Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a highly experienced Senior Data Scientist with a strong background in manufacturing, quality, and process optimization analytics. This role will focus on analyzing complex manufacturing and sensor data to drive measurable improvements in cost, quality, yield, and waste reduction. Key Responsibilities - Analyze large-scale manufacturing data, including sensor, batch, recipe, and production line data - Develop analytics solutions to identify defects, scrap, rework, and process deviations - Perform root cause analysis and multivariate process analysis to uncover drivers of quality issues - Build anomaly and defect detection models to proactively identify process failures - Partner with manufacturing, quality, and operations teams to translate findings into actionable improvements - Deliver measurable outcomes such as cost reduction, waste minimization, and quality improvement

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a highly experienced Senior Data Scientist with a strong background in manufacturing, quality, and process optimization analytics. This role will focus on analyzing complex manufacturing and sensor data to drive measurable improvements in cost, quality, yield, and waste reduction. Key Responsibilities - Analyze large-scale manufacturing data, including sensor, batch, recipe, and production line data - Develop analytics solutions to identify defects, scrap, rework, and process deviations - Perform root cause analysis and multivariate process analysis to uncover drivers of quality issues - Build anomaly and defect detection models to proactively identify process failures - Partner with manufacturing, quality, and operations teams to translate findings into actionable improvements - Deliver measurable outcomes such as cost reduction, waste minimization, and quality improvement

Title: Supply Chain Senior Data Scientist Location: Chicago, Illinois, United States of America Omaha, Nebraska, United States of America Job Description: Reporting to the Manager Data Science, you will lead analytics projects within defined areas of expertise by researching, collecting, analyzing, and interpreting data to identify trends and deliver insights with actionable recommendations. You will define information requirements and collaborate with technology partners to design and implement dashboards, automated solutions, and digital factory data products, including Digital Yield intelligence and engineering Center of Excellence enablement, to support Project Catalyst programs and advance a self‑service analytics culture. A Taste of Your Responsibilities - Lead Digital Yield intelligence initiatives, including the development and enablement of digital factory data products and the engineering Center of Excellence, to support Project Catalyst programs - Lead the creation and continuous improvement of analyses, reports, insights, dashboards, and future agent‑driven capabilities enabled by artificial intelligence for internal stakeholders and external customers - Lead complex data requests and analytics projects in partnership with the broader analytics and data science teams - Develop and deliver advanced reports, analyses, and dashboards that support informed decision‑making - Drive business integration and adoption of analytics tools, insights, and data products - Provide recommendations on analytical approaches, methodologies, and solution design - Collaborate across functions to elevate the visibility, impact, and brand of the analytics and data science teams across the enterprise Ingredients Required for Your Success - Bachelor's degree - Three or more years of experience in a data science or advanced analytics function, with Consumer Packaged Goods experience preferred - Experience delivering actionable business recommendations and partnering with cross‑functional stakeholders - Demonstrated track record of learning and applying modern analytics tools, technologies, and frameworks - Familiarity with a range of analytical and statistical models - Up to 30% travel to manufacturing locations, Omaha, NE & Chicago, IL offices #LI‑Remote #LI‑MSL #LI-PM2 Compensation Pay Range:$81,000-$118,000 The annual salary listed above is the expected offering for this position. An employee's actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees' equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees. Our Benefits We care about your total well-being and will support you with the following, subject to your location and role: - Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement - Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan - Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement - Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities Our Company At Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000+ person team across 40+ locations, you are empowered to reach your potential, make an impact and own your career. We're in the business of building champions - within our people and our iconic brands like Birds Eye, Slim Jim and Reddi-Wip. Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome. Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.

Title: Data Scientist (PHD Required) Location: Boston United States time type Full time job requisition id R-01291 Data Scientist Boston, MA Hybrid Schedule (M/F remote, T/W/TH in-office) At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we’re looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world’s largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day! About this team: We are looking for a highly talented and motivated Data Scientist. The Science team leads initiatives in audience solutions, traffic shaping, forecasting, pricing optimization, latency analysis, and a range of other strategic projects. We are looking for someone versatile, methodical, excited by modern technology, and who enjoys focusing on tackling data science challenges. In this role you will: - Research, experiment with, and prototype machine learning algorithms and statistical models for pattern recognition, trend analysis, optimization, and predictive modeling - Collaborate with Engineers to ensure scalable models that perform effectively on high-volume data and support deployment to production - Leverage big data technologies such as Hadoop and Spark to process large-scale datasets - Stay aligned with both client-driven and internal projects - Participate in and contribute to design and code reviews for data science projects - Develop a strong understanding of the ad tech business context to ensure data science solutions are relevant and impactful We’re looking for someone with: - A PhD in a quantitative discipline (e.g., mathematics, statistics, computer science, or engineering) - Strong understanding of predictive analytics, statistical modeling, and data mining—including theory, algorithms, and practical applications - Able to make intelligent approximations and design effective, practical, and scalable mathematical models - Ability to identify assumptions and limitations in models and algorithms, and assess their impact on reporting and decision-making - Proficiency in Python and SQL is required; experience with Scala is a plus - Familiarity with large language models is a plus In MA, the base salary range for this role is $125,000 – $135,000. Actual compensation will be determined based on location, experience, skills, and internal equity. This role is also eligible for: - Annual performance-based bonus - Equity (NASDAQ: MGNI) - Comprehensive benefits package During the interview process, candidates will receive more specific information about the salary range applicable to their experience and location. Perks and Benefits: - Comprehensive Healthcare Coverage from Day One - Generous Time Off - Holiday Breaks and Quarterly Wellness Days - Equity and Employee Stock Purchase Plan - Family-Focused Benefits and Parental Leave - 401k Retirement Savings Plan with Employer Match - Disability and Life Insurance - Cell Phone Subsidy - Monthly Fitness Reimbursement Career Growth: We support internal mobility, skill development, and leadership pathways through structured career frameworks and learning programs. Company Culture: Magnite’s culture is rooted in collaboration and connection, recognizing that both are essential to success. Our hybrid schedule includes two remote workdays (Monday and Friday) and three in-office days (Tuesday through Thursday), where employees can take advantage of catered lunches, beverages, snacks, training opportunities, and engaging office events that enhance the work experience. In addition, we support our team through meaningful benefits and programs, including community service and volunteer opportunities, company-matched charitable contributions, access to mental health resources, structured career development initiatives and growth frameworks, culture and inclusion programs, and our Bonusly peer-to-peer recognition platform. About Us The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC. Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class. Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite’s local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change. Want to learn more about us? Check out our blog for Magnite announcements and Ad Tech industry news! Recruiting Agency Notice Magnite does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.