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We are seeking a strategic, collaborative, and technically skilled Director of Data Science to lead and grow our data science team. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful machine learning and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core products, services, and operations. The role will report to the VP of Data & Analytics. What You'll Do Leadership & Strategy Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes Act as a strategic advisor and thought leader, championing the adoption and responsible use of AI/ML across the organization Advocate for ethical, transparent, and compliant data use, upholding standards of fairness and accountability in all initiatives Team Development & Management Build, mentor, and lead a high-performing, collaborative team of data scientists Foster a culture of inclusion, innovation, and continuous learning within the team Set clear goals and development plans to support team growth and success Cross-Functional Collaboration Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value Analytical & Communication Excellence Translate complex, ambiguous problems into structured, actionable analytical solutions Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions Model Development & Operations Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs Standards & Best Practices Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability What You'll Need Minimum Qualifications 8+ years in data science or machine learning roles, including 3+ years in a leadership position Advanced degree (PhD/MS) in a quantitative field such as Computer Science, Statistics, Mathematics, or similar Proven experience deploying machine learning models at scale in production environments Preferred Qualifications Background in SaaS or experience working with B2B business models Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Deep understanding of statistical modeling, causal inference, and A/B testing Excellent communication and stakeholder management skills Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms Experience with NLP, recommendation systems, or time-series forecasting. Experience managing and growing technical talent Working Conditions & Travel Requirements Reliable internet access for any period of time working remotely, not in a Workiva office Up to 20% travel How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic. We strongly encourage and welcome people from historically marginalized groups to apply. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

About Northern Trust: Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. Northern Trust is looking for experienced modelers/data scientists to join the Risk Advanced Analytics team. Responsibilities include working with large and complex data sets (both internal and external data) to develop, monitor and support the implementation of advanced analytics solutions and regulatory models The key responsibilities of the role include: Perform data analysis and advanced modeling techniques to solve complex business problems, provide insights and create innovative solutions Develop econometric forecasting models for key balance sheet and income statement line items (e.g. deposit forecasting, revenue forecasting) under different macroeconomic scenarios as part of the annual stress testing exercise Create predictive models for estimating probability of default and losses as part of the Bank's capital adequacy process Exercise independent judgement in identifying and resolving problems within established guidelines and development framework Interact with the Data Analytics team to request and ensure high quality data are utilized in the model development process Communicate regularly with key business partners, management, oversight committees and regulators by acting as a subject matter expert. The successful candidate will benefit from having: Graduate degree in a related field (math, statistics, economics) is required 5+ years of experience in banking and/or data science /modeling is required Experience with developing CCAR and PPNR models is preferred Experience with Time Series modeling techniques is required Excellent analytical skills and high attention to detail Experience using statistical programming languages such as Python, SAS, SQL Excellent oral and written communication skills, including presentation and data visualization skills Ability to effectively communicate with peers, senior management and overseas partners Ability to work under pressure, manage and prioritize multiple deliverables. #LI-LK2, #LI-Hybrid Salary Range: $83,100 - 141,300 USD Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component. Working with Us: As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose. We'd love to learn more about how your interests and experience could be a fit with one of the world's most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater Reasonable accommodation Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com. We hope you're excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people. Apply today and talk to us about your flexible working requirements and together we can achieve greater.

Clorox is the place that's committed to growth - for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace Your role at Clorox: As Data Science Manager, you would have the opportunity to apply data science techniques across our portfolio of brands to create novel tools and analyses, pushing the boundaries of marketing analytics within the company This role is responsible for building data products and translating data into clear and compelling insights ensuring proper activation that leads to business results. You will work closely with other data scientists, engineers and partners across Marketing, Sales and R&D to derive insights from diverse data sources, help the business make data-driven decisions and apply cutting edge data science techniques. The ideal candidate would be passionate about data science and product analytics with business facing experience. In this role, you will: As Data Science Manager, you would have the opportunity to apply data science techniques across our portfolio of brands to create novel tools and analyses, pushing the boundaries of marketing analytics within the company This role is responsible for building data products and translating data into clear and compelling insights ensuring proper activation that leads to business results. You will work closely with other data scientists, engineers and partners across Marketing, Sales and R&D to derive insights from diverse data sources, help the business make data-driven decisions and apply cutting edge data science techniques. The ideal candidate would be passionate about data science and product analytics with business facing experience. What we look for: Key Responsibilities Develop and deploy end-to-end AI/ML/Gen AI models, focusing on marketing, measurement, and predictive analytics. Explore and implement GenAI solutions (e.g., LLMs, embeddings, RAG pipelines) for use cases like personalized marketing, customer insights, or content generation. Scope and define data science projects, set clear deliverables, and collaborate with stakeholders to develop and deploy impactful models. Maintain code repositories in GitHub, ensuring version control and collaborative development with other members of the team Collaborate closely with data engineers to ensure data quality, feature engineering, and the development of efficient data pipelines. Act as a strategic partner to business stakeholders, helping them frame problems in a data-driven way and translating business goals into analytical solutions. Lead discovery sessions with marketing, product, and leadership teams to understand pain points and identify opportunities where data science can create value. Present analytical findings and model results through compelling storytelling, using visualizations and business context to drive alignment and decision-making. Education & Experience Bachelor's degree or higher in data science, math, statistics, computer science or other relevant quantitative fields. MS strongly preferred. 5-+ years of relevant business experience with bachelor's, or 3+ years with masters degree Highly collaborative and able to communicate effectively with non-technical audiences. Business partner facing experience is preferred. Technical Skills Proficient in Python, SQL, and other open-source tools, including Generative AI frameworks and other relevant technologies. Experience in predictive modeling, machine learning, and Generative AI tools, with the ability to develop production-ready AI/ML models. Comfortable working with unstructured and messy data, including data exploration, cleaning, and transformation to extract meaningful insights. Experience with cloud-based data tools like BigQuery, Azure Synapse and GCS is a plus Experience with Docker, Cloud deployments and product building is a plus Other Skills Self-starter who can think creatively and look for/develop elegant and viable solves for real world problems. Skilled at producing actionable and compelling recommendations driven by complex data. Strong leadership and communication skills Excellent time and project management skills with the ability to work efficiently under tight deadlines. Strong interpersonal and relationship building skills. Strong Business acumen. Consumer goods (CPG/FMCG) experience preferred. Comfortable in a dynamic environment and able to identify needs, develop a plan of action and implement. Workplace type: This role will be open to candidate location with a preference in being located out of a Clorox Hub. This will abide by the Hybrid 2.0 policy, 3x per week in office if within a 50 mile radius. 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: $124,300 - $244,900 -Zone B: $114,700 - $224,500 -Zone C: $103,600 - $204,100 All 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. To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes.

Avant is adding to our Data Science team! We are looking for a self-driven candidate who is passionate about problem solving and interested in making a difference. This person will be a key member of our Data Science team and responsible for the development of numerous kinds of customer lifecycle models. If you are looking for an opportunity to join a great team where you can be yourself, deepen your skills and experiences, and find new areas of inspiration then consider a career at Avant! What you'll do at Avant: Work with stakeholders throughout the company to identify opportunities for leveraging company data and third-party vendor data to drive business solutions using different modeling techniques Design and build predictive models to enhance customer experience, reduce risk, improve revenue generation, optimize direct mail targeting, and drive key outcomes throughout the customer lifecycle Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies Clean, process and validate data to ensure its quality and integrity for modeling and analysis Conduct feature engineering, select appropriate features and develop robust models using various machine learning techniques Perform ad-hoc analysis and present results in a clear manner to senior management. Provide timely and justified recommendations in response to ad-hoc analysis requested by internal groups Proactively collaborate with Data Engineering, ML Operations, Software Development, Credit Risk, Marketing, Legal & Compliance, and other internal groups to implement and monitor models across the customer lifecycle Develop and enhance processes and tools to monitor model performance and input and output data accuracy Why you're a fit for Avant: 2-3 years of the job experience as a data scientist or an advanced degree (Master's or PhD in Machine Learning, Computer Science, Statistics, Operations Research or a related STEM fields) 2+ years expertise in machine learning theories and practices (Generalized Linear Model, Support Vector Machine, Random Forest, Gradient Boosting, etc.) Familiarity with Object-Oriented Design (OOD) concept and functional programming with 2+ years experience writing production-level code Strong proficiency in Python with experience in the end-to-end development of machine learning models. Domain knowledge in credit risk is a plus Advanced in SQL for querying and analyzing large datasets Excellent communication skills, with the ability to present complex concepts and findings clearly to both technical and non-technical audiences, and effectively collaborate with cross-functional teams Strong problem-solving and critical-thinking skills, with a keen attention to detail and data integrity Experience with ML and data analytics platforms/technologies such as Databricks, AWS (including AI/ML tools) and Looker is a plus Experience in deep learning is preferred Experience in a data science or ML Ops role at a banking/financial institution or fin-tech is a plus This role is based on our downtown Chicago Office, located in the Merchandise Mart. We highly value collaboration and our hybrid schedule (M, T, Th in-office) enables flexibility to balance work and individual priorities. Compensation Range: The base salary range for this job is USD $80,000 - USD $100,000 / Year Employees new to Avant typically come in below the midpoint of the pay range. The compensation range is based on the level outlined in the job posting, and compensation decisions are dependent on each applicant's experience, skills and abilities. [If an outstanding applicant's experience and skill level is above or below the qualifications outlined in the job posting, we reserve the right to make an offer at a different level than the one listed in this job posting, which may have a different compensation range.] This role is eligible for additional incentives, including an annual bonus. These rewards are allocated based on level, impact and performance in the role. Our benefits include: Choice of great Medical, Dental, and Vision Insurance Plan options 401(k) match Flexible Time Off Flexible Work Environment - (i.e. Mon/Tues/Thurs in-person) Generous Paid Parental Leave, Adoption Assistance and Post-parental leave ramp-up program Lunch Allowance (Fooda) and In-office Snacks Summer Fridays Fun In-Office and Virtual Social Events And who doesn't love the swag Check out our Avant Blog! We believe that a diverse set of backgrounds and experiences helps us create the most innovative solutions for our customers. We invite you to apply to our positions even if you do not meet 100% of the qualifications listed in the description. If you're passionate about our mission and aligned to our values, we hope you'll come contribute to our awesome culture. Why Avant is the place for you: At Avant, we believe our values make a difference: Authenticity. We show up to work as our whole selves and make sure others can too. Collaboration. We can only succeed when we do so as a team. Problem-Solving. The harder the problem, the more satisfying the solution. Customer. We are all owners of the customer experience. Initiative. Plan. Adapt. Get Sh!t Done. We believe that great ideas come from anyone and anywhere, that everyone is an owner who drives change, and that we have more fun when we work together. We're problem solvers who love collaborating with intelligent and highly-motivated people to reshape the face of digital banking. Avant offers terrific perks and benefits, fun social events with employees who actually like hanging out together, and a flexible growth environment where trying your hand at new projects and being the active owner of your career path is encouraged and supported.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. The Scientist II, Life Sciences Research will execute research projects for early stage biopharmaceutical partners. This role involves performing complex computational analyses, and providing interpreted insights to guide decision-making for biopharma clients. The ideal candidate will possess strong genomic analytical skills and the ability to communicate complex scientific findings to various stakeholders. Key Responsibilities: Independent Contribution: Independently execute complex translational research projects integrating molecular and clinical data from Tempus multimodal data platform to derive real-world insights for biopharma partners Scientific Communication: Present scientific findings clearly and meaningfully to diverse sets of external stakeholders Continuous Improvement: Stay current with industry trends, best practices, and advancements in computational oncology research. Apply this knowledge to enhance research methodologies and improve overall research quality on team Qualifications: Education: PhD degree in a quantitative discipline (e.g. Biostatistics/Statistical Genetics, Cancer Genetics, Bioinformatics, Computational Biology, Computational Immunology or similar) or, a PhD in Molecular Biology or Immunology combined with a very strong record of computational biology. Alternatively an MSc degree with 4+ years of industry experience. Technical/Scientific Skills: Highly proficient in R (ideally Rmd and/or RShiny) Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences. Preferred Skillsets/Background: Strong understanding of molecular data and artificial intelligence in drug discovery with experience in integrative modeling of multi-modal clinical and omics data. Previous experience working with large transcriptome and NGS data sets. Prior consulting and/or client facing experience is highly desirable Ability to work collaboratively in a team environment Thrive in a fast-paced environment and willing to shift priorities seamlessly. Experience with R package development. Strong peer-reviewed publication record. Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, R Package development, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS. Goal orientation, self motivation, and drive to make a positive impact in healthcare. California Pay Range - $100,000 - $150,000 Illinois Pay Range - $90,000 - $135,000 The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

ABOUT OPORTUN Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. SUMMARY: We are growing our world-class team of mission-driven, entrepreneurial Data Scientists who are passionate about broadening financial inclusion by untapping insights from non-traditional data. Be part of the team responsible for developing and enhancing Oportun's core intellectual property used in scoring risk for underbanked consumers that lack a traditional credit bureau score. In this role you will be on the cutting edge working with large and diverse (i.e. data from dozens of sources including transactional, mobile, utility, and other financial services) alternative data sets and utilize machine learning and statistical modeling to build scores and strategies for managing risk, collection/loss mitigation, take-up rates and fraud. You will also drive growth and optimize marketing spend across channels by leveraging alternative data to help predict which consumers would likely be interested in Oportun's affordable, credit building loan product. RESPONSIBILITIES: Develop data products and machine learning models used in Risk, Fraud, Collections, and portfolio management, and provide frictionless customer experience for various products and services Oportun provides. Build accurate and automated monitoring tools which can help us to keep a close eye on the performance of the models and rules. Build model deployment platform which can shorten the time of implementing new models. Build end-to-end reusable pipelines from data acquisition to model output delivery. Lead initiatives to drive business value from start to finish including project planning, communication, and stakeholder management. Lead discussions with Compliance, Bank Partners, and Model Risk Management teams to facilitate the Model Governance Activities such as Model Validations and Monitoring. Lead, coach and partner with the DS and non-DS team to deliver results QUALIFICATIONS: A relentless problem solver and out of the box thinker with a proven track record of driving business results in a timely manner Master's degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline (Bachelor's degree with significant relevant experience will be considered). Hands on experience leveraging machine learning techniques such as Gradient Boosting, Logistic Regression and Neural Network to solve real world problems 8+ years of experience in leveraging modern machine learning toolset and programming languages such as Python 8+ years of hands-on experience with data extraction, cleaning, analysis and building reusable data pipelines; Proficient in SQL, Spark SQL and/or Hive Excellent written and oral communication skills Strong stakeholder management and project management skills Comfortable in a high-growth, fast-paced, agile environment Experience working with AWS EMR, Sage-maker or other cloud-based platforms is a plus Experience with HDFS, Hive, Shell script and other big data tools is a plus #LI-PR1 #LI-Remote We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/ . We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI's Internet Crime Complaint Center (IC3).

The Senior Manager, Member-Centric Analytics works with stakeholders to formulate, gauge, and prioritize business use cases by designing experiments, predictive/prescriptive models on large-scale datasets to address them. The person in this role will use statistics, complex analyses, and machine learning models to drive member value and business success. Cooperating with the Machine Learning and IT DevOps teams the Senior Manager, Member-Centric Analytics will ensure operationalization and productization of solutions generated at an Enterprise level. Here's what you can expect from the job and what you need to be successful: Job Duties Engage with business stakeholders and create meaningful and productive relationships with them to drive business change management, effective communication of analytics, and insights implementation to actions Act as a subject matter expert in providing technical guidance and mentorship to peers on analytics and analysis best practices, solution design, as well as lead code/design reviews Through initiation and driving of projects, provide meaningful insights using advanced analytics models and solutions targeted to respond to critical business issues and accelerate stakeholder growth and success Partner with cross-functional teams to identify and prioritize actionable, high-impact insights across a variety of core business areas Deliver informative and effective findings, results, and recommendations from statistical analysis to stakeholders Develop and lead a team of high-performing and engaged employees through effective people leadership practices including regular communication of performance expectations and feedback to employees to maintain high team performance; provide coaching and corrective action as required; actively support employee professional growth and development Meet established department metrics; update leader on all major projects and goal progress; research, resolve and communicate operational and employee issues to leader or other business units as appropriate Research, design, implement and validate cutting-edge algorithms/models analyzing diverse data sources to achieve targeted outcomes Process, cleanse, and verify the integrity of data and the data pipelines used for analysis Plan and implement experimental designs, performing statistical analysis on experimental data linked to Credit Union campaigns Initiate and drive projects to completion, including supporting stakeholders in the integration of advanced analytics assets into their operational processes Recommend ongoing improvements to methods and algorithms currently in production Essential Skills Minimum 8 years' professional experience in a data science role, working with large amounts of data, and implementing end-to-end (inception to productization) solutions in the financial services industry 3+ years of managing and leading a team of data scientists; preferably in the financial services industry Expert knowledge in coding; current hands-on experience in writing, reviewing, and/or correcting code within SQL, Python, and/or Spark Expert knowledge of SQL and databases and demonstrated, recent hands-on experience with data science Expert knowledge and experience in NLP, LLMs, predictive and prescriptive analytics approaches Deep understanding of machine learning (ML) techniques including but not exhausted to clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, association rules, sequential pattern discovery and deep learning Demonstrated experience with common business intelligence and data visualization tools (Tableau preferred) Demonstrated experience with cloud-based Data Science platforms (Dataiku Data Science Studio preferred) Professional experience with cloud technologies (AWS, Azure, SaaS, MLaaS, AIaaS) Proficiency in the use of scripting languages and ML platforms (Python, Spark, Snowpark, TensorFlow, R) Experience with Snowflake preferred Demonstrated experience with containers (Kubernetes, Docker), Git Expert command of the English language, persuasive written and verbal communication and an ability to effectively tell stories with data Comfortable with steering ambiguous projects toward clear business goals, testable hypotheses, and action-oriented outcomes Ability to anticipate needs and prioritize projects in a fast-paced environment with tight deadlines and high-volume peaks while producing high-quality work Exemplary communication skills; oral and written, with ability to translate complex statistical and quantitative analysis into simple real-real world inferences, telling the story through data, for both technical and non-technical audiences Expert level analytical and problem-solving skills with attention to detail Ability to motivate a team and operate effectively in an environment with high volumes and tight deadlines across a variety of business partners and technical contributors Ability to translate business objectives into actionable analyses Advanced knowledge of Microsoft Office Suite Minimum Education:Master's or PhD degrees in Mathematics, Statistics, Data Science, Econometrics, or relevant fields Certification/License: Data Science related certifications required Location: Hillsboro, OR 97124 | (HYBRID) Target Compensation in Hillsboro, OR: $165K - $180k annually + annual bonus Benefits options include: Traditional medical, dental, and vision coverage 401K matching up to 5% per pay period Accrue up to 17 days of Paid Time Off your first year of employment 11 paid federal holidays Special employee pricing on lending products such as mortgage, auto, and personal loans (eligibility for special employee pricing is subject to standard account requirements and underwriting criteria) What makes First Tech different? Click here to learn more! First Tech MAY consider Visa sponsorship for this position, but only for existing H1B (NO NEW). #LI-KW1

We are seeking a strategic, collaborative, and technically skilled Director of Data Science to lead and grow our data science team. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful machine learning and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core products, services, and operations. The role will report to the VP of Data & Analytics. What You'll Do Leadership & Strategy Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes Act as a strategic advisor and thought leader, championing the adoption and responsible use of AI/ML across the organization Advocate for ethical, transparent, and compliant data use, upholding standards of fairness and accountability in all initiatives Team Development & Management Build, mentor, and lead a high-performing, collaborative team of data scientists Foster a culture of inclusion, innovation, and continuous learning within the team Set clear goals and development plans to support team growth and success Cross-Functional Collaboration Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value Analytical & Communication Excellence Translate complex, ambiguous problems into structured, actionable analytical solutions Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions Model Development & Operations Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs Standards & Best Practices Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability What You'll Need Minimum Qualifications 8+ years in data science or machine learning roles, including 3+ years in a leadership position Advanced degree (PhD/MS) in a quantitative field such as Computer Science, Statistics, Mathematics, or similar Proven experience deploying machine learning models at scale in production environments Preferred Qualifications Background in SaaS or experience working with B2B business models Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Deep understanding of statistical modeling, causal inference, and A/B testing Excellent communication and stakeholder management skills Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms Experience with NLP, recommendation systems, or time-series forecasting. Experience managing and growing technical talent Working Conditions & Travel Requirements Reliable internet access for any period of time working remotely, not in a Workiva office Up to 20% travel How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic. We strongly encourage and welcome people from historically marginalized groups to apply. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

We are passionate about our business and our culture, and are seeking individuals with that same drive. Summary At Moelis & Company, we collaborate to develop data-driven actionable intelligence that serves internal teams and external clients. We're focused on innovating and creatively solving for business opportunities. We're looking for fresh perspectives and top creative, analytical minds to harness the power of data assets across our Businesses. You'll join a team of problem-solvers who develop impactful solutions that create value for our clients and our people. This data science role involves working closely within our Data Science & Analytics team, cross-industry businesses, and technologists to develop and deliver insights with the greatest business impact. The successful incoming candidate will have a passion for technology, be comfortable working across a range of technology capabilities, and have enthusiasm for solving complex problems. We are seeking an team member who will be responsible for analyzing data and assist with the development of models for business-driven use cases across our Firm. The successful candidate will bring an innovative, analytical perspective to the team and be able to apply machine learning & AI to data assets to enhance business decision-making. They will be able to recognize which statistical methods are suitable for the business problem at hand and be comfortable explaining their findings in simple terms. Responsibilities Work with stakeholders as an internal consultant, identifying opportunities for leveraging data & AI to solve for business challenges and opportunities. Partner with business and technology teams across the organization to evolve data science and AI capabilities. Assist with the buildout of firmwide AI agents and pinpoint how AI can be leveraged to build out data sources and deliver business insights Develop thoughtful analyses and predictive models responsive to project requirements. Engage in end-to-end data science projects from data curation to fitting models to productionizing at scale. Combine machine learning techniques with unique data assets to optimize business decisions. Develop tools to leverage machine learning models to solve business use cases. Research and implement custom statistical models, machine learning algorithms, and Large Language Models Identify valuable data sources / datasets that can be leveraged to improve results. Required Skills and Experience 2-6 years of work-experience, preferably in Banking, Consulting, or similar environments Undergraduate degree with 3 years of work experience or Master's degree in data science, math, statistics, quantitative / computational finance, engineering, computer science or other quantitative / computing field with 2 years of work experience Experience with or interested in building AI agents on platforms such as Microsoft Copilot, Salesforce, Box or other enterprise-wide technology Knowledge of machine learning / data science theory, techniques and tools; experience with Natural Language Processing (NLP) and LLMs is a plus. Expertise using programming languages such as Python to run analyses and SQL for querying relational databases Ability to effectively communicate complex analyses and concepts to internal clients, and external as needed Excellent analytical, quantitative and critical problem-solving skills and demonstrated research ability Demonstrated ability to adapt quickly and deliver high-quality results under tight timelines despite competing demands A strong interest or previous experience in corporate finance or investment banking Interest in application of emerging technologies such as AI Additional Preferred Skills (Not Required Skills) Experience with data visualizations (e.g. Python-Dash, R-Shiny, Tableau, etc.) Expected Salary: USD $90,000 - $125,000 We are an Equal Opportunity Employer. Applicants are considered for employment opportunities without regard to race, age, religion, color, sex (including pregnancyand gender identity), parental status, national origin, marital status, veteran status, sexual orientation, political affiliation, citizenship status, genetic information (including family medical history), disability (in compliance with the Americans with Disabilities Act and any other applicable law), or any other characteristic or status protected under any applicable US, state or other law. This policy applies to all terms and conditions of employment, including recruitment and hiring, appraisal systems, promotions, and training. We are an Equal Opportunity Employer. Applicants are considered for employment opportunities without regard to race, age, religion, color, sex (including pregnancy and gender identity), parental status, national origin, marital status, veteran status, sexual orientation, political affiliation, citizenship status, genetic information (including family medical history), disability (in compliance with the Americans with Disabilities Act and any other applicable law), or any other characteristic or status protected under any applicable US, state or other law. This policy applies to all terms and conditions of employment, including recruitment and hiring, appraisal systems, promotions, and training.

About Northern Trust: Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. The Enterprise Risk Management Office plays a key role in the Risk organization. This Sr. Consultant will be responsible for on-going support in the exploration, maintenance and implementation of data science tools and solutions. Act as liaison between the modeling team and the IT department in order to manage infrastructure, monitor technical upgrades, ensure adherance with standards/procedures, establish communication/training programs, and oversee expense budgets/project statuses. This Senior Consultant, ERM Framework Support role will report to an ERM manager on these initiatives. The key responsibilities of the role include: Support/coordinate ERM team activities with other teams including Regulators, Audit, IT, and other groups/functions, as required Assist in managing the ERM operating budget, forecasts, and training needs for the team Act as business analyst in support of various data science platforms that host different models and tools developed and/or owned by the ERM- Risk Advanced Analytics team Prepare and manage enhancements/defects docket items and requirements for data science platforms Explore and work with Advanced Analytics Team to test new capabilities of various data science tools and modeling platforms Partner with technology team, project managers and/or external vendors on various enhancement, testing, and implementation tasks related to ERM tools and platforms. Support ERM staffing and training requirements, working with Communications team on ongoing programs, training and course development, where appropriate Drive consistency and quality of documentation and work products Identify and escalate issues/risks in a timely manner and collaborate on resolution; challenge the status-quo, identify effective ways for problem solving The successful candidate will benefit from having: 7+ years of experience in risk analytics or a related field within a financial services organization is preferred. Familiarity with coding languages like SAS, Python and related infrastructure is required Understanding of project management skills and ability to manage multiple priorities. Ability to identify, escalate, and assist in driving actions to mitigate priority risks. Strong organizational skills with the ability to manage multiple tasks and deadlines effectively. Strategic and logical thinking abilities. Strong stakeholder management and communication skills, both verbal and written. Project management and change management capabilities. Digital literacy and proficiency in relevant software and coding languages #LI-LK2, #LI-Hybrid Salary Range: $83,100 - 141,300 USD Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component. Working with Us: As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose. We'd love to learn more about how your interests and experience could be a fit with one of the world's most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater Reasonable accommodation Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com. We hope you're excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people. Apply today and talk to us about your flexible working requirements and together we can achieve greater.

Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! This role is part of Blue Origin Operations, which is comprised of Integrated Supply Chain, Facilities, and Security, and Safety, Quality, and Mission Assurance. This includes Manufacturing and Supply Chain support across all Blue Origin facilities. We are looking for a strategic and driven Sr. Manager to lead our Data Sciences & Analytics team within the Business Operations organization. This pivotal role demands a candidate with a strong manufacturing and operations background, outstanding communication skills, and proven experience managing cross-functional technical teams. We look forward to welcoming a central leader who can improve our operational efficiency through data-driven insights and pivotal initiatives. We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required! Special Mentions: Relocation: Relocation assistance provided, if eligible. Location: Preferred locations include any of the major manufacturing sites in WA, FL, or AL. New Team Opportunity: This is an outstanding opportunity to join a newly formed team where you can make a significant impact from the ground up. Your leadership and vision will be instrumental in crafting the future of our data analytics initiatives and driving substantial business value. Responsibilities Include but not limited to: Strategy Development: Develop and coordinate the organization's data analytics roadmap to align with business and operational goals. Team Leadership: Leading, mentoring, and managing a team of Data Analysts, encouraging a collaborative, innovative, and high-performing team culture. Spearhead initiatives that integrate advanced analytics into our business processes, encouraging a culture centered around data. Metrics Management: Build a high-performing team and analytics platform that captures and reports on critical business performance metrics, including production rates, production costs, quality, scheduling, and workforce efficiency. Advanced Analytics: Drive strategic decisions through in-depth data exploration and analysis. Lead initiatives around advanced analytics, including machine learning, AI, and statistical modeling. Dashboards and Reporting: Develop dashboards and automated reporting to monitor trends and results. Collaborator Communication: Share findings and results with executive leadership in a clear and actionable way. Present and defend metrics to executive leadership. Problem-Solving: Possess outstanding problem-solving skills to assess and navigate complex data problems with creativity and analytical rigor. Minimum Qualifications: Bachelor's degree in data science, Computer Science, Statistics, Mathematics, Engineering, or related field. 8+ years of professional experience in data science, analytics, or a related field. 3+ years of experience in manufacturing, operations, and/or supply chain analytics. 3+ years of experience managing data science, analytics, or cross-functional technical teams. Proficiency in data analysis tools and languages (e.g., Python, SQL). Experience with data visualization tools (e.g., Tableau, PowerBI). Familiarity with big data platforms and cloud technologies. Demonstrated ability to lead and develop teams in a dynamic environment. Strong project management and prioritization abilities. Strong communication skills, with the ability to explain complex data concepts to technical and non-technical collaborators. Demonstrated capability to lead cross-functional projects and work closely with various collaborators. Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Ability to earn trust and maintain positive professional relationships Preferred Qualifications: Industry Experience: Experience in Aerospace Manufacturing. Specific Tools: Experience with data from Costpoint, Workday, Databricks, AWS, Confluence, and Cornerstone. Compensation Range for: CA applicants is $191,265.00-$267,771.00;CO applicants is $175,867.00-$246,213.45;WA applicants is $191,265.00-$267,771.00 Other site ranges may differ Culture Statement Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Background Check Required for all positions: Blue's Standard Background Check Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification, Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Benefits Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results. Eligibility for benefits varies by role type, please check with your recruiter for a comprehensive list of the benefits available for this role. Equal Employment Opportunity Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "EEO Is the Law," please see here. Affirmative Action and Disability Accommodation Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at EEOCompliance@blueorigin.com. California Applicant Privacy Notice If you are a California resident, please reference the CA Applicant Privacy Notice here.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Are you a driven graduate student eager to make a real impact at a cutting-edge technology company? Xometry's Summer Internship Program offers a unique opportunity to gain hands-on experience and develop advanced skills in the rapidly evolving world of digital manufacturing. We're looking for a passionate and talented Data Science Intern (Master's/PhD) to join our team! What You'll Do: As a Data Science Intern at Xometry, you'll contribute to projects that leverage advanced analytical techniques to optimize our manufacturing processes, improve customer experience, and drive business decisions. You can expect to work in an environment that encourages innovation and provides hands-on experience in applying cutting-edge data science techniques to real-world challenges.You will: Develop and implement advanced statistical models and machine learning algorithms for tasks such as demand forecasting, predictive maintenance, or supply chain optimization. Conduct in-depth data analysis to identify trends, patterns, and insights from large datasets related to manufacturing operations, customer behavior, and market dynamics. Design and execute experiments to evaluate the effectiveness of different data-driven strategies. Collaborate with engineers, product managers, and business stakeholders to understand business needs and translate them into impactful data science solutions. Contribute to the development of data pipelines and infrastructure for data science applications. Communicate complex technical findings clearly and effectively to both technical and non-technical audiences. Potentially contribute to research and publications related to your work. What We're Looking For: Academic Excellence: Currently enrolled in a Master's or PhD program at an accredited college or university, graduating in December 2025 or May 2026, with a strong academic record. The ideal candidate will be pursuing a Master's or PhD degree in: Data Science, Statistics, Machine Learning, or a related quantitative field. Technical Skills: Strong foundation in statistical modeling, machine learning, and data mining techniques. Proficiency in programming languages (e.g., Python, R) and data visualization tools. Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable. Research Experience (PhD candidates): Experience conducting independent research and contributing to publications is a plus. Strong Work Ethic: Ability to work full-time (40 hours/week) during the internship period (June 9 - August 15, 2025). Excellent Communication Skills: Strong verbal and written communication skills, including the ability to explain complex technical concepts clearly and concisely to both technical and non-technical audiences. Problem-Solving Skills: A strong analytical mindset and a passion for problem-solving. Legal Authorization: Ability to provide proof of legal right to work in the United States.Loca tion Requirement: Ability to commute to our Lexington, KY or North Bethesda, MD office to work onsite for at least 3 days a week. Provide Unofficial Transcript #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society's toughest challenges - from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone. The Team CZI supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems - paving the way for new discoveries that will change medicine in the decades that follow: Building an AI-based virtual cell model to predict and understand cellular behavior Developing state-of-the-art imaging systems to observe living cells in action Instrumenting tissues to better understand inflammation, a key driver of many diseases Engineering and harnessing the immune system for early detection, prevention, and treatment of disease CZI's work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science. The Opportunity CZI is building a virtual cell model that will learn how cells function at a molecular level, and predict how cells and tissues respond to changes to their genes or environment. To achieve this, we aim to generate datasets that enable us to track cells' journeys throughout development, monitor real-time changes in cellular state and identity, and measure how cellular machinery responds to environmental changes. To achieve this, we will generate very large amounts of volumetric, time-resolved microscopy data, and ultimately we will publish the data, models, and related applications for public use. As the Senior Technical Program Manager, you will be responsible for ensuring end-to-end delivery of the imaging datasets, first to AI researchers, and ultimately to the scientific community. You will partner with research scientists, engineers, and data scientists to design and implement systems to acquire, transform, store, manage, and prepare data for model training. You will ensure the system implements requirements from Product Management to make those data useful and accessible for the scientific community. You will ensure data we create are standardized and carry uniform metadata-across imaging modalities but also across other data types we generate. Through these efforts, you will create the data foundation for our work in imaging science. What You'll Do Define and defend the technical strategy and roadmap for imaging data acquisition Establish systems and processes to ensure agility and responsiveness to emerging data types or modeling needs in the rapidly evolving AI biology space. Oversee design and operation of data pipelines and storage solutions to support multi-PB image acquisition, storage, and use Organize a team to create high quality, standardized imaging datasets and deliver them to AI researchers and the scientific community. What You'll Bring 8+ years of experience with biological imaging data, including at least 5 years experience working with technologies accumulating multiple PBs of data per year. Delivered multiple large data products, at least one of which contains a significant component of imaging data. Interest and ability to execute and manage a large, cross-functional project with many stakeholders. Experience with big data: extraction, transport, loading, databases, standardization, and data validation. Strong fundamentals in algorithms, statistical reasoning and/or machine learning. Exposure to image analysis and QC best practices. Excellent written and verbal communication skills. Enthusiasm to ramp up on technologies and learn new domains. Experience working in a scientific multidisciplinary environment (e.g. with research scientists, engineers, data scientists, and/or AI researchers). Compensation The Redwood City, CA base pay range for this role is $178,000 - $267,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Benefits for the Whole You We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. CZI provides a generous employer match on employee 401(k) contributions to support planning for the future. Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs. CZI Life of Service Gifts are awarded to employees to "live the mission" and support the causes closest to them. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving to the Bay Area And more! If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers. #LI-Hybrid

We have many opportunities available on our other career site pages. Click here to link to our careers page! Signet Jewelers is the world's largest retailer of diamond jewelry, operating more than 2,800 stores worldwide under the iconic brands: Kay Jewelers, Zales, Jared, H.Samuel, Ernest Jones, Peoples, Banter by Piercing Pagoda, Rocksbox, JamesAllen.com and Diamonds Direct. We are a people-first company and this core value is at the heart of everything we do, from empowering our valued team members, to collaborating with our customers, to fostering the communities in which we live and serve. People - and the love their actions inspire - are what drive us. We're not only proud of the love we inspire outside our walls, we're especially proud of the diversity, inclusion and equity we're inspiring inside. There are dynamic career paths awaiting you - rewarding opportunities to impact the lives of others and inspire love. Join us! We are seeking a forward-thinking leader to drive innovation in AI/ML product development and machine learning operations (ML Ops). This role will lead the design and deployment of advanced data science and machine learning solutions that enhance decision-making and deliver measurable business value. You will play a key role in shaping the strategic use of data across the organization, leveraging emerging technologies and best practices to build scalable, impactful models. In addition to technical leadership, this position is responsible for building and developing a high-performing, diverse team of data science professionals. You will provide hands-on mentorship, foster a culture of innovation, and lead by example in applying analytical solutions that support business growth. The ideal candidate will also serve as a key advocate for data science across the organization-partnering with stakeholders, advising leadership, and championing the adoption of AI/ML tools and practices to create a more data-driven culture. KEY RESPONSIBILITIES: Lead and inspire the development of advanced data science, statistical models, AI, and ML capabilities. Revolutionize insight driven decision-making across retail functions and brand teams. Stay updated on industry trends and emerging data science techniques. Implement ML Ops practices for scalable and efficient machine learning model deployment. Guide Enterprise Analytics teams in using AWS services to build accurate, insightful models while minimizing technical debt. Recruit, inspire, and lead a diverse team of data science professionals. Provide coaching, mentorship, and hands on support to foster innovation and personal growth. Lead by example in applying analytical solutions that drive growth. Partner with data and analytics leaders to create an insights driven culture. Consult and advise executives as well as collogues on AI/ML solutions for better decision-making. Encourage the adoption of data science tools to enhance performance and inspire business leaders. POSITION QUALIFICATIONS: Bachelor's degree required; advanced degree (MA/MS/PhD in Statistics, Mathematics, Data Science, or MBA) strongly preferred 10+ years of experience leveraging data science to uncover business insights, improve customer experiences, and drive strategic value Proven track record developing analytics strategies, tools, and automated reporting systems to enable data-driven decision-making Deep expertise in data management, data analysis, and working with diverse datasets and tools across large-scale environments 5+ years leading and mentoring data science teams, including experience managing offshore and cross-functional teams Strong foundation in statistical methods and techniques such as regression, clustering, forecasting, decision trees, ANOVA, and experimental design Hands-on experience deploying AI/ML models to enhance performance and decision-making, ideally within a retail or consumer-focused environment Proficiency in analytics tools and technologies including SQL, Python, R, SAS, Tableau, Power BI, Alteryx, and cloud platforms (preferably AWS) Exceptional communication, project management, and executive presentation skills, with experience managing budgets and vendor relationships PERKS AND BENEFITS: Comprehensive healthcare, dental, and vision insurance to keep you and your family covered Fertility Benefits, with a max of $15,000, for participants in the U.S. medical plans/prescription plans Generous 401(k) matching after just one year to help secure your financial future Ample paid time off, plus seven holidays to recharge and unwind Exclusive discounts on premium merchandise just for you Dynamic Learning & Development programs to support your growth And more! The salary range for this opportunity is $185,000 - $210,000. Base pay offered may vary depending on geographic region, internal equity, job related knowledge, skills and experience, among other factors.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. As a member of the Rider & Safety team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We’re looking for passionate, driven Data Scientists and managers to take on some of the most interesting and impactful problems in ridesharing. We’re seeking a highly analytical and product-focused leader with strong business intuition, technical expertise, and a collaborative mindset. The ideal candidate is deeply curious, comfortable navigating ambiguity, and passionate about leveraging data to drive product strategy and business outcomes. As the data science manager, you’ll help develop the vision, set roadmaps, and lead execution for projects in Rider New Product & Partnerships. These pods are responsible for some of the key strategic initiatives in Rider, with frequent exposure to the company’s senior leadership team. You will be reporting to the Senior Data Science Manager leading Lyft’s Rider & Safety Data Science & Analytics team. Responsibilities:  Lead and grow a high-performing team of data scientists with various backgrounds including analytics, experimentation, machine learning, and causal inference. Lead and coach the team to investigate complex problems and identify key drivers of product performance and customer behavior Be a thought leader and go-to expert for goals, strategy, and long-term vision Develop clear, insight-driven narratives about our users, translating findings into actionable recommendations Influence product roadmaps by forming data-backed perspectives and guiding prioritization decisions Operate effectively at both the strategic and tactical levels, including regular engagement with senior leadership Facilitate and foster a data-driven culture and informed decision making and prioritization Design and implement data frameworks to evaluate and prioritize high-impact product initiatives Experience:  Advanced degree in a quantitative field like computer science, statistics, economics, operations research, or engineering; or relevant work experience 6+ years of hands-on technical experience in machine learning, causal inference, or data science 4+ years of management experience building and leading data science teams Strong track record of using machine learning and data science to improve business outcomes Strong track record of guiding teams through unstructured technical problems to deliver business impact Skilled at managing cross-functional relationships and communicating with leadership across multiple teams Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $176,000 - $220,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. 

Are you ready to make an impact? West Monroe is seeking a Director, Data Science for our rapidly growing Technology and Experience practice. As a Director Data Science, you will join a Leadership Team focused on cultivating teams that leverage data to unlock actionable insights for our clients, while mentoring the next generation of data science leaders at West Monroe. This role entails significant responsibility in shaping and delivering our Analytics vision; candidates should be passionate about what they do and be prepared to embrace West Monroe’s fast-growing and entrepreneurial environment. This leadership role will have three areas of responsibility: Practice Development Collaborate with national and local leadership within Data Engineering & Analytics practice and across West Monroe (WM) industry and functional practices, to develop and deliver multi-disciplinary, data-driven offerings Actively lead innovation activities, often in partnership with industry and functional experts and data engineers, to expand and enhance WM’s Analytics solutions and capabilities Develop knowledge of emerging data science techniques; socialize and teach concepts to WM data science community Lead, mentor and grow consultants and actively participate in the career advisory and performance management process Actively participate in recruiting and retaining top quality data scientists Client Delivery Provide quality assurance and conduct frequent touch bases with client executives to ensure value is realized and understood from our engagements Manage and influence multi-disciplinary teams to translate client business objectives into data and analytics solutions; collaborate with data engineering, industry, and product teams to deliver impactful results for our clients Develop and deploy data-driven offerings and accelerators focused on addressing industry-specific challenges Provide leadership and mentorship for teams of data scientists on analytical techniques, and guide the translation of insights into actionable recommendations across multiple projects Excellent communication skills to be able to work with client representatives at all levels Establish and maintain relationships with external data and analytics vendors Business Development Engage with business partners across the firm to identify and cross sell opportunities Cultivate new and existing client development opportunities related to data and analytics Understand client needs to translate challenges and objectives into proposals Develop thought leadership in leading analytics techniques, including how to apply emerging ML techniques to deliver commercial results Attend conferences and networking events to further WM’s brand and market perception related to data and analytics   Qualifications Preferred Master's degree or PhD in a quantitative discipline (e.g., computer science, applied statistics, mathematics, econometrics, engineering) or equivalent experience 10+ years of technical experience in machine learning and statistics related work 5+ years of experience managing data scientists Demonstrated ability to apply advanced analytical and data science methods to commercial scenarios Extensive programming experience in Python or R Extensive experience designing and deploying machine learning solutions, including experience with leading cloud platforms (AWS, GCP, Azure) and corresponding machine learning services Ability to collaborate with WM team members across the firm (e.g., levels, geographies, practices) Strong presentation and communication skills, including the ability to explain complex technical concepts to non-technical audiences Entrepreneurial spirit and willingness to innovate on new and emerging solutions Legally authorized to work in the United States without limitation Ability to Travel, as required based on client and practice demands (expected to be 30%) Based on pay transparency guidelines, a reasonable expectation for the salary range for this role is listed below. Information on our competitive total rewards package, including our bonus structure and benefits is here .  Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity.​ Employees in proximity of our Seattle, Washington DC, Los Angeles, New York, and San Francisco offices will have a geographic premium applied to this salary scale.  Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Ten weeks of paid parental leave will also be available for use after successful completion of one year of employment.​   National $212,000 — $240,000 USD West Monroe is a digital services firm that partners with companies in transformative industries to deliver quantifiable financial value. We believe that digital is a mindset and it’s something companies become, not something they do. We bring together diverse, multidisciplinary teams that use their expertise to develop and execute new ideas and ways of working.    At West Monroe, we invest in our people and care in a big way. We are growing the next generation of leaders who lead with inclusion, enabling us to address our clients’ most complex challenges. If you’re looking for a place where you’ll feel supported, our team will help you grow. We believe that growth breeds opportunity for all. And know that when we come together, we can do what's never been done.   Our fast-paced culture and collaborative teams bring the energy and expertise needed to make an impact and deliver beyond expectations. If you are ready to set big goals with us , j oin us on our journey of building what matters for our clients, our people, and our communities.   West Monroe   is an Equal Employment Opportunity Employer   We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion .   If you are based in California, we encourage you to read West Monroe’s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here .  

This role is not open to visa sponsorship or transfer of visa sponsorship including those on OPT and STEM-EXT OPT, nor is it available to work corp-to-corp. This role requires a hybrid schedule and will be based in our Fort Mill, SC Headquarters (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week. We are looking to hire a Senior Data Science Product Manager to join our Deregulated Energy industry group on our marketplace business. This product team is responsible for transforming our sales center, digital buy flows, and our business operations through applications in AI & ML. This group focuses on both building the underlying technology and applying the applications to the business opportunities to create value. Example projects include building agentic workflows for site personalization and real-time technology, powered by generative AI, to assist our sales professionals. In this role, you will have the opportunity to own product life cycles from end to end. You will be responsible for establishing our strategy, setting roadmaps for the team, driving adoption of our machine-learning-driven applications, creating value, and utilizing end-user feedback to determine what to do next. We expect our data science product managers to be hands-on technical, both in how they leverage data to identify opportunities and leverage the team’s AI/ML solutions to drive business value and usage. We are looking for individuals who have experience in a hands-on role such as a data scientist or data analyst given some portion of this job will expect you to roll up your sleeves and get into the data. This role will have a high level of visibility across the industry group. You will be the point-person for a key initiative with multiple senior stakeholders while working cross-functionally across the greater Energy and our Central Technology teams. Your contribution to the organization will be multifaceted – we are looking for someone who has a strong data foundation, can effectively collaborate with their development team, and can influence business decisions using their expertise and communication skills. We believe that diverse, inclusive teams are better teams. Think of the bullets below as guidelines: if you only partially meet the qualifications on this posting, we encourage you to apply anyway! This is a hybrid position located in our South Charlotte office. What You'll Do Operate as the day-to-day lead on a strategic initiative, ensuring alignment with product leadership, business objectives, and customer needs. Identify opportunities, form the business case, and establish the strategy for data science-powered applications, assessing the feasibility, impact, and business value of AI/ML solutions. Translate high-level objectives into cohesive roadmaps and detailed technical deliverables, guiding engineering and data science teams through execution, and effectively delegating to junior product teammates. Own outcomes - lead hands-on execution in delivery, driving business value through KPI identification, experimentation, and optimization, creating case studies and playbooks for others to replicate. Solve our hardest problems - this may be owning our most complex / ambiguous workstreams or it may be hands-on technical/ML contributions to proof-of-concepts / prototypes to demonstrate feasibility and value of potential investments.  Mentor and develop junior DSPMs, helping them take ownership of workstreams, build product sense, and apply technical skills to drive business outcomes. Who You Are You have an entrepreneurial mindset with strong business acumen and are capable of coming up with data-driven ideas to create value for consumers and the business You have a strong technical and data foundation that enables you to communicate effectively with data scientists, understand relevant algorithms, get your hands dirty, and explain technical concepts to non-technical stakeholders. You are results-oriented. You can guide a team to focus on the activities that will drive the largest lift to targeted metrics You are a proactive problem solver. You can discern input from multiple stakeholders, integrate data-driven insights with intuition, and prioritize workstreams effectively to maximize effectiveness and efficiency. What We're Looking For Demonstrated ability in driving business decisions and behavior changes through machine learning and advanced analytics capabilities. Experience influencing cross-functional leadership, negotiating trade-offs, and making high-impact product decisions in ambiguous and fast-paced environments. Demonstrated ability to help identify areas of opportunity where ML/AI could be applied and experience contributing to the creation of the final product - either hands-on or in a product management capacity Hands-on experience in data-related programming languages (e.g., SQL, Python, R)  Excited about solving problems through consumer-facing solutions on a digital marketplace. Compensation Cash Compensation Range: $150,000-$185,000* + Potential Equity *Note actual salary is based on geographic location, qualifications, and experience. Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Paid Time Off Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Who We Are Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit https://redventures.com and follow @RedVentures on social platforms. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.  We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com .  If you are based in California, we encourage you to read this important information for California residents linked here . #LI-KS1 #LI-TL1 Click here for more details regarding the employee privacy policy:  https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to  employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

Skip the “entry-level grunt-work,” and start making a real impact on Day 1. As part of the Red Ventures Launch program internship, you’ll find unparalleled opportunities to gain exposure to the role and learn what it’s like to work at RV over the 10-week summer internship period with the goal of getting a full-time return offer for the following summer. You’ll start with a large cohort of interns who will be your community as you navigate the RV internship environment together. You will experience in-depth onboarding and extended training to help you learn the ropes, accelerate your growth, and further hone your skills. After getting ramped up, you will join your assigned RV team, meet your manager and mentor, and gain hands-on industry experience to invest in your career growth. Interns will also get the chance to get to know the Charlotte area and the RV culture through engagement events and social impact opportunities. The Launch Program internship is NOT a chance to sit on the sidelines to learn how we do things. It’s your chance to dive in headfirst and take advantage of a 10-week vision into the work we do, learn from our top mentors, and get a jump start into your Red Ventures career while still in school. This role will be based out of our South Charlotte location Monday-Thursday, with remote work on Fridays. We believe successful Data Science Product Managers have a wide set of experiences and skill sets in the data domain. This hybrid position will give you hands-on exposure to data science, data analysis, and product management.   What You'll Do: As a Data Science Product Manager Intern, you will play a critical supporting role in connecting data science initiatives with product solutions to deliver value to both our business and customers. Support the identification of opportunities to enhance product impact by gaining a foundational understanding of the problem space, product strategy, and underlying technology. Assist in analyzing user and business data to provide insights into product improvements. Participate actively in the end-to-end lifecycle of a specific product experiment, including planning, development, launching, data collection, analysis, and presenting findings to your team. Develop and apply technical skills by working on technical workstreams with mentorship. Tasks may include: Assisting in building data pipelines to collect, prepare, and visualize datasets Supporting the creation and evaluation of machine learning models in offline or proof-of-concept scenarios Helping create prompts or workflows involving Large Language Models (LLMs) to automate simple tasks or enhance product features Who you are: Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation. Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles. Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact. Showcases high EQ - can collaborate effectively in a team environment.   Experiences you've had: Graduating with a Bachelor's degree in Winter 2025 or Summer 2026. Unfortunately, we are not able to accept Master's students at this time. June 2nd, 2025 start date in our Fort Mill, SC office (just outside of Charlotte, NC). Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau). Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT). Thorough knowledge in statistics and machine learning techniques. Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences.   Compensation and Work Perks: Cash Compensation Range: $3,653.84 per bi-weekly pay period Subsidized meals at our onsite cafe, smoothie bars and coffee bars (aka $5 for a made-to-order salad, sandwich, pizza, or sushi, or $2 for a delicious smoothie or latte) Premier fitness center with Peloton bikes! Tennis, pickleball and basketball courts. A yoga studio and more! Casual dress code – yes, that means jeans!   Who We Are Red Ventures is a global, multi-faceted company with a start-up mentality. Founded in 2000 with a focus on establishing strategic partnerships with Fortunate 500 companies, we grew rapidly within those first 10 years, quickly becoming a unicorn by utilizing our proprietary technologies to win in the digital marketing space. In 2015, we entered the age of acquisitions and began growing our own portfolio of owned and operated businesses. Over the subsequent years we diversified the types of industries we worked in and now work with over 100 brands. Every day, we help millions of people discover pertinent information that helps them make some of life's biggest decisions, from their health to their home to their finances, among the plethora of industries in which we operate. Whether you work with a brand you know or a brand you've never heard of, you'll know that your work is being seen and making a difference. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact [redacted].   #LI Click here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice Click here for more details regarding the employee privacy policy:  https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to  employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

RaceTrac Company Overview Job Description: The Director, Enterprise Data Science is a cornerstone leader within the Enterprise Strategic Analytics + Data Science team (ESADS), tasked with driving innovation, data science excellence, and operational success across the organization. This role combines technical depth with strategic vision to deliver cutting-edge solutions in Statistical Data Science and Mathematical Optimization (Operations Research). The Director, Enterprise Data Science collaborates closely with Strategic Analytics Partners (SAPs) to ensure alignment with business objectives, while fostering a culture of excellence and continuous improvement within the data science discipline. Additionally, this role guides and supports their team, providing mentorship on designs and approaches, and partners with the business alongside the SAPs to ensure seamless integration of data science solutions with strategic goals. Responsibilities: Scope of Role: Lead the design, development, and delivery of advanced data science solutions that address critical business challenges and opportunities within the ESADS framework. Serve as the primary thought leader for innovation in data science, driving the adoption of cutting-edge methodologies, tools, and best practices. Build and maintain strong partnerships with Strategic Analytics Partners to align technical solutions with strategic business priorities and deliver measurable impact. Guide and mentor the data science team, ensuring high-quality designs, approaches, and delivery of solutions. Partner with the business alongside Strategic Analytics Partners to ensure alignment and integration of data science solutions with broader business objectives. Champion the use of AI/ML and optimization techniques, ensuring their application delivers scalable, repeatable, and high-value outcomes. Day-to-Day Activities: Oversee the end-to-end lifecycle of data science projects, from ideation and prototyping to production and monitoring. Collaborate with cross-functional teams to identify opportunities for leveraging data science to create business value. Conduct rigorous reviews of statistical and optimization models to ensure they meet business needs, technical standards, and ethical guidelines. Mentor and develop a high-performing data science team, fostering technical expertise, innovation, and career growth. Represent ESADS in high-visibility meetings and presentations with executive leaders to communicate progress, insights, and strategic recommendations. Be a vocal and visible leader in our AI Education, Innovation, and Governance team. Expected Outcomes: Deliver transformative data science solutions that enhance decision-making, operational efficiency, and competitive advantage. Elevate the analytical maturity of the organization by integrating predictive and prescriptive analytics into business processes. Demonstrate measurable impact through successful implementation of advanced data science initiatives, with impact explicitly measured in terms of ROI, that align with ESADS’ value-driven objectives. Complexities: Navigate highly complex and ambiguous problems, balancing technical depth with strategic alignment to meet organizational goals. Manage competing priorities across multiple projects while ensuring adherence to timelines, budgets, and quality standards. Manage competing priorities across multiple projects while ensuring adherence to timelines, budgets, and quality standards. Maintain a dual focus on fostering innovation and ensuring operational excellence in the delivery of data science solutions. Qualifications: Required Experience: Master’s or PhD in Data Science, Operations Research, Applied Mathematics, Computer Science, or a related field. Minimum of 10+ years of experience in data science roles, with a proven track record of delivering high-impact solutions in Statistical Data Science and Mathematical Optimization. Extensive experience with AI/ML technologies, optimization algorithms, and large-scale data processing frameworks. Demonstrated expertise in tools such as Python, R, SQL, Databricks, and visualization platforms like Tableau or Power BI. Significant experience working in cross-functional teams and influencing stakeholders at all levels of the organization. Demonstrable experience with one or many of the following: Demand Forecasting, Flexible Segmentation (Customer, Performance, Weather, etc.), Network Optimization, Predictive Maintenance/Service, Predictive Customer Churn, Price Optimization, Risk Modeling, Marketing Mix Modeling, Customer Journey Analytics, Predictive Staffing Optimization, Staff Attrition/Retention Risk, Next Best Product/Offer, Customer Elasticity (Market Response Modeling), Assortment Optimization, Customer Loyalty Effectiveness/Optimization Beneficial Experience: Previous leadership experience managing data science teams and projects in enterprise environments. Consulting experience in analytics-driven industries, such as retail, logistics, or financial services. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud, Palantir) and MLOps best practices. All qualified applicants will receive consideration for employment with RaceTrac without regard to their race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.