8 Statistical Testing Jobs

As a Data Science and AI / ML professional at LTIMindtree, you will play a crucial role in leveraging digital technologies to drive innovation and growth for our clients. With over 6 years of experience in the field, you will be expected to have a deep understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Your expertise in data frameworks like Hadoop, business intelligence tools like Tableau, and Cloud native skills will be essential in delivering superior business outcomes. Key Responsibilities: - Utilize your knowledge of SQL and Python, with familiarity in Scala, Java, or C++ as an asset, to develop innovative AI solutions - Apply your analytical mind and strong math skills in statistics and algebra to solve complex business challenges - Work with common data science toolkits such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy, etc., with expertise in at least one being highly desirable - Leverage your experience in NLP, NLG, and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc., to drive transformative projects - Communicate effectively and present your findings with great clarity, thriving in a fast-paced team environment - Utilize AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR, etc., to scale your solutions - Apply your expertise in NoSQL databases such as MongoDB, Cassandra, HBase, Vector databases to handle large datasets effectively - Demonstrate a good understanding of applied statistics skills like distributions, statistical testing, regression, etc., to derive valuable insights for the business Qualifications Required: - More than 6 years of experience in Data Science and AI / ML domain - Excellent understanding of machine learning techniques and algorithms - Experience using business intelligence tools and data frameworks - Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset - Strong math skills (e.g., statistics, algebra) - Experience with common data science toolkits - Great communication and presentation skills - Experience with AIML and Big Data technologies - Experience with NoSQL databases Please note that the mentioned qualifications, skills, and experiences are mandatory for the role at LTIMindtree.,

As a Manager - Data Scientist at Inizio, you will be leading and managing a team of Data Analysts and/or Data Scientists to tackle intriguing analytical challenges for our clients. Your role will be pivotal in crafting the core deliverables of analytics projects through the application of coding and modeling skills. Collaborating with the US Data Manager or Principal and project case team, you will engage in big data analytics, involving activities such as executing analyses, synthesizing key findings, and providing actionable recommendations to clients. Your responsibilities will include overseeing analytical workstreams effectively, driving standardization, and productization of core analytical project types. Furthermore, you will play a crucial role in coaching junior Data Analysts and Data Scientists within your team on project execution and management. In this dynamic work environment at Inizio, we emphasize a team-based approach that is centered on client satisfaction and impactful results. We have the privilege of serving numerous industry leaders, including the top 10 global biopharmaceutical companies. Our projects encompass a wide array of areas such as portfolio prioritization, market assessment, product pricing strategies, and more, combining quantitative analytics with qualitative fact-finding to guide strategic decision-making. The ideal candidate for the Manager - Data Scientist position is expected to be highly intelligent, self-motivated, and possess a strong work ethic along with excellent team skills. Previous experience in a hybrid on/offshore model, proven analytical capabilities, problem-solving skills, and team management experience are essential. A working knowledge of the pharmaceutical or biotechnology industry is also preferred. Requirements for this role include: - 5+ years of experience as a Data Scientist (Manager) in top-tier consulting firms or within the Pharmaceutical or Biotechnology industries - Proficiency in processing and manipulating large data using SQL, Python/R/SAS, and Excel (Power Query, VBA) - Experience in statistical testing, machine learning models, cloud infrastructure usage for analysis, and data visualization tools - Ability to manage analytical work streams on multiple large-scale projects simultaneously and contribute substantively to project design and development - This role does not entail technical IT responsibilities At Inizio, we offer ample opportunities for professional growth, with a track record of promoting talent from within the organization to management positions. Our company values collaboration, excellence, ingenuity, grit, and diversity, fostering a culture of belonging and authenticity across all levels. Join us at Inizio, a leading scientific and strategic consulting partner within the global life science community, where you can contribute to making confident decisions and bringing life-changing innovations to clinicians and patients. Our diverse team and bespoke approach have enabled us to deliver unparalleled depth across therapeutic areas, geographic markets, and technology platforms, maximizing the impact of client innovations. If you are excited about the role of a Manager - Data Scientist at Inizio but do not meet every job requirement, we encourage you to apply anyway. We are dedicated to building a diverse, inclusive, and authentic workplace and believe that you may be the right fit for this role or other opportunities within our organization.,

About the Team Our Data Science team is the Avengers to Meesho's S.H.I.E.L.D ?????. And why not We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We've barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Lead Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.???? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait - there's more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland You tell us ?? About the Role Love deep data Does innovative-thinking describe you Then you may be our next Lead Data Scientist. In this role you'll be the Dumbledore to our team of wizards - our junior data scientists. You will be responsible for transforming scattered pieces of information into valuable data that can be used to achieve goals effectively. You will extract and mine critical bits of information and drive insightful discussions that result in app innovations. What you will do Own and deliver solutions across multiple charters by formulating well-scoped problem statements and driving them to execution with measurable impact Mentor a team of data scientists (DS2s and DS3s), helping them with project planning, execution, and on-call issue resolution Design and optimize key user journeys (e.g., Reseller Experience, Search, Fraud Systems) by identifying user intents and behavioral patterns from large-scale data Collaborate with machine learning engineers and big data teams to build scalable ML pipelines and improve inference performance Continuously track and improve model performance using state-of-the-art (SOTA) techniques and libraries Lead experimental design for usability improvements and user growth, leveraging statistical rigor Contribute to system-level thinking by enhancing internal tools, frameworks, and libraries to improve team efficiency and code quality Partner with engineering to ensure data reliability, compliance with security/PII guidelines, and integration of models into production systems Proactively explore new areas of opportunity through research, data mining, and academic collaboration, including publishing and attending top-tier conferences Communicate findings, plans, and results clearly with DS, product, and tech stakeholders, and create technical documentation consumable by both DS and engineering teams Conduct research collaborations with premier colleges and universities Attend conferences and publish research papers What you will need A Bachelor's degree in Computer Science, Data Science, or a related field a Master's is a plus 6-8 years of experience in data science with a strong track record of building and deploying ML solutions at scale Deep understanding of core ML techniques - supervised, unsupervised, and semi-supervised learning - along with strong foundations in statistics and linear algebra Exposure to deep learning concepts and architectures (e.g., CNNs, RNNs, Transformers) and their practical applications Proficiency in Python and SQL, with experience in building data pipelines and analytical workflows Hands-on experience with large-scale data processing using Apache Spark, Hadoop/Hive, or cloud platforms such as GCP Strong programming fundamentals and experience writing clean, maintainable, and production-ready code Excellent analytical and problem-solving skills - the ability to extract actionable insights from messy and high-volume data Solid grasp of statistical testing, hypothesis validation, and common pitfalls in experimental design Experience designing and interpreting A/B tests, including uplift measurement and segmentation Ability to work closely with product and engineering teams to translate business goals into scalable ML or data solutions Bonus points for: Experience with reinforcement learning or sequence modeling techniques Contributions to ML libraries, internal tools, or research publications About us Welcome to Meesho, where every story begins with a spark of inspiration and a dash of entrepreneurial spirit. We're not just a platform we're your partner in turning dreams into realities. Curious about life at Meesho Explore our Glassdoor - our people have a lot to say and they've helped us become a loved workplace in India. Our Mission Democratising internet commerce for everyone - Meesho (Meri Shop) started with a single idea in mind: to be an e-commerce destination for Indian consumers and to enable small businesses to succeed online. We provide our sellers with benefits such as zero commission and affordable shipping solutions in the market. Today, sellers nationwide are growing their businesses by tapping into Meesho's large and diverse customer base, state-of-the-art tech infrastructure, and pan-India logistics network through trusted third-party partners. Affordable, relatable merchandise that mirrors local markets has helped us connect with internet users and serve customers across urban, semi-urban, and rural India. Our unique business model and continuous innovation have established us as a part of India's e-commerce ecosystem. Culture and Total Rewards Our focus is on cultivating a dynamic workplace characterized by high impact and performance excellence. We prioritize a people-centric culture, dedicated to hiring and developing exceptional talent. Total rewards at Meesho comprise a comprehensive set of elements - monetary, non-monetary, tangible, and intangible. Our 9 guiding principles, or Mantras, are the backbone of how we operate, influencing everything from recognition and evaluation to growth discussions. Daily rituals and processes like Problem First Mindset, Listen or Die, our Internal Mobility Program, Talent Reviews, and Continuous Performance Management embody these principles. We offer competitive compensation - both cash and equity-based - tailored to job roles, individual experience, and skill, along with employee-centric benefits and a supportive work environment. Our holistic wellness program, MeeCare, includes benefits across physical, mental, financial, and social wellness. This includes extensive medical insurance for employees and their families, wellness initiatives like telehealth, wellness events, and fitness-related perks. To support work-life balance, we offer generous leave policies, parental support, retirement benefits, and learning and development assistance. Through personalized recognition, gratitude for stretched work, and engaging activities, we promote employee delight at the workplace. Additional benefits such as salary advance support, relocation assistance, and flexible benefit plans further enrich the Meesho experience. Know more about Meesho here :

You should have at least 2 years of experience in model validation, implementation, or risk analytics, preferably within the banking or credit card industry. Your responsibilities will include performing independent validation of models using techniques such as stress testing, back-testing, and sensitivity analysis, XGBoost to evaluate the accuracy, reliability, and stability of models. A strong understanding of statistical and machine learning concepts is required, including regression, classification, clustering, and neural networks. You should also have experience with statistical testing, hypothesis testing, and data validation techniques. Proficiency in Python, SQL, data analysis, and model implementation is essential for this role. Excellent written and verbal communication skills are necessary to effectively present technical findings to non-technical stakeholders. It would be advantageous to have regulatory understanding, such as Basel, OCC, and Federal Reserve guidelines. Ideally, you should have a Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science, Finance, or a related field. Advanced degrees are preferred for this position.,

Company Description At Niogod, we specialize in transforming global hiring by streamlining access to top Indian tech talent. Our focus on efficiency, compliance, and scale ensures clients meet their ideal candidates within 72 hours. We offer rapid hiring solutions for data engineers and cloud analysts and provide flexible engagement models such as contracting, dedicated teams, and managed services. Trusted by over 50 companies, we reduce administrative overhead, provide real-time support, and offer a no-risk, 14-day money-back guarantee. Our vision includes expanding operations in Berlin, Amsterdam, and Stockholm by 2026 and into new sectors and markets by 2027. Role Description This is a full-time hybrid role for an Econometrician located in Bengaluru, with some work from home acceptable. The Econometrician will be responsible for developing econometric models, analyzing data, conducting statistical tests, preparing reports, and providing insights for decision-making. They will also collaborate with cross-functional teams to support business objectives and communicate findings to stakeholders. Qualifications Experience in econometric modeling, data analysis, and statistical testing Strong proficiency in statistical software such as R, SAS, or STATA Excellent analytical and problem-solving skills Ability to interpret complex data and present insights clearly Strong communication and collaboration skills Bachelor&aposs or Master&aposs degree in Economics, Statistics, or a related field Experience in the tech industry is a plus Ability to work independently and in a team environment Show more Show less

As a Math Analyst at Gaming Laboratories International (GLI) located in Sector 144, Noida, Uttar Pradesh 201301, you will play a crucial role in the gaming industry. With over 36 years of experience, GLI is at the forefront of casino gaming technology and regulation, offering stability and global leadership to both clients and employees worldwide. Your main responsibilities will revolve around testing and math analysis, which includes writing programs and conducting analyses to calculate mathematical features of games, manipulating data files for testing, interpreting statistical testing results, and ensuring compliance with jurisdictional requirements. Additionally, you will be tasked with reviewing and documenting others" work, providing constructive feedback, and summarizing project reports. To excel in this role, you must possess a Bachelor's degree in mathematics, Statistics, Computer Science, or a related field. Alternatively, an Associate degree in the mentioned disciplines or equivalent experience will be considered. Proficiency in Probability, Statistics, and Combinatorics is essential, as well as knowledge of object-oriented programming languages like C++ and Microsoft Excel. Strong communication skills, attention to detail, and the ability to manage multiple projects and deadlines are also required. Furthermore, you will collaborate with external clients and internal team members, contributing to the overall success of the Math Department. GLI values employee development and offers competitive salaries, benefits, and opportunities for growth within the organization. Please note that obtaining a gaming license in one or more gaming jurisdictions may be required for this position. GLI is an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace where employees can reach their full potential.,

As the Lead Data Scientist at Meesho, you will be a key member of the Data Science team, playing a crucial role in solving complex challenges and building intelligent systems for millions of users across various product categories. Your responsibilities will include navigating uncharted territories, discovering new solutions, and leading the team in solving unique customer problems in a rapidly evolving market. Your typical day will involve tasks such as fraud detection, inventory optimization, and platform enhancement. You will mentor a team of data scientists, assisting them in project planning, execution, and issue resolution while also collaborating with machine learning engineers and big data teams to build scalable ML pipelines and improve inference performance. In addition to owning and delivering solutions across multiple charters, you will design and optimize key user journeys by identifying user intents and behavioral patterns from large-scale data. You will continuously track and enhance model performance using state-of-the-art techniques, lead experimental design for usability improvements, and contribute to system-level thinking by enhancing internal tools and frameworks to improve team efficiency and code quality. Your role will also involve partnering with engineering teams to ensure data reliability, compliance with security guidelines, and integration of models into production systems. Furthermore, you will proactively explore new opportunities through research and academic collaboration and communicate findings, plans, and results clearly with stakeholders from various departments. To be successful in this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, with at least 6-8 years of experience in data science and a strong track record of building and deploying ML solutions at scale. You should possess a deep understanding of core ML techniques, statistical foundations, and proficiency in Python, SQL, and data processing tools like Apache Spark and Hadoop/Hive. Experience with deep learning concepts, architectures, and practical applications, as well as strong analytical, problem-solving, and statistical skills are essential for this role. Additionally, you should be able to work closely with product and engineering teams to translate business goals into scalable ML or data solutions. Bonus points will be awarded for experience with reinforcement learning, sequence modeling techniques, and contributions to ML libraries or research publications. If you are passionate about data, innovative-thinking, and creating impactful solutions, you may be the ideal candidate for the Lead Data Scientist position at Meesho.,

As a Senior Data Scientist at Mondelz International, you will play a crucial role in supporting the business by deriving valuable insights from data and effectively communicating your findings to various stakeholders. Your primary responsibilities will involve analyzing data using mathematical, statistical, and machine learning techniques to create actionable insights that drive data-driven decision making within the organization. Your key contributions will include formulating hypotheses, testing them through statistical modeling, and identifying trends or patterns that can be used to develop custom models or prototypes. You will collaborate with cross-functional teams to implement these models, monitor their performance, and ensure data accuracy throughout the process. In addition to your quantitative skillset and experience in statistics, you will leverage your knowledge of statistical programming languages such as R, Python, and SQL to process and gain insights from data. Your expertise in machine learning techniques, advanced statistical concepts, and data mining will be essential in developing analytics models that support decision-making processes. Furthermore, you will be responsible for exploring and experimenting with data visualization tools to effectively showcase data to stakeholders. Your ability to evaluate the need for analytics, select appropriate techniques, and generate valuable insights will be critical in driving innovation and maximizing value within the Data & Analytics function. As a strategic advisor, you will lead data science engagements, shape the organization's data science capabilities, and define internal standards for application development. Your role will involve designing enterprise-level data science applications, recommending suitable tools and technologies, and promoting responsible AI adoption within the organization. In summary, as a Senior Data Scientist at Mondelz International, you will be at the forefront of data-driven decision making, leading data science projects from concept to deployment, and driving innovation through the application of advanced analytics techniques. If you are ready to contribute your expertise and accelerate your career in the field of data science, we invite you to join our mission to lead the future of snacking at Mondelz International.,