263 Hypothesis Testing Jobs - Page 6

As a Senior Data Analyst at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Principle Engineer - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Foster a collaborative and supportive work environment, promoting open communication and teamwork. Demonstrate strong leadership skills, with the ability to inspire and motivate team members to perform at their best. Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be able to identify problems, generate effective solutions, and troubleshoot issues that may arise while working on complex projects. Must Display Adaptability to changing circumstances, new technology, and shifting priorities. Nice-to-have skills Qualifications Qualifications 11-12 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Business Overview The team works on data collected from different business domains, such as, Rewards, Health, Assessments, HR, McLagan, Radford, and continue to explore avenues for the creation of new analytical products that can become future revenue streams. The team uses advanced applications along with statistical/data-science know-how to do hypothesis testing, prescriptive analysis and predictive analytics on key business/client questions using tools like Python, SQL, Databricks. Insights are reported using visualization tools like Tableau, Power BI, Power Point, or VBA-powered Excel dashboards. The team also uses its skills to support consulting studies/products serviced under the HCS People and Performance Analytics banner. Work Description/Role Summary: A colleague as part of the Rewards Innovation Team may get unique opportunities to work for Aon Clients worldwide leaders, and contribute towards Aon Strategy. At the same time, utilizing own skills set, one can touch multiple lives across the globe, bring impactful solutions in multiple domains and transform business. It is a unique opportunity to be part of a small team and get visibility amongst Aon Leadership of both onshore and offshore. Nevertheless, the opportunity will open doors with work on the advanced analytics (such as, NLP (text analytics), Machine Learning, etc.) Role overview: A colleague must be adaptive of acquiring new skills within a short time period based on the business needs. One must have analytical mindset to perform data analysis and data visualization on large data sets. Skills of Problem solving and automation using coding will help a colleague to explore new opportunities, bring efficiency and innovative solutions. The ability to present to senior leaders and create client ready reports are needed. Colleague should have the knowledge of creating SQL queries and perform other database operations (such as, creating views and procedures). Skills Knowledge Requirements: Basic knowledge of VBA, Tableau/Power BI or Python are must. Intermediate knowledge of Statistics, SQL, and MS applications are required. Knowledge of any programming language is preferred. Good communication skills, Logical reasoning, Analytical Abilities, Data Interpretation Mandatory Skills Needs to be comfortable working in an un-structured environment since this role requires working with exploratory projects which do not have clear-cut mode-of-operation or defined start end objectives. Need a never-give-up attitude since the research with require experimenting with multiple failed approaches until the right successful approach is discovered. High Data Acumen with good eye for detail and keen sense to seek out patterns. Logical reasoning ability is required with a drive for problem solving. Ability to understand complex requirements and relay complex thoughts across teams is a must. 2563945

Function/Craft: Analytics Position Title: Senior Associate Marketing Sciences Position Overview We are seeking a skilled and driven professional to join our Analytics Team. The ideal candidate will be analytically minded, hands-on, and possess a strong academic background, an entrepreneurial spirit, and a genuine interest in data analytics. This role requires the ability to leverage analytics to present information in a clear and impactful manner that supports fact-based decision-making. This role is based in Pune but will be supporting teams around the world. Responsibilities Accurately assess the effectiveness and performance of paid advertising campaigns by collecting, aggregating, processing, and analyzing large datasets from multiple sources, including proprietary agency analytics platforms. Pull data from multiple sources using automated methods; clean and validate data using standard processes and perform regular data quality checks. Support data processes such as ETL (extract, transform, load); write scripts to automate or process data with guidance, leveraging databases to store and harmonize large datasets for analysis. Build analytical models (e.g., marketing mix, brand awareness, marketing attribution ) and perform analysis with minimal guidance, using standard tools and applications with the ability to investigate non standard results. Load models into optimization platforms and run simulations and optimizations as directed. Create and update presentations, analytical dashboards, and simulation tools to support clients and internal teams. Coordinate with internal and external clients for projects and workflows to ensure high-quality deliverables and timely execution with good degree of independence. Participate in client meetings and present analytical insights to internal teams and stakeholders, communicating complex findings clearly and confidently. Foster a mindset of continuous improvement by identifying opportunities to enhance processes and increase efficiency. Handle ad hoc assignments within the scope of the role; apply technical knowledge and judgment to solve problems in straightforward situations. Document processes and establish best practices. Support multiple projects with complex scope and tight deadlines. Establish relationships with clients and stakeholders and train associates or new joiners in the organizations. Qualification - Required Skills Bachelors degree in Statistics, Mathematics, Econometrics, Quantitative Finance, Actuarial Science, Engineering, or a related field from a reputable university 3 to 5 years of experience in analytics, with a focus building statistical models or predictive modelling Strong proficiency with Microsoft Office, particularly Powerpoint and Excel, including its advanced features Fluency in data management, statistical and optimization languages, ideally one of these: R/SQL/PYTHON Strong knowledge of Statistics and Econometrics (e.g., R-square, MAPE, Hypothesis Testing) Excellent verbal and written English communication skills, with the ability to present data-driven insights effectively and simplify complex ideas to peers and senior leaders within agencies and with clients Proven track record of collaborating across teams to deliver actionable insights and enhance client deliverables. Excellent problem-solving skills, attention to detail and strong time management and organizational skills and open-minded with desire to self-develop and face new challenges Qualifications - Desired Skills Ability to thrive and enthusiasm to work in a fast-paced, ambiguous, and dynamic environment, with the capability to manage multiple priorities under pressure. Experience in the marketing domain and media measurement, marketing mix and ROI measurement, simulation or optimization Experience with industry tools such as Syndicated Consumer (Simmons, MRI), Syndicated Sales (Nielsen Polk, JD Powers), Media Consumption (Nielsen, Arbitron, Comscore), Paid Media Monitoring (Kantar, AdViews) and Social Media Monitoring (NetBase, Sysomos) Prior project management experience is a plus

Job Area: Information Technology Group, Information Technology Group > IT Data Engineer General Summary: Skills Required: 1. Good hands-on experience on SQL Focus on Writing efficient queries. Solving real-world case studies. Practicing advanced topics like window functions and CTEs. 2.Writing Python Basics Handle data cleaning with Pandas and NumPY Experience in handling automation. 3. BI Tool Proficiency- Tableau/Power BI/Splunk Present actionable insights. Experience in building dashboard, creating data models. visually engaging reports and alerts. Data refresh schedules. 4. Understanding on Mean, median, mode, and standard deviation. Hypothesis testing and confidence intervals. Basics of probability will give you an edge. NoteAny Certification would be added advantage. Minimum Qualifications: 4+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field. OR 6+ years of IT-related work experience without a Bachelors degree. 2+ years of work experience with programming (e.g., Java, Python). 1+ year of work experience with SQL or NoSQL Databases. 1+ year of work experience with Data Structures and algorithms. Bachelors / Masters or equivalent degree in computer engineering or in equivalent stream Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

JR: R00229254 Experience: 11-15 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. ---- Job Title - S&C Global Network - AI - Healthcare Analytics - Senior Manager Management Level: 6-Senior Manager Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/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. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. What you would do in this role Lead proposals, and business development efforts and coordinate with other colleagues to cross-sell/ up-sell Life Sciences offerings to existing as well as potential clients. Lead client discussions, developing new industry Point of View (PoV), re-usable assets (tools) Collaborate closely with cross-functional teams including Data engineering, technology, and business stakeholders to identify opportunities for leveraging data to drive business solutions. Lead and manage teams to deliver transformative and innovative client projects. Guide teams on analytical and AI methods and approaches Manage client relationships to foster trust, deliver value, and build the Accenture brand Drive consulting practice innovation and thought leadership in your area of specialization Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven experience in cross-sell/ up-sell Leverage ones hands-on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, and digital marketing data. Experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum, SHS, Specialty Pharmacy, PSP, etc. Experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Excellent analytical and problem-solving skills, with a data-driven mindset. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 11-15 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Set up, manage, and optimize Facebook Ad campaigns Monitor and analyze website and campaign data via Google Analytics (GA4) Make data-backed recommendations for improving lead generation and engagement Track conversions, user journeys,report attri

At PwC, the focus is on leveraging data to drive insights and make informed business decisions in the field of data and analytics. Utilizing advanced analytics techniques is key to helping clients optimize their operations and achieve strategic goals. As a member of the data analysis team at PwC, you will be tasked with utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently looking for a highly skilled and experienced GenAI Data Scientist to join the team at the Senior Associate level. In this role, you will be instrumental in developing and implementing machine learning models and algorithms for GenAI projects. The ideal candidate should possess a strong background in data science, particularly focusing on GenAI technologies, and have a solid understanding of statistical analysis, machine learning, data visualization, and application programming. As a candidate with 4+ years of hands-on experience, your responsibilities will include collaborating with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies, developing and implementing machine learning models and algorithms for GenAI projects, performing data cleaning, preprocessing, and feature engineering, collaborating with data engineers for efficient data processing and integration into machine learning pipelines, validating and evaluating model performance, developing and deploying production-ready machine learning applications and solutions, utilizing object-oriented programming skills, employing Kubernetes for container orchestration and deployment, designing and building chatbots using GenAI technologies, communicating findings and insights to stakeholders through data visualizations, reports, and presentations, and staying up-to-date with the latest advancements in GenAI technologies. Requirements for this role include 3-5 years of relevant technical/technology experience with a focus on GenAI projects, strong programming skills in languages like Python, R, or Scala, proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn, experience with data preprocessing, feature engineering, and data wrangling techniques, a solid understanding of statistical analysis, hypothesis testing, and experimental design, familiarity with cloud computing platforms like AWS, Azure, or Google Cloud, knowledge of data visualization tools and techniques, strong problem-solving and analytical skills, excellent communication and collaboration abilities, and the ability to work in a fast-paced and dynamic environment. Preferred qualifications include experience with object-oriented programming languages like Java, C++, or C#, developing and deploying machine learning applications in production environments, understanding of data privacy and compliance regulations, and relevant certifications in data science or GenAI technologies. Nice-to-have skills encompass experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock, familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc., and experience in chatbot design and development. Candidates with a professional and educational background in any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA are encouraged to apply for this position.,

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