163 Hypothesis Testing Jobs - Page 3

As a Data Scientist at our Mohali location, you will be responsible for designing, developing, and evaluating both supervised and unsupervised machine learning models. Your role will involve collaborating with data and product teams to create end-to-end ML solutions and analyzing large datasets using Python and SQL to extract valuable insights. You will continuously enhance model performance using real-world data and maintain detailed documentation of models, experiments, and processes. To excel in this role, you should possess a Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. Strong proficiency in Python programming (scikit-learn, TensorFlow/PyTorch, pandas, NumPy) and SQL is essential. A solid understanding of core ML techniques such as classification, regression, clustering, and dimensionality reduction is required. Experience with NLP/LLM libraries like Hugging Face, spaCy, NLTK, or OpenAI APIs is a plus. Preferred qualifications include familiarity with vector databases, embeddings, and fine-tuning or prompt engineering for LLMs, as well as experience with cloud services (AWS, GCP, or Azure). This is a full-time, permanent position with benefits including paid sick time and Provident Fund. The work schedule involves day and morning shifts, and proficiency in English is necessary. The job location requires in-person work in Chandigarh, Chandigarh, and candidates with 3 years of experience in Data Science are preferred. If you are ready to contribute your expertise to building and optimizing machine learning models for real-world applications, while working with a collaborative team, we encourage you to apply for this exciting opportunity.,

Do you want to be a part of a team that is revolutionizing the global economy Join the dynamic Data & Decision Science (D&DS) team at C2FO, a leading online platform for working capital with a presence in over 160 countries and serving more than $10.5 trillion in annual sales. Based in Kansas City, C2FO has a global workforce of over 500 employees and operates in various regions including Europe, India, Asia Pacific, and Australia. At C2FO, we prioritize the quality of our technical solutions and are committed to building innovative solutions to address business challenges effectively. We also place a strong emphasis on maintaining a healthy work-life balance and fostering a culture of continuous learning. Our team encourages participation in hackathons, book clubs, and supports a remote-first work environment, ensuring that your voice is heard and your contributions make a real impact. The Data & Decision Science team at C2FO is a multifaceted and collaborative group consisting of Data Engineering, Data Science & Analytics, Data Operations, and Business Intelligence pillars. With a presence in India and the US, our team plays a crucial role in driving C2FO's global growth by developing scalable data solutions and promoting data-driven innovation. As a Senior Data Scientist at C2FO, you will have the opportunity to work on a diverse set of challenges ranging from traditional machine learning applications like forecasting and credit scoring to cutting-edge uses of large language models (LLMs) for customer engagement and retention. You will operate in a fast-paced environment that values initiative, ownership, and curiosity. Key Responsibilities: - Develop machine learning models and scalable data solutions for critical business problems such as dynamic discounting, customer retention, and credit scoring - Design and iterate on minimum viable products (MVPs) to address real business pain points - Collaborate across teams to translate complex business challenges into data science problems - Ensure data validation and quality by working closely with Data Engineering and Data Governance teams - Conduct in-depth analyses to derive actionable insights from complex datasets - Foster a culture of learning, innovation, and experimentation Qualifications: - 5+ years of hands-on experience in data science or applied machine learning - Proficiency in mathematics, statistics, and machine learning concepts - Experience deploying machine learning models in production environments - Strong skills in Python, SQL, Pandas, and relevant data manipulation tools - Familiarity with libraries such as Scikit-learn, XGBoost, PyTorch, etc. - Experience in hypothesis testing and experimentation frameworks - Strong problem-solving, communication, and stakeholder management abilities - Bonus: Background in fintech or financial services At C2FO, we prioritize the well-being of our employees and offer a comprehensive benefits package, flexible work options, volunteer time off, and more. We are committed to fostering diversity and inclusion, empowering our team members to bring their authentic selves to work and contribute to our shared success. Join us in creating a workplace that reflects the diversity of our communities and clients worldwide.,

As a Quant Analyst at AVP level in Mumbai, India, you will be a part of the Strategic Analytics team at Deutsche Bank. The team plays a crucial role in developing quantitative analytics, modelling, pricing, and risk management solutions for various units of the bank, including Investment Bank, Corporate Bank, and Risk and Control functions. Your primary responsibility will be to develop complex processes, frameworks, and risk analysis models, as well as enhance existing frameworks to measure market risks across the bank. You will work on converting business problems into manageable statements, gather information from stakeholders, design automated solutions, and develop databases and applications for implementation. Your key skills should include at least 4 years of experience in Python/C++ programming, a good understanding of OOPs programming concepts, experience in pulling data from various market sources, and strong communication and analytical skills. A strong educational background in Engineering/Science, Economics, Statistics, or related discipline is preferred, along with knowledge of financial instruments, pricing models, and risk models. Deutsche Bank offers a range of benefits including a best-in-class leave policy, gender-neutral parental leaves, childcare assistance benefit, sponsorship for industry certifications, employee assistance program, comprehensive insurance coverage, and health screenings. You will also receive training, coaching, and support to excel in your career within a culture of continuous learning and collaboration. As part of the Strategic Analytics team, you will ensure the consistency in analytics and technology platforms to prevent arbitrage within the bank and optimize resource allocation. Your role will involve constant awareness of key market risks, communication with senior management and stakeholders, and remediation of regulatory findings. If you are someone who can work independently, handle pressure, and continuously advance your skills, this role offers a rewarding opportunity to contribute to the growth and success of Deutsche Bank. Apply now and be a part of a culture that values responsibility, commercial thinking, initiative, and collaboration.,

About the Role We are looking for a Program Manager/Associate Program Manager at Leap. You will work on charters which can have an orbit-change impact on Leaps trajectory. The charter for this role will include: Working on transformation projects for the company. You will do multiple Strategize - Build - Operate - Transfer projects in a year. Augmenting the business unit leaders in solving key problems. You will act as a consultant to help multiple business lines and plug any gaps needed for the business to succeed. Work on open ended projects such as market research, opportunity sizing, user research, identifying M&A opportunities. Do whatever else is critical for the business to win. Ideal Persona would: Have 2 -5 years of total experience. Someone experienced in a high growth startup, ideally exposed to the 0-1 and 1-100 journeys. Have experience with 0 -> 1 phase of company building (rapid experimentation, hypothesis testing, MVP, user research). Have experience with 1->100 phases of company building (process design, hiring, team management, scaling complexities). Have great stakeholder management skills and be extremely influential. Be a ninja at building alignment by influence (not by authority). Have strong first principle thinking, ability to navigate from ambiguity to clarity, should ask the right questions and get to answers fast. Be well networked and know how to learn fast from the right people by asking the right questions.

As an Industry & Functional AI Decision Science Consultant within the Accenture Strategy & Consulting Global Network - Data & AI practice, you will have the opportunity to work on high-visibility projects with esteemed Pharma clients worldwide. You will collaborate with leaders in strategy, industry experts, and business intelligence professionals to shape innovative solutions leveraging emerging technologies. Your role will involve supporting the delivery of consulting projects, developing assets and methodologies, and working on a variety of projects such as Data Modeling, Data Engineering, Data Visualization, and Data Science. Additionally, you will be expected to acquire new skills that are applicable across different industry groups, support strategies and operating models, and make presentations to clients when necessary. We are seeking individuals with a Bachelor's or Master's degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or a related quantitative field. The ideal candidate will have proven experience working on Life Sciences, Pharma, or Healthcare projects, with a solid understanding of Pharma datasets including commercial, clinical, Real World Evidence (RWE), and Electronic Medical Records (EMR). Proficiency in Statistical Models, Machine Learning, hypothesis testing, multivariate statistical analysis, and optimization is essential, along with hands-on experience in handling datasets like Komodo, RAVE, IQVIA, Truven, and Optum. Strong programming skills in languages such as R, Python, SQL, and Spark are required, as well as experience with cloud platforms like AWS, Azure, or Google Cloud for deploying language models. Familiarity with Data Visualization tools like Tableau, Power BI, Qlikview, or Spotfire is advantageous. In this role, you must possess excellent analytical and problem-solving skills, a data-driven mindset, proficiency in Excel, MS Word, PowerPoint, and strong communication, interpersonal, and presentation skills. Your ability to solve complex business problems, deliver client satisfaction, and build points of view on industry trends will be crucial to your success in this position. Join us in a culture committed to accelerating equality for all and engage in boundaryless collaboration across the organization.,

Design, develop, and maintain scalable, efficient, and reliable systems to support GenAI and machine learning-based applications and use cases Lead the development of data pipelines, architectures, and tools to support data-intensive projects, ensuring high performance, security, and compliance Collaborate with other stakeholders to integrate AI and ML models into production-ready systems Work closely with non-backend expert counterparts, such as data scientists and ML engineers, to ensure seamless integration of AI and ML models into backend systems Ensure high-quality code, following best practices, and adhering to industry standards and company guidelines Hard Requirements: Senior backend engineer with a proven track record of owning the backend portion of projects Experience collaborating with product, project, and domain team members Strong understanding of data pipelines, architectures, and tools Proficiency in Python (ability to read, write and debug Python code with minimal guidance) Mandatory Skills: Machine Learning: experience with machine learning frameworks, such as scikit-learn, TensorFlow, or PyTorch Python: proficiency in Python programming, with experience working with libraries and frameworks, such as NumPy, pandas, and Flask Natural Language Processing: experience with NLP techniques, such as text processing, sentiment analysis, and topic modeling Deep Learning: experience with deep learning frameworks, such as TensorFlow, or PyTorch Data Science: experience working with data science tools Backend: experience with backend development, including design, development, and deployment of scalable and modular systems Artificial Intelligence: experience with AI concepts, including computer vision, robotics, and expert systems Pattern Recognition: experience with pattern recognition techniques, such as clustering, classification, and regression Statistical Modeling: experience with statistical modeling, including hypothesis testing, confidence intervals.

At PwC, as a member of the data and analytics team, your primary focus will be on harnessing data to uncover insights and drive strategic decision-making for clients. Through the use of advanced analytics techniques, you will assist clients in optimizing their operations and achieving their business objectives. In this role, you will be responsible for utilizing your expertise in data manipulation, visualization, and statistical modeling to tackle complex business challenges through data analysis. PwC US - Acceleration Center is currently looking for a skilled GenAI Data Scientist to join our team at the Senior Associate level. As a GenAI Data Scientist, you will be instrumental in the development and implementation of machine learning models and algorithms for our GenAI projects. The ideal candidate should possess a strong background in data science, particularly focusing on GenAI technologies, and demonstrate proficiency in statistical analysis, machine learning, data visualization, and application programming. With a minimum of 4 years of hands-on experience, the successful candidate will have the following responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Implement Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Keep abreast of the latest advancements in GenAI technologies and propose innovative solutions to enhance data science processes. Requirements for this role include: - 3-5 years of relevant technical/technology experience, with a specific focus on GenAI projects. - Proficiency in programming languages such as Python, R, or Scala. - Strong familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, or scikit-learn. - Experience in data preprocessing, feature engineering, and data wrangling techniques. - Solid grasp of statistical analysis, hypothesis testing, and experimental design. - Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud. - Proficiency in data visualization tools and techniques. - Excellent problem-solving and analytical skills. - Strong communication and collaboration abilities. - Capability to thrive in a fast-paced and dynamic work environment. Preferred qualifications include: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience in developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. Nice to have skills: - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM-backed agent frameworks like Autogen, Langchain, Semantic Kernel, etc. - Proficiency in chatbot design and development. Professional and educational background: - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA.,

As a Data Scientist at our Mohali location, you will be an integral part of our team, dedicated to building and optimizing machine learning models for real-world applications. Your focus will range from classical approaches to advanced neural networks, working with large datasets to uncover insights and develop scalable data products. Your primary responsibilities will include designing, developing, and evaluating both supervised and unsupervised machine learning models. You will collaborate closely with data and product teams to deliver comprehensive ML solutions. Utilizing Python and SQL, you will analyze extensive datasets to generate actionable insights and continuously enhance model performance using real-world data. Moreover, maintaining detailed documentation of models, experiments, and processes will be essential to your role. To excel in this position, you should hold a Bachelors's or Masters's degree in Computer Science, Data Science, Statistics, or a related field. Proficiency in Python programming (scikit-learn, TensorFlow/PyTorch, pandas, NumPy, etc.) and SQL for data manipulation is crucial. A solid understanding of core ML techniques such as classification, regression, clustering, and dimensionality reduction is required. Additionally, experience with NLP/LLM libraries like Hugging Face, spaCy, NLTK, or OpenAI APIs, along with a strong foundation in statistics, probability, and hypothesis testing, will be beneficial. Preferred qualifications include familiarity with vector databases, embeddings, fine-tuning, or prompt engineering for LLMs. Experience with cloud services like AWS, GCP, or Azure is a plus. This is a full-time, permanent position offering benefits such as paid sick time and Provident Fund. The work schedule is during the day shift and morning shift. Candidates must be willing to commute or relocate to Chandigarh, Chandigarh, before starting work. A minimum of 3 years of experience as a Data Scientist or in data science is required, along with proficiency in English. The work location is in person at Chandigarh, Chandigarh.,

The ideal candidate for the role of People Analytics professional should have a strong background in transforming data into actionable insights to drive evidence-based HR decision-making. You will be responsible for designing, developing, and managing advanced dashboards and data visualizations using tools such as Tableau, Power BI, and other modern BI platforms. Building strong partnerships with key stakeholders across HR and the business is essential to deeply understand their challenges and translate their needs into actionable data solutions. In this role, you will need to develop and implement statistical models and machine learning solutions for HR analytics, while managing end-to-end data workflows including extraction, transformation, and loading (ETL). You will be required to design and deliver regular and ad-hoc reports on key HR metrics, ensuring data accuracy through thorough testing and quality checks. The successful candidate should have a Bachelor's degree in a related field, with a minimum of 5 years of experience in analytics, including specialization in people analytics and HR data analysis. Strong proficiency in RStudio/Python, SQL, data visualization tools such as Power BI or Tableau, machine learning, statistical analysis, and cloud platforms is required. Hands-on experience working with Oracle Cloud HCM data structures and reporting tools is highly desirable. You should bring strong problem-solving skills, effective communication abilities to convey data insights through compelling storytelling, and experience managing multiple projects independently in fast-paced, deadline-driven environments. An entrepreneurial mindset and leadership experience are key to successfully leading high-visibility analytics projects and driving collaboration across teams and departments. As a member of the Global People Analytics team, you will collaborate with key stakeholders within Talent Management, Talent Acquisition, Total Rewards, HR Services, and HR Information Systems to drive data-driven decision-making across the organization. This role offers an exciting opportunity to shape the future of people analytics, leverage advanced technologies, and contribute to high-impact, strategic HR initiatives.,

The Product Analytics Manager will be responsible for driving data-informed decisions to optimize product performance, enhance customer experiences, and shape the strategic direction of the product. You will manage analytics frameworks, collaborate across teams, and leverage data to unlock growth opportunities in a highly dynamic environment. Your key responsibilities will include: - Analyzing customer behavior, product usage, and market trends to identify opportunities for innovation and improvement. - Developing actionable insights and recommendations to influence product roadmaps and strategic priorities. - Monitoring key performance indicators (KPIs) to assess product health and measure the impact of enhancements. You will also be involved in: - Designing, executing, and evaluating A/B tests to validate hypotheses and optimize product features. - Implementing data-driven strategies to improve customer satisfaction, retention, and lifetime value. Collaboration with product managers, engineers, designers, marketers, and compliance teams will be crucial to align analytics with business objectives. Additionally, you will be expected to present findings to executive stakeholders using compelling data storytelling techniques. As the Product Analytics Manager, you will be responsible for building scalable data pipelines and dashboards for real-time reporting and performance tracking. Ensuring streamlined processes for data collection, reporting, and visualization using tools like Tableau, Mixpanel, or similar platforms will also be part of your role. Required Skills & Expertise: Technical Skills: - Proficiency in SQL, Python/R for data manipulation and statistical analysis. - Experience with ETL pipelines (e.g., Airflow) and large datasets. - Advanced knowledge of visualization tools such as Tableau. - Familiarity with analytics platforms (e.g., Google Analytics or Mixpanel). Analytical Acumen: - Strong understanding of hypothesis testing, experimentation design, and predictive modeling. - Ability to define KPIs that align with business goals and measure product success effectively. Leadership & Communication: - Proven ability to manage cross-functional teams and influence stakeholders at all levels. - Experience mentoring junior analysts or managing direct reports is preferred. Qualifications: - Bachelor's degree in Computer Science, Statistics, Operations Research, or a related field; advanced degrees are a plus. - 6+ years of experience in product analytics or business analytics roles within FinTech or high-growth tech companies. - 2+ years managing analytical teams or mentoring junior professionals.,

Role Overview: As a Professor at International Center for Education and Research (ICER), VIT Bangalore , you play a key role in academic instruction, curriculum development, research project guidance and student mentorship. Your expertise in Database Management Systems, Web Application Development, Machine Learning, Data Mining, Deep Learning, Big Data Analytics, Probability and Statistics, and R Programming contributes to fostering an innovative and research-driven learning environment. You are also instrumental in guiding students in the 1+1 masters overseas program , helping them prepare for international academic opportunities. Key Responsibilities: Teaching & Curriculum Development Deliver lectures and hands-on sessions for Probability and Statistics, Database Management Systems, Machine Learning, Data Mining, Deep Learning , Big Data Analytics, and R Programming , incorporating Minitab, MYSQL, scikit-learn, TensorFlow, Hadoop, and PySpark . Design, update, and refine course syllabi to align with industry trends, research advancements, and partner university requirement. Develop and evaluate assignments, projects, and examinations for postgraduate students. Research Innovation Lead and collaborate on research projects with a focus on Artificial Intelligence, Data Science and Business Analytics Guide research projects and mentor Post Graduate Programme student Academic Leadership & Student Mentorship Serve as a mentor for students in the 1+1 masters overseas program , guiding them on research, coursework, and study-abroad applications . Provide Guidance and Exposure to students aspiring for higher education and research roles. Develop innovative assessment strategies that encourage critical thinking and problem-solving. Skills & Tools: Programming & Software Development: Back-end Development: Node.js, Express.js, PHP, Django, Flask Front-end Development: HTML, CSS, JavaScript, React.js, Bootstrap, Tailwind CSS Databases: MySQL, PostgreSQL, MongoDB, Firebase Cloud & Deployment: AWS, Google Cloud, Docker, Kubernetes Data Science & AI: Explainable AI, Deep Learning, Computer Vision, Ensemble Learning Python (scikit-learn, TensorFlow, PyTorch), R (ggplot, dplyr) Data visualization libraries (Matplotlib, Seaborn, D3.js) Big Data & Statistical Analysis: Hadoop, PySpark, Regression Modeling, Hypothesis Testing, Bayesian Statistics Minitab, SQL query optimization, data pipeline development Statistical Analysis: Minitab, Bayesian Statistics, Regression Modeling, Hypothesis Testing. Teaching & Mentorship: Curriculum design, research supervision, collaboration.

Design, develop, and deploy end-to-end machine learning and deep learning models for classification, regression, prediction, and computer vision tasks using TensorFlow, PyTorch, and scikit-learn. - Build and fine-tune transformer-based LLMs (GPT, BERT, LLaMA, etc.) for tasks such as text summarization, chatbots, sentiment analysis, semantic search, and retrieval-augmented generation (RAG) systems. - Apply prompt engineering, chain-of-thought prompting, and synthetic data generation to enhance the performance of generative AI applications. - Collaborate with data engineers to build scalable data pipelines using Spark, Kafka, Hadoop, and Airflow. - Implement model training pipelines and automate hyperparameter tuning, model evaluation, and performance tracking. - Deploy ML models in production environments using AWS, Azure, or GCP, leveraging Docker, Kubernetes, and CI/CD workflows. - Analyze complex datasets, perform statistical analyses, and conduct hypothesis testing, time-series forecasting, and feature engineering. - Visualize and present findings using Tableau, Power BI, or Plotly, creating narratives that influence product and business strategy. - Stay current with trends in LLMs, GenAI, responsible AI, and contribute to thought leadership within and outside the organization.

The role of S&C Global Network - AI - Merchandising Analytics Consultant at Accenture involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. You will provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. The ideal candidate must have relevant experience in the required domain, strong analytical, problem-solving, and communication skills, and the ability to work in a fast-paced, dynamic environment. Key technical skills required for this role include knowledge of SQL, R & Python language, proficiency in at least one cloud-based technology (Azure, AWS, GCP), building price/discount elasticity models, and conducting non-linear optimization. Additionally, familiarity with state space & mixed-effect modeling techniques, AI capability migration experience, econometric/statistical modeling, and proficiency in tools such as Excel, MS Word, and PowerPoint are essential. Strong client communication skills are also important for this role. As part of the Analytics practice at Accenture, you will have the opportunity to work on innovative projects, experience career growth, and gain leadership exposure. You will join a network of smart and driven colleagues experienced in leading statistical tools and methods. The company will invest in your learning and growth, supporting you in expanding your tech stack and certifications. In this role, you will define data requirements for Data Driven Merchandizing capability, clean, analyze, and interpret data, and carry out data quality analysis. Experience in Data Driven Merchandizing, pricing/promotions/assortment optimization capabilities, and proficiency in statistical timeseries models are preferred. You will work on developing AI/ML models in Azure ML tech stack, managing data pipelines, and collaborating with the team to create insights presentations and client-ready decks. Mentoring and guiding junior resources, strong communication skills, logical thinking, and task management knowledge are also key aspects of this role. Overall, this role offers the opportunity to work on cutting-edge projects, enhance your analytical and technical skills, and contribute to business performance improvement initiatives at Accenture.,

You will play a crucial role in developing and maintaining descriptive and predictive analytics models and tools that support Lowe's pricing strategy. Working closely with the Pricing team, you will translate pricing goals and objectives into data and analytics requirements. By leveraging a combination of open source and commercial data science tools, you will gather and wrangle data to provide data-driven insights, trends, and identify anomalies. Utilizing suitable statistical and machine learning techniques, you will address relevant questions and offer retail recommendations. Collaboration with product and business teams is essential to drive continuous improvement, incorporating feedback throughout development to maintain a best-in-class position in the pricing space. Your responsibilities will include translating pricing strategy and business objectives into analytics requirements, implementing processes for data collection and preparation, conducting data validation and outlier detection, designing and implementing statistical and machine learning models, ensuring model accuracy, and applying machine learning outcomes to business use cases. Educating the pricing team on interpreting and utilizing machine learning model results, designing and executing experiments to evaluate price changes, performing advanced statistical analyses, and managing analytics projects are key aspects of this role. You will also lead the exploration of new analytical techniques, collaborate with various teams, stay updated on industry developments, and mentor junior analysts to foster skill development and team growth. With 6-12 years of relevant experience, you should hold a Bachelor's or Master's degree in Engineering, Business Analytics, Data Science, Statistics, Economics, or Mathematics. Your skill set should include expertise in advanced quantitative analysis, statistical modeling, and machine learning models, along with experience in regression, hypothesis testing, time series analysis, predictive modeling, and other analytical concepts. Proficiency in SQL, Python, R, SAS, enterprise-level databases, data visualization tools, and cloud platforms is required. Technical expertise in Alteryx and Knime is desired for this role.,

Strong background in SQL, Python, R, Tableau/ Google analytics/Power BI Exp working on metrics such as retention, churn, engagement and marketing analytics. Excellent visualization skills Mail us- hr@a1selectors.com/ 9315618446

As an AI Decision Science Consultant at Accenture Strategy & Consulting, specifically in the Global Network - Data & AI practice under the CMT Software & Platforms team, you will play a pivotal role in helping clients leverage analytics to achieve high performance and make better decisions. In collaboration with onsite counterparts, you will drive the development and delivery of Data & AI solutions for SaaS and PaaS clients. You will have the opportunity to work with a diverse team of talented professionals experienced in leading statistical tools and methods. From gathering business requirements to developing and testing AI algorithms tailored to address specific business challenges, you will be involved in the end-to-end process of delivering AI solutions. Your role will also include monitoring project progress, managing risks, and fostering positive client relationships by ensuring alignment between project deliverables and client expectations. In this role, you will mentor and guide a team of AI professionals, promoting a culture of collaboration, innovation, and excellence. Continuous learning and professional development will be supported by Accenture, enabling you to enhance your skills and certifications in SaaS & PaaS technologies. As part of the Data & AI practice, you will be at the forefront of leveraging AI technologies such as Generative AI frameworks and statistical models to drive business performance improvement initiatives. To excel in this role, you should possess a bachelor's or master's degree in computer science, engineering, data science, or a related field. With at least 5 years of experience in working on AI projects, you should have hands-on exposure to AI technologies, statistical packages, and machine learning techniques. Proficiency in programming languages such as R, Python, Java, SQL, and experience in working with cloud platforms like AWS, Azure, or Google Cloud will be crucial. Your strong analytical, problem-solving, and project management skills will be essential in navigating complex issues and delivering successful outcomes. Excellent communication and interpersonal skills will enable you to engage effectively with clients and internal stakeholders, while your ability to work with large datasets and present insights will drive informed decision-making. Join us at Accenture Strategy & Consulting and be part of a dynamic team dedicated to helping clients unlock new business opportunities through Data & AI solutions.,

Strong background in SQL, Python, R, Tableau/ Google analytics/Power BI Exp working on metrics such as retention, churn, engagement and marketing analytics. Excellent visualization skills Mail us- info@a1selectors.com

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 2 years of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: 3 years of experience in abuse analytics, Trust and Safety, policy, cybersecurity, or related fields. Experience using statistical analysis and hypothesis testing. Experience analyzing machine learning (ML) models performance or working on LLMs. Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment. Excellent written and verbal communication skills to clearly communicate technical concepts with multiple cross-regional and cross-functional stakeholders. About the job Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. As a Trust and Safety, Engineering analyst you will be the driving initiatives that protects Google Video, Image and User generated content experiences from misinformation, abuse, and harmful content. At Google we work hard to earn our users trust every day. Trust & Safety is Google s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google s products, protecting our users, advertisers, and publishers across the globe in over 40 languages. Responsibilities Lead projects building critical trust protections for Google Video and Image, used globally, collaborating with cross-functional teams to develop safety solutions. Perform data analyses to identify and address product vulnerabilities, continuously improving systems against evolving abuse. Embrace LLMs to enhance abuse and misinformation fighting ability. Review into trust issues specific to images, videos and creator content surfaces, providing insights and data-driven analysis to inform decision-making for the product. Use technical judgement to drive project delivery, continuously refine our enforcement workflows, leveraging automation including LLMs and your problem-solving skills to streamline processes and maximize efficiency Be prepared to review and assess content that may be controversial, offensive, or sensitive, demonstrating resilience and sound judgment. You might need to perform on-call responsibilities on a rotating basis including weekends as needed.

Get to Know the Team GrabFin Analytics team supports the Fintech product, business and risk orgs. Product Analyst are part of one or more tech families - Fin Core, Fin Experience, Fin Identity, Payments, Financial Services (Invest, Insure & Lending) . This role is parked in the Payments tech family We care about understanding how users experience the Product and partner with Business, Product, Design, and Tech to focus on the right outcomes and feature set We remain necessary to product development from understanding user journeys with UX designers to hypothesis development, right through to post rollout optimization. Get to Know the Role Use data to understand user needs - be the de-facto Voice of the Customer (users, driver-partners, merchants, agents, etc) for all GFG teams. Leverage data for further insights to improve decision-making at Grab by developing dashboards, maintaining pipelines, holding metrics reviews and coming up with insight decks/experiments Champion data-driven decision-making and culture in Grab Financial GroupPartner with Product Managers, Business Owners, UX Designers,Risk and Engineering to design and deliver analytical projects that help support the GFG Product roadmap Provide thought leadership and generate data-driven hypotheses to solve key Product and Business problems. You will be reporting to "Senior Analytics Manager". This is a Hybrid role based in Bangalore (3 days Work from Office every week). The Critical Tasks You Will Perform Support business critical dashboard and pipeline maintenance for day-to-day data driven decisions. Design and analyze A/B tests and multivariate experiments for UI/UX, layout, contextualization, algorithms, and APIs. Mine clickstream and transactional data to derive insights on user behavior and drive GFG product metrics. Own instrumentation for feature releases within assigned tech families in GFG. Generate segmented customer and merchant insights to refine product iterations and improvements. Deliver reliable, on-time outputs and build scalable, automated self-serve solutions for stakeholders. Read more Skills you need What Essential Skills You Will Need Bachelors/Masters in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields. 8 years of experience in Analytics, BI, or Data Science, preferably in Internet/E-Commerce with large, high-velocity data. Strong SQL experience querying large relational databases. Translate data insights into relevant recommendations for non-technical and senior team members. Proficiency in Python, Databricks, Tableau/Power BI, and expertise in A/B testing, hypothesis testing, and DoE principles. Read more What we offer About Grab and Our Workplace Grab is Southeast Asias leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, weve got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Read more Life at Grab Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and comprehensive Medical Insurance. With GrabFlex, create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones through Parental and Birthday leave , and give back to your communities through Love-all-Serve-all (LASA) volunteering leave We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges. Balancing personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours What We Stand For at Grab We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. Read more

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 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: Masters 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).

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Marketing Analytics Title :- Data Science Manager Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with MMM experts, and Accenture will support you in growing your own tech stack and certifications In Applied intelligence you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 5+ years of advanced experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with non linear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy , Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Azure/ Snowflake Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models. Working knowledge of MMM optimizer and its intricacies Awareness of MMM application development and backend engine integration will be preferred Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide a team of 10-15 people under him/her Manage client relationships and expectations, and communicate insights and recommendations effectively Capability building and thought leadership Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress Qualification Who we are looking for 5+ years of work experience in consulting/analytics with reputed organization is desirable. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL and Python language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc. Strong client and team management and planning of large-scale projects with risk assessment Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Marketing analytics Title :- Analyst/Consultant Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for Data Driven Merchandizing capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Knowledge of price/discount elasticity estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Develop and Manage Data within different layers of Snowflake environment. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of Price/Promo optimization Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide junior resources. Should have strong communication skills. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Qualification Who we are looking for Analyst with 2+ years & Consultant with 4+ years of work experience in consulting/analytics with a reputed organization. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of state space & mixed-effect modeling techniques and optimization algorithms and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science) Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Significant experience of model risk management, governance and/or model development / validation. Significant experience of local regulators and regulations. Experience of managing senior stakeholder and external communications. Proven ability to develop strong networks with key stakeholders at all points in a matrix structure, creating an ability to execute task at hand with minimum conflict. Providing expert advice, robust challenge and managing risk and controls Excellent written and oral communication skills & Strong attention to detail. Preferred Coding languages: SAS, SQL, R, Python. Classical statistical techniques: Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline. Effective verbal and written communication skills.

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. Brief about the Team & Fractal: Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual story-telling. Experience : 4 to 8 years Mandatory skills for an SME Content Development Proactive in continuous learning Prior experience at L&D , content development, conducting workshops, teaching technical sessions Mandatory technical skills for Data Science SME Programming in Python with a strong hands-on experience Hands-on experience in Data Analytics Statistical Analysis: Descriptive and Inferential Statistics, Probability Distributions, Hypothesis Testing, Statistical Tests like Z Test, Chi-Square Test, t -test etc. Data Visualization using Python: Univariate and Bivariate Analysis. Strong skills in interpretation and drawing the business insights from the plots Data Preprocessing Techniques, Feature Engineering using PCA, LDA etc. Machine Learning: Supervised and unsupervised algorithms Advanced Machine Learning: Bagging and Boosting Techniques Time Series Analysis: ARIMA, SARIMA, Holt-Winters model etc. Neural Networks: ANN, CNN, Transfer Learning, Pre-trained Models, RNN, LSTM Natural Language Processing: Text Processing NLP using Deep neural networks: BERT Models, Transformers, Encoders and Decoders GenAI: LLMs, Prompt Engineering Techniques, Building RAG Models, LangChain, LangGraph, LlamaIndex, Agentic AI Value-add: BI tools like PowerBI Data Engineering with Azure Cloud Services 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!

Select with space bar to view the full contents of the job information. Senior Manager - Multimodal AI Research Job Details | Dolby Laboratories, Inc. Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: Senior Manager - Multimodal AI Research Join the leader in entertainment innovation and help us 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. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. This is an opportunity to play a key role in Dolbys new R&D Center in Bangalore as a Senior Research Manager in our Advanced Technology Group " ATG ", the research and technology arm of Dolby Labs. With multiple competencies that innovate on technologies in audio, video, AR/VR, gaming, music, broadcast and user-generated content, areas of expertise related to computer science and electrical engineering, such as 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 our research. What you ll do: As a Senior Research Manager within Dolby ATG research, you will focus on three key areas of expertise: State-of the art, cutting edge, hands-on research: As a researcher, you will invent and develop the next generation of AI based multimodal image, audio, and speech technologies. With an in-depth understanding of the latest AI technologies and a good understanding of audio/video technologies, you will explore the applications of AI to the delivery, analysis, and creation of multimedia technologies including video and audio enhancement, analysis, classification, and separation. You will create technologies for the next generation of Dolby s offerings. Managing, nurturing, and grooming top research talent: You will lead and mentor a group of AI researchers working in the application of AI to multimodal analysis, processing, playback, and enhancement technologies. You will work with your team as a coach and mentor. You are passionate about developing junior, highly talented staff into researchers that work fully independently in a corporate environment. Contribute to developing a dynamic, flexible, transparent, results-oriented and innovative working atmosphere. Technology strategy and direction setting: You will define and lead research initiatives that leverage 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. Jointly with Dolby s world-class global research teams, you will set directions, identify projects, and build the next wave of AI based technologies driving Dolby s cloud and licensing business. You work with ATG technology leaders to co-define projects and assign your staff to global R&D initiatives led by other technology initiative leads. Work jointly with upper management, lead resource and work allocation. You will also work with Dolby s Business Groups (BG) to bring the research to life in many products, working closely with product managers, program managers, and BG engineering teams worldwide. Education and desired experience Ph.D. plus 5-10 years of corporate research experience with a degree in Physics, Electrical Engineering, Mathematics, Computer Science with a strong focus on AI. You are an absolute top expert in AI with a deep and thorough theoretical understanding of the latest state-of the art AI technologies. You have a detailed understanding of all main network architectures, deployment modes, data augmentation and preparation, and theoretical performance analysis of model architectures. Knowledge of NLP and/or multi-modal architectures is highly desired. You have a good understanding of Diffusion, autoregressive, or other generative models. Self-supervised, contrastive learning, auto-encoders. Audio, image, or text applications Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc. Multimodal architectures and algorithms. You have a track record of successfully applying AI technologies to multimodal problems including the combination of audio and video technologies. You have deep knowledge of GPU/CPU implementations, algorithm validation and testing, implementation of ML/AI algorithms. Strong track of inventing, developing and productizing novel AI based technologies in an industrial research environment. Strong publication record , with publications in major machine learning conferences (e.g. NeurIPS, ICLR, ICML, etc.). Strong background in statistical signal processing, decision theory, greedy algorithms, Bayesian modelling, random algorithms, time series, hypothesis testing, classification, clustering, hypothesis testing and multilinear regression analysis. Experience with audio and video processing is a plus. Highly skilled in C/C++, Python, TensorFlow or PyTorch. managing, guiding and mentoring younger researchers. Team-oriented work ethic and interest to work in cross-continental teams. Excellent communication, collaboration, and presentation skills in English. All official communication regarding employment opportunities at Dolby will come from an official dolby.com email address. We will never request payment as part of the hiring process. If you receive a suspicious message, please verify its authenticity before responding