Biostatistician jobs at Cargill

At Angi , we've had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need - and connecting pros with homeowners who have the jobs they want. Angi at a glance: Homeowners have turned to Angi for more than 300 million projects 1,000+ home service tasks covered 2,800 employees worldwide Why join Angi: Angi is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. About the role: Angi is seeking an exceptional Senior Data Scientist who can enable our transformation into a world-class online marketplace. The role is on our Data Science & Machine Learning team, tackling challenges such as search ranking, paid marketing optimization, and leveraging predictive models to enhance our product and consumer experience. What you'll do: Model Development & Data Strategy: Lead development of predictive models and algorithms to improve our Service Professional product and operations. Success in these areas will impact user experience & engagement, retention, and sales conversion rates - critical metrics for business success. Model Deployment: Implement robust MLOps practices to ensure the seamless deployment and scalability of predictive models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. Model Evaluation: Develop robust design of experiment and statistical frameworks to evaluate and measure the impact of your data science solutions. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, product managers, sales directors, and designers to build scalable and high-impact solutions. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced data science techniques from both industry and academia. Who you are: You have a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields). You have 5+ years of experience in data science & machine learning, ideally within the tech industry & marketplace environments. You are an expert in machine learning and statistical model development and have experience designing experiments to evaluate and measure the impact of your models. You have a proven track record of deploying highly impactful machine learning models into production environments. You are proficient in SQL and Python, and have experience with cloud ML solutions. You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Compensation & Benefits: The salary band for this position ranges from $150,000 to $220,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Retirement plan with company match (401K) and parental leave benefits The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world #LI-Remote #BI-Remote

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: The Senior Data Scientist will bring rigor to strategic initiatives across the Support Organization. As a Senior Data Scientist, you will be a core technical contributor to our Data Science and Analytics team with deep expertise in driving data-driven decision-making, data querying/munging, data visualization, and predictive analytics. You will work closely with Support, Product, and technical teams to translate business questions into quantitative analysis and deliver data-driven strategies. This role is open to candidates residing in the US except the San Francisco Bay Area (125 mi. radius from 1 De Haro St, San Francisco) and NYC Metro Area (50 mi. radius from 131 W 55th St, New York). You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact-helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations. You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win-together. In this role, you will: Translate data into strategic insights via memos, presentations, dashboards, etc. to support decision-making for operational and leadership teams Building analytical models to identify patterns, anomalies, and root causes (e.g., analyzing ticket data to proactively identify common customer issues) Design and run A/B and other experiments and tests to evaluate AI solutions Build relationships with technical and non-technical stakeholders to understand data structures and business priorities Leverage SQL, Python/R to shape and analyze data Build a strong sense of product and data acumen (e.g. customer experience, data logging) Stay connected to industry and academic research and adopt novel technology that suits Samsara's needs Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices Minimum requirements for the role: Advance degree in Statistics or other quantitative field (e.g., Applied Math, Engineering, Computer Science, Physics, etc.) 8+ years experience in a data-related role relevant (data science, data analyst, business analytics, business intelligence) Proficiency in data manipulation and processing in SQL, Python, and/or R Experience building statistical and other analytical models, preferably in Python or R Ability to communicate trends and learnings via data visualizations including Tableau Ability to effectively share project statuses and take ownership of tasks while handling competing priorities Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge Curious about our data, our product and excited to have an impact An ideal candidate also has: PhD in Statistics or other quantitative field Ability to scale models into automated pipelines A strong track record of cross-functional partnership Record of successful mentoring and development of team members Experience working with large datasets using distributed computing (e.g., Spark, Hive) The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience.$119,000-$200,000 USD At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Benefits Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, and much, much more. Take a look at our Benefits site to learn more. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email ********************************** or click here if you require any reasonable accommodations throughout the recruiting process. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in ‘@samsara.com' or ‘@us-greenhouse-mail.io'. For more information regarding fraudulent employment offers, please visit our blog post here.

We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The Network Value Data Science team is helping Plaid build an industry leading fintech consumer network by increasing access to, authorization for, and usability of Plaid's User's financial footprints. We embed within product teams to support OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision making approach everywhere we go. You'll be a data scientist supporting Network Enablement Access (NEA). In this role, you'll help build an industry-leading fintech consumer network by expanding access to, authorization for, and usability of Plaid users' financial footprints. You'll partner closely with embedded teams to support product goals and roadmaps, ensuring Plaid continues to deliver trusted, innovative, and scalable solutions that empower consumers to connect and use their financial data with confidence..Responsibilities Perform ad-hoc and strategic analyses to uncover opportunities for improved business outcomes and translate complex questions into actionable analytics projects. Design and maintain scalable data models and dashboards that increase visibility into core systems and drive operational excellence. Build and iterate on machine learning prototypes to power insight-driven products and unlock new sources of customer and business value. Define and track OKRs that quantify progress toward key business goals, ensuring alignment and accountability across teams. Design and analyze experiments to guide product decisions and optimize feature launches. Champion a data-first culture by promoting analytical rigor and evidence-based decision-making across the organization. Qualifications 5-7 years of experience as a Data Scientist or in a related analytics or data-focused role Strong track record of turning complex data into strategic insights and measurable business impact Proven ability to use experimentation, advanced analytics, and data storytelling to uncover opportunities that drive key product and business outcomes Strong technical foundation in SQL and Python for large-scale analysis, data modeling, and ML prototyping Experience developing and maintaining data pipelines and metrics frameworks using tools such as Airflow and dbt Background working with complex backend systems, ensuring data integrity, scalability, and operational reliability across platforms Skilled at partnering cross-functionally with product, engineering, and business teams to influence prioritization and strategy through clear, data-driven communication $174,000 - $260,400 a year The target base salary for this position ranges from $174,000/year to $260,400/year in Zone 1. The target base salary will vary based on the job's location. Our geographic zones are as follows:Zone 1 - New York City and San Francisco Bay AreaZone 2 - Los Angeles, Seattle, Washington D.C.Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San DiegoZone 4 - Raleigh-Durham and all other US cities Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected]. Please review our Candidate Privacy Notice here.

Johnson Controls is a global leader in smart, healthy, and sustainable buildings, serving customers in more than 150 countries. We create intelligent buildings, efficient energy solutions, integrated infrastructure, and next-generation transportation systems. What We Offer Competitive compensation including base salary and performance bonus Comprehensive benefits package (health, dental, vision, retirement) Professional development budget and learning opportunities Work on innovative AI/ML technology at global scale Collaborative culture with growth-oriented mindset Flexible work arrangements and work-life balance What you will do Johnson Controls is seeking a Senior Data Scientist with a strong practical background in deploying production-ready AI/ML solutions. This role focuses on developing advanced agentic AI systems, time series analytics, and signal processing capabilities to optimize our building technologies, HVAC systems, and industrial IoT platforms. This is a hybrid position (onsite 3 days per week) based in Glendale, WI. Candidates must be commuting distance, or able to relocate. How you will do it Design and deploy agentic AI systems that autonomously optimize building operations, energy consumption, and equipment performance Develop and implement advanced time series forecasting models for energy demand, equipment behavior, and operational patterns Apply signal processing techniques to analyze sensor data, detect anomalies, and extract meaningful patterns from noisy industrial environments Build end-to-end machine learning pipelines from data ingestion through model deployment and monitoring in production systems Lead predictive maintenance initiatives using ML models to forecast equipment failures and optimize maintenance schedules Collaborate with engineering and operations teams to translate business problems into practical data science solutions Mentor junior data scientists and establish best practices for model development and deployment What you will need Required Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or related field 7+ years of professional experience developing and deploying ML/AI solutions in industrial, IoT, or similar environments Experience delivering at least 2-3 production ML models with measurable business impact Agentic AI & Machine Learning Hands-on experience building agentic AI systems or autonomous decision-making algorithms Knowledge of reinforcement learning, multi-agent systems, or autonomous optimization frameworks Exposure to LLM-based agents, tool use, or reasoning frameworks for decision-making Solid understanding of supervised and unsupervised ML algorithms with deployment experience Time Series Analysis Experience with time series forecasting using methods like ARIMA, Prophet, LSTM, or similar approaches Hands-on work with seasonal patterns, trend analysis, and time series decomposition Experience applying time series techniques to real-world datasets (sensor data, energy consumption, etc.) Familiarity with handling missing data, outliers, and non-stationary time series Signal Processing Working knowledge of digital signal processing including filtering, FFT, and spectral analysis Experience processing sensor data from industrial equipment (vibration, temperature, pressure, acoustic signals) Ability to implement feature extraction from signal data and apply noise reduction techniques Understanding of frequency domain analysis and pattern detection in signals Strong proficiency in Python with ML libraries (scikit-learn, TensorFlow or PyTorch, XGBoost) Experience with signal processing libraries (scipy.signal, PyWavelets) Working knowledge of time series libraries (statsmodels, Prophet, or tslearn) Experience with at least one cloud platform (Azure preferred, AWS, or GCP) Solid SQL skills and familiarity with data streaming technologies (Kafka, MQTT) Version control with Git and basic MLOps practices Preferred Azure Machine Learning Experience with Azure Machine Learning workspace, automated ML, or deployment capabilities Familiarity with Azure ML pipelines, model registry, or managed endpoints Exposure to Azure Databricks, Azure Synapse Analytics, or Azure IoT Hub Basic knowledge of Azure DevOps for CI/CD or model versioning Genetic AI/Evolutionary Algorithms Exposure to genetic algorithms or evolutionary strategies for optimization problems Experience applying evolutionary computation for hyperparameter tuning or feature selection Interest in nature-inspired algorithms and optimization techniques Predictive Maintenance Experience contributing to predictive maintenance projects or failure prediction models Knowledge of remaining useful life (RUL) estimation or anomaly detection in equipment data Understanding of condition-based monitoring concepts Familiarity with maintenance optimization approaches HIRING SALARY RANGE: $115,000 - $155,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, location and alignment with market data.) This position includes a competitive benefits package. For details, please visit the About Us tab on the Johnson Controls Careers site at ***************************************** Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here.

Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster and Chamberlain , are found in 51+ million homes, and 14 million+ people rely on the myQ app daily. Job Summary This hands-on role is responsible for working closely with business partners to identify opportunities where the application of innovative data science techniques and methods can dramatically advance Chamberlain Group's business objectives. You will transform these priority opportunities into incremental business value by leading, managing, and coaching data scientists in the design, development, and deployment of solutions to support Chamberlain Group's transformation and rapid growth. This high visibility role works directly with senior leaders and has a tangible impact on the business. Essential Duties and Responsibilities Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals. Lead, manage, and coach highly technical data scientists, including identifying, recruiting, and onboarding new talent. Drive development and execution of the data science methodology and practices strategy. Lead technical engagements with business unit and function stakeholders, as well as senior leaders. Be a catalyst for advanced analytics and data science across Chamberlain Group. Educate business users on advanced analytical concepts. Work with various teams to drive the adoption of insights, models, and other output and the realization of incremental impact. Identify and apply innovative analytical techniques to achieve business objectives. Lead and directly engage in the design, development, and deployment of advanced analytics models and solutions, including predictive and prescriptive outputs, to enable business partners to make better data-driven decisions. Identify and manage the relationship with outside data science resources and vendors. Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams. Protect Chamberlain Group's reputation by keeping information confidential. Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies. Contribute to the team effort by accomplishing related results and participating on projects as needed. Supervision Exercised Motivate and lead a high performance team by attracting, developing, engaging and retaining team members Drive the performance management and compensation processes by communicating job expectations, monitoring and evaluating performance, providing feedback and facilitating employee development per the company's policies Maintain transparent communication by appropriately communicating organization information to team through department meetings, one-on-one meetings, appropriate email, IM and regular interpersonal communications Lead and motivate individuals and teams to create a workplace culture that is consistent with the CG mission, vision and values. Minimum Qualifications Education/Certifications: Master's Degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study Experience: 8+ years of relevant work experience; 2+ years directly managing data scientist Knowledge, Skills, and Abilities: Expert knowledge of statistics and advanced analytical and machine learning techniques, including forecasting, predictive modeling, network and cluster analysis Demonstrated aptitude distilling complex business problems into clear data science and advanced analytics models and solutions that can and will be adopted and implemented Ability to drive teams to success; ability to drive change and influence peers, leaders, collaborators, and individual contributors Expertise directing, developing, and applying machine learning algorithms Exceptional problem solving / analytical thinking skills Outstanding communication skills, teamwork and collaboration, and attention to detail Advanced expertise in Python, R, SQL Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure) Other: Preferred Qualifications Education/Certifications: Doctorate degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study Experience: Experience leading end-to-end data science project implementations working with Agile methodologies Experience in analytical consulting roles #LI-JM2 #LI-Hybrid The pay range for this position is $123,600.00 - $216,150.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies. Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We're proud to be an Equal Opportunity Employer, and you'll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We're committed to fostering an environment where people of all lived experiences feel welcome. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence **************************. NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.

We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Plaid's Data team is building data insights and models that improve how millions of users understand and grow their financial lives. We're looking for data scientists with experience applying state-of-the-art data analytics techniques to different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork. You'll be a data scientist as a part of the Data organization, contributing to diverse, high-impact data insights and machine learning challenges. Specifically, you will focus on driving business impact, and production directions through data analysis and potentially help evaluate and improve ML solutions and systems. If you're interested in building state-of-the-art Data/ML solutions to unblock financial freedom for everyone, let's chat!Responsibilities Applying your expertise in quantitative analysis, data mining, and data visualization to find insights for improving our API products Conducting large-scale A/B experiments Identifying useful signals that can be fed into machine learning models. Informing and influencing product and engineering teams through your data analysis and presentations Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid Championing a data-first approach toward decision-making across the entire organization. Qualifications 5+ years of industry experience in a product-focused Data Science role Deep familiarity with SQL and data visualization tools Experiencing conducting large-scale A/B experiments, analyzing results, and translating them into concrete recommendations Familiarity with the AWS stack Understanding of modern machine learning (ML) techniques, such as classification, clustering, optimization, deep neural network, and natural language processing Proven ability to tailor your solutions to business problems in a cross-functional team Ability to code and iterate independently in Python to conduct exploratory data analysis Experience building data pipelines in DBT or Airflow is a plus Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com. Please review our Candidate Privacy Notice here.

About Johnson Controls Johnson Controls is a global leader in smart, healthy, and sustainable buildings, serving customers in more than 150 countries. We create intelligent buildings, efficient energy solutions, integrated infrastructure, and next-generation transportation systems. What We Offer * Competitive compensation including base salary and performance bonus * Comprehensive benefits package (health, dental, vision, retirement) * Professional development budget and learning opportunities * Work on innovative AI/ML technology at global scale * Collaborative culture with growth-oriented mindset * Flexible work arrangements and work-life balance What you will do Johnson Controls is seeking a Senior Data Scientist with a strong practical background in deploying production-ready AI/ML solutions. This role focuses on developing advanced agentic AI systems, time series analytics, and signal processing capabilities to optimize our building technologies, HVAC systems, and industrial IoT platforms. This is a hybrid position (onsite 3 days per week) based in Glendale, WI. Candidates must be commuting distance, or able to relocate. How you will do it * Design and deploy agentic AI systems that autonomously optimize building operations, energy consumption, and equipment performance * Develop and implement advanced time series forecasting models for energy demand, equipment behavior, and operational patterns * Apply signal processing techniques to analyze sensor data, detect anomalies, and extract meaningful patterns from noisy industrial environments * Build end-to-end machine learning pipelines from data ingestion through model deployment and monitoring in production systems * Lead predictive maintenance initiatives using ML models to forecast equipment failures and optimize maintenance schedules * Collaborate with engineering and operations teams to translate business problems into practical data science solutions * Mentor junior data scientists and establish best practices for model development and deployment What you will need Required * Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or related field * 7+ years of professional experience developing and deploying ML/AI solutions in industrial, IoT, or similar environments * Experience delivering at least 2-3 production ML models with measurable business impact * Agentic AI & Machine Learning * Hands-on experience building agentic AI systems or autonomous decision-making algorithms * Knowledge of reinforcement learning, multi-agent systems, or autonomous optimization frameworks * Exposure to LLM-based agents, tool use, or reasoning frameworks for decision-making * Solid understanding of supervised and unsupervised ML algorithms with deployment experience * Time Series Analysis * Experience with time series forecasting using methods like ARIMA, Prophet, LSTM, or similar approaches * Hands-on work with seasonal patterns, trend analysis, and time series decomposition * Experience applying time series techniques to real-world datasets (sensor data, energy consumption, etc.) * Familiarity with handling missing data, outliers, and non-stationary time series * Signal Processing * Working knowledge of digital signal processing including filtering, FFT, and spectral analysis * Experience processing sensor data from industrial equipment (vibration, temperature, pressure, acoustic signals) * Ability to implement feature extraction from signal data and apply noise reduction techniques * Understanding of frequency domain analysis and pattern detection in signals * Strong proficiency in Python with ML libraries (scikit-learn, TensorFlow or PyTorch, XGBoost) * Experience with signal processing libraries (scipy.signal, PyWavelets) * Working knowledge of time series libraries (statsmodels, Prophet, or tslearn) * Experience with at least one cloud platform (Azure preferred, AWS, or GCP) * Solid SQL skills and familiarity with data streaming technologies (Kafka, MQTT) * Version control with Git and basic MLOps practices Preferred * Azure Machine Learning * Experience with Azure Machine Learning workspace, automated ML, or deployment capabilities * Familiarity with Azure ML pipelines, model registry, or managed endpoints * Exposure to Azure Databricks, Azure Synapse Analytics, or Azure IoT Hub * Basic knowledge of Azure DevOps for CI/CD or model versioning * Genetic AI/Evolutionary Algorithms * Exposure to genetic algorithms or evolutionary strategies for optimization problems * Experience applying evolutionary computation for hyperparameter tuning or feature selection * Interest in nature-inspired algorithms and optimization techniques * Predictive Maintenance * Experience contributing to predictive maintenance projects or failure prediction models * Knowledge of remaining useful life (RUL) estimation or anomaly detection in equipment data * Understanding of condition-based monitoring concepts * Familiarity with maintenance optimization approaches HIRING SALARY RANGE: $115,000 - $155,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, location and alignment with market data.) This position includes a competitive benefits package. For details, please visit the About Us tab on the Johnson Controls Careers site at *****************************************

At Clorox, we champion people to be well and thrive by doing the right thing, putting people at the center, and playing to win. Led by our IGNITE strategy, we build brands that make a positive difference in people's lives around the world. And we know that success requires head, heart, AND guts - all three, every day - coming together to work simpler, faster, bolder, and more inclusively. Interested? Join us to #IgniteYourCareer! Your role at Clorox: Clorox is transforming its data & technology capabilities and culture to accelerate purpose-driven business growth. We are looking for a passionate Data Scientist to join our team and help us build the future of forecasting and business planning. In this role, you will be responsible for developing and deploying forecasting models using a variety of techniques, including machine learning, statistics, and data mining. You will also be responsible for designing and implementing data pipelines to collect, clean, and prepare data for forecasting models. Forecasting team would drive this transformation through embedding predictive analytics and data science capabilities into the global decisions, empowering business units with scalable, reusable models. This position reports to Associate Director, Enterprise Analytics. In this role, you will: Deliver end-to-end analytics and data science solutions from idea conception through planning, requirements, design, development, testing, production, and deployment/business process integration Oversee the solution's ML Ops from a model standpoint, own the management of data & model drift Retrain the models regularly, upgrade the models and associated technical pipelines, such as addition of signals or adaptation of the models to a change in input source / format Do first line and second line model maintenance incl. advanced debugging whenever necessary; coordinate with engineers for specialized back-end and UI upgrades / debugging Collaborate with cross-functional stakeholders/SMEs throughout product solution lifecycle to ensure requirements are met and solutions are fully integrated in business processes to deliver value Evaluate existing and new data science tools and techniques, lead the development of data science best practices across the enterprise What we look for: 8 plus years of overall data science experience 3 plusyear business experience in a Data Science or Advanced Analytics role in the industry (must have demonstrated working with business units vs academic) Deep understanding and experience with advanced statistics, time series forecasting, machine-learning models, best practice application of data science in a business context (e.g., back-testing & piloting), model architecture, and use cases Experience in data management, e.g., wrangling, extraction, normalization Ability to build industrialized data pipelines Proficiency in SQL and Python (required) R / Scala Knowledge of big data framework like Spark is preferred Ability to navigate, collaborate and deliver production-grade code in a complex industrialized code base Experience with standard SDLC process and DevOps including version-control (GitHub/SVN) and CI/CD Experience using business intelligence tools like Power BI / Tableau Experience in Azure and Databricks are a plus Understanding of design and architecture principles is a plus Good communication and presentation skills: ability to synthesize, simplify, and explain complex problems to different audiences across functions and levels; ability to convey insight through storytelling Strong project management skills to stay on top of the timelines and deliverables Autonomy and creativity with an ability to design suitable technical solutions to solve business problems Bachelor's degree in Statistics, Data Science, Applied Mathematics, Computer Science, Business Analytics, or related quantitative disciplines (Master's degree preferred) Workplace type: Hybrid or Remote We seek out and celebrate diverse backgrounds and experiences. We're looking for fresh perspectives, a desire to bring your best, and a non-stop drive to keep growing and learning. At Clorox, we have a Culture of Inclusion. We believe our values-based culture connects to our purpose and helps our people be the best versions of themselves, professionally and personally. This means building a workplace where every person can feel respected, valued, and fully able to participate in our Clorox community. Learn more about our I&D program & initiatives here. [U.S.]Additional Information: At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates' unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility / adoption benefits, and more. We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area. -Zone A: $116,700 - $229,800-Zone B: $107,000 - $210,700-Zone C: $97,200 - $191,500All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process. This job is also eligible for participation in Clorox's incentive plans, subject to the terms of the applicable plan documents and policies. Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times.

Requisition ID # 167320 Job Category: Accounting / Finance Job Level: Individual Contributor Business Unit: Electric Engineering Work Type: Hybrid Job Location: Oakland; Alameda; Alta; American Canyon; Angels Camp; Antioch; Auberry; Auburn; Avenal; Avila Beach; Bakersfield; Balch Camp; Bay Point; Bear Valley; Belden; Bellota; Belmont; Benicia; Berkeley; Brentwood; Brisbane; Buellton; Burney; Buttonwillow; Calistoga; Campbell; Canyon Dam; Canyondam; Capitola; Caruthers; Chico; Clearlake; Clovis; Coalinga; Colusa; Concord; Concord; Corcoran; Cottonwood; Cupertino; Daly City; Danville; Davis; Dinuba; Downieville; Dublin; Emeryville; Eureka; Fairfield; Folsom; Fort Bragg; Fortuna; Fremont; French Camp; Fresno; Fresno; Fulton; Garberville; Geyserville; Gilroy; Goodyear; Grass Valley; Guerneville; Half Moon Bay; Hayward; Hinkley; Hollister; Holt; Houston; Huron; Jackson; Kerman; King City; Lakeport; Lemoore; Lincoln; Linden; Livermore; Lodi; Loomis; Los Banos; Lower Lake; Madera; Magalia; Manteca; Manton; Mariposa; Martell; Marysville; Maxwell; Menlo Park; Merced; Meridian; Millbrae; Milpitas; Modesto; Monterey; Montgomery Creek; Morgan Hill; Morro Bay; Moss Landing; Mountain View; Napa; Needles; Newark; Newman; Novato; Oakdale; Oakhurst; Oakley; Olema; Orinda; Orland; Oroville; Palo Alto; Palo Cedro; Paradise; Parkwood; Paso Robles; Petaluma; Pioneer; Pismo Beach; Pittsburg; Placerville; Pleasant Hill; Point Arena; Potter Valley; Quincy; Rancho Cordova; Red Bluff; Redding; Richmond; Ridgecrest; Rio Vista; Rocklin; Roseville; Round Mountain; Sacramento; Salida; Salinas; San Bruno; San Carlos; San Francisco; San Francisco; San Jose; San Luis Obispo; San Mateo; San Rafael; San Ramon; San Ramon; Sanger; Santa Cruz; Santa Maria; Santa Nella; Santa Rosa; Selma; Shaver Lake; Sonoma; Sonora; South San Francisco; Springville; Stockton; Storrie; Taft; Tracy; Turlock; Twain; Ukiah; Vacaville; Vallejo; Walnut Creek; Wasco; Watsonville; West Sacramento; Wheatland; Whitmore; Willits; Willow Creek; Willows; Windsor; Winters; Woodland; Yuba City Department Overview The System Performance, Reliability and Resiliency Strategy team within the overall Electric Transmission and Distribution Engineering organization is responsible for planning, organizing, and managing the resources necessary to successfully execute PG&E's Electric Reliability Strategy and initiatives. This team of forward-thinking individuals will be tasked with deploying technology and infrastructure and influencing the organization to achieve the company's reliability goals. The team is responsible for implementing programs required to modernize the electric grid allowing for safe, resilient and efficient operations. The team participates in a cross functional team of internal and consulting participants being tasked with leading the transition of a project from development and testing to being operational for each phase of each project. Position Summary Within the System Performance, Reliability and Resiliency Strategy team, this position reports to the Senior Manager of Reliability Analytics and is responsible for developing advanced data science models and industry-leading anomaly detection techniques to identify potential failures and enhance the reliability of the electric transmission and distribution grid. Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes. The goal is to generate defensible, valid, scalable, reproducible, and well-documented machine learning and artificial intelligence models (predictive or optimization) to support problem-solving and strategic decision-making. The role also involves active participation in internal and external communities of practice in data science, AI, and machine learning to stay current and contribute to advancements in the field. Additionally, the candidate will help educate non-technical stakeholders on the benefits, limitations, and maturity of data science solutions. In this role, the successful candidate will be uniquely positioned at the forefront of utility industry analytics. Working as part of cross-functional teams, including data engineers, data scientists, technologists, and subject matter experts - this individual will lead the development of data science capabilities that could lead to paradigm changes in how the utility operates. * This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory. PG&E is providing the salary range that can reasonably be expected for this position at the time of the job posting. This salary range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The decision will be made on a case-by-case basis related to these factors. This job is also eligible to participate in PG&E's discretionary incentive compensation programs. Bay Area - $126,000 - 179,300 &/OR California: $120,000 - 170,500 Job Responsibilities * Lead research and development of state-of-the-art methodologies to detect potential system failures and improve the reliability of the electric transmission and distribution grid. * Applies data science/ machine learning /artificial intelligence methods to develop scalable, defensible and reproducible models, * Serves as the technical lead for the development of predictive/reliability analytics models. * Develops python codes for data processing and data science model developments (e.g., ML/AI models, advanced statistical models) * Documents datasets, modeling processes, and result to ensure transparency, reproducibility, and defensibility. * Contribute to the development of data science strategies aligned with system performance, reliability, and resiliency team goals. * Communicate technical concepts and model results to internal/external stakeholders. Qualifications Minimum: * Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field * 4 years in data science OR 2 years, if possess Master's Degree, as described above Desired: * Ph.D. or Master's degree in Electrical Engineering, Mechanical Engineering, Operations Research, Transportation Engineering, Physics, Applied Sciences, Statistics, or a related field. * Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience * Strong foundation in statistics, machine learning (ML), and artificial intelligence (AI). * Hands-on and theoretical experience in developing and deploying data science and ML models using Python. * Proven ability to formulate and solve unstructured, complex problems using data-driven approaches. * Proficiency in working with large datasets, including structured and unstructured data from diverse sources. * Excellent communication skills, with the ability to explain technical concepts to non-technical audiences. * Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies

Title: Senior Data Scientist for a Stanford Startup Full Time Job Requirements: A minimum of three years of experience working as a data scientist Experience in working with large data sets Strong experience in machine learning Highly conversant with Bayesian type algorithms, KNN, Neural Networks, SVM, etc Experienced in applying data science techniques on multiple industries and exposure to their sets is necessary Data cleanup, and data massaging experience Hands-on experience with R or Python type languages Any experience in doing well at Kaggle type competitions is a big plus Additional Information All your information will be kept confidential according to EEO guidelines.

LMI is seeking a seasoned Lead Data Scientist to spearhead the development, testing, and deployment of machine learning (ML) models. These models are crucial for encapsulating extensive discrete event simulation data, aiding a critical supply chain risk program for the Department of Defense. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Direct a dynamic team of data scientists to swiftly develop and implement ML meta models that encapsulate numerous simulated scenarios across a vast inventory of weapon system components Apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs Adapt and enhance established, sophisticated supervised ML models employing tools such as Python, PySpark, and MLflow Utilize meta models to facilitate optimization modeling, employing methods such as linear programming and heuristic approaches Mentor and lead the team towards enhancing automation, efficiency, and accuracy of meta modeling and optimization solutions Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem Collaborate closely with peer technical leads to identify priorities, risks and solutions Operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks Manage data science initiatives, ensuring effective coordination and prioritization across multiple team engagements Engage with cutting-edge data science techniques to address complex, large-scale data challenges Qualifications Masters degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience Minimum of 10 years' experience in a data science capacity Extensive experience applying Agile methodologies Demonstrates expert-level skills in Python and Spark, with a strong command of cloud-based platforms such as Databricks, enhancing collaborative development and large-scale data processing Deep knowledge and practical experience with delivering sophisticated data analysis and machine learning solutions using Python Well-versed in using MLflow and comparable tools Familiarity with Qlik, React or other data visualization platforms Robust analytical, conceptual, and problem-solving skills Active DoD Secret clearance required; Top Secret clearance preferred Target salary range: $104,040 - $183,600 Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Vertiv is seeking a Sr. Data Scientist & Algorithm Developer to lead our Advanced Thermal Controls Algorithm Development efforts. This position understands and follows the new product development process and leads the ideation, design, testing and troubleshooting of Advanced Thermal Controls Logic and Algorithms. The Sr. Data Scientist & Algorithm Developer supports the Global Thermal Management business. This position interacts with and supports Global Design, Test Engineering, Thermal Controls, and Quality teams. Responsibilities: Creating Algorithm test plans and executing the plan either through simulated bench or lab environments. Owner of Thermal Controls Algorithm development, testing and verification in Thermal Controls Labs. Compilation and advanced analysis of test data with a focus on model development. Ideation, development, verification, and handoff of advanced algorithms and logic utilizing AI/ML methods for optimization, conditional based maintenance (predictive diagnostics), and/or operational excellence related to Thermal HVAC equipment to the Thermal Controls Development team. Algorithm scope includes single component, single device, multi-device systems and multi-systems. Familiarity with ML/AI technologies and a solid understanding of machine learning fundamentals, including MLP, CNN, SNN models, normalization and activation functions, forward/back propagation, and associated mathematics. Lab testing for verification of benefits and presentation of these results to the Product Management teams. Assist the Thermal Controls Development team in integrating algorithms into Controls architecture and platforms. Assisting in roadmap generation and resource plans specifically for Thermal Controls Algorithm development. Participates in sustaining activities for existing algorithms including diagnosis and resolution of related defects. Responsible for keeping excellent, organized project records and documentation. Product testing: Unit testing, system integration testing, and field-testing support Leadership: Effective lead engineer, consistent positive attitude, creativity, accepts broad responsibility Other tasks and activities as required by management Requirements: Bachelor's Degree/Master's Degree (MS or higher) or foreign equivalent with strong emphasis on software: Computer Science, Controls Engineering, Data Science/Engineering, Software Engineering, Electrical/Mechanical Engineering; Preferred engineer with PhD and industrial experience. At least 5 years related experience Required expertise with HVAC, data manipulation and algorithm design: HVAC experience (5 years) Experience with data manipulation, data modeling and analysis Experience with real HVAC testing (propose, execute, evaluate) Experience with control design, numerical optimization, machine learning, artificial intelligence Experience with development and implementation of complex mathematical algorithms Preferred expertise with software programming languages including but not limited to: Matlab, Simulink, Python, C/C++ MySQL Server, SQL TensorFlow, Keras, Scikit-learn, PyTorch, Nvidia AI Labs LabView and associated Data Acquisition systems and protocols Familiarity with software development environments and tools: Git, GitHub, GitLab, Rally, Code Composer Studio™ IDE, ST32CubeIDE™, and Eclipse IDE toolsa plus Fluent in English Up to 10% travel The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities. OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion. OUR STRATEGIC PRIORITIES • Customer Focus • Operational Excellence • High-Performance Culture • Innovation • Financial Strength OUR BEHAVIORS • Own It • Act With Urgency • Foster a Customer-First Mindset • Think Big and Execute • Lead by Example • Drive Continuous Improvement • Learn and Seek Out Development About Vertiv Vertiv is a $8.0 billion global critical infrastructure and data center technology company. We ensure customers' vital applications run continuously by bringing together hardware, software, analytics and ongoing services. Our portfolio includes power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus, Ohio, USA, Vertiv employs around 20,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more. Work Authorization No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. Equal Opportunity Employer Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to ********************.

Aurora is working to deliver the benefits of self-driving technology safely, quickly, and broadly. We are searching for a Senior Safety Data Scientist to support the development of quantitative safety arguments and tooling infrastructure. You will apply statistical analysis, machine learning, and probabilistic modeling to inform safety strategy and support external safety communications. You will collaborate with stakeholders across software, systems, hardware, data science, data infrastructure, operations, product, legal, and government relations to shape the future of autonomous vehicle safety. In This Role, You Will: Design and deploy safety related data pipelines, models, tooling, and infrastructure in partnership with technical and non-technical stakeholders. Execute in-depth safety analysis on operational and simulation data, distilling complex findings into immediate, actionable risk mitigation strategies. Implement safety-related initiatives in alignment with safety goals and best practices. Develop safety related processes and reporting for organizational, operational, and product data to ensure accuracy and consistency. Support the identification of systemic, latent, and emerging risks in fleet operations to advance root cause analyses and implement appropriate risk management measures. Define and evolve safety metrics by designing and validating novel measures using hypothesis testing and exploratory analysis. Audit and validate technical safety evidence and artifacts spanning the breadth of self-driving technology (hardware, software, and operations) to ensure alignment with quantitative safety arguments and regulatory standards through enterprise tool suites Conduct root cause analysis for safety issues and support the formulation of specific, data-backed corrective actions. Lead the quantitative development of internal and external reports (e.g., Voluntary Safety Self Assessment) and public statements, ensuring safety arguments are statistically robust. Present and expertly communicate the output of technical analysis to both technical and non-technical audiences. Development of new processes and procedures related to safety metrics, data integrity, and issue handling. Required Qualifications Bachelor's/Master's degree in Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent technical experience. 5+ years of industry experience solving complex problems Proficiency in programming languages such as Python and R Experience building and deploying models using Amazon Web Services (AWS) tools, e.g. AWS Bedrock, Redshift Experience working with data transformation tools such as DBT Knowledge and experience with relational databases (SQL) and data warehouses Strong skills for querying, analyzing, and visualizing large datasets Expertise in applied statistics, exploratory data analysis, hypothesis testing, and probabilistic modeling Experience in machine learning techniques Effective written and verbal communication skills to present work with, and present technical analysis to, both technical and non-technical audiences Ability to work independently and as part of a cross-functional team Desirable Qualifications Experience working in a safety-related domain Knowledge of automotive domain and relevant safety standards Experience in the Autonomous Vehicles, Aerospace, or Robotics domains The base salary range for this position is $146,000 - $211,500 per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. #LI-SP1 #Mid-Senior

Analyzes data requirements, application and processing architectures, data dictionaries, and database schema(s). Designs, develops, amends, optimizes, and certifies database schema design to meet system(s) requirements. Gathers, analyzes, and normalizes relevant information related to, and from business processes, functions, and operations to evaluate data credibility and determine relevance and meaning. Develops database and warehousing designs across multiple platforms and computing environments. Develops an overall data architecture that supports the information needs of the business in a flexible but secure environment. Develops reports and provide them to clients via Reporting Services/SharePoint. Performs other related duties as assigned. Qualifications Top skills/preferences in the role (please include any relevant technologies needed): Experience with: - SQL Server Integration Services (SSIS) - SQL Server Reporting Services (SSRS) - SQL Server Analysis Sevices (SSAS) - Debugging / development of SQL scripts - Bachelor's degree in Computer Science, Information Systems or the equivalent combination of education, training, or work experience Additional Information All your information will be kept confidential according to EEO guidelines. **Please let me know if you might someone to refer or if you are interested for the role. **Please reply with an updated copy of your resume and preferred time for a call. **You can call me back at ************ .

Job Description Title: Senior Data Scientist Reports to: VP Credit Decision Sciences About the Company At BMG Money, our mission is to provide access to affordable and responsible credit for underserved consumers facing unexpected expenses. We all share one vision- Redefining lending through technology, where underserved individuals can thrive financially through forward-thinking, responsible, and innovative financial solutions. Job Summary We are seeking an experienced and highly capable Data Scientist to join our team at BMG Money. This senior-level career role is crucial for transforming large, complex datasets into strategic insights that drive decision-making across various functions. The successful candidate will be responsible for independently developing, validating, and supporting the implementation of predictive models, machine learning algorithms, and advanced dashboards. This role requires strong technical mastery and the ability to work collaboratively to deliver high-impact solutions. Key Responsibilities Develop, validate, and support the deployment of predictive models and machine learning algorithms, ensuring they meet rigorous standards for accuracy and business relevance. Collect, process, and analyze massive volumes of structured and unstructured data, providing technical expertise within key data domains. Design and deliver insightful dashboards, reports, and data visualizations for business, product, and technology stakeholders, clearly articulating findings and their implications. Proactively identify patterns, trends, and business opportunities hidden within the data, translating findings into proposed solutions and actionable analysis. Support other data-driven projects such as fraud detection and portfolio analysis. Ensure compliance with regulatory requirements and internal policies related to credit risk modeling. Collaborate closely with product, engineering, and business teams to integrate data-driven solutions into production systems. Ensure the quality, consistency, and integrity of all utilized datasets and contribute to establishing best practices for data quality. Mentor junior data analysts on best practices for data cleaning, modeling techniques, and analytical rigor. Research, evaluate, and apply new data analysis techniques, tools, and technologies (e.g., cloud platforms, new programming libraries). Stay current with the latest technological advancements in the Data Science field to recommend process and equipment improvements. Provide hands-on support and guidance to junior analysts, ensuring access to high-quality, well-structured data sources. Support the manager on all related matters, discussing complex issues and recommending well-researched solutions to inform procedural and strategic actions. Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. Minimum of 4+ years of professional experience in data analysis, data modeling, and validation of analytical models in the financial services industry. Advanced SQL proficiency (writing complex, optimized queries) Business Intelligence (BI) tools (e.g., Tableau, Power BI, Looker) Advanced Statistical and Mathematical aptitude with experience in experiment design (e.g., A/B testing) Advanced proficiency in Python or R and their data science ecosystems (e.g., Pandas, Scikit-learn). Advanced Microsoft Excel Strong Critical Thinking and Analytical Skills • Demonstrated Decision-Making Capacity Excellent Communication and Presentation Skills (ability to present technical findings clearly to a business audience) Strong Organizational and Planning Skills Proven ability to work effectively in a team environment and mentor peers/junior staff. Preferred Qualifications Master's degree or post-graduate specialization in a relevant field. Experience with Credit Risk Management. Prior experience contributing to model deployment/MLOps processes. Advanced English proficiency (for documentation/global teams). Familiarity with cloud platforms (AWS, Azure, or GCP). Foundational understanding of credit risk management

About the role: The Senior Data Scientist will bring rigor to strategic initiatives across the Support Organization. As a Senior Data Scientist, you will be a core technical contributor to our Data Science and Analytics team with deep expertise in driving data-driven decision-making, data querying/munging, data visualization, and predictive analytics. You will work closely with Support, Product, and technical teams to translate business questions into quantitative analysis and deliver data-driven strategies. This role is open to candidates residing in the US except the San Francisco Bay Area (125 mi. radius from 1 De Haro St, San Francisco) and NYC Metro Area (50 mi. radius from 131 W 55th St, New York). You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact-helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations. You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win-together. In this role, you will: Translate data into strategic insights via memos, presentations, dashboards, etc. to support decision-making for operational and leadership teams Building analytical models to identify patterns, anomalies, and root causes (e.g., analyzing ticket data to proactively identify common customer issues) Design and run A/B and other experiments and tests to evaluate AI solutions Build relationships with technical and non-technical stakeholders to understand data structures and business priorities Leverage SQL, Python/R to shape and analyze data Build a strong sense of product and data acumen (e.g. customer experience, data logging) Stay connected to industry and academic research and adopt novel technology that suits Samsara's needs Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices Minimum requirements for the role: Advance degree in Statistics or other quantitative field (e.g., Applied Math, Engineering, Computer Science, Physics, etc.) 8+ years experience in a data-related role relevant (data science, data analyst, business analytics, business intelligence) Proficiency in data manipulation and processing in SQL, Python, and/or R Experience building statistical and other analytical models, preferably in Python or R Ability to communicate trends and learnings via data visualizations including Tableau Ability to effectively share project statuses and take ownership of tasks while handling competing priorities Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge Curious about our data, our product and excited to have an impact An ideal candidate also has: PhD in Statistics or other quantitative field Ability to scale models into automated pipelines A strong track record of cross-functional partnership Record of successful mentoring and development of team members Experience working with large datasets using distributed computing (e.g., Spark, Hive)

Dreaming big is in our DNA. It's who we are as a company. It's our culture. It's our heritage. And more than ever, it's our future. A future where we're always looking forward. Always serving up new ways to meet life's moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together - when we combine your strengths with ours - is unstoppable. Are you ready to join a team that dreams as big as you do? Job Title: Senior Data Scientist - GBS Commercial Location: Bangalore Reporting to: Senior Manager - GBS Commercial PURPOSE OF ROLE We are seeking an experienced Senior Data Scientist and People Manager to lead the development of data-driven products and analytical solutions supporting our sales and business operations. This role is critical in designing, building, and scaling robust data science and machine learning solutions that directly impact business outcomes. The ideal candidate will combine deep technical expertise with proven people management skills and a track record of building, mentoring, and leading high-performing teams KEY TASKS AND ACCOUNTABILITIES Data Science & Product Leadership: * Lead the end-to-end design, development, and deployment of data products, predictive models, and analytics solutions tailored to business needs. * Drive the roadmap for data science initiatives, from ideation through to production and ongoing enhancement. * Collaborate with engineering and product teams to integrate machine learning models and analytics into scalable products. People Management & Team Development: * Manage, mentor, and develop a team of data scientists, analysts, and engineers, fostering a high-performance, inclusive culture. * Oversee performance management, career development, and upskilling initiatives within the team. * Set clear objectives, provide constructive feedback, and guide team members towards excellence. Collaboration & Stakeholder Management: * Work closely with stakeholders across different teams to understand business requirements and translate them into scalable technical solutions. * Engage with end users to gather feedback, iterate on features, and improve application usability. * Provide training, support, and troubleshooting to ensure smooth adoption and usage of applications. * Partner closely with cross-functional stakeholders (Sales, Marketing, IT, Operations) to understand business requirements and translate them into actionable analytics and product solutions. * Present insights and recommendations to senior leadership, enabling data-driven decision making Process Improvement & Innovation: * Continuously monitor application performance, identify bottlenecks, and implement optimizations for better efficiency and scalability. * Propose new features and enhancements to improve user experience and streamline business processes. Documentation & Reporting: * Maintain comprehensive technical documentation, including data/model pipelines, architecture diagrams, and user guides. * Develop and share reports, dashboards, and presentations that communicate business impact and technical findings Support & Troubleshooting: * Provide ongoing technical support for deployed solutions, including debugging, performance tuning, and version control. * Ensure system stability, security, and compliance with relevant data governance standards. Preferred Skills & Technologies: * Programming: Python (Pandas, scikit-learn, PySpark), SQL * Machine Learning: End-to-end ML model development & deployment * Data Engineering: ETL pipelines, data modeling, Spark/Airflow (preferred) * API/Product Development: Flask/FastAPI, integration with business applications * Cloud & DevOps: AWS/Azure/GCP, Docker, CI/CD (GitHub Actions, Jenkins) * Databases: PostgreSQL, MySQL, NoSQL (desirable) * Version Control: Git, collaborative workflows * Visualization: Power BI, Tableau, or similar (preferred) * Storytelling with Data: Ability to convey insights through impactful data visualizations and clear narratives * Good to have: Experience with LLMs, GenAI, or agent frameworks BUSINESS ENVIRONMENT * Cross-Functional Collaboration: * Work with internal stakeholders across all business zones, including sales, marketing, IT, and operations, to understand requirements and ensure solutions are aligned with business goals. * Stakeholder Management: * Develop strong relationships with stakeholders and become a trusted advisor on all matters related to Power Apps and Power Pages. * Must have excellent communication skills to handle multiple priorities and stakeholders effectively. * Proactiveness & Adaptability: * Strong sense of initiative and the ability to work independently while being proactive in identifying and addressing potential issues or improvements. * Demonstrates adaptability to changes in business needs and technological advancements.

Fictiv Exists to Enable Hardware Innovators to Build Better Products, Faster Fictiv exists to help product innovators create. Fictiv is a global manufacturing and supply chain company that enables organizations to scale globally across Fictiv's four global manufacturing centers in India, Mexico, China, and the U.S.. Companies use Fictiv to access high-quality production, optimize supply chain logistics, and mitigate supply chain risk-ensuring they can move from prototype to full-scale manufacturing with speed and confidence. To date, Fictiv has delivered more than 35 million commercial and prototype parts for industries such as aerospace, robotics, automotive, climate tech, and more, helping them innovate faster, free up precious resources, and drive profitable growth. **This role is based in our Oakland, CA office, with 2-3 days per week required in the office** Impact In This Role As a Senior Data Scientist, you will be a key driver in identifying and solving complex business challenges using data. You will partner with stakeholders across Operations, Supply Chain, Finance, Product, and Engineering to define problems, explore opportunities for optimization, and design data science solutions that improve efficiency, scalability, and profitability. You'll take projects from ideation through deployment - including data exploration, feature engineering, model development, validation, and integration into production workflows. This is a hands-on, impact-oriented role where you will work directly with business and technical partners to develop predictive models, optimization frameworks, and AI-driven tools that enhance Fictiv's core operations - from scheduling and vendor capacity management to pricing, costing, and workflow automation. You'll also ensure that data science initiatives are built on sound statistical foundations, follow best practices, and deliver meaningful, interpretable outcomes. In addition, you'll collaborate with the Data Analytics Manager and the broader Data Engineering & Analytics team to scale Fictiv's data capabilities. You'll mentor peers, contribute to the development of shared methodologies, and help establish standards for modeling, experimentation, and data quality across the organization. Your work will directly influence Fictiv's ability to operate more efficiently, innovate faster, and deliver value to both customers and manufacturing partners. You will report to the Data Analytics Manager. What You'll Be Doing Lead the scoping, planning, and delivery of high-impact data science projects that address complex business challenges across pricing, supply chain, scheduling, and manufacturing operations Serve as the subject matter expert on data-driven modeling and machine learning techniques Design, develop, and deploy predictive and prescriptive models that enable smarter decision-making, improve forecasting accuracy, and drive automation across business workflows Partner with cross-functional leaders in Operations, Finance, Product, and Engineering to identify opportunities where data science can create a measurable impact and translate those opportunities into scalable solutions Contribute to the standardization of data science best practices, including model governance, experimentation design, and statistical validation frameworks Guide the organization in applying proper statistical standards to A/B and multivariate tests, ensuring experiments are well-designed, results are accurately interpreted, and findings are reproducible and actionable Partner with the AI Research Group to prototype and implement AI-driven solutions to improve workflow efficiency, including intelligent pricing systems, predictive maintenance, and process automation Prepare, clean, and transform complex datasets to support advanced modeling and AI initiatives, including generating synthetic, anonymized, or simulated data as needed to train or validate machine learning and reinforcement learning systems Collaborate with Data Engineering to ensure high-quality, reliable data pipelines and feature sets that support advanced analytics and model development Mentor and guide analysts and junior data scientists, helping elevate modeling rigor, data storytelling, and analytical thinking across the organization Work closely with product managers and engineering teams to integrate data science capabilities into Fictiv's digital platform and operational tools Communicate results clearly and effectively to both technical and non-technical stakeholders, providing actionable insights and recommendations that influence strategic decisions Document modeling approaches, assumptions, and methodologies to ensure reproducibility and transparency of results Thrive in a collaborative environment - open to feedback, discussion, and iteration in pursuit of the best solutions Desired Traits M.S. in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative field (Ph.D. preferred) 10+ years of experience in data science and machine learning with a proven track record of delivering measurable business impact Hands-on experience with machine learning algorithms (e.g., regression, classification, clustering, forecasting, reinforcement learning) and model evaluation frameworks Hands-on experience preparing and curating datasets for machine learning or AI research, including cleaning, transformation, labeling, and creation of synthetic or anonymized data for model training or simulation purposes Demonstrated experience in experimental design, hypothesis testing, and A/B test evaluation, with a clear understanding of sampling, control groups, and significance testing in applied business contexts Demonstrated expertise in Python (pandas, numpy, scikit-learn, etc.) and SQL, with the ability to design efficient data pipelines and feature engineering workflows Strong background in data exploration, feature engineering, and model validation, with the ability to design experiments and evaluate model performance rigorously Demonstrated skill in developing and operationalizing ML-driven solutions that enhance business workflows while ensuring models are interpretable and scalable Experience working with modern data platforms such as Snowflake, Fivetran, or dbt, and integrating models into BI or operational systems (e.g., Sigma, Tableau, Power BI) Strong understanding of data warehousing concepts, dimensional modeling, and data governance principles Demonstrated ability to perform root cause analysis and use data-driven reasoning to identify opportunities for process improvement or risk mitigation Experience developing predictive and prescriptive models for pricing, demand forecasting, workflow automation, or vendor performance optimization is highly desirable Demonstrated ability to perform root cause analysis and use data-driven reasoning to identify opportunities for process improvement or risk mitigation Experience applying advanced analytics, predictive modeling, or optimization techniques within manufacturing, supply chain, logistics, or operations-focused environments is a plus Demonstrated ability to translate ambiguous business problems into structured data science solutions, from hypothesis through implementation Working knowledge of data and analytics architecture, data warehousing concepts, and data governance best practices Proven ability to lead and coordinate cross-functional initiatives, communicating effectively with engineering, product, and business stakeholders Familiarity with operations research techniques (linear programming, simulation, constraint optimization) and their application to scheduling, resource allocation, and capacity management is a plus Ability to manage multiple projects simultaneously, operate independently, and thrive in a fast-paced, collaborative environment Excellent leadership and collaboration skills, with experience mentoring junior data scientists or analysts and leading large, cross-functional initiatives Passionate about learning new technologies, staying current with emerging AI methods, and applying them pragmatically to create business value Excellent communication skills - able to present technical findings clearly to both executives and technical audiences Ability to work effectively across time zones and communicate fluently in professional English, both written and verbal Travel Ability to travel and work in an office up to 50% of the time Physical Demands The physical demands described here are representative of those that an employee must meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions. While performing this job, the employee must sit, walk, talk, and hear; use hands to type, fingers to handle, and feel; stoop, kneel, crouch, twist, crawl, reach, and stretch. Salary Range: $220,000 to $240,000 per year Interested in learning more? We look forward to hearing from you soon. About Fictiv Fictiv is transforming how the next rockets, self-driving cars, and life-saving robots are designed, developed, and delivered to customers around the world. People who succeed at Fictiv are talented, creative, and driven to achieve professional excellence and support our vision to help product innovators create. We're actively seeking teammates who: Bring diverse perspectives and experience to our culture and company. Excel at being part of a strong, empathetic team. Thrive in an environment emphasizing respect, honesty, collaboration, and growth. Have an ‘always learning' mindset that celebrates learning, not just wins. Help us continue to build a world-class organization that values the contributions of all of our teammates We encourage applications from members of underrepresented groups, including but not limited to women, members of the LGBTQ community, people of color, people with disabilities, and veterans.

At Vast, our mission is to contribute to a future where billions of people are living and thriving in space. We are building artificial gravity space stations, allowing long-term stays in space without the adverse effects of zero-gravity. Our initial crewed space habitat will be Haven-1, scheduled to be the world's first commercial space station when it launches into low-Earth orbit in 2026. It is part of our stepping stone approach to continuous human presence in LEO. Our team is all-in, committed to executing our mission safely and on time. If you want to work with the most talented people on Earth furthering space exploration for humanity, come join us. Vast is looking for a Senior Lathe Programmer, reporting to the E-2 Principal Engineer, to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations. This will be a full-time, non-exempt position located in our Hawthorne facility. This role will specifically support the Launcher E-2 liquid rocket engine program. Vast has the ambitious goal for E-2 to be the world's highest-performing engine for small launchers, optimized for mass production and low cost. You will be a key team member helping complete the development of our E-2 engine into a reliable, high-performance product. We are seeking a skilled and experienced Senior Programmer to join our team to machine E-2 parts and tools. You will play a crucial role in the development, fabrication, maintenance, and repair of various tools, jigs, and fixtures used in our production processes. Your precision, attention to detail, and ability to work with a variety of materials and machinery will contribute to the efficiency and quality of our manufacturing operations. Responsibilities: Proficiency in Mastercam for turning centers. Design, develop, and manufacture tools, dies, jigs, fixtures, molds, and other equipment required for production, ensuring they meet exacting specifications and tolerances. Choose appropriate materials for tool construction based on factors such as strength, durability, and compatibility with the manufacturing process. Interpret engineering drawings, schematics, and technical specifications to accurately create or modify tools. Inspect finished tools to verify their accuracy, precision, and quality, making necessary adjustments to ensure optimal performance. Troubleshoot, repair, and maintain existing tools to extend their lifespan and ensure continuous production operations. Work closely with design engineers, production managers, and other team members to ensure tools align with production requirements and goals. Identify opportunities for process improvement and innovation in tool design and manufacturing techniques to enhance efficiency, safety, and product quality. Maintain comprehensive records of tool designs, modifications, maintenance procedures, and any troubleshooting activities. Adhere to all safety protocols and guidelines, promoting a safe working environment for yourself and your colleagues. Minimum Qualifications: High school diploma or equivalency certificate. 10+ years experience in related machining role, 5+ years CAM with mill turn experience (lathe Y axis.) Preferred Skills & Experience: Experience with Fanuc controller and Doosan / DNM PUMA turning centers. Experience turning aerospace materials like Inconel 718, SS304, SS316, AL7075. Experience fixturing and turning metal additive manufacturing parts. Strong GD&T skills, and experience creating and reviewing drawings. Proficiency in operating a variety of machine tools, including lathes, mills, grinders, and EDM machines. Meticulous attention to detail and precision in all tasks, ensuring tools meet strict tolerances and specifications. Strong problem-solving skills to identify issues, troubleshoot problems, and implement effective solutions. Ability to adapt to changing manufacturing needs and work in a dynamic environment. Effective communication skills to collaborate with cross-functional teams and provide insights on tool design and manufacturing processes. Commitment to maintaining a safe work environment and following all safety protocols. Capable of standing for extended periods and performing manual tasks that may require moderate physical effort. Additional Requirements: Willingness to work overtime, or weekends to support critical mission milestones. Ability to lift up to 25 lbs unassisted. Salary Range: California$42-$53 USDCOMPENSATION AND BENEFITS Base salary will vary depending on job-related knowledge, education, skills, experience, business needs, and market demand. Salary is just one component of our comprehensive compensation package. Full-time employees also receive company equity, as well as access to a full suite of compelling benefits and perks, including: 100% medical, dental, and vision coverage for employees and dependents, flexible paid time off for exempt staff and up to 10 days of vacation for non-exempt staff, paid parental leave, short and long-term disability insurance, life insurance, access to a 401(k) retirement plan, One Medical membership, ClassPass credits, personalized mental healthcare through Spring Health, and other discounts and perks. We also take pride in offering exceptional food perks, with snacks, drip coffee, cold drinks, and dinner meals remaining free of charge, and lunch subsidized as part of Vast's ongoing commitment to providing high-quality meals for employees. U.S. EXPORT CONTROL COMPLIANCE STATUS The person hired will have access to information and items subject to U.S. export controls, and therefore, must either be a “U.S. person” as defined by 22 C.F.R. § 120.62 or otherwise eligible for deemed export licensing. This status includes U.S. citizens, U.S. nationals, lawful permanent residents (green card holders), and asylees and refugees with such status granted, not pending. EQUAL OPPORTUNITY Vast is an Equal Opportunity Employer; employment with Vast is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.