12 Experimental Design Jobs

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.,

You are invited to join our team as a Full-Time Furniture Designer based at our studio in Chandigarh. We are seeking a talented individual with a strong passion for design, materials, and detailing. The ideal candidate should have proficiency in 3D modeling software such as Rhino, SketchUp, or similar tools. An in-depth understanding of joinery and furniture construction is essential, along with the ability to translate concepts from sketches to prototypes. We value individuals who have an interest in contemporary, handcrafted, and experimental design. This role offers the opportunity to work on-site, collaborating on real-time projects and contributing to the creation of unique designs from scratch. If you are someone who enjoys working with form, function, and craft, we are excited to learn more about you. To apply for this position, please send your portfolio and resume to careers@plpbinfra.com or reach out via direct message.,

As a Data Science Associate Director at Accenture Strategy & Consulting, Global Network Data & AI practice in the Resources team, you will be part of a dynamic group that helps clients grow their businesses through analytics and insights. Your role will involve working closely with clients and stakeholders to drive business growth, identify new opportunities, and develop advanced analytics models for various client problems. Your responsibilities will include solution architecture, design, deployment, and monitoring of analytics models, as well as collaborating with internal teams to drive sales and innovation. You will be expected to lead a team of data analysts, work on large-scale datasets, and provide thought leadership in key capability areas such as tools & technology and asset development. Qualifications and Experience: - Bachelor's/Masters degree in Mathematics, Statistics, Computer Science, Computer Engineering, or related field - 15+ years of experience as a Data Science professional focusing on cloud services - Strong knowledge of Statistical Modeling, Machine Learning algorithms, and Experimental design - Expertise in experimental test design and the ability to derive business strategies from statistical findings - Experience in Utilities, Energy, Chemical, and Natural Resources industries preferred - Proficiency in programming languages like Python, PySpark, SQL, or Scala - Implementation of MLOps practices for streamlining machine learning lifecycle - Understanding of data integration, data modeling, and data warehousing concepts - Excellent analytical, problem-solving, communication, and collaboration skills - Relevant certifications in Azure Data Services or cloud data engineering are highly desirable If you are a strategic thinker with excellent communication skills, a passion for innovation, and a drive to make a difference in the world of data science, we invite you to join our team at Accenture Strategy & Consulting.,

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 the Associate Director - Analytics at Games24x7, you will play a crucial role in leading the analytics function for our flagship fantasy sports product, My11Circle. Your responsibilities will include developing and executing the data strategy, building and mentoring a high-performing analytics team, and driving data-informed decisions across all aspects of the My11Circle product lifecycle. You will be responsible for defining key performance indicators (KPIs) and establishing robust reporting frameworks to track product performance and user behavior. Collaborating with various stakeholders, such as product management, engineering, and marketing teams, you will provide actionable insights based on data analysis to drive product innovation, user growth, and revenue optimization. To excel in this role, you should possess a strong analytical background, deep understanding of product analytics principles, and proven experience in leading analytics teams. Your strategic thinking, combined with a hands-on approach, will enable you to translate complex data into actionable insights that directly impact the success of My11Circle. Your leadership skills will be crucial in building, mentoring, and leading a talented team of data analysts and scientists dedicated to supporting the My11Circle product. By fostering a data-driven culture within the team and organization, you will create an environment that promotes professional development and continuous learning. Additionally, you will oversee the design, development, and execution of in-depth analysis on user acquisition, engagement, retention, monetization, and gameplay patterns within My11Circle. Utilizing various analytical techniques, you will uncover key insights and trends, develop dashboards and reports, and drive the adoption of self-service analytics capabilities within the team. Furthermore, you will collaborate with the product team to design and analyze A/B tests and experiments to optimize product features, user flows, and marketing campaigns. You will also work with data engineering teams to ensure data availability, accuracy, and reliability for My11Circle analytics and contribute to the development of a scalable data infrastructure. If you are a passionate and experienced analytics leader with a deep understanding of product analytics and a desire to make a significant impact on a leading fantasy sports platform, we encourage you to apply. Join us at Games24x7, where you can leverage your expertise and drive data-informed decisions to shape the future of online gaming and fantasy sports.,

As a Data Science Associate Director at Accenture Strategy & Consulting's Global Network Data & AI practice in the Resources team, your role will involve collaborating with clients and stakeholders to drive business growth and identify new opportunities. You will be responsible for solution architecting, designing, building, deploying, delivering, and monitoring advanced analytics models to address various client problems. Your strategic mindset will play a crucial role in translating engineering and business problems into analytics challenges to deliver actionable insights and operational enhancements. Your responsibilities will include interfacing with clients and account teams, collaborating with internal Accenture teams to drive sales, identifying new use cases with cross-functional teams, and providing innovation and thought leadership in key capability areas. Additionally, you will manage and mentor a high-performing team of data analysts working on large-scale datasets, cloud platforms, IoT, and similar data sets. To excel in this role, you should possess excellent communication and interpersonal skills, a strategic mindset, and a solid foundation in Statistical Modeling, Machine Learning algorithms, and Experimental design. Your 15+ years of experience in Data Science with a focus on cloud services will be valuable, along with expertise in programming languages such as Python, PySpark, SQL, or Scala. Experience in Utilities, Energy, Chemical, and Natural Resources sectors is preferred. Implementing MLOps practices, understanding data integration, modeling, warehousing concepts, and possessing strong analytical and problem-solving skills are essential for this position. A Bachelor's/Masters's degree in Mathematics, Statistics, Computer Science, Computer Engineering, or a related field is required. Relevant certifications in Azure Data Services or cloud data engineering are highly desirable. Your ability to work effectively with cross-functional teams, stakeholders, and provide analytically-informed insights at scale will be key to achieving high performance and driving business growth in this role.,

Silicon Labs is the leading innovator in low-power wireless connectivity, dedicated to building embedded technology that connects devices and enhances lives. By integrating cutting-edge technology into highly integrated SoCs, Silicon Labs equips device makers with the solutions, support, and ecosystems necessary for creating advanced edge connectivity applications. With headquarters in Austin, Texas, Silicon Labs operates in over 16 countries and is the preferred partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. To learn more, visit www.silabs.com. In this role, you will lead and execute complex data science initiatives that drive high-impact business decisions. Your responsibilities will include developing, deploying, and communicating advanced analytical models. Additionally, you will offer technical guidance to junior data scientists and collaborate closely with cross-functional teams to achieve data-driven outcomes. Key Responsibilities: - Design and implement advanced statistical and machine learning models to address complex business challenges. - Lead full-cycle analytics projects, from problem definition to data exploration, model development, evaluation, and deployment. - Collaborate with stakeholders to align data science solutions with business objectives and priorities. - Provide technical mentorship to junior team members and facilitate knowledge sharing across the team. - Translate complex modeling outputs into actionable insights and present findings to senior leadership. - Stay updated on industry best practices and emerging trends in AI, machine learning, and data science tools. - Contribute to the enhancement of analytical workflows, code standards, and data governance. - Apply sound judgment to navigate ambiguous problems and propose scalable solutions. - Perform any other duties required to support the data science team and organizational goals. Required Qualification and Skills: - Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; Master's degree preferred. - Minimum of 4 years of experience in data science, machine learning, or advanced analytics. - Advanced proficiency in Python or R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow). - Strong understanding of statistical analysis, experimental design, and model evaluation techniques. - Excellent written and verbal communication skills, with the ability to influence both technical and non-technical stakeholders. - Demonstrated experience in leading complex data projects and driving measurable business outcomes. - Experience with cloud-based data platforms (e.g., AWS, GCP, Azure) and MLOps practices is a plus. Benefits & Perks: Joining our highly skilled and close-knit team means you will have a significant impact on the product. We emphasize good work/life balance and strive to create a welcoming and fun environment. Additionally, the benefits and perks include Equity Rewards (RSUs), Employee Stock Purchase Plan (ESPP), insurance plans with Outpatient cover, National Pension Scheme (NPS), flexible work policy, and childcare support.,

As a Data Scientist specializing in Generative AI & ML Engineering, your primary responsibility will be to research and develop AI algorithms and models. You will be tasked with analyzing data, constructing predictive models, and employing machine learning techniques to address intricate problems. Your proficiency should encompass a range of skills including proficiency in languages/frameworks such as Fast API and Azure UI Search API (React), as well as expertise in databases and ETL tools like Cosmos DB and Data Factory Data Bricks. In addition, you should have a strong command of Python and R, familiarity with Azure Cloud Basics and Gitlab Pipeline, and experience in deploying AI solutions end-to-end. In addition to your proficient skills, you are expected to possess expert-level knowledge in areas such as Azure Open AI, Open AI GPT Family of models, and Azure Storage Account. Your expertise should extend to machine learning algorithms, deep learning frameworks like TensorFlow and PyTorch, and a solid foundation in mathematics including linear algebra, calculus, probability, and statistics. Furthermore, your role will require proficiency in data analysis tools such as Pandas, NumPy, and SQL, as well as strong statistical and probabilistic modeling skills. Experience with data visualization tools like Matplotlib, Seaborn, and Tableau, along with knowledge of big data technologies like Spark and Hive, will be essential for success in this position. Overall, your experience in AI-driven analytics and decision-making systems, coupled with your ability to develop and deploy AI frameworks and models, will be critical in delivering effective solutions to complex challenges.,

The role involves installing and qualifying new process equipment, as well as troubleshooting day-to-day manufacturing issues on the production line promptly. You will be responsible for addressing tool down problems, yield and quality issues, and implementing actions to prevent reoccurrence. Moreover, you will identify and implement system improvements to enhance throughput, yield, and product performance goals. Ideally, you should possess process or equipment engineering experience in thin-film deposition processes like Magnetron Sputtering, CVD, evaporation, or thermal processing in the semiconductor/glass industry. Proficiency in PLC and Controls, Vision system knowledge, Statistical Data Analysis, and problem-solving skills are essential. Additionally, you should be adept at Metrology, writing complete manufacturing documentation, applying Design of Experiments, and using Statistical Process Control methods. Your role will involve structured problem-solving methods such as DMAIC, 5-Why, and fishbone analysis. You should have a good understanding of manufacturing processes, FMEAs, and the ability to train operators, technicians, and new engineers. Excellent communication skills, both oral and written, are crucial for this position. The successful candidate will hold an engineering degree in a technical discipline with at least 3 years of engineering experience in a manufacturing environment. Desired skills include knowledge of General Electronics, General Mechanical Systems, and applying Robust Engineering principles to develop and implement processes effectively. Key responsibilities include developing, improving, and documenting solar module manufacturing processes, working with the development team to incorporate manufacturing requirements, and conducting experiments to establish process windows. You will be responsible for solving production, equipment, and process issues, evaluating, installing, and qualifying new equipment, and conducting planned process experiments. Furthermore, you will collect and analyze data, interface with internal associates and supplier representatives, maintain effective communication with production associates and engineers, and provide training where necessary. Other responsibilities include championing continuous improvement activities, mentoring junior engineers and technicians, developing Process Control Plans and Preventive Maintenance Plans, and adhering to safety procedures and good housekeeping standards. This role may require domestic and international travel and involves physical requirements such as sitting, standing, walking, climbing stairs, and lifting objects up to 27 pounds. The ability to wear personal protective equipment, including a respirator, is essential. Overall, the successful candidate will work with minimal supervision, ensuring compliance with safety standards and procedures at all times. This is a full-time position based at Plot No.A-1/1 SIPCOT Industrial Park, Sriperumbudur, Tamil Nadu, 602105, IN, with a normal shift work schedule.,

A Research Scientist designs, conducts, and analyzes experiments and research projects to advance scientific knowledge and potentially develop new products or technologies. They are responsible for all stages of research, from planning and execution to data analysis and reporting, and often collaborate with other scientists and professionals. Key Responsibilities: Planning and Design: Developing research proposals, designing experiments, and creating research plans. Execution: Conducting experiments, collecting data, and monitoring research progress. Analysis and Interpretation: Analyzing data, interpreting results, and drawing conclusions. Reporting: Writing research papers, reports, and presentations to disseminate findings. Collaboration: Working with other scientists, engineers, and professionals to share knowledge and expertise. Staying Updated: Keeping abreast of new scientific developments, technologies, and research trends. Supervision: May be involved in mentoring and supervising junior researchers or technicians. Funding: Applying for grants and funding to support research projects. Problem-Solving: Identifying and solving scientific problems through research and experimentation. Safety and Compliance: Ensuring research is conducted safely and in accordance with ethical and regulatory standards.

As a seasoned agronomy professional, you will be responsible for demonstrating a deep understanding of carbon and nitrogen cycling in soils, specifically how regenerative practices such as cover cropping, reduced tillage, and organic amendments influence soil organic carbon sequestration, nitrogen mineralization, and greenhouse gas (GHG) emissions. You will lead a team of research associates in conducting thorough literature reviews on the impact of GHG emissions from rice, wheat, sugarcane, and maize cultivation in Indian farming systems. Your role will involve assessing the effects of regenerative practices on soil microbial activity, nutrient availability, and carbon-nitrogen interactions to develop effective land management strategies. In addition, you will be tasked with developing field experiment protocols aligned with project objectives and collaborating with national and international agriculture research institutes to conduct experimental field trials aimed at studying the impact of regenerative practices on various GHG emission sources and soil organic carbon pools. You will design comprehensive soil sampling strategies across diverse landscapes and management practices, ensuring accurate data collection and analysis. Your leadership in overseeing field teams during soil sampling and GHG measurements will be crucial in maintaining data quality and adherence to protocols. Furthermore, you will be expected to actively engage in scientific forums and conferences to share insights, build partnerships, and contribute to peer-reviewed publications advancing knowledge on soil carbon dynamics and GHG emission reduction strategies. Your ability to translate complex scientific findings into actionable insights for diverse audiences, including policymakers and field practitioners, will be essential. The ideal candidate for this role should hold a Ph.D. in Agricultural Research, Climate Change, Soil Science, or related fields, with 7-10 years of experience in GHG emissions research, soil microbiology, or agronomic practices specific to crops like rice, wheat, maize, or sugarcane. Proficiency in advanced data analysis and modeling software, strong communication skills, and a willingness to travel for fieldwork are also required. Desired skills include an understanding of climate change impacts on agriculture, experience with field trials and sustainable farming techniques, expertise in soil carbon cycling, and strong problem-solving abilities. Joining our team will offer you a competitive salary and benefits package, a key role in a fast-growing climate tech startup, support for learning and professional development, and a culture of creativity and collaboration.,

Ajanta Pharma is looking for Research Associate- Method Development- Ophthalmic to join our dynamic team and embark on a rewarding career journey Design and validate analytical methods for ophthalmic drugs Conduct laboratory testing and data interpretation Ensure regulatory compliance and documentation accuracy Collaborate with R&D and QA for development alignment