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Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision-making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision-making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high-performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross-functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement). Technical Fluency: Expert-level proficiency in Python and its scientific computing stack (Pandas, Scikit-learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real-world datasets. Data Ecosystem Experience: Hands-on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). Leadership Acumen: Demonstrated ability to thrive in a fast-paced environment, attract high-quality talent, and drive a data-informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - https://www.facebook.com/varomoney Instagram - www.instagram.com/varobank LinkedIn - https://www.linkedin.com/company/varobank Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail [email protected] with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: https://www.varomoney.com/privacy-legal/ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: San Diego, California, United States of America, Spring House, Pennsylvania, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is currently seeking a Senior Scientist, Data Science, to join our Nonclinical Safety and Submissions (NCSS) team. This position will be located at our office in either Spring House, PA, or San Diego, CA (La Jolla area). (No fully remote option available.) Nonclinical Safety and Submissions (NCSS), Preclinical Sciences and Translational Safety (PSTS), is seeking a highly motivated Senior Scientist to deliver transformative big data capabilities that will drive efficiency, holistic data interpretations, and mechanistic insights to power the new discovery paradigm. NCSS is a team of toxicologists and nonclinical writers responsible for delivering on the PSTS portfolio (efficacy-to-safety, Discovery through Post-Marketing) across all J&J modalities and therapeutic areas. The Senior Scientist will develop data pipelines and tools to interrogate, analyze, and interpret multimodal safety data, and enable integration and interpretation of study data, meta-analyses, and hypothesis generation, as well as generation of mechanistically-founded adverse outcome pathways enabling on/off target assessments, species comparison, and prediction of human outcomes. The role requires a breadth of skills and knowledge to address key biological concerns and portfolio needs into meaningful data science questions and investigating those using relevant data analytics and visualization techniques. The candidate is intellectually curious and will thrive in a dynamic, multidisciplinary, and collaborative environment. Key Responsibilities: Collaborate closely with NCSS stakeholders, prioritize and implement NCSS data needs and use cases, including making NCSS data FAIR in the context of relevant metadata. Partners across PSTS and DPDS (IT and Data Science) to assess the data and data product/tool landscape and supports development of product implementation roadmaps and action plans. Act as point of contact subject matter expert for broad user base within in NCSS, and defined superuser. Manage implementation, monitoring, and user analytics for identified platforms. Works cross functionally to establish workflow to internalize NCSS data in real time and to integrate/connect NCSS data and metadata. Develop processes for data ingestion, warehousing, curation, standardization and database management when needed. Deploy quality control measures to ensure accuracy and completeness of data. Aids in the design, testing, and validations of products/tools for NCSS data search, interpretation, reporting and communication to stakeholders; deploys relevant data transformations, visualizations, summaries, and analytics. Partners with Data Science to develop and implement statistical and machine learning models applied to multimodal data from multiple sources. Serves as a subject matter expert in data science, capable of assessing options and supporting development and implementation working closely with DPDS DSDH external innovation. Interprets and communicates data with an appropriate level of independence in report writing and PowerPoint presentations. Collaborates, presents and communicates project-related deliverables and findings in multidisciplinary PSTS team meetings. QUALIFICATIONS PhD or a Master's degree in Biology or related field with programming and data science expertise is required Or, a PhD or Master's degree in Computer Science, Statistics, Engineering, Science, Data Science, or applicable quantitative field with experience in biology is required 2+ years of Data Science experience (for a PhD), or 4+ years (for Master's) in an industry or academic setting post-degree in positions of increasing responsibility is required Experience in Biology, Biotechnology, Immunology, Pathology, In Vitro Diagnostic, or Health Care industries preferred Good knowledge of SAS required Proficiency in programming (e.g. Python, R, SQL, Javascript) and experience with Cloud Platforms (e.g. GCP, Azure, AWS) required Skill in data visualization and dashboarding tools (e.g. Spotfire, PowerBI, R-Shiny) required Proficiency in healthcare informatics (SNOMED, CPT, HL7) preferred Proficiency in the use of statistical models and AI (e.g. multivariate linear regression, cluster algorithms, decision trees, logistic regression, Principal Component Analysis [PCA], machine learning [supervised and unsupervised], Bayesian Methods, Neural Networks) preferred Knowledge of medical terminology and familiarity with biological research preferred Key Competencies: Strong track record and ability to work independently Analytical mind-set, intellectual curiosity, eagerness for continuous learning and passion for translating data into applied solutions Excellent interpersonal skills required. Ability to work effectively within a diverse team of multidisciplinary scientists This position will be located in either Spring House, PA, or San Diego, CA., and requires the ability to work across time zones, with travel expected Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an, accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $105,000 to $169,050. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL #JNJDataScience #JNJIMRND-DS #LI-Hybrid Required Skills: Preferred Skills: Advanced Analytics, Business Intelligence (BI), Coaching, Collaborating, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis

Graco manufactures and markets premium equipment to move, measure, control, dispense and spray a wide variety of fluid and powder materials. What does that mean? Well, we pump peanut butter into your jar, and the oil in your car. We glue the soles of your shoes, the glass in your windows and the screen on your phone. We spray the finish on your vehicle, coatings on your pills, the paint on your house and texture on your walls. Graco is part of your daily life. The Graco Intern Program offers more than just work experience-it's a chance to make an impact. As an intern, you'll take on projects that matter to the business, contribute to initiatives that drive progress, and develop skills that prepare you for what's ahead. Throughout the program, you'll expand your industry knowledge, collaborate with professionals who are passionate about doing things the right way, and experience a culture that thrives on new ideas and continual growth. You'll also take part in events designed to support both your learning and personal development. The program concludes with a final presentation where you'll showcase your achievements and the difference you've made. The Data Science Intern will work with large datasets from our production operations, supply chain, and product performance, contributing to data-driven decisions that enhance operational efficiency, product quality, and customer satisfaction. As a member of the Data Analytics team, the individual in this position will gain valuable exposure to statistical modeling, machine learning, and advanced analytics, while collaborating with experienced data analysts, engineers, and manufacturing professionals. What You Will Do at Graco Collect, clean, and preprocess structured and unstructured data from sources such as manufacturing equipment, IoT sensors, and supply chain systems to enable actionable insights. Perform exploratory data analysis (EDA) to uncover trends, anomalies, and opportunities for optimizing the movement and handling of critical materials in Graco's systems. Assist in developing and implementing machine learning models for use cases such as predictive maintenance, process optimization, demand forecasting, and quality assurance in material movement. Create insightful data visualizations and dashboards to effectively communicate findings to cross-functional teams, including engineering, operations, and leadership. Collaborate with senior team members to analyze data related to Graco's innovative material handling systems and contribute fresh ideas for solving manufacturing and operational challenges. Document methodologies, workflows, and results to ensure reproducibility and scalability across Graco's global operations. Participate in team meetings, present findings, and contribute to discussions around improving manufacturing processes and enhancing business outcomes. What You Will Bring to Graco Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. Strong programming skills in Python or R; familiarity with libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch is a plus. Experience with SQL and working with relational databases. Understanding of statistical methods, machine learning concepts, and data visualization techniques. Strong problem-solving, analytical thinking, teamwork and communication skills. Ability to work both independently and collaboratively in a fast-paced manufacturing environment. Accelerators Experience with data visualization tools (e.g., Tableau, Power BI) to create insights for engineering, manufacturing, and operational teams. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) or manufacturing-specific platforms like MES (Manufacturing Execution Systems). Familiarity with data and analytics cloud platforms (e.g., Snowflake, AWS) Familiarity with Gen AI capabilities. Knowledge of IoT frameworks and working with time-series data from sensors embedded in Graco's material movement systems. Previous internship or academic project experience working with data in a manufacturing or industrial setting. Interest or experience in material handling, industrial machinery, or manufacturing processes relevant to Graco's mission of moving materials that matter. What You'll Gain Hands-on experience with large-scale data analysis and machine learning projects tailored to Graco's advanced manufacturing processes and material handling innovations. Opportunities to contribute to impactful projects that enhance operational efficiency, reduce equipment downtime, and improve product quality. Exposure to cutting-edge technologies, including IoT data, predictive maintenance, and process automation, in a global manufacturing environment. A collaborative and supportive environment to grow your technical and professional skills while contributing to Graco's mission of moving materials that matter. Applicants must be legally authorized to work in the United States. This role is not eligible for immigration sponsorship now or in the future (e.g., H-1B, TN, F-1 OPT). At Graco, you truly make a difference. Your unique talents contribute to our organizational growth and future. Not only do you make a difference, but Graco's culture empowers employees to create their own career path. Whether you choose to advance within your current department or explore new opportunities in different divisions, you have the ability to build your future. Our managers are here to provide support and guidance as you continue to grow within your career. Graco has excellent opportunities available to individuals who want to be part of a fast-moving, growing company that is committed to quality, innovation and solving fluid handling problems for our customers. Graco is proud to be named a Best Place to Work by Fortune Magazine in 2016, 2018, 2019, 2021 & 2022. Graco offers attractive compensation, benefits and career development opportunities. Graco's comprehensive benefits include medical, dental, stock purchase plan, 401(k), tuition reimbursement and more. Our company uses E-Verify to confirm the employment and eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify. The base pay range for this position is listed below, exclusive of fringe benefits or other compensation. If you are hired, your final base hourly rate will be determined based on factors such as geographic location, skills, competencies, education, and/or experience. In addition to those factors, we will also consider internal equity of our current employees. Please keep in mind that the range provided is the full base salary range for the role. Hiring at or near the maximum of the range would not be typical to allow for future and continued salary growth. $21.00 - $28.00

Job Description Adjunct Professor - Data Science Department: School of Computing and Data Science Location: Wentworth Institute of Technology Wentworth Institute of Technology is seeking adjunct professors to teach undergraduate and graduate courses in Data Science. We are dedicated to fostering educational excellence and preparing students for success in their fields. Position Summary: Adjunct professors are responsible for delivering course materials in a learner-centered environment, engaging students in the learning process, and supporting their academic success. Responsibilities include developing and teaching a range of courses, from introductory undergraduate classes to advanced graduate-level courses in Data Science. Key Responsibilities: Prepare syllabi and develop curricula to meet course requirements and student learning outcomes. Deliver engaging and effective instruction. Provide timely and constructive feedback on assignments and exams. Submit midterm and final grades, attendance records, and other required reports. Communicate consistently with students, faculty, and administrators. Required Qualifications: Master's degree in Data Science, Computer Science, or a related field. Teaching experience in a relevant subject area. Preferred Qualifications: PhD in Data Science or a related field. Experience teaching diverse student populations. Familiarity with online and remote teaching tools. Application Process: To apply, please submit a letter of interest and resume. Applications will be reviewed on a rolling basis until the positions are filled. Wentworth Institute of Technology is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Position Details: At this time, the university is unable to sponsor applicants for H-1B visas. Adjunct faculty compensation varies based on instructional mode (lecture or lab), number of course credits, and program. The minimum adjunct rate is $1,365 per credit. Compensation and Benefits Wentworth Institute of Technology is committed to fair, transparent, and legally compliant compensation practices. We believe that clarity about pay structures and ranges supports equity, fosters trust, and ensures a positive workplace for all employees. Please visit here to see the comprehensive benefits package offered to support the best experience for our employees. https://wit.edu/careers/work-wentworth/benefits Inclusive Excellence at Wentworth Inclusive Excellence is one of the four pillars of the Strategic Plan. Actively and intentionally cultivating a diverse and culturally competent institution where each member has the opportunity and support to reach their full potential and make contributions to our campus community and beyond is Inclusive Excellence at Wentworth. To find out more about the Wentworth's commitment to Inclusive Excellence, please visit the website https://wit.edu/about/inclusive-excellence . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu. E-Verify for Employment Eligibility Verification (Form I-9) Wentworth participates in E-Verify. E-Verify is an internet-based system that compares information from your Form I-9 to records available to the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA) to confirm that you are authorized to work in the United States.

Job Description Senior Software Engineer, Data Science Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Technical/Innovation Center in Warren (MI), Austin (TX), or Mountain View (CA) three times per week, at minimum. This position can be located at any of these locations. Why Join Us General Motors is at the forefront of transforming transportation through software-driven innovation. We're driven by our bold vision of a future with Zero Crashes, Zero Emissions, and Zero Congestion. As we push forward into an era of vehicle intelligence and digital engineering, Artificial Intelligence and Data Science are a cornerstone of our strategy. Join a team at the forefront of innovation, where vehicle software design, release, warranty, and telemetry data converge to transform engineering and quality processes. We're pioneering intelligent automation through advanced prognostics powered by smart algorithms, large language models (LLMs), and machine learning driving faster issue resolution and launching vehicles with exceptional quality. We're looking for a Senior Software Engineer for Data Science to build scalable, AI-driven solutions that deliver measurable impact across engineering and customer experience. The Role As a Senior Software Engineer for Data Science, you will lead the development of scalable AI/ML powered analytics and prognostics applications in a cloud environment, driving innovation across vehicle telemetry and software integration domains. You'll collaborate cross-functionally with engineers, data scientists, and domain experts to deliver high-impact solutions that improve vehicle quality and customer satisfaction. You will contribute to executive decision-making, product launch strategies, and data-driven quality improvements while staying ahead in a fast-paced, evolving tech landscape. What You'll Do Prototype, and productionize scalable AI systems, with an emphasis on hybrid AI pipelines including LLMs. Lead AI/ML analysis of vehicle engineering and telemetry data ensuring robustness, interpretability, and physical relevance of outputs. Apply statistical methods, anomaly detection, and clustering to uncover patterns. Work with large scale data sets and collaborate with subject matter experts to incorporate physical interpretations of insights Leverage advanced data analytics and signal processing techniques to extract actionable insights from complex telemetry datasets Create interactive data visualizations to communicate and interpret complex data Design and build supervised and unsupervised ML models Develop and operationalize full-stack AI pipelines using MLOps practices (e.g., Docker, Kubernetes, FastAPI, MLFlow, cloud-native services). Define strategies for large-scale data ingestion, embedding generation, retrieval tuning, and prompt optimization in production environments. Ensure scalability, reproducibility, and performance of deployed models through well-defined evaluation, monitoring, and retraining mechanisms. Mentor junior level employees, providing coaching and guidance on difficult issues. Your Skills & Abilities (Required Qualifications) Bachelor's in Computer Science, Engineering, Mathematics, or related field, or equivalent work experience 5+ years of experience building and deploying advanced machine learning or deep learning systems in production. Strong experience in Python, major ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace Transformers), SQL, and signal processing libraries (PyWavelets, Tsfresh) Knowledge of ML modeling and toolsets (e.g. Scikit-learn, XGBoost for classification/regression tasks) Experience with MLOps tools and deploying models via containerized microservices on cloud platforms. Data Visualization using PowerBI, Databricks Apps, Azure Apps Exceptional analytical and independent problem-solving capabilities Strong listening and communication skills and ability to collaborate cross-functionally. Demonstrated ability to mentor junior level employees, providing coaching and guidance on difficult issues. What Will Give You a Competitive Edge (Preferred Qualifications) Master's or PhD in Computer Science, Engineering, Mathematics, or related field 7+ years of experience building and deploying advanced machine learning or deep learning systems in production. Experience with retrieval-augmented generation (RAG), prompt engineering, and embedding optimization. Demonstrated expertise with LLMs, transformer architectures, AI agents Experience in automotive domain GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.). Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. The salary range for this role is $134,000 - $226,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. #LI-LL2 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Palo Alto, CA (Hybrid - 2 days/week in office) Reports to: Chief Technology Officer About Midi Health Midi Health is the fastest-growing virtual clinic focused exclusively on women's midlife health. We deliver insurance-covered care for women navigating perimenopause, menopause, and other hormone-related health challenges. Our care model combines clinical expertise with technology to improve access, outcomes, and quality of life for millions of women. We've raised backing from top-tier investors and are scaling rapidly, now caring for hundreds of thousands of patients across the U.S. If you're energized by building in a fast-growth, mission-driven environment, we'd love to meet you. The Opportunity: We are hiring a Vice President of Data Science & Analytics to build and scale a modern data organization that powers decision-making across Midi. This leader will bring executive-level influence, operational rigor, and clarity through data. You will partner with Product, Engineering, Commercial, Clinical Operations, and Finance leaders to define KPIs, build data products, and drive measurable business outcomes. This role is ideal for a strategic operator who can connect business strategy with data execution and establish data as a true competitive advantage at Midi. What You'll Do: Data Strategy & Leadership Build and execute a modern data strategy tied to business outcomes. Scale a high-performing analytics and data science team. Create 6-month org design and hiring plan; mentor team on prioritization and influence. Business Impact Co-own KPI definitions across Finance, Product, and GTM. Publish Insight Notes that power external storytelling with partners and investors. Develop incremental revenue opportunities by partnering on data product strategy. Operational Excellence Install lightweight operating mechanisms (pre-reads, decision memos, metric change-control). Ensure data governance, de-identification, and privacy practices support speed and trust. Drive KPI visibility across growth, quality, and operational performance. Cross-Functional Influence Work hand-in-hand with Commercial, Marketing, and Clinical leaders to make data actionable. Build trusted relationships with exec leadership as a thought partner. Increase data literacy across teams; embed analytics into planning and decision cycles. What You Bring Must-Haves: Experience leading 10+ person data teams at scale in a fast-growth environment ($300M+ run-rate or similar complexity). Proven track record turning insights into business decisions and action. Strong cross-functional operator. Trusted by cross functional teams. Excellent written communication (concise decision memos, KPI narratives). Experience implementing pragmatic data governance (privacy, access tiers, data-sharing). Familiarity with modern data architecture (warehouse + dbt + monitoring tools). Executive presence and ability to influence without authority. Nice-to-Haves: Experience in healthcare, healthtech, or regulated data environments (EHR, claims). Advanced degree in a quantitative discipline. Prior experience monetizing data or shaping data product offerings. Interview Process: Recruiter Screen- 30-45 mins Hiring Manager Screen- 45 mins Panel Interviews- 3-4 hours + Lunch in Office in Palo Alto At this time, Midi is unable to provide visa sponsorship. Candidates must be authorized to work in the U.S. without current or future sponsorship needs. The Salary range for this role will depend on experience.Midi pays a competitive base salary, plus equity and benefits. While you're waiting for us to review your portfolio, here's some fun content to check out https://www.youtube.com/watch?v=1px7i6MVjNg #LI-JA1

About Us CMB is a full-service custom market research and strategy firm based in Boston. As a Top 25 Insights & Analytics company, we’re known for our relentless business-decision focus and cutting-edge creativity. Our passion is helping the world’s leading brands engage, innovate, and grow. We leverage the best of advanced analytics, consumer psychology, and market strategy to tackle game-changing initiatives and business challenges for our clients.What about our culture? Simply put, our people are our power. We have a diverse, inclusive and collaborative team of bright perspectives and curious minds. At CMB you’ll have plenty of opportunities to achieve your full potential. From learning new skills, expanding your expertise, and continuing to advance your professional development, you will feel supported and valued. Our benefits say a lot about how much we value our employees: we offer a fully paid sabbatical, a $250 wellness stipend, paid time off to volunteer, generous medical plans, a 401k match, and more. Every employee also gets to enjoy an employee stock ownership plan (ESOP).ESOP? Yes, we are 100% employee owned! An ESOP is like a qualified retirement plan, similar to a 401k, but you don’t have to make any contributions to participate in the rewards. When we each work hard to provide exceptional service and deliverables to our clients, the positive performance of the company increases the value of our stock and enables the accumulation of wealth for all our employee-owners. About the Position We’re looking for an innovative and strategic leader to serve as our VP of Advanced Analytics & Data Strategy. In this high-impact role, you will oversee and evolve the core of CMB’s analytics and data functions—leading a talented team while driving the development of AI-powered solutions to modernize and accelerate segmentation, market sizing, conjoint, and simulation work. You’ll shape the future of how we design, analyze, and deliver custom market research, playing a key role in our pursuit of smarter, faster, and more effective insights. Reporting to the SVP of Client Services, this role offers the opportunity to be both a hands-on expert and a visionary leader, influencing client outcomes, internal innovation, and our broader thought leadership in the industry. This role may be hybrid in Boston or work remotely in the US. About You You’re a strategic thinker and natural collaborator with a deep curiosity for how data and AI can transform business decisions. You thrive at the intersection of complex analytics, practical applications, and client impact. You’re not only fluent in advanced statistical techniques but also adept at simplifying and communicating their value to executives and clients alike. You love developing others and are energized by coaching high-performing teams. You're equally comfortable guiding innovation, partnering across teams to launch new products, and rolling up your sleeves on high-stakes client work. You're recognized as a thought leader and trusted advisor, inside and outside your organization. About Your Background You’ve worked hard to get to where you are and are ready to bring your advanced analytics expertise to help CMB elevate our offerings and drive innovation. With a strong track record leading custom market research analytics, you bring deep proficiency in advanced methodologies, hands-on experience with tools like Sawtooth and SPSS, and a proven ability to apply AI to enhance data strategy and analysis. You’re also a trusted leader, known for mentoring high-performing teams and delivering impactful, strategic insights to clients. Here’s what you’ll be doing and the qualifications we are looking for: Responsibilities and Expectations Development Coach and advise the Advanced Analytics and Data Management teams and help guide CMB’s strategic priorities and relevant market opportunities Establish standards and best practices (e.g., tools, processes) for both teams with the ability to flex to meet client needs and to drive innovation Collaborate with Growth Strategy and Product Development to develop and validate new approaches to deliver quality, speed, and efficiency in design, analytics and reporting using AI Anticipate requirements for future capabilities, including using AI to improve methodological design, data collection, analytics and reporting Partner with Account Executives (e.g., Practice Leaders, Account Directors) and Product Development to develop and implement revenue-driving solutions that create long-term customer and business value Personal Expertise Stay abreast of leading-edge data management, quantitative research methodologies, analytical techniques, AI analysis, and report automation, measurement, design standards, and their practical applications Be expert at building analytics solutions to solve clients’ business problems and advising clients on how to interpret results to drive business impact Be recognized as a quantitative methodology, AI, and analytical thought leader and industry expert both internally and externally Author thought leadership content for a range of sources, including journals, website, and blogs Present at industry conferences Develop and deliver professional development opportunities when appropriate (e.g., CMBU, Advanced Analytics Show & Tell) Client Building Make a direct contribution to CMB’s sales success including growing new client relationships and revenue Develop, sell, and deliver data integration-based offerings to new and existing CMB clients Passionate consultant who builds trust via exceptional executive presence in client interactions Team Management Lead the Analytics & Data Management function and coach team members and external resources including, analysts, project consultants and methodological experts Partner with CMB senior leadership to establish and achieve goals for the Advanced Analytics and Data Management teams (e.g., client satisfaction, project execution and profitability, team efficiency, employee utilization) Continuously measure and discuss performance, providing mentoring and coaching feedback, and creating development opportunities Conduct timely performance reviews for Advanced Analytics team and participate in peer reviews Advise on external partner capabilities (people, processes and tools) to meet the needs of CMB clients and business Plan and manage talent capacity including ensuring an equitable workload distribution across team members and cross-training across team where it makes sense Work with other managers, colleagues and P&C to effectively recruit and onboard new CMB talent, when necessary Lead and actively participate in cross-company initiatives Projects Partner with clients, Practice Leaders and Client Services team members to successfully contribute to end-to-end client/project delivery alignment leading to valuable insights, high client satisfaction and quality project deliverables Directly own, work on, and complete the most complex client project engagements, as needed Mentor/guide Advanced Analytics team members to ensure successful completion of project work Qualifications Master’s degree in a related field (e.g., statistics, math, market research, psychology, economics) Minimum of 10 years independently managing custom market research analytics projects and teams Experience pioneering new generative AI-approaches to data collection, analysis, and report automation using in-house or third-party technology Experience with complex market research analytical techniques and approaches including conjoint & choice modeling (ACA, CVA, CBC, ACBC, MBC), preference modeling (Maximum Difference Scaling, Anchored MaxDiff, Sparse MaxDiff), segmentation modeling (Latent Class, CART/CHAID, cluster and ensemble analysis), simulator and typing tool development, structural equation modeling, regression modeling, survival analysis, discriminant analysis, adjusted chi-square residuals analysis, factor analysis, data mining, stochastic (applied probability) modeling, time-series modeling & forecasting Hands on experience using advanced analytical tools and technology including and not limited to Sawtooth Software products, Salford Systems Predictive Modeler Suite (TreeNet, MARS), LatentGold, TURF analysis software, and SPSS (including SPSS AnswerTree) Exceptional leadership, management, and mentoring skills Excellent at establishing and strengthening relationships with clients, internal colleagues, and vendors Highly effective collaborator and influencer Proven track record managing to milestones, deliverables, and budgets Effective at delegating, managing, and influencing teams and individuals Excellent at managing multiple projects and priorities simultaneously Able to see the big picture and operate with a strong attention to detail Excellent prioritization, communication, presentation, and writing skills Must be hands-on team player Utilization Goals The typical utilization goal for this role is 20-40% Travel Less than 15% *No agency assistance needed**No visa/work authorization available* CMB strongly encourages candidates from diverse backgrounds and experiences to apply. We recognize that people from structurally marginalized groups often only apply to jobs if they meet 100% of the qualifications, despite the reality that applicants rarely ever meet 100% of the qualifications. If you have demonstrated experience in the custom market research and insights industry and this position aligns with your experience and interests, please apply!CMB is an Affirmative Action and Equal Opportunity Employer and encourages applications from all qualified individuals without regard to race, color, national origin, religion, sex, gender identity, sexual orientation, age, disability, or protected veteran status, or to other non-work-related factors. As part of our commitment to inclusivity, CMB will ensure that persons with disabilities are provided reasonable accommodations. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Kate Milligan at kmilligan@cmbinfo.com. The annual base salary range for this position is $175,000-$215,000 plus bonus, benefits, and an employee stock ownership plan (ESOP). The base salary is dependent on a variety of factors including (but not limited to) experience, expertise, skills, and employee's location. Powered by JazzHR

WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and healthspan. We empower our members to improve their health and perform at higher levels by providing deep insights into their bodies and daily lives. The Health Data Science team develops novel algorithms and features that expand WHOOP’s health capabilities, spanning women’s health, regulated medical features, wellness monitoring, longevity research, and emerging health insights. By combining continuous physiological data with clinical research and data science expertise, we deliver features that are both scientifically rigorous and deeply impactful for our members. As a Data Science Manager on the Health team, you will lead a team of data scientists and research scientists driving projects critical to WHOOP’s success. You’ll balance program execution with people leadership, ensuring the team delivers impactful health features while fostering professional growth. RESPONSIBILITIES: People Management: Mentor, coach, and develop a high-performing team of data scientists and research scientists. Provide guidance on career growth, skill development, and performance improvement. Program Management: Oversee the execution of multiple data science projects within the Data Science Health Team. Ensure projects are delivered on time, within budget, and to the highest quality standards. Resource Allocation: Optimize resource allocation to maximize team efficiency and project outcomes. Coordinate with other departments to secure necessary resources and support for team initiatives. Roadmapping: Collaborate with cross-functional stakeholders to develop and maintain a comprehensive roadmap for the Health Team's data science initiatives. Ensure alignment with company objectives and market trends. Dependency Management: Identify and mitigate dependencies across projects to minimize risks and ensure smooth execution. Proactively communicate with stakeholders to manage expectations and resolve conflicts. Team Support: Act as a supportive leader, fostering a collaborative and inclusive team culture. Provide guidance and assistance to overcome challenges and achieve team goals. Communication: Serve as a primary point of contact for communicating project status, risks, and opportunities to senior leadership and stakeholders. Facilitate effective communication within the team to ensure clarity and alignment. QUALIFICATIONS: Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science, or a related field, Master’s or PhD preferred. Proven experience (5+ years) managing data science teams or similar technical teams in a fast-paced environment. Excellent communication and interpersonal skills, with the ability to build strong relationships with cross-functional teams and stakeholders. Strong understanding of data science methodologies, tools, and techniques, with the ability to provide high-level technical guidance. Exceptional leadership and management skills, with a track record of developing and motivating individuals to achieve their full potential. Strategic thinker with the ability to prioritize initiatives, allocate resources effectively, and drive results in line with business objectives. Experience in the healthcare or wearable device industry is a plus. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Data is at the heart of everything we do—from modeling and strategy development to production monitoring and compliance. As we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists. As a Technical Lead – Data Science, you will provide technical direction and management fora team of data scientists working on high-impact problems across trading and research systems. You will be responsible for shaping analytical frameworks, ensuring methodological rigor, and delivering insights that inform business and research decisions. You will collaborate with stakeholders in engineering, research, and leadership while driving innovation and excellence in our data science practice. Responsibilities Collaborate with Technical Product Owners in Research and Engineering to define priorities, scope solutions, and deliver actionable insights to stakeholders. Own investigations of complex production behaviors and design robust methods for identifying, analyzing, and communicating system anomalies. Mentor and manage junior and mid-level data scientists; provide architectural oversight for data projects. Serve as a technical authority within the data science function, set standards for data quality, statistical rigor, and reproducibility. Lead the design, development, and deployment of analytical pipelines to monitor and interpret production behavior across trading and research systems, ensuring its correctness. Champion best practices in data governance, tooling, and collaborative development (CI/CD, version control, code reviews). Drive continual growth and learning within the team by onboarding new Data Scientists, growing teams, and fostering a culture of curiosity, collaboration, and applied experimentation. Requirements Master’s degree or higher in a quantitative, technical, or analytical field such as Data Science, Statistics, Computer Science, Engineering, Finance, or an MBA with strong analytical training. 3+ years of experience managing data scientists, including responsibility for performance development, technical direction, and project execution. Demonstrated ability to lead cross-functional data initiatives, translate business objectives into analytical goals, and ensure timely delivery. Strong understanding of data science fundamentals, including statistical analysis, data preparation, root cause investigation, and the proven ability to guide others' work in these areas. Familiarity with data tooling and workflows (e.g., SQL, Pandas, R, Airflow), with enough fluency to review and support technical contributors effectively. Basic software development skills and experience with bash, linux/unix, and git Experience communicating complex findings to executive and technical stakeholders, including presenting insights, tradeoffs, and recommendations. Track record of establishing scalable methodologies, driving technical standards, and fostering collaboration in fast-paced, analytically rigorous environments. Preferred Experience building or growing high-performing data science teams in production-aware or high-stakes settings. Exposure to financial markets, trading systems, or quantitative research environments. Familiarity with production monitoring systems, data quality pipelines, or analytics platform development. 7+ years of experience managing data scientists. Experience managing a large team or multiple teams. Compensation The base salary range for this position is $195,000 to $225,000 in the location(s) of this posting. Individual salaries are determined by a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geographic location. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, as well as life and AD&D insurance, 20 days of paid time off, nine sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please review the Voleon Referral Bonus Program . Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Data is at the heart of everything we do—from modeling and strategy development to production monitoring and compliance. As we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists. As a Technical Lead – Data Science, you will provide technical direction and management fora team of data scientists working on high-impact problems across trading and research systems. You will be responsible for shaping analytical frameworks, ensuring methodological rigor, and delivering insights that inform business and research decisions. You will collaborate with stakeholders in engineering, research, and leadership while driving innovation and excellence in our data science practice. Responsibilities Collaborate with Technical Product Owners in Research and Engineering to define priorities, scope solutions, and deliver actionable insights to stakeholders. Own investigations of complex production behaviors and design robust methods for identifying, analyzing, and communicating system anomalies. Mentor and manage junior and mid-level data scientists; provide architectural oversight for data projects. Serve as a technical authority within the data science function, set standards for data quality, statistical rigor, and reproducibility. Lead the design, development, and deployment of analytical pipelines to monitor and interpret production behavior across trading and research systems, ensuring its correctness. Champion best practices in data governance, tooling, and collaborative development (CI/CD, version control, code reviews). Drive continual growth and learning within the team by onboarding new Data Scientists, growing teams, and fostering a culture of curiosity, collaboration, and applied experimentation. Requirements Master’s degree or higher in a quantitative, technical, or analytical field such as Data Science, Statistics, Computer Science, Engineering, Finance, or an MBA with strong analytical training. 3+ years of experience managing data scientists, including responsibility for performance development, technical direction, and project execution. Demonstrated ability to lead cross-functional data initiatives, translate business objectives into analytical goals, and ensure timely delivery. Strong understanding of data science fundamentals, including statistical analysis, data preparation, root cause investigation, and the proven ability to guide others' work in these areas. Familiarity with data tooling and workflows (e.g., SQL, Pandas, R, Airflow), with enough fluency to review and support technical contributors effectively. Basic software development skills and experience with bash, linux/unix, and git Experience communicating complex findings to executive and technical stakeholders, including presenting insights, tradeoffs, and recommendations. Track record of establishing scalable methodologies, driving technical standards, and fostering collaboration in fast-paced, analytically rigorous environments. Preferred Experience building or growing high-performing data science teams in production-aware or high-stakes settings. Exposure to financial markets, trading systems, or quantitative research environments. Familiarity with production monitoring systems, data quality pipelines, or analytics platform development. 7+ years of experience managing data scientists. Experience managing a large team or multiple teams. Compensation The base salary range for this position is $195,000 to $225,000 in the location(s) of this posting. Individual salaries are determined by a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geographic location. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, as well as life and AD&D insurance, 20 days of paid time off, nine sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please review the Voleon Referral Bonus Program . Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Job Title : Data Science Lead Location : Los Angeles, CA Type : 3 + Months Rate : $Open (Best Possible) Core Requirements Bachelor’s degree in Computer Science or related field preferred. 7+ years of professional experience A focus on hardware is going to be key. Experience in GPU programming models, such as OpenCL or CUDA. Experience with cross platform model compilers like ngraph, XLA, TensorRT, etc. Systems-level experience with Linux Operating System. Previous experience leading assessments or evaluations (proof-of-concept type work). Strong communication skills are required as there is heavy client engagement on a day-day basis. Note: If interested please send your updated resume and include your rate/Salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!

Eluvio uses a wide range of machine learning and deep learning techniques within its content fabric. This position offers an internship opportunity for students with excellent academic records pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates) to work in our office with our software engineering team on ML, DL and data science solutions. Responsibilities Work with the Eluvio Machine Learning and Data Science Team Build production level machine learning models on large-scale datasets to increase the intelligence of video/audio content Provide data-driven recommendations and actionable insights on problems such as content understanding/augmentation/location Develop multi-functional learning pipelines Collaborate with product and engineering teams to implement models at scale Requirements Desired Qualifications MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate Deep classroom experience in data science or machine learning or prior internship Comfortable with Python or R Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn) Knowledge of computer vision and natural language processing Great communication skills, organized, able to multitask and be a team player Ability to balance attention to detail with agile execution Benefits Paid internship

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are seeking a seasoned leader to drive Data Science consulting engagements in the pharma and life sciences domain, with a strong focus on Agentic AI, Generative AI, and advanced analytics solutions. The role involves leading client discussions, designing AI-driven solutions, and guiding cross-functional teams in delivering end-to-end data science projects. Responsibilities: Lead data science consulting engagements for pharma clients, ensuring business impact and value realization. Architect and implement Agentic AI, GenAI, and advanced ML solutions tailored for pharma and healthcare use cases. Build and scale RAG pipelines, conversational AI, and multi-agent systems to solve complex client challenges. Partner with senior stakeholders to define data strategy, AI roadmaps, and transformation programs. Stay updated on emerging AI technologies, regulations, and best practices in pharma. Requirements 10+ years of experience in Data Science/AI consulting Proven expertise in Agentic AI, GenAI, LLMs, and advanced machine learning. Strong knowledge of pharma and life sciences domain Proficiency in Python, SQL, cloud platforms (Azure/GCP/AWS), and modern AI/ML frameworks. Experience in building end-to-end AI solutions (data engineering, model development, deployment). Strong consulting, client management, and stakeholder engagement skills. Advanced degree (Master’s/PhD) in Computer Science, Data Science, AI, or related field preferred. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Title: Data Science and Analytics Location: New York City Duration: 3 months to perm Responsibilities: •Deliver Data-driven, actionable insights •Analyze on-site customer journeys under an optimization-focused lens •Present insights to clients and account teams in a compelling and relevant story with recommendations backed by robust analysis •Provide strategic guidance on analytics and measurement strategies, while leading by example with an active delivery role •Develop an intimate understanding of our clients business and their customers, and pro-actively identify ways to help our clients achieve their goals •Work closely with account teams to identify opportunities, participate in sales pitches and strengthen leadership position in digital transformation •Collaborate with cross functional teams, including creative, design and technology to shape meaningful customer journeys and customer centric thinking Experience Guidelines: •3-6 years of experience with a focus in Site Analytics and Optimization or related fields. •Bachelor’s degree, in Marketing, Business, Engineering or a related field. •Passion for digital analytics, working with data and deriving insights to answer client business questions •Experience leading and delivering analytics engagements • Strong knowledge of the digital space and digital analytics •Strong communication and client service skills •Strong organizational skills and attention to detail •Strong consultative skills and the ability to challenge status quo and gain adoption •Comfort with working in and contributing to a fast-paced, team based environment •Management or mentorship experience - providing training, project support, career advice and delegated responsibilities •Proficiency in Adobe Analytics and other Adobe Marketing Cloud products, specifically Test and Target •Proven ability to influence stakeholder and senior leaders, and manage organizational change •Recruit and Manage team of ‘rock-star’ analysts •Build a customer obsessed culture and grow our business

About Prove As the world moves to a mobile-first economy, businesses need to modernize how they acquire, engage with and enable consumers. Prove’s phone-centric identity tokenization and passive cryptographic authentication solutions reduce friction, enhance security and privacy across all digital channels, and accelerate revenues while reducing operating expenses and fraud losses. Over 1,000 enterprise customers use Prove’s platform to process 20 billion customer requests annually across industries, including banking, lending, healthcare, gaming, crypto, e-commerce, marketplaces, and payments. For the latest updates from Prove, follow us on LinkedIn. Prove is driving the future of digital identity. We are looking for Provers who know how to make an impact. We’re talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smart but natural curiosity and tenacity. Teamwork is also important to us – we work together and play together. Prove has big plans, and we’re excited about the future. If this sounds like the place for you – come join our team! Title: Senior Machine Learning Engineer, Data Science Department: Data Science Reports To: Senior Manager, Data Science FLSA Status: Exempt Location: Denver, CO Job Summary As a member of the Data Science team, you will work closely with our product, cloud backend, engineering, and customer-facing teams to define what it means to have an effective solution, propose and implement models and algorithms for the solution, and build systems that automatically ensure the intelligence behind our products is operating as efficiently and effectively as possible. You will be responsible for understanding how the whole system works and helping to drive improvements. This is a critical hands-on role with a high degree of influence. We embrace our startup roots and are willing to wear whatever hat is necessary to make our team and products successful. Key Responsibilities: Design, build, and deploy end-to-end machine learning systems and data pipelines in a production environment. Lead the research and development of new models and algorithms that drive the core intelligence of Prove's products. Collaborate across teams (product, cloud backend, platform, data engineering) to define requirements and deliver solutions that improve system performance and efficiency. Serve as a technical leader, providing guidance on architectural design, best practices, and code quality across the team. Drive continuous improvement by owning the full lifecycle of models, from data ingestion and training to monitoring and maintenance. Exercise creative thinking and imagination to find solutions to hard problems Mentor other engineers and data scientists, fostering a culture of technical excellence and innovation. Strong passion for learning about our products and markets through in-house and external training. Qualifications and Experience: Required 5+ years of professional experience as a Machine Learning Engineer or in a similar role. Bachelor’s degree in Computer Science, or a related field. Experience with public cloud infrastructure (AWS, GCP, Azure). Demonstrated experience with MLOps, including CI/CD pipelines, model versioning, and monitoring in a production environment. Strong software development principles and a track record of building scalable, reliable systems. Expert proficiency in Python and experience with machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). Proficient in machine learning and/or signal processing techniques Promote, maintain and enhance our cultural values of humility, passion, inclusion, and leadership. Strong passion for learning about our products and markets through in-house and external training. Experience in high-growth /pre-IPO Technology companies Preferred Experience in high growth /pre-IPO Technology companies Experience with model risk management This position description should not be considered the final description of the position. The position description is not intended to be an all-inclusive list of duties and standards of the positions. It should be assumed that we would, to some extent, structure responsibilities in accordance with the successful candidate’s capabilities and changing business conditions. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. The anticipated salary range for this role is $180,000-$190,000 plus variable commission / company bonus. Offered salary will be determined by the applicant’s education, experience, knowledge, skills, geo-location and abilities, as well as internal equity and alignment with market data. Benefits & Perks for FTE Provers: Competitive salaries & Bonus Plan (for eligible roles) and Equity Plan Modern Health for financial, mental, and physical wellness 401(k) Retirement Plan & Match (US Offices) and Local Country Pension (International Offices) Unlimited Vacation and Flexible hours Comprehensive medical benefits for you and your family ❤️ Emotional & Physical Wellness – Access to wellness services (EAP & Prove Well-Being Reimbursement) Bottomless snacks & beverages for certain office locations Daily GrubHub stipend for lunch if coming into the office (US Offices) A great place to work and connect with other talented Provers like yourself! Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Prove we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Equal Opportunity Employment: Prove is an equal opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics Privacy & Data Protection: When you are applying for a job at Prove, we collect and use your personal information in the job application process. To understand more about how Prove uses your personal information, please see our Recruitment Privacy Policy on our website.

Location(s): United States of America City/Cities: Atlanta Travel Required: 00% - 25% Relocation Provided: Yes Job Posting End Date: December 7, 2025 Shift: Job Description Summary: Position Title: Senior Director I, RGM Data Science & Engineering (R-131465) Primary Job Location: (USA) Applicants must currently reside in, or be willing to relocate to the Atlanta, Georgia area. Travel: Up to 25% travel with an expectation to be in the office 3 days a week. Education: Bachelor's degree in Data Science, Computer Science, or related technical discipline; Master's degree preferred. Preferred Experience: Minimum of 7 years of relevant professional experience. About the Role: We are a beverage company committed to leveraging technology to transform how we meet consumer needs. Our North America Revenue Growth Management (RGM) team is at the forefront of this transformation, building advanced analytics and machine learning capabilities to optimize pricing and promotion strategies. As Senior Director, RGM Data Science & Engineering, you will lead a small, agile team recognized for delivering scalable data and AI solutions. This role blends strategic leadership with technical expertise-you will guide vision and priorities while remaining hands-on when needed to ensure successful execution. What You'll Do for Us Key Responsibilities: Data Strategy & Engineering: Shape and evolve our data strategy, including architecture, and long-term roadmap. Oversee deployment and maintenance of production-grade data pipelines within Azure (Databricks, AzureML, Synapse). Manage partnerships with internal service teams to augment resources and capabilities. Analytics Leadership: Serve as the primary expert in Data Science and Engineering, providing guidance on feasibility, resource allocation, and prioritization. Design and deploy scalable ML models that include forecasting and optimization Stay ahead of emerging AI trends and integrate them into our solutions. Strategic Partnership & Business Alignment: Collaborate closely with the broader RGM team to identify pricing and promotion gaps and deliver analytical solutions that drive growth. Ensure team objectives align with business priorities and long-term strategy. Communicate complex technical concepts in a clear, consultative manner to senior business stakeholders. Leadership & Talent Development: Inspire and develop a high-performing team, fostering a culture of innovation and continuous learning. Balance strategic vision with hands-on execution when needed. What You'll Need Qualifications: Required: Proven experience leading production data pipeline deployment within Azure ecosystem. Deep expertise in machine learning and AI, with a track record of deploying models at scale. Strong consultative communication skills and ability to simplify complex concepts. Demonstrated ability to lead projects through both technical and business dimensions. Bachelor's degree in Data Science, Computer Science, or related technical discipline. Preferred: Experience with large-scale optimization tools (e.g., Gurobi). Graduate degree in Data Science, Computer Science, or related technical discipline. What We Can Do For You Iconic Brand: Work on the most recognized brand in the world and be part of developing the brands next chapter. Exposure to World Class Leaders: Availability to global marketing leaders that will expand your network and exposure you to emerging digital platforms and marketing insights. Learning Culture: Access to resources such as Coke University, LinkedIn Learning and management programs that give you the resources to continually develop your skills and knowledge. The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States. Skills: Analytics, Collaborating, Communication, Data Analysis, Data Mining, Data Research, Leadership, Machine Learning, Machine Learning (ML), Microsoft Azure, Microsoft Power Business Intelligence (BI), Predictive Analytics, PySpark, Python (Programming Language) Pay Range: $195,500 - $226,800 Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered. Annual Incentive Reference Value Percentage: 30 Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target. Our Purpose and Growth Culture: We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high standards? Join us in shaping a more just world. About Us : LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities. About the Role : As a Manager, Data Science, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies. For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Responsibilities : Leading the development of advanced AI and machine learning models to solve complex business problems Working closely with other data scientists and engineers to design, develop, and deploy AI solutions Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs Analyzing large datasets to identify patterns and trends that can inform AI development Communicating findings and insights to stakeholders in a clear and concise manner Staying current with the latest AI and machine learning trends and technologies Mentoring junior data scientists and provide guidance on AI and machine learning best practices Driving best practices across our data science functions Setting strategy and team direction, with a clear vision for Data Science Working with product leaders to apply data science solutions. Evaluating and creating new frameworks and defining methodologies and governance Leading small- to medium-sized teams (direct or indirect) Setting a high-bar for model development Requirements : Have substantial experience in a senior data scientist role Have experience in leading complex projects and customer relationships Have significant experience in managing larger Technical teams (direct or indirect) Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues Be a natural problem solver, able to take a lead in collaborating to resolve issues Have excellent communication skills and the ability to convey information clearly to senior stakeholders Highly Desired Skills and Experience : PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field 7-10+ years of experience in AI and machine learning Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc. Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. Experience with reinforcement learning, prompt engineering, hallucination mitigation Working understanding of the business risks associated with applying LLM in a business Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark) Strong coding skills in Python or another programming language Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders Strong problem-solving skills and the ability to think outside the box Work in a way that works for you : We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees Working with Us : LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace. Working for you: We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:- Comprehensive, multi-carrier health plan benefits- Disability insurance- Dependent care and commuter spending accounts- Life and accident insurance- Retirement benefits (salary investment plan/employer stock purchase plan)- Modern family benefits, including adoption and surrogacy About our Team: LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful. {Empty} U.S. National Base Pay Range: $113,100 - $188,500. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits ● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan ● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs ● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity ● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits ● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts ● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Location(s): United States of America City/Cities: Atlanta Travel Required: 00% - 25% Relocation Provided: Yes Job Posting End Date: December 7, 2025 Shift: Job Description Summary: Position Title: Senior Director I, RGM Data Science & Engineering (R-131465) Primary Job Location : (USA) Applicants must currently reside in, or be willing to relocate to the Atlanta, Georgia area. Travel : Up to 25% travel with an expectation to be in the office 3 days a week. Education : Bachelor’s degree in Data Science, Computer Science, or related technical discipline; Master’s degree preferred. Preferred Experience : Minimum of 7 years of relevant professional experience. About the Role : We are a beverage company committed to leveraging technology to transform how we meet consumer needs. Our North America Revenue Growth Management (RGM) team is at the forefront of this transformation, building advanced analytics and machine learning capabilities to optimize pricing and promotion strategies. As Senior Director, RGM Data Science & Engineering, you will lead a small, agile team recognized for delivering scalable data and AI solutions. This role blends strategic leadership with technical expertise—you will guide vision and priorities while remaining hands-on when needed to ensure successful execution. What You’ll Do for Us Key Responsibilities : 1. Data Strategy & Engineering : Shape and evolve our data strategy, including architecture, and long-term roadmap. Oversee deployment and maintenance of production-grade data pipelines within Azure (Databricks, AzureML, Synapse). Manage partnerships with internal service teams to augment resources and capabilities. 2. Analytics Leadership : Serve as the primary expert in Data Science and Engineering, providing guidance on feasibility, resource allocation, and prioritization. Design and deploy scalable ML models that include forecasting and optimization Stay ahead of emerging AI trends and integrate them into our solutions. 3. Strategic Partnership & Business Alignment : Collaborate closely with the broader RGM team to identify pricing and promotion gaps and deliver analytical solutions that drive growth. Ensure team objectives align with business priorities and long-term strategy. Communicate complex technical concepts in a clear, consultative manner to senior business stakeholders. 4. Leadership & Talent Development : Inspire and develop a high-performing team, fostering a culture of innovation and continuous learning. Balance strategic vision with hands-on execution when needed. What You’ll Need Qualifications : Required : Proven experience leading production data pipeline deployment within Azure ecosystem. Deep expertise in machine learning and AI, with a track record of deploying models at scale. Strong consultative communication skills and ability to simplify complex concepts. Demonstrated ability to lead projects through both technical and business dimensions. Bachelor’s degree in Data Science, Computer Science, or related technical discipline. Preferred : Experience with large-scale optimization tools (e.g., Gurobi). Graduate degree in Data Science, Computer Science, or related technical discipline. What We Can Do For You Iconic Brand: Work on the most recognized brand in the world and be part of developing the brands next chapter. Exposure to World Class Leaders: Availability to global marketing leaders that will expand your network and exposure you to emerging digital platforms and marketing insights. Learning Culture: Access to resources such as Coke University, LinkedIn Learning and management programs that give you the resources to continually develop your skills and knowledge. The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States. Skills: Analytics, Collaborating, Communication, Data Analysis, Data Mining, Data Research, Leadership, Machine Learning, Machine Learning (ML), Microsoft Azure, Microsoft Power Business Intelligence (BI), Predictive Analytics, PySpark, Python (Programming Language) Pay Range: $195,500 - $226,800 Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered. Annual Incentive Reference Value Percentage: 30 Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target. Our Purpose and Growth Culture: We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

About Us:We deliver the most advanced and flexible learning experience for certification, credentialing, test prep, continuing education, and training. Our cloud-based learning platform helps training organizations, associations and the extended enterprise deliver a highly engaging and effective learning experience for individuals looking to advance their careers. We incorporate the latest in learner-centered technology, including personalization, gamification, data science, usability and omni-channel delivery.We’re sitting in a pivotal time in the BenchPrep history. The number of learners on our cloud-based learning platform has reached nearly 11 million as of 2024.We’re committed to helping people learn better, and that starts with our own people.This position is remote (along with all of our BenchPrep positions). BenchPrep is looking for a hardworking, ambitious Staff/Senior Accountant to support its growing operations. This position will report to the Controller.About the role:Within the Accounting function at BenchPrep, you'll play a pivotal role in our finance team. Your focus will be on maintaining accurate financial records, preparing reports, analyzing data, and ensuring regulatory compliance. You'll contribute to budgeting, forecasting, audits, and process improvements, supporting our financial health and strategic decision-making. The ideal candidate has a strong background in accounting, financial analysis, and reporting, along with excellent analytical skills, attention to detail, and the ability to communicate financial information effectively across the organization. Proactivity, problem-solving abilities, and a commitment to continuous improvement are also essential.The key components of the work you’ll be doing in this role are:Manage accounting function including account reconciliations, journal entries, AR, AP, and BillingAnalysis and review of company expenditures, confirming proper allocation of expenses to the various departments, and reporting to these departments as necessaryReview transactions to ensure accounting treatment is in accordance with GAAP and company policies and proceduresAnalyze billing transactions to ensure proper allocation of revenue recognition policiesReview general ledger accounts and making all necessary journal entries including posting monthly, quarterly, and yearly accrualsAssist in building financial statements including balance sheet, income statement, and changes in financial position, as well as budget variance analysisAssist in the design and preparation of budgets for review by managementPrepare year-end schedules for the annual tax returnsLook for ways to improve upon accounting processes and proceduresSkills and experiences we value:Bachelor’s degree in accounting; CPA preferred3-5 years (Staff Accountant), or 5-8 (Sr Accountant) years in accounting or auditing; public accounting experience preferredTeam player with a positive attitude towards contributing and learningThorough knowledge and experience in the areas of financial statement preparation, GAAP, and revenue recognitionStrong verbal/written communication skillsExcellent analytical and problem solving skillsAbility to work well independently and in a team environmentSelf starter, quick learner, and ability to multitask on a regular basisDetail-oriented with excellent organizational skills and deadline drivenCapacity to thrive in a fast-paced environmentStrong sense of ownership on issues and following through to completionAdvanced proficiency with Microsoft ExcelExperience working in accounting systems (NetSuite, Intacct, Quickbooks, etc.) strongly preferredNote: We know that excellent candidates can have all sorts of backgrounds and experiences, so please don’t hesitate to apply even if you don’t meet 100% of the listed requirements. And check out our blog post to learn more about inclusion at BenchPrep in the Engineering team."Life at BenchPrep: We work at BenchPrep because we’re dedicated to the mission, and each day we have an opportunity to be challenged and learn. We work hard and have lots of fun. Culture is our lifeline at BenchPrep. We celebrate our people, both professionally and personally. We care about learning so much that we offer employees $1,200 annually to develop their skills so they can continue to operate everyday with new skills. It’s no wonder we were selected in Inc’s Best Workplaces of 2024 and Crain’s 2020 Best Places to Work in Chicago lists.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We are looking for high performing and motivated professionals who are excited about the chance to leverage technology to impact the lives of millions of learners. Join us.At BenchPrep, we pride ourselves on offering a great total rewards package to each employee, including medical and ancillary benefits, potential for yearly bonus, stipends for work-from-home expenses, flexible paid time off (our version of unlimited PTO), annual professional development stipend dollars, and of course, a competitive base salary. The salary range for this position is between $65,000-$85,000, and is set based on Chicago market data. Please note this refers to the amount BenchPrep is willing to pay at the time of this posting.For information on how we collect and dispose of information, please view BenchPrep’s privacy policy statement here.