficiency in tools such as Excel, MS Word, and PowerPoint are essential requirements. This role offers the opportunity to work on innovative projects, grow your career, and gain leadership exposure. If you have 8 to 10 years of experience and a B.Com educational qualification, and if you possess the mentioned skills and expertise, we are looking for you to join our team at Accenture.,

Are you passionate about harnessing the power of artificial intelligence to transform decision-making under uncertainty Do you aspire to develop innovative algorithms that can offer robust and reliable recommendations for critical real-world problems If your academic ambitions lie at the intersection of symbolic AI, optimization, and statistical reasoning, this PhD position at TU Delft could be your gateway to cutting-edge research and impactful career opportunities. Strong and confident decision-making is at the core of many societal and engineering challenges today. Yet, the complexity and uncertainty inherent in real-world systems often make it difficult to ascertain which variables truly influence outcomes. This PhD project invites you to leverage advanced combinatorial and algorithmic methods to identify these critical parameters, thus enabling more robust, data-efficient, and reliable decision-making processes. Delft University of Technology (TU Delft) is one of Europe's premier technical universities, renowned for its pioneering research, high-impact innovation, and vibrant academic community. Located in the historic city of Delft, the university boasts a strong tradition in engineering, science, and design, with a global reputation for excellence. TU Delft has been at the forefront of groundbreaking advancements, from the world-famous Dutch waterworks to state-of-the-art biotech and digital technologies. As a PhD candidate at TU Delft, you will join a diverse and international research environment, collaborating with leading experts and contributing to solutions for some of society's most pressing challenges. The focus of this PhD position is on Symbolic AI and Reasoning Under Uncertainty, with a particular emphasis on sensitivity analysis for decision-making models. In contemporary applications, algorithms generate recommendations based on complex models with numerous input parameters. However, determining which of these inputs genuinely drive the outcomes is crucial for resource allocation, contingency planning, and ensuring the robustness of decisions. Traditional sensitivity analysis often relies on computationally intensive simulations, which may overlook significant variables. This project proposes a paradigm shift: employing logic-based and structural methods to formally identify critical parameters. By exploiting the structure of logic problems, the research aims to deliver formal guarantees on robustness, reduce computational costs, and improve the reliability of decision-support systems. This approach holds immense promise for fields such as engineering, policy-making, and societal infrastructure, where robust and explainable AI is essential. As a PhD candidate, you will be part of the Algorithmics section within the Software Technology (ST) department at TU Delft, collaborating closely with the Statistics section of the Delft Institute of Applied Mathematics (DIAM). The project is supervised by a distinguished team: dr. ir. Sicco Verwer (promotor), dr. Fabian Mies, and dr. Anna Latour (co-promotores). Your research will build upon and expand knowledge in modeling and solving paradigms such as Boolean Satisfiability, Constraint Programming, and Mixed-Integer (Linear) Programming. You will also develop methods for reasoning about discrete probability distributions, sampling complex spaces, and statistical analysis. The role involves collaboration with other researchers and software engineers to create practical tools for both academic and societal stakeholders. You will disseminate your findings through publications and presentations at leading conferences and journals, providing excellent opportunities for international networking and professional growth. The Algorithmics section is a dynamic, diverse environment where PhD and postdoc researchers work together on theoretical and algorithmic contributions to intelligent decision-making. The group addresses challenges including scalability, model learning for planning and verification, and the integration of stakeholder preferences into algorithmic processes. TU Delft's interdisciplinary ecosystem further enhances your research experience, with opportunities to engage in cross-faculty initiatives addressing topics such as climate change, energy transition, and artificial intelligence. Applicants should possess a Master's degree in Computer Science, Operations Research, or a related field (required by the Graduate School of TU Delft), proficiency in the English language, demonstrable knowledge of reasoning paradigms such as Boolean Satisfiability, Constraint Programming, or Mixed Integer (Linear) Programming, programming skills in languages such as Java, Python, or C++, solid understanding of statistics and probability theory, excellent critical and analytical thinking skills, a proven record of and interest in further developing research skills, including self-organization, academic writing, and a critical attitude, strong enthusiasm for state-of-the-art algorithmic and optimization techniques, especially their application to decision-making, affinity for teaching and mentoring students, and ability to work effectively in a team and take initiative. This position is ideal for candidates who are passionate about symbolic AI, optimization, statistical reasoning, and who are eager to contribute to the advancement of robust decision-making methodologies. If you are driven to make a meaningful impact on decision-making methodologies and thrive in a collaborative, interdisciplinary environment, we encourage you to apply for this PhD position at TU Delft.,

You will be part of Maruti Suzuki's Analytics Centre of Excellence (ACE) CoE team as a Data Scientist. Your responsibilities will include designing and implementing workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python. You should have demonstrable competency in Probability and Statistics, with the ability to use ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests. Experience in handling outliers, denoising data, and managing the impact of pandemic-like situations will be crucial. Additionally, you will be expected to perform Exploratory Data Analysis (EDA) of raw data, conduct feature engineering where applicable, and showcase competency in Data Visualization using the Python/R Data Science Stack. Leveraging cloud platforms for training and deploying large-scale solutions, as well as training and evaluating ML models using various machine learning and deep learning algorithms, will be part of your role. You will also need to retrain and maintain model accuracy in deployment and package & deploy large-scale models on on-premise systems using multiple approaches including docker. Taking complete ownership of the assigned project, working in Agile environments, and being well-versed with project tracking tools like JIRA or equivalent will be expected. Your competencies should include knowledge of cloud platforms (AWS, Azure, and GCP), exposure to NoSQL databases (MongoDB, Cassandra, Cosmos DB, HBase), and forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts), experience with large datasets and distributed computing (Hive/Hadoop/Spark), and transfer learning using state-of-the-art models in different spaces such as vision, NLP, and speech will be beneficial. Integration with external services and Cloud API, as well as working with data annotation approaches and tools for text, images, and videos, will also be part of your responsibilities. The ideal candidate should have a minimum of 2 years and a maximum of 8 years of work experience, along with a Bachelor of Technology (B.Tech) or equivalent educational qualification.,

Join Amgen's Mission of Serving Patients At Amgen, you will be part of something bigger, driven by our shared mission to serve patients living with serious illnesses. Since 1980, Amgen has been a pioneer in the world of biotech, focusing on four therapeutic areas: Oncology, Inflammation, General Medicine, and Rare Disease, reaching millions of patients annually. As a member of the Amgen team, you will contribute to researching, manufacturing, and delivering innovative medicines that help people live longer, fuller, and happier lives. Our award-winning culture is collaborative, innovative, and science-based. If you are passionate about challenges and the opportunities they present, you will thrive as part of the Amgen team. Join us to make a lasting impact on patients" lives and transform your career. Data Scientist (US Value & Access Insights) In this vital role at Amgen, you will develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. Your responsibilities will include creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities: - Ensuring that models are trained with the latest data and meet SLA expectations - Acting as a subject matter expert in solving development and commercial questions - Collaborating with a global cross-functional team on the AI tools roadmap - Working in technical teams on the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics - Utilizing technical skills such as hypothesis testing, machine learning, and retrieval processes for statistical and data mining techniques - Performing exploratory and targeted data analyses using descriptive statistics and other methods - Collaborating with technical teams to translate business needs into technical specifications, focusing on AI-driven automation and insights - Developing and integrating custom applications, intelligent dashboards, and automated workflows incorporating AI capabilities to enhance decision-making and efficiency What We Expect Of You Basic Qualifications: - Masters degree with 1 to 3 years of computer science, statistics, or STEM majors with at least 1 year of Information Systems experience - Bachelors degree with 3 to 5 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Diploma with 7 to 9 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Experience with analytic software tools or languages like R and Python - Strong foundation in machine learning algorithms and techniques - Experience in statistical techniques, hypothesis testing, regression analysis, clustering, and classification Preferred Qualifications: - Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow) - Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) - Outstanding analytical and problem-solving skills, ability to learn quickly, excellent communication and interpersonal skills - Experience with data engineering, pipeline development, NLP techniques for text analysis, sentiment analysis, time-series data analysis, forecasting, trend analysis, AWS, Azure, Google Cloud, Databricks platform for data analytics, and MLOps Professional Certifications: - Any AWS Developer certification (preferred) - Any Python and ML certification (preferred) Soft Skills: - Initiative to explore alternate technology and approaches to problem-solving - Skilled in breaking down problems, documenting problem statements, and estimating efforts - Excellent 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 What You Can Expect Of Us At Amgen, we support your professional and personal growth and well-being as we develop treatments to take care of others. We offer competitive benefits and a collaborative culture to support your journey every step of the way. Apply now for a career that defies imagination. Objects in your future are closer than they appear. Join us at careers.amgen.com. As an organization dedicated to improving the quality of life globally, Amgen fosters an inclusive environment of diverse, ethical, committed, and highly accomplished individuals who respect each other and live by Amgen values to advance science in serving patients. We ensure individuals with disabilities are provided reasonable accommodation throughout the job application process. Contact us to request accommodation.,

As a member of the Optum Global Analytics Team at United Health Group, you will be involved in developing advanced analytics solutions across various verticals to enhance health outcomes and drive business growth. Your work will directly impact health equity on a global scale by connecting individuals with the care, pharmacy benefits, data, and resources necessary for improved well-being. Your primary responsibilities will include designing and deploying models, ensuring responsible use of AI, detecting and mitigating bias, conducting business analysis, creating analytical findings, engaging in client communications, mentoring junior data scientists, leading knowledge sharing sessions, overseeing technical deliveries, performing quality checks, collaborating with senior team members to develop new capabilities, and continuously building and applying technical and functional skills. To excel in this role, you must possess a bachelor's degree and have at least 7 years of experience in analytics and machine learning projects within the Business Intelligence or Business Analysis space. Proficiency in analytics tools such as R, Python, SQL, Databricks, and cloud technologies is essential. Additionally, you should have a strong understanding of Predictive & Prescriptive Analytics techniques, problem-solving skills, statistics, mathematics, data technologies, data structures, Natural Language Processing, Gen-AI, Large Language Models, and excellent communication abilities. Preferred qualifications include certification in Azure Cloud (AZ-900), familiarity with Business Intelligence tools like Tableau/Power BI, and exceptional time management, communication, decision-making, and presentation skills. If you are passionate about driving impactful solutions, possess a problem-solving approach, and are committed to continuous learning and growth, we welcome you to apply for this position at our Noida, Uttar Pradesh location. Join us in making a difference in the lives of millions as we strive to advance healthcare and well-being globally through innovative analytics solutions.,

Job Posting TitleSR. DATA SCIENTIST Band/Level5-2-C Education ExperienceBachelors Degree (High School +4 years) Employment Experience5-7 years At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way. Roles & Responsibilities Key Responsibilities Design, train, and evaluate supervised & unsupervised models (regression, classification, clustering, uplift). Apply automated hyperparameter optimization (Optuna, HyperOpt) and interpretability techniques (SHAP, LIME). Perform deep exploratory data analysis (EDA) to uncover patterns & anomalies. Engineer predictive features from structured, semistructured, and unstructured data; manage feature stores (Feast). Ensure data quality through rigorous validation and automated checks. Build hierarchical, intermittent, and multiseasonal forecasts for thousands of SKUs. Implement traditional (ARIMA, ETS, Prophet) and deeplearning (RNN/LSTM, TemporalFusion Transformer) approaches. Reconcile forecasts across product/category hierarchies; quantify accuracy (MAPE, WAPE) and bias. Establish model tracking & registry (MLflow, SageMaker Model Registry). Develop CI/CD pipelines for automated retraining, validation, and deployment (Airflow, Kubeflow, GitHub Actions). Monitor data & concept drift; trigger retuning or rollback as needed. Design and analyze A/B tests, causal inference studies, and Bayesian experiments. Provide statisticallygrounded insights and recommendations to stakeholders. Translate business objectives into datadriven solutions; present findings to exec & nontech audiences. Mentor junior data scientists, review code/notebooks, and champion best practices. Desired Candidate Minimum Qualifications M.S. in Statistics (preferred) or related field such as Applied Mathematics, Computer Science, Data Science. 5+ years building and deploying ML models in production. Expertlevel proficiency in Python (Pandas, NumPy, SciPy, scikitlearn), SQL, and Git. Demonstrated success delivering largescale demandforecasting or timeseries solutions. Handson experience with MLOps tools (MLflow, Kubeflow, SageMaker, Airflow) for model tracking and automated retraining. Solid grounding in statistical inference, hypothesis testing, and experimental design. Preferred / NicetoHave Experience in supplychain, retail, or manufacturing domains with highgranularity SKU data. Familiarity with distributed data frameworks (Spark, Dask) and cloud data warehouses (BigQuery, Snowflake). Knowledge of deeplearning libraries (PyTorch, TensorFlow) and probabilistic programming (PyMC, Stan). Strong datavisualization skills (Plotly, Dash, Tableau) for storytelling and insight communication. Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

Position Overview Here at ShyftLabs, we are searching for an experienced Data Scientist who can derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation, Job Responsibilities: Research, design, and develop innovative generative AI models and applications Collaborate with cross-functional teams to identify opportunities for AI-driven solutions Train and fine-tune AI models on large datasets to achieve optimal performance Optimize AI models for deployment in production environments Stay up-to-date with the latest advancements in AI and machine learning Collaborate with data scientists and engineers to ensure data quality and accessibility Design, implement, and optimize machine learning algorithms for tasks like classification, prediction, and clustering Develop and maintain robust AI infrastructure Document technical designs, decisions, and processes, and communicate progress and results to stakeholders Work with cross-functional teams to integrate AI/ML models into production-level applications Basic Qualifications: Master's degree in a quantitative discipline or equivalent 5+ years minimum professional experience Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets, and using statistics to arrive at a recommendation Excellent verbal and written communication skills, with the ability to present information and analysis results effectively Ability to build positive relationships within ShyftLabs and with our stakeholders, and work effectively with cross-functional partners in a global company Statistics : must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models Machine Learning : must have a deep understanding of ML algorithms (i-e , deep learning, random forest, gradient boosted trees, k-means clustering, etc) and their development, validation, and evaluation Programming : experience with Python or other scripting languages and database language ( e-g , SQL) or data manipulation ( e-g , Pandas) We are proud to offer a competitive salary alongside a strong insurance package We pride ourselves on the growth of our employees, offering extensive learning and development resources, Show

Become part of our team! Team introduction Department of Data and Analytics has its hub at DTICI Bengaluru India catering to data and analytics requirements for Daimler Truck. we are 150+ strong team comprising of Data engineers, Data scientists, AI engineers and Analysts What makes the team/department special Highly energetic and young team that solves business problems that have the potential to define we build our trucks Good Communication & presentation skills. Strong Knowledge of Azure Components Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks Master in Statistics/Machine Learning/Economics/ Big Data analytics (Full -Time) Strong experience in object-oriented programming using Python & PySpark Experience developing, training, and evaluating (supervised/unsupervised) machine learning models such as linear regression, Logistic regression, k-means, time series forecasting, Hypothesis testing (ANOVA, t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN, Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection Familiar with statistical distributions, correlation analysis, descriptive statistics, ROC, F1-Score, etc. Proficiency in Python, Scikit-learn and ML libraries. Strong understanding of statistical modeling and data preprocessing. Should have had at least 2 to 3 use cases where the candidate would have gained the experience of end to end development of Data science solution and deployment Problem definition - white boarding Hypothesis building and testing and Exploratory data analysis Data engineering to curate data for model Training, testing, deployment and MLops Job Title: Data Scientist (Iterative Model Development Traditional ML) Job Summary: We are seeking a Data Scientist with expertise in building and optimizing traditional ML models, specifically within the automobile domain. The ideal candidate will have strong experience in classical ML algorithms, survival models, time series, statistical modelling, and deployment of predictive models. Experience with streaming data and telematics data solutions is highly desirable. Key Responsibilities: Work with Daimler s Businesses and Enabling Areas to support key business functions Contribute to storyboarding our results, support recommendations for an executive-level audience and produce leadership-quality deliverables Develop and optimize traditional ML models (regression, decision trees, SVM, XGBoost, etc.) with strong knowledge on Hypothesis testing. Perform feature engineering and dataset preprocessing for model training. Build scalable machine learning pipelines for real-world applications. Work on time series forecasting, anomaly detection, recommendation systems, etc. Optimize model performance using hyperparameter tuning and cross-validation. Deploy ML models into production using cloud and on-premises solutions. Collaborate with cross-functional teams to integrate ML models into business processes. Analyze and interpret telematics data to derive actionable insights. Develop solutions for streaming data processing and real-time analytics.

Agency : PivotRoots Job Description : We are seeking a Data Scientist with 2-4 years of experience to contribute to advanced analytics and predictive modelling initiatives. The ideal candidate will combine strong statistical knowledge with practical business understanding to help develop and implement models that drive customer value and business growth. Responsibilities: Implement and maintain customer analytics models including CLTV prediction, propensity modelling, and churn prediction Support the development of customer segmentation models using clustering techniques and behavioural analysis Assist in building and maintaining survival models to analyze customer lifecycle events Work with large-scale datasets using BigQuery and Snowflake Develop and validate machine learning models using Python and cloud-based ML platforms, specifically BQ ML, ModelGarden and Amazon Bedrock Help transform model insights into actionable business recommendations Collaborate with analytics and activation teams to implement model outputs Present analyses to stakeholders in clear, actionable formats Qualifications: Bachelors or master s degree in Statistics, Mathematics, Computer Science, or related quantitative field 2-4 years experience in applied data science, preferably in marketing/retail Experience in developing and implementing machine learning models Strong understanding of statistical concepts and experimental design Ability to communicate technical concepts to non-technical audiences Familiarity with agile development methodologies Technical Skills: Advanced proficiency in: SQL and data warehouses (BigQuery, Snowflake) Python for statistical modeling Machine learning frameworks (scikit-learn, TensorFlow) Statistical analysis and hypothesis testing Data visualization tools (Matplotlib, Seaborn) Version control systems (Git) Understanding of Google Cloud Function and Cloud Run Experience with: Customer lifetime value modeling RFM analysis and customer segmentation Survival analysis and hazard modeling A/B testing and causal inference Feature engineering and selection Model validation and monitoring Cloud computing platforms (GCP/AWS/Azure) Key Projects & Deliverables: Support development and maintenance of CLTV models Contribute to customer segmentation models incorporating behavioral and transactional data Implement survival models to predict customer churn Support the development of attribution models for marketing effectiveness Help develop recommendation engines for personalized customer experiences Assist in creating automated reporting and monitoring systems Soft Skills Strong analytical and problem-solving abilities Good communication and presentation skills Business acumen Collaborative team player Strong organizational skills Ability to translate business problems into analytical solutions Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual s ability to perform their job. Contract Type : Permanent Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual s ability to perform their job.

Agency : PivotRoots Job Description : We are seeking a Data Scientist with 2-4 years of experience to contribute to advanced analytics and predictive modelling initiatives. The ideal candidate will combine strong statistical knowledge with practical business understanding to help develop and implement models that drive customer value and business growth. Responsibilities: Implement and maintain customer analytics models including CLTV prediction, propensity modelling, and churn prediction Support the development of customer segmentation models using clustering techniques and behavioural analysis Assist in building and maintaining survival models to analyze customer lifecycle events Work with large-scale datasets using BigQuery and Snowflake Develop and validate machine learning models using Python and cloud-based ML platforms, specifically BQ ML, ModelGarden and Amazon Bedrock Help transform model insights into actionable business recommendations Collaborate with analytics and activation teams to implement model outputs Present analyses to stakeholders in clear, actionable formats Qualifications: Bachelors or master s degree in Statistics, Mathematics, Computer Science, or related quantitative field 2-4 years experience in applied data science, preferably in marketing/retail Experience in developing and implementing machine learning models Strong understanding of statistical concepts and experimental design Ability to communicate technical concepts to non-technical audiences Familiarity with agile development methodologies Technical Skills: Advanced proficiency in: SQL and data warehouses (BigQuery, Snowflake) Python for statistical modeling Machine learning frameworks (scikit-learn, TensorFlow) Statistical analysis and hypothesis testing Data visualization tools (Matplotlib, Seaborn) Version control systems (Git) Understanding of Google Cloud Function and Cloud Run Experience with: Customer lifetime value modeling RFM analysis and customer segmentation Survival analysis and hazard modeling A/B testing and causal inference Feature engineering and selection Model validation and monitoring Cloud computing platforms (GCP/AWS/Azure) Key Projects & Deliverables: Support development and maintenance of CLTV models Contribute to customer segmentation models incorporating behavioral and transactional data Implement survival models to predict customer churn Support the development of attribution models for marketing effectiveness Help develop recommendation engines for personalized customer experiences Assist in creating automated reporting and monitoring systems Soft Skills Strong analytical and problem-solving abilities Good communication and presentation skills Business acumen Collaborative team player Strong organizational skills Ability to translate business problems into analytical solutions Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual s ability to perform their job. Contract Type : Permanent

About the Role We are looking for a highly motivated and skilled Senior Data Scientist or Data Scientist to join our team. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, with hands-on experience in Python and industry-standard libraries. You will be responsible for deriving actionable insights, building predictive models, and effectively communicating findings through data storytelling. Key Responsibilities Develop, implement, and optimize machine learning models for predictive analytics and decision-making. Work with structured and unstructured data to extract meaningful insights and patterns. Utilize Python and standard data science libraries such as NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, and Matplotlib for data analysis and model building. Design and develop data pipelines for efficient processing and analysis. Conduct exploratory data analysis (EDA) to identify trends and anomalies. Collaborate with cross-functional teams to integrate data-driven solutions into business strategies. Use data visualization and storytelling techniques to communicate complex findings to non-technical stakeholders. Stay updated with the latest advancements in machine learning and AI technologies. Required Qualifications 5+ years or 8+ years of hands-on experience in data science and machine learning. Strong proficiency in Python and relevant data science packages. Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch. Knowledge of SQL and database management for data extraction and manipulation. Expertise in statistical analysis, hypothesis testing, and feature engineering. Understanding of Marketing Mix Modeling is a plus. Experience in data visualization tools such as Matplotlib, Seaborn, or Plotly package Strong problem-solving skills and ability to work with large datasets. Excellent communication skills with a knack for storytelling using data. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of big data technologies like Hadoop, Spark, or Databricks. Exposure to NLP, computer vision, or deep learning techniques. Understanding of A/B testing and experimental design. Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

About The Role : In Scope of Position based Promotions (INTERNAL only) Job Title- IB Business Information Records Officer (BIRO) Location- Mumbai, India Corporate Title - VP 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. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance 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 How well support you

About The Role : Job TitleQuant Analyst, AVP LocationMumbai, India 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. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance 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 How well support you

You should have the ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python. Demonstrating competency in Probability and Statistics, you should be capable of utilizing ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests. Your experience should include dealing with outliers, denoising data, and handling the impact of pandemic like situations. Performing Exploratory Data Analysis (EDA) of raw data and feature engineering wherever applicable is crucial. You should possess demonstrable competency in Data Visualization using the Python/R Data Science Stack. Leveraging cloud platforms for training and deploying large-scale solutions is essential. Being able to train and evaluate ML models using various machine learning and deep learning algorithms is a must. You should also be skilled in retraining and maintaining model accuracy in deployment. Knowledge of cloud platforms such as AWS, Azure, and GCP is required. Exposure to NoSQL databases (MongoDB, Cassandra, Cosmos DB, HBase) is preferred. An understanding of forecasting experience in products like SAP, Oracle, Power BI, and Qlik is beneficial. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts) is expected. Having experience with large datasets and distributed computing (Hive/Hadoop/Spark) is advantageous. Knowledge of transfer learning using state-of-the-art models in different spaces like vision, NLP, and speech is a plus. Integration with external services and Cloud API is also a part of the role. Working with data annotation approaches and tools for text, images, and videos is desirable. You should be able to package and deploy large-scale models on on-premise systems using multiple approaches, including Docker. Taking complete ownership of the assigned project is necessary. Experience of working in Agile environments and being well-versed with JIRA or equivalent project tracking tools is expected.,

About Us InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. InMobi Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand, engage, and acquire consumers effectively through data-driven media solutions. Learn more at advertising.inmobi.com . Glance is a consumer technology company that operates disruptive digital platforms, including Glance, Roposo, and Nostra. Glance s smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at glance.com . Born in India, InMobi maintains a large presence in Bangalore and San Mateo, CA, and has operations in New York, Singapore, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London, and Dubai. To learn more, visit inmobi.com . Who are we and what do we do? InMobi is the world s largest independent mobile advertising network. With a presence across five continents, we offer advertisers, publishers, and developers a truly global solution for mobile advertising. Our network currently reaches over 1.64 billion devices in 165+ countries , delivering more than 200 billion mobile ad impressions each month . We are headquartered in Bangalore, with 17 offices worldwide including London, New York, Paris, San Francisco, Shanghai, Beijing, Seoul, Singapore, Tokyo, and Dubai. Learn more at: www.inmobi.com What s the InMobi family like? Consistently featured among the Great Places to Work in India since 2017 , our culture is our true north enabling us to think big, tackle complex challenges, and grow with every opportunity. InMobians are passionate, creative, fun-loving, and driven by ownership and results. We invite you to free yourself, dream big, and pursue your passion . About the Role Analyst, People Analytics We are looking for a detail-oriented and curious People Analytics Analyst to join our growing People Team. This role will play a key part in using data to drive people decisions across the organization. You will work closely with stakeholders across the People function to deliver insights, build reports, and shape our analytics capability. The ideal candidate will be fluent in Microsoft Excel and comfortable working with data related to hiring, attrition, workforce movement, and more. They should be eager to grow into Power BI for scalable dashboarding and proactive in exploring insights that matter. Key Responsibilities Build and maintain recurring and ad-hoc reports on people metrics (e.g., attrition, hiring, tenure, workforce changes). Act as the primary point of contact for reporting and insights across the People Team. Translate business questions into structured data analyses and dashboards. Maintain data quality, consistency, and hygiene across systems and files. Conduct exploratory analysis and hypothesis testing to uncover trends and root causes. Transition reports from Excel to Power BI (support provided). Own calculated fields, data dictionaries, and change logs. Identify opportunities to streamline, automate, and improve analytics processes. Required Skills & Experience Advanced proficiency in Microsoft Excel (formulas, pivots, structuring, cleaning). Exposure to Power BI or similar BI tools (with willingness to learn quickly). 2 5 years of experience in data analysis, reporting, or HR analytics (internships included). Strong analytical thinking and attention to detail. Ability to clearly communicate insights and actions. Comfort working with confidential HR data and maintaining discretion. Proactive, self-driven, and collaborative approach. Nice to Have Familiarity with HR systems (e.g., SuccessFactors, Greenhouse, Darwinbox ) Experience working with HR/People team stakeholders Exposure to SQL, Python, or R (a plus, not mandatory) Why Join Us? You ll be at the center of our journey to become a data-intelligent People function shaping how we leverage data to inform talent decisions across the business. This is a unique opportunity to strengthen your technical and functional skills , work on real-world HR challenges, and contribute to building the future of people analytics at InMobi. The InMobi Culture At InMobi, culture isn t a buzzword; its an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values thinking big, being passionate, showing accountability, and taking ownership with freedom guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace. Visit https: / / www.inmobi.com / company / careers to better understand our benefits, values, and more!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. About the Role We are looking for a highly motivated and skilled Senior Data Scientist or Data Scientist to join our team. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, with hands-on experience in Python and industry-standard libraries. You will be responsible for deriving actionable insights, building predictive models, and effectively communicating findings through data storytelling. Key Responsibilities Develop, implement, and optimize machine learning models for predictive analytics and decision-making. Work with structured and unstructured data to extract meaningful insights and patterns. Utilize Python and standard data science libraries such as NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, and Matplotlib for data analysis and model building. Design and develop data pipelines for efficient processing and analysis. Conduct exploratory data analysis (EDA) to identify trends and anomalies. Collaborate with cross-functional teams to integrate data-driven solutions into business strategies. Use data visualization and storytelling techniques to communicate complex findings to non-technical stakeholders. Stay updated with the latest advancements in machine learning and AI technologies. Required Qualifications 5+ years or 8+ years of hands-on experience in data science and machine learning. Strong proficiency in Python and relevant data science packages. Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch. Knowledge of SQL and database management for data extraction and manipulation. Expertise in statistical analysis, hypothesis testing, and feature engineering. Understanding of Marketing Mix Modeling is a plus. Experience in data visualization tools such as Matplotlib, Seaborn, or Plotly package Strong problem-solving skills and ability to work with large datasets. Excellent communication skills with a knack for storytelling using data. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of big data technologies like Hadoop, Spark, or Databricks. Exposure to NLP, computer vision, or deep learning techniques. Understanding of A/B testing and experimental design. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for business leaders. As a C12 (Individual Contributor) AVP within the Retail Bank Fraud Analytics team in Citi AIM, your primary focus will be on analyzing transaction data to understand fraud patterns and develop strategies to mitigate fraud losses while minimizing customer impact. You will monitor strategy performance, collaborate with the implementation team, and proactively suggest fraud loss mitigation measures using new data sources and advanced analytics techniques. You will be expected to perform hands-on analysis on a regular and ad hoc basis, extract various data sources beyond transactions, generate fraud risk insights, recommend business solutions, and optimize existing rules for improved performance. Your role will require a holistic understanding of retail banking products, best practices, and the integration of analytical thinking with business knowledge to develop client-centric solutions. Ideally, you should have experience in analytics within the BFSI domain, proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling. Proficiency in decision tree models (CHAID/CART), Logistic Regression, exploratory data analysis, SAS, SQL, Hive, Impala, and Excel is essential. Knowledge of Python, prior experience in Fraud Analytics, and familiarity with Tableau or other data visualization tools are desirable. You should also have experience in stakeholder management across functions and regions, translating data into consumer insights, and effectively communicating findings to business partners and senior leaders. Your role will involve delivering clear presentations, managing projects, supporting regulatory/audit activities, and collaborating with stakeholders to drive targeting and segmentation strategies. You should possess excellent communication skills, project and process management capabilities, and the ability to work both independently and within a team environment. Qualifications: - 8+ years of analytics experience, with prior experience in Fraud analytics preferred - Advanced analytical and business strategy skills - Effective communication skills, including the ability to present to business partners and leaders - Project and process management skills - Excellent written and verbal communication skills - Experience in financial services analytics - Strong organizational skills and ability to manage multiple projects simultaneously Education: - Bachelors/University degree or equivalent experience; Masters degree preferred If you require a reasonable accommodation due to a disability for using our search tools or applying for a career opportunity, please review the Accessibility at Citi information. For more details, view Citi's EEO Policy Statement and the Know Your Rights poster.,