49 Experimental Design Jobs - Page 2

As a Biochemical Assay Development Scientist at Technoculture Research, you will be responsible for developing, optimizing, and validating biochemical assays based on enzymatic reactions and metabolic pathways. Your role will involve analyzing metabolic and enzymatic data from electrochemical detection platforms and collaborating with the R&D team to integrate biochemical processes with microfluidic devices. Additionally, you will conduct literature reviews and apply biochemical knowledge to enhance assay design while maintaining accurate laboratory records and contributing to scientific reports. Your support in troubleshooting biochemical protocols and interpreting experimental data will be crucial for the success of our projects. To qualify for this position, you should hold a master's degree in biochemistry, biotechnology, or a related life sciences field. You must possess a strong knowledge of enzymes, enzyme kinetics, and metabolic pathways, along with hands-on experience in biochemical assays and analytical techniques. Preferred qualifications include experience in electrochemical biosensing or bioassay development, familiarity with microfluidics or point-of-care diagnostic systems, and exposure to interdisciplinary research environments. The ideal candidate will demonstrate strong analytical and problem-solving skills, work collaboratively in a research team, and exhibit proficiency in experimental design and data analysis. Effective communication of scientific findings, both in written and verbal formats, is essential for this role. In addition to technical skills, personal attributes such as curiosity-driven passion for applied research, detail-oriented approach with a commitment to quality and precision, proactive and self-motivated attitude, adaptability, and openness to learning new techniques and interdisciplinary approaches are highly valued at Technoculture Research. Technoculture Research, located in Bodhgaya, Bihar, India, focuses on developing modern technology applicable to various fields such as construction, machinery, food, drugs, and agriculture. Our current project centers on innovative methods for efficient water harvesting and artificial water recharge. Our goal is to create a platform capable of accurately predicting hydrological conditions to facilitate development and decision-making processes. With a state-of-the-art biotech lab, we conduct research and development on biomedical, bio-mechanical, and bioelectronics products, emphasizing commercial and industrial usability. Our dedication to novel ideas and cost-effective product development drives us to invent solutions for the next generation.,

As a Biochemical Research Scientist at Technoculture Research, you will be responsible for developing, optimizing, and validating biochemical assays based on enzymatic reactions and metabolic pathways. Your role will involve analyzing metabolic and enzymatic data from electrochemical detection platforms and collaborating with the R&D team to integrate biochemical processes with microfluidic devices. Conducting literature reviews and applying biochemical knowledge to enhance assay design will be crucial aspects of your responsibilities. Additionally, maintaining accurate laboratory records, contributing to scientific reports, supporting troubleshooting of biochemical protocols, and interpreting experimental data will be part of your daily tasks. To qualify for this role, you must hold a master's degree in biochemistry, biotechnology, or a related life sciences field. Moreover, you should possess a strong understanding of enzymes, enzyme kinetics, and metabolic pathways. Demonstrating hands-on experience with biochemical assays and analytical techniques is essential for this position. Preferred qualifications for this role include experience in electrochemical biosensing or bioassay development, familiarity with microfluidics or point-of-care diagnostic systems, and exposure to interdisciplinary research environments. As a Biochemical Research Scientist, you are expected to apply strong analytical and problem-solving skills, work collaboratively in a research team, demonstrate proficiency in experimental design and data analysis, and communicate scientific findings effectively, both in written and verbal forms. In terms of personal attributes, you should maintain a curiosity-driven mindset with a passion for applied research, adopt a detail-oriented approach with a commitment to quality and precision, remain proactive, self-motivated, and adaptable, and be open to learning new techniques and interdisciplinary approaches. Technoculture Research, located in Bodhgaya, Bihar, India, focuses on developing modern technology relevant to various sectors such as construction, machinery, food, drugs, and agriculture. The company's recent project revolves around developing and implementing novel methods for efficient water harvesting and artificial water recharge methods. One of the key objectives is to create a platform capable of accurately predicting hydrological conditions over an area to facilitate development and decision-making processes. The organization conducts research and development based on newly developed technologies, with a primary focus on inventing products for commercial and industrial use. The high-tech biotech lab at Technoculture Research is dedicated to research and development on biomedical, bio-mechanical, and bioelectronics products, emphasizing product development, design, and exploration of novel and innovative ideas for cost-effective products for the next generation.,

Entity: Customers & Products Job Family Group: Research & Technology Group Job Description: As bp transitions to a coordinated energy company, we must adapt to a changing world and maintain driven performance. bps customers & products (C&P) business area is setting up a business and technology centre (BTC) in CITY, COUNTRY . This will support the delivery of an enhanced customer experience and drive innovation by building global capabilities at scale, using technology, and developing deep expertise . The BTC will be a core and connected part of our business, bringing together colleagues who report into their respective part of C&P, working together with other functions across bp. This is an exciting time to join bp and the customers & products BTC! Job Title: Digital product Senior SME About the role: A Product Manager takes ownership of overall product success at a global Castrol level, focusing on understanding customer needs and identifying opportunities to significantly improve its experience and resulting value. This role involves defining product strategy, crafting a compelling vision, and driving the product lifecycle from concept to launch and scaling. Collaboration is key, working closely with engineers, designers, and business partners to deliver impactful solutions. The role requires a systematic approach to evaluating outcomes, ensuring alignment with bps financial, operational, and customer strategies. As a hands-on contributor, the Product Manager manages day-to-day accountability and performance management to achieve product success. Key accountabilities: At this level, the Product Manager is proficient in applying core product management principles to achieve business and customer goals. They play an active role in developing customer-centric products, leveraging data and user insights to refine strategies and guide decision-making. Responsibilities include managing technical and operational processes, defining product requirements, addressing mid-level challenges independently, and performance manage delivery of business and customer value. Collaboration with cross-functional teams is emphasized, ensuring alignment and prioritization between business strategies and product outcomes. Their ability to balance customer needs, data insights, and operational excellence is evident in their contributions. Summary outcome is Creation of Product Roadmaps Creation of Financial Memorandums including cost and benefit analysis Experience & Education: Education: BS/MS in Business, Economics, STEM or equivalent experience 5+ years of experience in product management, with a consistent track record of delivering successful products Experience: Business focused: Analytical and commercially focused, using data-driven insights, metrics, and analytics to evaluate product performance and link outcomes to strategy Clearly define why we are pushing a product, considering market, competitor, technical, and operational aspects of bps strategy and vision Understand business and technical economic value, such as TCO, unit economics, NPV, ROIC, and other commercial measures Translate vision into strategic product roadmaps with an agile delivery approach in partnership with Tech while handling cyber, operational, and/or regulatory risks Plans and control costs associated with running a product, including collecting, analysing, and reporting cost/benefit information to more optimally provide value Human centered: Know and empathize with internal and/or external customer(s) needs to reinvent and innovate product solutions Integrate customer and partner feedback loops to ensure that product solutions and outcomes meet organizational needs Ability to mentor team members and drive cross-discipline problem solving to achieve business outcomes Technology driven: Use lean, iterative experiments and low fidelity prototyping to find signal, validate hypothesis, and iterate before moving to scale Collaborate with partners to define end-state architecture and drive secure, resilient, performant, and scalable technology solutions Engage with partners on data management, laying out how data is processed, stored, accessed, and protected Assess opportunities for reusing enterprise solutions and build new platforms with enterprise scalability in mind A keen curiosity about emerging tools and technologies Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is not available for remote working Skills: Agility core practices, Analytical Thinking, Creating new methodologies, Experimental Design, Formulated product testing, Formulation Deployment, Formulation design, Intellectual Asset Management, Multi-physics modelling, Presenting, Product Development, Product Sustainability Performance Management, Raw materials knowledge, Research and development, Rheology, Safety management across the value chain, Science and Technology Leadership, Scientific publication, Technology Management Processes, Testing electric vehicle charging systems, Thought Leadership, Tribology, Vehicle propulsion technologies, Waterfall Model, Writing skills Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bps recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Show more Show less

Syngenta Seeds is a prominent global developer and producer of seeds for various stakeholders including farmers, commercial growers, retailers, and small seed companies. Our high-quality seeds significantly enhance crop quality and yields, thereby enabling farmers to achieve more productive results. By investing in advanced seeds, farmers can mitigate risks associated with disease and drought, while also optimizing land and water usage. As a Market Segment Lead (MSL) at Syngenta Seeds, your primary role is to oversee the development of a superior portfolio across different crops to address the needs of growers and customers. Collaborating with business functions, you will develop Target Product Profiles (TPP) and translate market requirements and business plans into effective strategies and resource allocation. Your key responsibilities will include managing all stage 5 trials, including seed shipments, trial preparation, data collection, and advancement decisions. You will also support early-stage trialling activities and engage in product placement for stage 6. Driving data-driven decision-making processes and utilizing advanced tools for data analysis will be crucial in this role. Additionally, you will lead a market segment team to deliver the strategy and product portfolio, ensuring performance management, career development, and priority setting for team members. Collaborating with various functions within the organization, you will develop a strategic market segment plan to support business objectives for the region. Your ability to plan strategically, lead teams effectively, and manage resources within budget constraints will be essential for success in this role. To qualify for this position, you should hold a Ph.D. or Master's degree in plant breeding or a related field, with deep knowledge and experience in plant breeding processes, genetics, statistics, and experimental design. A commercial background in product management or pre-commercial development would be advantageous. With at least 5 years of experience in the seeds industry, you should demonstrate project management skills in a team-oriented environment and a proven record of people management in a cross-functional setting. Critical capabilities for this role include the ability to think and plan rigorously, lead and motivate others, and manage resources effectively to achieve objectives. Strong communication skills, adaptability, flexibility, and proficiency in computer software are also essential. Fluency in English, both written and spoken, is required, as regional and international travel may be necessary for this role. Join Syngenta Seeds in driving innovation and transformation in the agricultural sector, and play a key role in developing solutions that meet the evolving needs of growers and customers.,

As the leading innovator in low-power wireless connectivity, Silicon Labs (NASDAQ: SLAB) is dedicated to building embedded technology that connects devices and enhances lives. By integrating cutting-edge technology into highly integrated SoCs, we empower device makers with the solutions, support, and ecosystems necessary for developing advanced edge connectivity applications. With our headquarters in Austin, Texas, and operations spanning over 16 countries, Silicon Labs is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. To learn more about us, visit www.silabs.com. In this role, you will lead and execute complex data science initiatives that drive high-impact business decisions. You will be responsible for developing, deploying, and communicating advanced analytical models. Additionally, you will provide technical guidance to junior data scientists and collaborate closely with cross-functional teams to achieve data-driven outcomes. Your responsibilities will include designing and implementing advanced statistical and machine learning models to solve complex business problems. You will lead full-cycle analytics projects, from problem definition to data exploration, model development, evaluation, and deployment. Collaboration with stakeholders to align data science solutions with business goals, providing technical mentorship to junior team members, and translating complex modeling outputs into actionable insights for senior leadership will also be key aspects of your role. As for qualifications and skills, we are looking for candidates with a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Masters preferred). A minimum of 4 years of experience in data science, machine learning, or advanced analytics is required. You should have advanced proficiency in Python or R, SQL, and machine learning libraries such as scikit-learn and TensorFlow. A strong grasp of statistical analysis, experimental design, model evaluation techniques, and excellent written and verbal communication skills are essential. Experience in leading complex data projects, familiarity with cloud-based data platforms (e.g., AWS, GCP, Azure), and MLOps practices will be advantageous. Joining our team not only means being part of a highly skilled and close-knit group where every engineer's contribution is significant, but also enjoying a good work/life balance and a welcoming, fun environment. We offer benefits and perks such as Equity Rewards (RSUs), Employee Stock Purchase Plan (ESPP), insurance plans with Outpatient cover, National Pension Scheme (NPS), flexible work policy, and childcare support. If you are passionate about data science, machine learning, and advanced analytics, and are eager to make a meaningful impact in a dynamic and innovative environment, we welcome you to apply and be part of our team at Silicon Labs.,

As an Expert Data Center Technologist with 15-20 years of experience, you will be responsible for possessing deep expertise in existing and emerging product portfolios. You will lead the deployment of new products, provide feedback to global teams, and ensure compliance with local laws. Your role will involve staying informed on competitor products, advising sales teams and customers, and promoting products through training and technical communications. You will establish and maintain procedures for lab management, equipment calibration, and stock control to ensure operational efficiency. Additionally, you will guide technical investigations, design experiments, and recommend solutions. Identifying growth opportunities through strategic analysis and supporting operations and supply chain with quality issues will be key aspects of your role. Collaborating with Global Supply Chain to localize products, developing core competencies in emerging technologies, and driving innovation through cross-functional collaboration will also be part of your responsibilities. You should preferably have experience in data centers, IT hardware, or related fields, with knowledge in lubricants or dielectric thermal management fluids being desirable. Demonstrated expertise in problem analysis, experimental design, and technology deployment is required, along with a proven track record in transforming ideas into practical solutions. Being well-connected within the industry and having established relationships across companies, institutes, and research networks are also important requisites for this role.,

As a Manufacturing Engineer, your primary responsibility will be to install and qualify new process equipment, as well as troubleshoot day-to-day manufacturing issues on the production line promptly. You will be required to address tool downtime issues, yield and quality concerns, and develop strategies to prevent recurring problems. Additionally, you will play a key role in identifying and implementing system improvements to enhance throughput, yield, and product performance metrics. To excel in this role, you should possess experience in process or equipment engineering, particularly in thin-film deposition processes or thermal processing in the semiconductor or glass industry. Proficiency in PLC and Controls, Vision system knowledge, Statistical Data Analysis, and Metrology is essential. Your strong problem-solving skills, expertise in Design of Experiments, Statistical Process Control, and structured problem-solving methods like DMAIC will be critical in driving process improvements. In terms of education and experience, we are looking for candidates with an Engineering degree in a technical discipline and at least 3 years of Engineering experience in a manufacturing environment. Knowledge of General Electronics, General Mechanical Systems, and experience in applying Robust Engineering principles will be advantageous. Your essential functions and responsibilities will include developing and documenting robust manufacturing processes for solar modules, collaborating with the development team to integrate manufacturing requirements, conducting experiments to optimize process parameters, and resolving production, equipment, and process issues. You will also be responsible for equipment evaluation, installation, and qualification, as well as data collection and analysis for performance evaluation. Furthermore, you will be expected to provide training to operators, technicians, and new engineers, drive continuous improvement initiatives using six-sigma methodologies, and mentor junior engineers and technicians. Developing Process Control Plans, Preventive Maintenance Plans, maintaining documentation, and ensuring compliance with safety standards are integral aspects of this role. This position requires the ability to work autonomously, communicate effectively with internal associates and suppliers, travel domestically and internationally as needed, and adhere to safety procedures and good housekeeping practices. Additionally, you should be physically capable of performing tasks that involve sitting, standing, walking, lifting, and using personal protective equipment. If you are a motivated individual with a passion for process optimization, problem-solving, and driving manufacturing excellence, we encourage you to apply for this challenging opportunity at our location in Sriperumbudur, Tamil Nadu.,

As a Data Analyst II at Syneos Health, a leading fully integrated biopharmaceutical solutions organization, you will play a crucial role in accelerating customer success by translating unique clinical, medical affairs, and commercial insights into outcomes that address modern market realities. Our Clinical Development model places the customer and the patient at the center of our work, and we are dedicated to simplifying and streamlining processes to enhance collaboration and innovation. In this role, you will work independently to solve open-ended questions, design and analyze tests and experiments, and maintain documentation of analytical processes and projects. You will be responsible for building, maintaining, and improving performance dashboards by leveraging customer feedback for enhanced use and accessibility. Advising clients on best practices and ensuring easy data retrievability are also key aspects of your responsibilities. Furthermore, you will support data quality and understand customer needs as they evolve, mentor and coach junior team members, and facilitate site advocacy group meetings. Your role will involve developing and managing capabilities decks using Power BI data, tracking and analyzing business development outcomes, monitoring customer satisfaction, and overseeing product approval tracking to ensure visibility into product lifecycle status and final approval outcomes. To qualify for this position, you should be passionate about taking the initiative and challenging the status quo in a highly competitive and ever-changing environment. Your role at Syneos Health will involve collaborating with a diverse team of individuals to create a workplace where everyone feels they belong. If you are enthusiastic about making a difference and contributing to changing lives, Syneos Health is the place for you. For further information about Syneos Health, including our achievements over the past 5 years and our commitment to developing our employees, please visit our website at http://www.syneoshealth.com. Please note that tasks, duties, and responsibilities mentioned in this job description are not exhaustive. The Company reserves the right to assign additional tasks at its discretion. The qualifications of incumbents may vary, and equivalent experience, skills, and education will be considered. The Company will determine what constitutes equivalence to the qualifications described above. This job description does not create an employment contract and is intended to comply with all applicable legislation regarding recruitment and employment practices. The Company is committed to compliance with the Americans with Disabilities Act and providing reasonable accommodations when appropriate to assist employees or applicants in performing essential job functions.,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize their operations and achieve strategic goals. In data analysis at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling are leveraged to support 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. As a GenAI Data Scientist, the critical role involves developing and implementing machine learning models and algorithms for GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Candidates with 4+ years of hands-on experience are preferred for this position. 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. - Utilize 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. - Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements: - 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. - Strong programming skills in languages such as 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. - Solid understanding of statistical analysis, hypothesis testing, and experimental design. - Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. - Knowledge of data visualization tools and techniques. - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work in a fast-paced and dynamic environment. Preferred Qualifications: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience with 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 such as Autogen, Langchain, Semantic Kernel, etc. - Experience in chatbot design and development. Professional And Educational Background: Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Masters Degree /MBA,

Aarki is an AI company dedicated to developing advertising solutions that drive mobile revenue growth. Utilizing AI technology, we identify audiences in a privacy-first environment by analyzing trillions of contextual bidding signals alongside our proprietary behavioral models. Our comprehensive audience engagement platform consists of a full-service agency team and a Unified Creative Strategy that offers ad creative ideation and execution services. With a history of working with numerous advertisers over 14 years, we process 5 million mobile ad requests per second from over 10 billion devices, effectively enhancing performance for publishers and brands. Headquartered in San Francisco, CA, we also maintain offices in the United States, EMEA, and APAC. We are currently looking for a dynamic and detail-oriented Senior Manager of Applied Data Science to join our team. As a Senior Manager, you will lead a team responsible for creating and implementing machine learning models and data pipelines to optimize our programmatic demand-side platform (DSP). Collaborating closely with decision science, engineering, and analytics teams, you will drive impactful data science projects and contribute to innovative solutions. Join us in our mission to push the boundaries of AI and mobile advertising within a collaborative environment that encourages creativity and growth. At Aarki, we offer a competitive salary, comprehensive benefits, and substantial opportunities for career advancement. Responsibilities include: - Building, nurturing, and mentoring a high-performing data science team, emphasizing technical growth and long-term career development. - Spearheading the development of scalable machine learning pipelines tailored for programmatic mobile advertising. - Establishing best practices for model deployment, monitoring, and performance assessment. - Taking ownership of process enhancements throughout the ML lifecycle. - Promoting collaboration with teams in Bangalore and San Francisco, including decision science and bidder engineering, to deploy models into production and conduct experiments. - Ensuring timely project deliveries and swift resolution of model-related issues in production environments. - Designing and managing data pipelines to facilitate the efficient processing of large-scale datasets for training and evaluation. - Collaborating with product managers, engineers, and business stakeholders to seamlessly integrate models into production systems. - Staying abreast of advancements in machine learning and applying cutting-edge techniques to enhance platform capabilities. - Driving innovation by exploring and adopting new methodologies, tools, and technologies. The ideal candidate possesses: - Over 7 years of hands-on experience in data science, with a solid background in machine learning, statistics, and modeling. - More than 3 years of experience in managing teams of data scientists or ML engineers. - Proficiency in Python and SQL, with familiarity in Spark being advantageous. - Expertise in ML libraries like Scikit-Learn, LightGBM, TensorFlow, and PyTorch. - Profound understanding of probability, statistical analysis, and experimental design. - Demonstrated expertise in deploying ML models into production and ensuring continuous model observability. - Exceptional communication skills enabling the effective explanation of complex concepts to both technical and non-technical audiences. - Knowledge of RTB, auction theory, and high-throughput low-latency environments is a plus.,

As a Manufacturing Process Engineer at our company, you will be responsible for installing and qualifying new process equipment, troubleshooting day-to-day manufacturing issues, and implementing system improvements to enhance throughput, yield, and product performance. Your role will require process or equipment engineering experience in thin-film deposition processes or thermal processing in the semiconductor/glass industry. You should have a demonstrated knowledge of PLC and Controls, Vision system knowledge, Statistical Data Analysis, Metrology, Design of Experiments, Statistical Process Control, and various problem-solving methods. In addition, you must possess excellent problem-solving skills, proficiency in generating manufacturing documentation, understanding of manufacturing processes, and the capability to train operators, technicians, and new engineers. Strong communication skills, both oral and written, are essential for this role. To be considered for this position, you should hold an engineering degree in a technical discipline with at least 3 years of engineering experience in a manufacturing setting. Knowledge of General Electronics, General Mechanical Systems, and Robust Engineering principles is desirable. As part of your responsibilities, you will develop, improve, and document solar module manufacturing processes, work on new process development, design experiments, and address production, equipment, and process issues. You will also be involved in equipment installation and qualification, data collection, communication with internal associates and suppliers, and continuous improvement activities. Physical requirements for this role include the ability to sit, stand, walk, climb stairs, lift objects, and wear personal protective equipment. You should have good vision, be able to comply with safety standards, and travel domestically and internationally as needed. If you are a proactive, detail-oriented engineer with a passion for process optimization and product performance, we encourage you to apply for this position and be part of our dynamic team located at Plot No.A-1/1 SIPCOT Industrial Park, Sriperumbudur, Tamil Nadu, IN.,

The role is embedded in the Product Development team and has numerous touch points with both internal and external customers and is part of the Data Center Agile Squad. In the challenging data center immersion cooling business, it is essential to keep up with fast-paced developments and driven competition in the market. This competition is represented by both established lubricant competitors, emerging ones stepping up from sub-supplier positions as well as alternative data center designs such as air cooling and direct to chip cooling. The core competence in technical expertise and technical trends in this space must be developed to offer coordinated and innovative solutions to customers, besides working on intuition-style and experience-based routine troubleshooting-type tasks. The purpose of the role is to take the mission of delivering coordinated solutions to internal/external customers in a safe, reliable manner, leveraging rich experience in applied technologies and strong expertise of products and services for lubricant engineering industries. The role will have various responsibilities as a significant part of bps local technical platform and global technology community, where bp technology is established and developed to satisfy customers" demands at present and in the future. The incumbent will be a core member of the global Data Center Squad, a multi-functional group passionate about decarbonization industry. Key Results/Accountabilities from the role include ensuring compliance with daily operations to fulfill responsibilities in a manner that conforms to bps value, code of conduct, and internal policies. Deep understanding of existing and evolving products portfolio, characteristics of products, application scenarios, and industrial standards is required to lead to practical and effective solutions. The incumbent will also be responsible for providing technical support and service by demonstrating skillful practices in handling sophisticated troubleshooting cases using various problem-solving tools. Additionally, the role involves project management, innovation and engineering, and management of other tasks within the TD working scope. The ideal candidate should have strong capabilities in international and intercultural communication, preferably with a degree or equivalent experience in Chemistry, Engineering, Computer Science, or a related technical subject area. Hands-on experience in data centers/IT hardware, immersion cooling, or similar fields is desired. Knowledge about the formulation, application, and production of lubricants and/or dielectric thermal management fluids is a plus. The candidate should possess fundamental skills in problem analysis, experiment design, data processing, and reporting, as well as broad experience in technical development and technology deployment. Strong interpersonal skills and experience of working across teams are also essential. Travel Requirement: Up to 10% travel should be expected with this role. Relocation Assistance: This role is eligible for relocation within the country. Remote Type: This position is not available for remote working. Skills required for this role include Agility core practices, Analytical Thinking, Creating new methodologies, Experimental Design, Formulated product testing, Formulation Deployment, Formulation design, Intellectual Asset Management, Multi-physics modeling, Presenting, Product Development, Product Sustainability Performance Management, Raw materials knowledge, Research and development, Rheology, Safety management across the value chain, Science and Technology Leadership, Scientific publication, Technology Management Processes, Testing electric vehicle charging systems, Thought Leadership, Tribology, Vehicle propulsion technologies, Waterfall Model, Writing skills.,

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