11 Experiment Design Jobs

You will join Salesforce, a company that aims to inspire the future of business through the integration of AI, data, and CRM. Upholding core values, Salesforce empowers companies across various industries to innovate and engage with customers in unique ways. As a member of the team, you will have the opportunity to become a Trailblazer, enhancing your performance, advancing your career, and contributing to positive change in the world. As an experienced Data Scientist, your primary responsibility will be to develop marketing attribution, causal inference, and uplift models to enhance the efficiency and effectiveness of marketing initiatives. This role will involve designing experiments and ensuring a consistent approach to experimentation and campaign measurement across marketing, customer engagement, and digital use cases. The ideal candidate will possess extensive experience in creating statistical models and AI/ML algorithms for marketing and digital optimization on large-scale datasets within a cloud environment. Rigorous testing and evaluation of algorithm performance will be essential, both during development and in production. Moreover, a deep understanding of statistical and machine learning techniques is necessary, along with a commitment to the ethical use of data in algorithm design. Key Responsibilities: - Develop statistical and machine learning models to enhance marketing effectiveness, including attribution models, causal inference models, and uplift models. - Create optimization and simulation algorithms to optimize marketing spend across channels and improve ROI. - Lead the entire model development lifecycle from ideation to deployment, monitoring, and tuning. - Design experiments to support marketing, customer experience, and digital campaigns, and collaborate with peers to establish consistent experimentation and measurement approaches. - Cultivate strong cross-functional relationships and collaborate with key partners throughout the organization. - Stay updated on innovations in enterprise SaaS, AdTech, paid media, data science, customer data, and analytics fields. Required Skills: - 8+ years of experience in designing models for marketing optimization using statistical and machine learning techniques. - Proficiency in developing advanced statistical techniques for experiment design and causal inference methods. - Expertise in programming languages such as Python, R, PySpark, Java, and SQL. - Experience with cloud platforms like GCP and AWS for model development and deployment is preferred. - Strong quantitative reasoning skills and the ability to provide data-driven business insights. - Excellent written and verbal communication skills with a collaborative mindset. - Ability to simplify complex problems and a creative approach to finding solutions. - B2B customer data experience and knowledge of Salesforce products are advantageous.,

As a PCB Design Engineer based in Hyderabad, you will need to have at least 4+ years of overall work experience in two or more of the following skills. You should have a strong background in Multi-layer PCB Design, with 1-2 years of experience and exposure to the full life-cycle process including Part selection, Schematic design, Board bring up, Certification, and Volume production. Your role will also involve working with ARM Microcontroller designs, specifically with Infineon, NXP, or STM32, and integrating daughter boards with RF chipsets such as WIFI/BLE. You should be familiar with commonly used protocols and ICs like I2C, GPIO, SPI, UART, and MIPI, as well as various sensors and drivers such as Hall, Proximity, Lidar/TOF, DC/Servo/Stepper Motor, and LEDs. Proficiency in PCB Design tools like Eagle, Fusion360, Altium, KiCad, Allegro, etc., is essential for this role. Additionally, you will be responsible for SI Simulations, in-lab testing, timing and circuit analysis, EMI testing, as well as experience with Camera and AI chipsets. Knowledge of RoHS Compliance and FCC Certification will be advantageous. You should have experience in Schematic Entry, Engineering Design Specification (EDS), System, and Board level architecture design, as well as associated power circuitry including charger, fuel gauge, etc. Experience in High voltage AC->DC EV Charging will be a plus. Your job responsibilities will include electrical design, testing, and manufacture of prototype products and production runs. You will collaborate with Software teams to build and test prototype products for proof of concept. Strong troubleshooting skills, including the use of standard lab equipment, will be essential for this role. You will also be required to design and conduct experiments to test design concepts effectively.,

You will be working as a Project Manager/Principal Scientist in Formulation Development for a Lifescience Company. As the Project Manager/Principal Scientist, you will play a crucial role in leading and coordinating pharmaceutical product development projects. Your responsibilities will include overseeing formulation development projects from the conceptual stage to commercialization. This will involve designing and conducting experiments, analyzing data, and optimizing formulations. Additionally, you will collaborate with cross-functional teams, manage project timelines, and ensure adherence to regulatory standards. Your role will also entail mentoring junior scientists and contributing to strategic planning and innovation in formulation science. Your key responsibilities will include: 1. Project Planning & Execution: Develop detailed project plans, monitor progress, and lead risk assessment and mitigation efforts. 2. Cross-functional Coordination: Act as a central point of contact for formulation development projects and facilitate collaboration among various teams. 3. Budget & Resource Management: Track project budgets, resource allocation, and ensure optimal utilization of resources. 4. Documentation & Compliance: Oversee the preparation and review of development documents and ensure compliance with regulatory guidelines. 5. Stakeholder Reporting: Provide regular updates to senior management, maintain dashboards, and ensure audit readiness. To qualify for this role, you should have a B.Pharm/M.Pharm/M.Sc. in Pharmaceutics or a related field, along with 8-12 years of experience in formulation development and project management in a regulated pharmaceutical environment. A proven track record in managing FDF development projects for regulated markets and a strong understanding of formulation science and regulatory requirements are essential. Proficiency in project management tools and excellent communication skills are also required. This is a full-time remote position that offers the opportunity to lead formulation development projects, collaborate with cross-functional teams, and contribute to strategic planning and innovation in formulation science. A Ph.D. or Master's degree in Chemistry, Pharmaceutical Sciences, or a related field, along with relevant experience in the pharmaceutical or biotechnology industries, would be advantageous. Strong analytical, problem-solving, and leadership skills are key attributes for success in this role.,

As a data-science leader, you will be responsible for transforming raw data into actionable insights and developing innovative AI products. Your role will involve managing projects from the initial framing of business questions to the deployment and monitoring of models in the cloud. You will have the opportunity to introduce cutting-edge generative-AI concepts such as chat assistants and retrieval-augmented search. Additionally, you will lead a team of data professionals and collaborate closely with product, engineering, and business stakeholders to deliver measurable results. Your primary responsibilities will include designing and constructing predictive and forecasting models that drive tangible impact, as well as planning and executing A/B experiments to validate ideas and guide product decisions. You will be tasked with developing and maintaining data pipelines to ensure the integrity and timeliness of datasets. Furthermore, you will spearhead generative-AI initiatives, implement modern MLOps practices for model deployment and monitoring in the public cloud, and establish robust monitoring and alerting mechanisms for accuracy, latency, drift, and cost. In addition to your technical duties, you will play a crucial role in mentoring and coaching your team, conducting code reviews, and sharing best practices. You will be required to communicate complex findings in a clear and actionable manner to non-technical audiences. Upholding data governance and privacy standards across all projects will be paramount, in alignment with internal and industry guidelines. Furthermore, you will continuously assess new tools and methodologies, running proof of concepts to ensure that solutions remain cutting-edge. The ideal candidate for this role will possess a strong foundation in statistics, experiment design, and end-to-end machine learning workflows. Proficiency in Python and SQL is essential, along with a proven track record of transitioning models from notebooks to production environments. Hands-on experience with cloud platforms such as AWS, Azure, or GCP, including container-based deployment and CI/CD practices, is highly desirable. Practical exposure to generative-AI projects, including prompt engineering, fine-tuning, and retrieval-augmented pipelines, will be advantageous.,

Responsibilities Apply advanced methods to data sets in understanding the impact of abuse to the YouTube ecosystem. Develop new workflows against known vectors of abuse. Learn technical concepts, systems, and deliver meaningful results using them. Communicate technical results and methods clearly. Maintain quality by providing feedback metrics to the Global team. Manage technological solutions for streamlining quality assurance and produce scalable training solutions to emergent workflows. Perform fraud and spam investigations using various data sources, identify product vulnerabilities, and drive anti-abuse experiments to prevent abuse. Work with engineers and interact cross-functionally with stakeholders to improve workflows via process improvements, automation, and anti-abuse system creation. Develop Machine Learning Models (e.g., using LLMs, BERT) to detect and prevent various types of abuse on YouTube. Develop Machine Learning based detection systems for different adversarial and large-scale coordinated abuse vectors. Minimum qualifications: Bachelor's degree or equivalent practical experience. 1 year of experience in data management, metrics analysis, experiment design and automation. Experience with classification systems, ranking systems, or similar. Preferred qualifications: Experience translating analytical insights into business strategies and actions. Experience creating opportunities to innovate, conceptualize, and complete while working with global teams. Experience collecting, managing, and synthesizing large data sets and information from disparate sources, statistical modeling, data mining and data analysis.

As a Data Scientist (Generative AI) Lead with 4-6 years of experience based in Nagpur, you will play a crucial role in transforming raw data into valuable insights and cutting-edge AI products. Your responsibilities will encompass the entire project lifecycle, from defining business questions and analyzing datasets to deploying and monitoring models on the cloud. Additionally, you will spearhead generative-AI projects like chat assistants and retrieval-augmented search, manage a team of data professionals, and collaborate closely with product, engineering, and business teams to deliver tangible value. Your main responsibilities will include designing and implementing predictive and forecasting models that drive business impact, conducting A/B experiments to validate ideas and inform product decisions, establishing and maintaining data pipelines to ensure data integrity and timeliness, leading generative-AI initiatives such as LLM-powered chat and RAG search, as well as deploying and monitoring models using contemporary MLOps practices in the public cloud. You will also be in charge of setting up monitoring and alerting systems for accuracy, latency, drift, and cost, mentoring your team, translating complex insights into actionable narratives for non-technical stakeholders, ensuring data governance and privacy compliance, and staying abreast of new tools and methodologies to keep solutions at the cutting edge. To excel in this role, you should have a strong foundation in statistics, experiment design, and end-to-end ML workflows, proficiency in Python and SQL with a track record of transitioning models from notebooks to production, hands-on experience with cloud platforms like AWS, Azure, or GCP including container-based deployment and CI/CD pipelines, and practical exposure to generative-AI projects involving prompt engineering, fine-tuning, and retrieval-augmented pipelines. If you are passionate about leveraging data science to drive innovation, possess strong technical skills, and enjoy collaborating with cross-functional teams to deliver impactful solutions, this role offers an exciting opportunity to lead transformative AI projects and make a significant contribution to the organization's success.,

As a Marketing Intern at Seekho, you will have the opportunity to immerse yourself in high-impact growth initiatives and gain practical experience in marketing. You will collaborate with a driven growth team on live projects, contributing to strategy, execution, experimentation, and learning loops to drive real results. Your role will involve working closely with the Growth and Marketing team to execute campaigns and initiatives that enhance user acquisition and engagement. You will delve into user behavior, market research, and competitor intelligence, brainstorm and execute new marketing experiments, assist with performance marketing, content creation, social media, and email marketing efforts, and analyze metrics to track performance and iterate based on data. Your role will also involve supporting rapid, high-stakes experiments such as launching new campaigns, trying creative formats, or testing new channels. We are looking for a sharp, driven, and curious individual with a strong problem-solving mindset and the ability to break down challenges using first principles. You should be internet-native, resourceful, adaptable, and eager to learn fast and execute even faster. Good communication skills, a collaborative mindset, and the ability to manage multiple tasks and meet tight deadlines are essential. Language fluency in Tamil and Telugu is mandatory for this role. As a Marketing Intern at Seekho, you will gain valuable insights into growth and marketing processes, exposure to data-driven decision-making, experiment design, content creation, SEO, social media, and performance marketing fundamentals. You will also receive hands-on experience with tools, analytics, and live campaign execution, learning how to ship and iterate effectively in a startup environment. Working directly with senior team members and founders, you will have ownership from day one, experience a steep learning curve, and receive constant feedback. Join our dynamic and high-standard team at Seekho for a rewarding and enriching internship experience.,

You are looking for a visionary Data Science Manager with expertise in Generative AI and Retrieval-Augmented Generation (RAG) to lead AI initiatives from both technical and business perspectives. In this role, you will lead a team of data scientists and ML engineers, design Generative AI models, develop statistical models, and integrate knowledge retrieval systems to enhance performance. Your responsibilities will include mentoring the team, designing scalable AI/ML solutions, implementing Generative AI models, and developing statistical models for forecasting and segmentation. You will also be responsible for integrating databases and retrieval systems, ensuring operational excellence in MLOps, and collaborating with various teams to identify high-impact use cases for GenAI. To qualify for this role, you should have a Masters in Computer Science or related fields, 10+ years of data science experience with 2+ years in GenAI initiatives, proficiency in Python and key libraries, and a strong foundation in statistical analysis and predictive modeling. Experience in cloud platforms, vector databases, and MLOps is essential, along with a background in sectors like legal tech, fintech, retail, or health tech. If you have a proven track record in building and deploying LLMs, RAG systems, and search solutions, along with a knack for influencing product roadmaps and executive strategy, this role is perfect for you. Your ability to translate complex AI concepts into actionable strategies and present findings to non-technical audiences will be crucial in driving AI/ML adoption and contributing to the company's innovation roadmap.,

Job Title: Performance Marketer Job Description: As a Performance Marketer, you will be responsible for developing and executing strategies to drive measurable results in various digital marketing channels. Your primary focus will be on

Description We are looking for a skilled Lab Technician to join our team. The Lab Technician will be responsible for conducting laboratory tests, analyzing results, and maintaining equipment. The ideal candidate will have 1-8 years of experience in the job market context of India, with a strong background in science and laboratory procedures. Responsibilities Conduct laboratory tests and experiments, following standard procedures and protocols Analyze test results and prepare reports for research and development teams Maintain laboratory equipment and ensure it is functioning properly Maintain accurate records of all laboratory tests and experiments Collaborate with research and development teams to design and execute experiments Ensure compliance with safety standards and protocols Assist in the development of new laboratory procedures and protocols Skills and Qualifications Bachelor's degree in a relevant field (such as biology, chemistry, or medical technology) 1-8 years of experience working as a Lab Technician Strong understanding of laboratory procedures and protocols Experience using laboratory equipment such as microscopes, centrifuges, and spectrophotometers Ability to analyze data and prepare reports Strong attention to detail and accuracy Excellent communication and collaboration skills Familiarity with safety standards and protocols Ability to work independently and in a team environment

Job Description Company Overview Lifesight is a fast-growing SaaS company focused on helping marketers leverage their own data & advanced AI to improve marketing decision making. Our mission is to make it easy for non-technical marketers to navigate the privacy-first era with a modern and unified marketing measurement platform that is designed to drive incremental impact, optimize spend and achieve their business goals. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK. We are a profitable company and our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Position Overview We are looking for a seasoned professional with deep experience in the marketing measurement industry to join and lead our marketing science team. The marketing science team at Lifesight sits in the intersection of customer success, sales and marketing. In this role, you will be responsible for managing our marketing science team and its initiatives. You will be responsible for driving revenue by closing deals and ensuring that our customers' needs are met. You will also be responsible for evangelizing our platform in the market through online and offline activities in order to drive demand and build trust. You will get the unique opportunity to work on growing a trending AI-powered measurement platform, in a massive industry and get to truly drive its adoption & success. What Youll Do Manage a team of marketing scientists who assist in solving our customer measurement needs using Marketing Mix Modeling, universal attribution, incrementality testing and causal inference. Evangelize our UMM platform, articulating its value proposition to a diverse range of brands across multiple industries. Own and achieve a revenue target for the US market driven through strategic initiatives that you set up. Study and understand the customers business goals and KPIs to offer expert recommendations and actionable insights to achieve them using our platform. Manage the portfolio of customer accounts, communications and engagement with the support of our team of customer success and support executives, to ensure customer satisfaction. Craft compelling thought leadership content for social media and other channels to engage potential clients and industry leaders. Oversee custom consulting and professional services work for customers who require them. Contribute to our product roadmap and feature development alongside our product, data science and engineering team. Identify and stay ahead of industry trends, track competitor movements and find differentiators to continuously improve our offering and solutions. Work closely with global sales and marketing to ensure alignment and cohesiveness in go-to-market strategies. Train and coach new marketing scientists and other team members to enable career growth and skill development. Requirements You are perfect for the role if you: Bachelors degree or above in Business Management, BI/Analytics, Economics, Statistics, Mathematics and/or Marketing 6+ years experience with strong foundation in data science and/or marketing science, with significant experience in business analytics, marketing analytics, attribution modeling, marketing mix modeling, experimentation projects. Highly accomplished analytical professional with strong problem solving skills and great attention to detail. Proven track record of working with mid-market and enterprise brands across industries. Proven track record of managing teams and delivering results for customers. Excellent project management and account management capabilities, with exceptional customer communication and servicing skills Exceptional ability to communicate complex data science concepts in simple terms. Skilled in developing strategies that drive revenue and market share. Experienced in leveraging social media platforms for brand promotion and thought leadership. Ability to collaborate effectively with diverse global teams. Benefits Whats in it for you? As a team, we are concerned with not only the growth of the company but each others personal growth and well-being too. Along with our desire to utilize smart technology and innovative engineering strategies to make peoples lives easier, our team also bonds over our shared love for all kinds of tea, movies & fun-filled Friday events with a prioritizing healthy work-life balance. 1. Working for one of the fastest-growing and successful MarTech companies in times 2. Opportunity to be part of an early member of the core team to build a product from scratch starting from making tech stack choices, driving and influencing the way to simplify building complex products. 3. Enjoy working in small teams and a non-bureaucratic environment 4. Enjoy an environment that provides high levels of empowerment and space to achieve your objectives and growth with the organization. 6. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career. 7. Great benefits - apart from competitive compensation & benefits