Data Science Jobs 2025 (Now Hiring) – Smart Auto Apply

About Profound Profound is an NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT. We partner with some of the biggest brands and marketing agencies, including companies like MongoDB, Indeed, Mercury, DocuSign, Zapier, Ramp, Rho, Golin, Workable, Mejuri, Eight Sleep, G2, US Bank, Chime, and Clay. We recently raised a $35 million Series B funding round led by Sequoia Capital , with continued backing from venture capital firms Kleiner Perkins, Khosla Ventures, Saga VC, and South Park Commons, as well as angel investors including Guillermo Rauch (Vercel) and Andrew Karam (Applovin). Learn more at tryprofound.com . Profound is on a mission to help companies understand and control their AI presence. As a Data Scientist , you’ll map every human–AI interaction to help brands turn AIs into their strongest advocates. You’ll build predictive models, develop sampling techniques, and optimize brand visibility in AI-driven search (e.g., ChatGPT, Perplexity). Your work will directly impact how businesses shape their presence in the generative AI era. What You’ll Do Develop and refine predictive models to analyze and forecast AI-driven search behavior. Design sampling and data classification techniques to improve AI-driven brand insights. Leverage LLMs/NLP to extract meaningful insights from unstructured text data. Work with large datasets, ensuring efficiency in querying, cleaning, and classification. Design and conduct A/B tests or other experimentation frameworks to measure impact. Collaborate with the founding team to turn complex data insights into actionable business strategies. Who You Are 3+ years of advanced analytics experience in technology, marketing, or advertising. Proficient in Python, R, and SQL, with hands-on experience querying and analyzing large datasets. Expertise in data sampling techniques, including stratified sampling, bootstrapping, and extrapolation. Strong background in predictive modeling and applying ML techniques to estimate event frequency. Deep understanding of Large Language Models (LLMs), their limitations, and real-world applications. Passionate about staying on top of AI research, especially in multi-modal AI and LLM advancements. Comfortable in a fast-moving, high-performance startup environment. This is an on-site role in our Union Square office —designed for builders who thrive on speed, iteration, and impact. We’re happy to support visa sponsorship for qualified international candidates. For this role, the expected base salary range is $140,000 – $230,000 . Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.

WHO WE ARE TIFIN builds AI-powered financial technology that personalizes and improves financial advice across consumers, advisors, workplaces, and institutions. Our modular platform embeds finance-tuned AI to deliver dynamic, tailored guidance at scale-without added complexity. Combining proprietary models, specialized data, and a fast-paced engineering culture, we create secure, compliant tools that power real outcomes. Other differentiators include: Speed: Our ability to stand up businesses at 2-4x the speed of typical fintech companies (building MVPs in 3 months and production-ready products in 6-12 months) Track Record: Previous exits include 55ip (acquired by J.P. Morgan) and Paralel Strategic Partners: Partners include J.P. Morgan, Franklin Templeton, Morningstar, Broadridge, Hamilton Lane, Motive Partners and SEI. World-Class Team: Complimentary financial services & technical expertise from Google, Microsoft, Uber, PayPal, eBay, Techstars, BlackRock, LPL, Franklin Templeton, Morgan Stanley, Broadridge and more. OUR VALUES: Go with your GUT Grow at the Edge. We are driven by personal growth fueled by a beginner's mindset. We get out of our comfort zone and keep egos aside. With self-awareness and integrity we strive to be the best we can possibly be. No excuses. Understanding through Listening and Speaking the Truth. We communicate with authenticity, precision and integrity to create a shared understanding. We identify opportunities within constraints and propose solutions in service to the team. I Win for Teamwin. We believe in staying within our genius zones to succeed and taking accountability for driving results. We are all individual contributors first and always thinking about what can be better. ROLE OVERVIEW As a Data Scientist you will own and lead projects across one or more of our supervised machine learning product lines. We are looking for individuals who have worked end-to-end and have experience building products where machine learning models are a core component. This is an individual contributor role working closely with data science, engineering, client success and business leadership, reporting into the CEO. PROJECTS Supervised ML Models: Build, train, and validate supervised machine learning models to predict engagement, churn and conversion and deliver lead scoring, segmentation, and recommendations. ML & Product Integration: Work with engineering teams to integrate models into the platform. Human-in-the-Loop Collaboration: AI-powered co-pilot for advisors and other user personas, streamlining workflows such as prospecting, conversion, and client servicing. Product Development: Collaborate with Clients, Customer Success and Leadership to scope and develop new models and product features. WHAT YOU'LL DO Design and implement ML solutions to deliver measurable ROI within our clients' fund distribution channels Develop across the data science pipeline, from feature store ETL to batch transform jobs with trained ML models, leveraging AWS (Sagemaker, Redshift, S3) and/or Snowflake Model complex fund distribution problems and discover insights through the use of machine learning and statistics techniques (A/B testing, RCTs) Create meaningful data visualizations to communicate results and highlight business impact Manage product development deadlines, overcome roadblocks, and manage internal and external expectations WHAT YOU'LL BRING 4+ years of experience in applied data science working in Python, SQL, DBT Experience shipping ML products, including feature engineering, training, and tuning machine learning models. Resilience and adaptability - experience working at early-stage startups is a plus COMPENSATION AND BENEFITS The expected starting salary range for this position in Colorado is $140,000 - $180,000. In addition to cash compensation, a meaningful equity stake is a significant part of the overall package. Package also includes benefits program eligibility: Comprehensive health, dental and vision coverage, retirement benefits and flexible PTO. TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. Please see more details on our privacy practices in our Privacy Notice here.

WHO WE ARE TIFIN builds AI-powered financial technology that personalizes and improves financial advice across consumers, advisors, workplaces, and institutions. Our modular platform embeds finance-tuned AI to deliver dynamic, tailored guidance at scale-without added complexity. Combining proprietary models, specialized data, and a fast-paced engineering culture, we create secure, compliant tools that power real outcomes. Other differentiators include: Speed: Our ability to stand up businesses at 2-4x the speed of typical fintech companies (building MVPs in 3 months and production-ready products in 6-12 months) Track Record: Previous exits include 55ip (acquired by J.P. Morgan) and Paralel Strategic Partners: Partners include J.P. Morgan, Franklin Templeton, Morningstar, Broadridge, Hamilton Lane, Motive Partners and SEI. World-Class Team: Complimentary financial services & technical expertise from Google, Microsoft, Uber, PayPal, eBay, Techstars, BlackRock, LPL, Franklin Templeton, Morgan Stanley, Broadridge and more. OUR VALUES: Go with your GUT Grow at the Edge. We are driven by personal growth fueled by a beginner's mindset. We get out of our comfort zone and keep egos aside. With self-awareness and integrity we strive to be the best we can possibly be. No excuses. Understanding through Listening and Speaking the Truth. We communicate with authenticity, precision and integrity to create a shared understanding. We identify opportunities within constraints and propose solutions in service to the team. I Win for Teamwin. We believe in staying within our genius zones to succeed and taking accountability for driving results. We are all individual contributors first and always thinking about what can be better. ROLE OVERVIEW As a Data Scientist you will own and lead projects across one or more of our supervised machine learning product lines. We are looking for individuals who have worked end-to-end and have experience building products where machine learning models are a core component. This is an individual contributor role working closely with data science, engineering, client success and business leadership, reporting into the CEO. PROJECTS Supervised ML Models: Build, train, and validate supervised machine learning models to predict engagement, churn and conversion and deliver lead scoring, segmentation, and recommendations. ML & Product Integration: Work with engineering teams to integrate models into the platform. Human-in-the-Loop Collaboration: AI-powered co-pilot for advisors and other user personas, streamlining workflows such as prospecting, conversion, and client servicing. Product Development: Collaborate with Clients, Customer Success and Leadership to scope and develop new models and product features. WHAT YOU'LL DO Design and implement ML solutions to deliver measurable ROI within our clients' fund distribution channels Develop across the data science pipeline, from feature store ETL to batch transform jobs with trained ML models, leveraging AWS (Sagemaker, Redshift, S3) and/or Snowflake Model complex fund distribution problems and discover insights through the use of machine learning and statistics techniques (A/B testing, RCTs) Create meaningful data visualizations to communicate results and highlight business impact Manage product development deadlines, overcome roadblocks, and manage internal and external expectations WHAT YOU'LL BRING 4+ years of experience in applied data science working in Python, SQL, DBT Experience shipping ML products, including feature engineering, training, and tuning machine learning models. Resilience and adaptability - experience working at early-stage startups is a plus COMPENSATION AND BENEFITS The expected starting salary range for this position in Colorado is $140,000 - $180,000. In addition to cash compensation, a meaningful equity stake is a significant part of the overall package. Package also includes benefits program eligibility: Comprehensive health, dental and vision coverage, retirement benefits and flexible PTO. TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. Please see more details on our privacy practices in our Privacy Notice here.

About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact Marvell’s AI Development team focuses on Agentic AI - systems that don’t just answer questions but take meaningful actions, orchestrate workflows, and assist with complex tasks. Engineers on this team contribute to the design, implementation, and optimization of AI agents and frameworks that bridge the gap between theoretical research and practical, real-world deployment, and gains exposure to every stage of the development lifecycle, from prototyping agent workflows to deploying production-ready solutions. The team collaborates with cross-functional teams to bring innovative, secure, and scalable Agentic AI solutions to life, applying knowledge of machine learning, data science, and software engineering to create impactful technologies that improve business outcomes. What You Can Expect Lead the design and development of Agentic AI applications and workflows for real-world use cases Conduct research and experiments on new AI agent architectures and orchestration strategies Implement and optimize machine learning models and agent pipelines for performance and scalability Develop prototypes and proof-of-concept AI agents capable of performing multi-step tasks Benchmark and analyze the performance of existing AI agents, proposing enhancements to improve reliability and effectiveness Work with data engineers and software developers to integrate agents into larger platforms and applications Support the development of secure and compliant agent-based workflows that handle sensitive data Stay up-to-date with advancements in agentic AI, machine learning, and automation frameworks and apply them to ongoing projects What We're Looking For Minimum Qualifications: Currently pursuing a bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or other related fields with an anticipated graduation date between Winter 2026 and Spring 2027 Proficiency in Python, R, and Java Solid understanding of machine learning concepts, algorithms, and frameworks such as TensorFlow and PyTorch Prior exposure to data analysis, statistical modeling, and experimental design Knowledge of software development best practices, including version control (e.g., Git) Strong problem-solving skills and ability to work in a collaborative team environment Preferred Qualifications: Previous experience with AI/ML projects, especially agent-based AI development Familiarity with advanced topics such as deep learning, reinforcement learning, or natural language processing Exposure to agent orchestration frameworks (e.g., LangChain, CrewAI, Semantic Kernel) Familiarity with cloud computing services (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes) Understanding of DevOps principles and experience with CI/CD pipelines Experience optimizing machine learning models for deployment and scalability Familiarity with research tools and libraries (e.g., SciPy, Keras, Hugging Face Transformers) Expected Base Pay Range (USD) 27 - 55, $ per hour. The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions. Additional Compensation and Benefit Elements For Internship roles, we are proud to offer the following benefits package during the internship - medical, dental and vision coverage, perks and discount programs, wellness & mental health support including coaching and therapy, paid holidays, paid volunteer days and paid sick time. Additional compensation may be available for intern PhD candidates. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com . Interview Integrity As part of our commitment to fair and authentic hiring practices, we ask that candidates do not use AI tools (e.g., transcription apps, real-time answer generators like ChatGPT, CoPilot, or note-taking bots) during interviews. Our interviews are designed to assess your personal experience, thought process, and communication skills in real-time. If a candidate uses such tools during an interview, they will be disqualified from the hiring process. This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment. #LI-JY1

Job Description: The Los Angeles Unified School District seeks qualified proposers to provide Data Science Services on behalf of the Information Technology Services. Responsibilities: Set up R Studio Workbench, Connect, and Package Manager on a Linux server. Manage libraries and versions. Write required security plan. Work with security to connect the server to Snowflake and other data sources. Provision server access to data scientists, including R Studio Server, sftp, and command line. Provide training and support to data scientists, including training on visualization packages like ggplot2, Quatro, and Shiny. Guide data scientists on how to use version control with GIT/Azure Devops. Resource must have at least three (3) years of experience in providing services as listed

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. The OpportunityAs a Cloud Engineering, Data & Analytics - Data Science professional, you will engage in the dynamic world of data analysis, leveraging your skills to transform complex data into actionable insights. This role involves working closely with clients to understand their needs and deliver data-driven solutions that enhance decision-making processes. You will be at the forefront of utilizing advanced data analytics tools and techniques to uncover trends and opportunities within financial markets.As an Associate, you will focus on learning and contributing to client engagements while developing your skills and knowledge to deliver quality work. You will be exposed to clients, learning how to build meaningful connections, manage projects, and inspire others. This role encourages you to embrace challenges as opportunities for growth, enhancing your personal brand and technical knowledge.In this role, you will be part of a team that supports the Data and Analytics group, where you will apply your skills in data modeling, machine learning, and statistical analysis to deliver impactful solutions. Your contributions will be vital in helping clients navigate complex data landscapes and data integrity, and driving business success through informed decision-making.Responsibilities- Conducting complex data analysis to extract meaningful insights and support decision-making processes- Developing algorithms and predictive models using machine learning techniques to enhance data-driven insights- Utilizing Python and statistical analysis software for data modeling and validation tasks- Building and maintaining data pipelines to ensure seamless data integration and management- Creating interactive dashboards and visualizations using Power BI and Tableau to communicate data findings effectively- Collaborating with teams to conduct analytic research and customer analysis for business improvement- Implementing data security measures to protect sensitive information and maintain data integrity- Engaging in exploratory data analysis to identify trends and patterns within large datasets- Supporting client engagements by applying business data analytics techniques to address specific needsWhat You Must Have- Currently pursuing or have completed a Bachelor's degree- Client service associate positions are entry-level roles intended for job seekers who are completing or have recently completed their final academic year of educational requirementsWhat Sets You Apart- Preference for one of the following field(s) of study: Management Information Systems, Information Technology, Computer Science, Data Analytics, Data Science, Statistics, Mathematics- Preference for a 3.3 overall GPA- Demonstrating proficiency in Python and machine learning- Utilizing Power BI and Tableau for data visualization- Conducting complex data analysis and predictive analytics- Developing data-driven insights for client support- Engaging in algorithm development and data modeling- Excelling in data security and validation techniques-Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-workPwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.The salary range for this position is: $61,000 - $100,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

WHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW Data powers everything we do at CR—and it’s the foundation for our AI and machine learning efforts that are transforming how we serve consumers. The Data Engineer ( AI/ML & Data Science) will play a critical role in building the data infrastructure that powers advanced AI applications, machine learning models, and analytics systems across CR. Reporting to the Associate Director, AI/M & Data Science, in this role, you will design and maintain robust data pipelines and services that support experimentation, model training, and AI application deployment. If you’re passionate about solving complex data challenges, working with cutting-edge AI technologies, and enabling impactful, data-driven products that support CR’s mission, this is the role for you. This is a hybrid position. This position is not eligible for sponsorship or relocation assistance. How You'll Make An Impact As a mission based organization, CR and our Software team are pursuing an AI strategy that will drive value for our customers, give our employees superpowers, and address AI harms in the digital marketplace. We’re looking for an AI/ML engineer to help us execute on our multi-year roadmap around generative AI. As a Data Engineer ( AI/M & Data Science) you will: Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data to support AI/ML model and application development, evaluation, and monitoring. Build and optimize data processing workflows in Databricks , AWS SageMaker , or similar cloud platforms. Collaborate with AI/ML engineers to deliver clean, reliable datasets for model training and inference. Implement data quality, observability, and lineage tracking within the ML lifecycle. Develop Data APIs/microservices to power AI applications and reporting/analytics dashboards. Support the deployment of AI/ML applications by building and maintaining feature stores and data pipelines optimized for production workloads. Ensure adherence to CR’s data governance, security, and compliance standards across all AI and data workflows. Work with Product, Engineering and other stakeholders to define project requirements and deliverables. Integrate data from multiple internal and external systems, including APIs, third-party datasets, and cloud storage. ABOUT YOU You’ll Be Highly Rated If: You have the experience. You have 3+ years of experience designing and developing data pipelines, data models/schemas, APIs, or services for analytics or ML workloads. You have the education. You’ve earned a Bachelor’s degree in Computer Science, Engineering, or a related field. You have programming skills. You are skilled in Python , SQL , and have experience with Py Spark on large-scale datasets. You have experience with data orchestration tools such as Airflow, dbt and Prefect, plus CI/CD pipelines for data delivery. You have experience with Data and AI/ML platforms such as Databricks , AWS SageMaker or similar. You have experience working with Kubernetes on cloud platforms like - AWS , GCP , or Azure . You'll Be One of Our Top Picks If: You are passionate about automation and continuous improvement. You have excellent documentation and technical communication skills. You are an analytical thinker with troubleshooting abilities. You are self-driven and proactive in solving infrastructure bottlenecks. FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$120K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate’s particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Intern/Trainee Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you will have the chance to work on a variety of assignments, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are encouraged to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team’s success. During your time at the Firm, you start to establish your personal brand, paving the way to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. The OpportunityAs a Cloud Engineering, Data & Analytics - Data Science Intern, you will engage in a dynamic environment where you will support teams in delivering data-driven insights and solutions. This role offers a unique chance to immerse yourself in the world of data science, working alongside seasoned professionals to analyze complex datasets and contribute to impactful projects. As an Intern, you will focus on learning and gaining exposure to PwC's practices, supporting teams with basic tasks, and participating in projects that enhance your understanding of data analytics and its applications.In this role at PwC, you will have the opportunity to develop your skills in data modeling, financial data mining, and machine learning, while also gaining hands-on experience with tools like Python and statistical analysis software. You will be encouraged to ask questions, take initiative, and produce quality work that adds value to our clients and contributes to our team's success. This is an exciting opportunity to start building your personal brand and pave the way for future opportunities in the field of data science.Responsibilities- Supporting teams in data analysis and analytics projects to gain exposure to industry practices- Conducting research and gathering information to assist in the development of data-driven insights- Participating in algorithm development and machine learning initiatives to enhance predictive analytics capabilities- Utilizing tools such as Alteryx, Power BI, and Tableau for data visualization and complex data analysis- Assisting in data validation and data security processes to maintain data integrity- Engaging in customer analysis and business data analytics to inform strategic decision-making- Applying Python programming skills to develop and refine data models and statistical analysis- Collaborating with team members to create dashboards and reports that communicate key performance indicators and trendsWhat You Must Have- Currently pursuing or have completed a Bachelor's degree- Client service intern positions are entry-level roles intended for job seekers who are in their third year of a four-year degree program or fourth year of a five-year program at the time of application. Winter internships typically occur during the spring semester preceding the student's final year of school Summer internships typically take place during the summer preceding the student's final year of schoolWhat Sets You Apart- Preference for one of the following field(s) of study: Management Information Systems, Information Technology, Computer Science, Data Analytics, Data Science, Statistics, Mathematics- Preference for a 3.3 overall GPA- Demonstrating proficiency in Python for data analysis- Utilizing machine learning techniques for predictive analytics- Applying data visualization skills with Tableau and Power BI- Conducting complex data analysis to derive actionable insights- Developing algorithms to enhance data processing efficiency- Engaging in analytic research to support data-driven decisions-Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-workPwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

ABOUT TRUVIAN Want to work for a fast-paced and disruptive company that is working to revolutionize blood testing? Truvian is a healthcare company at the intersection of diagnostics and consumer tech. We are developing an automated, benchtop diagnostic system to provide lab-accurate results in 30 minutes for a comprehensive suite of health tests. Our proprietary approach, for which we are seeking FDA clearance, is intended to fulfill the promise of delivering accessible and affordable blood testing from one small blood sample, in minutes, in a retail setting or private clinic. To us, our work at Truvian is more than a job – It’s a mission. We are a culture dedicated to discovery and empowerment. We are trailblazers on the path to put health information where it belongs - in the hands of the individual. We are partners in the belief that talented people, working as a team, can make every day an adventure. Come join us as we realize our vision to make routine health testing convenient, affordable, and actionable for today’s connected consumers! JOB SUMMARY Truvian is seeking a strategic and technically adept Director, Clinical Data Management & Data Science build and lead a multidisciplinary team responsible for clinical data strategy, management, analytics, and statistical sciences. This role is pivotal in ensuring data integrity, regulatory compliance, and operational efficiency across the product lifecycle—from early research through regulatory submission and post-market surveillance. This position is ONSITE. The Director will architect and scale Truvian’s clinical data ecosystem — spanning database design, data pipeline integration, clinical data quality, statistical analysis, and data visualization — to support assay validation, regulatory submissions, and real-world evidence generation. The ideal candidate combines strategic leadership with hands-on technical expertise in biostatistics, clinical data systems, and data science for diagnostics. This role requires in-depth expertise in the IVD industry, including knowledge of FDA regulations (21 CFR Part 11, Part 820), and a proven ability to lead data initiatives in a regulated environment. HERE’S WHY YOU WILL LOVE THIS ROLE Unique Growth Opportunity: Gain hands-on experience across clinical studies, data analysis, regulatory submissions, and product development. Data-Driven Innovation: Work alongside experienced leaders, contributing to real-world healthcare solutions backed by rigorous data. Fast-Paced Start-Up Culture: Be part of an agile, mission-driven team where your work has immediate impact. Professional Development: Receive mentorship and opportunities to expand your technical and industry knowledge. Meaningful Impact: Help bring innovative diagnostic products to market that can improve patient outcomes. You love and thrive in a fast-paced and dynamic environment where you can implement fresh ideas, new processes, and make things happen quickly without a bunch of red tape You’ll have great perks such as: Generous Benefits (Medical/Dental/Vision/EAP/Paid Life Insurance/LTD/401K), Flexible vacation Kombucha and cold brew on tap, craft coffee, and a variety of healthy snacks WHAT YOU WILL DO Strategic Leadership Develop and execute a unified, robust, and scalable data strategy to support clinical trials, R&D studies, and regulatory submissions. Build and mentor a high-performing team of data managers, database programmers, biostatisticians, and data scientists. Serve as a senior advisor to Clinical, R&D, and Regulatory leaders on data architecture, analytics, and evidence strategies. Ensure alignment of data architecture with business goals and regulatory requirements. Data Infrastructure and Systems Development Lead the design, integration, and governance of clinical databases and data pipelines from the ground up. Oversee implementation and validation of EDC systems, LIMS, and data warehouse tools to harmonize internal and CRO data sources. Guide the creation of user-friendly tools for data input, extraction, and analysis across teams. Ensure compliance with 21 CFR Part 11, GCP, HIPAA, and other applicable data regulations. Hire, mentor, and manage a team of data professionals to support clinical and R&D initiatives. Clinical Data Management Establish SOPs, standards, and templates for data collection, cleaning, reconciliation, and database lock. Direct data management activities for clinical studies, ensuring data quality, completeness, and traceability. Collaborate with CRO partners and central labs to ensure consistent data flow and integrity. Biostatistics & Data Science Provide strategic direction for statistical design, analysis, and interpretation of clinical and analytical validation studies. Oversee development of statistical analysis plans (SAPs) and ensure robustness of models and results. Guide exploratory and confirmatory data analyses, leveraging both traditional biostatistics and modern data science/ML techniques. Drive the development of data visualization dashboards and analytic tools to support real-time decision-making. Cross-Functional Collaboration Partner with Clinical Operations, Regulatory Affairs, Quality, and Product Development teams to ensure alignment of data strategy with business goals. Support regulatory submissions (FDA, IVDR) through clear, validated, and reproducible data outputs. Translate complex data analyses into compelling, clear narratives for scientific and regulatory audiences. WHAT YOU WILL BRING Required: Master’s or PhD in Biostatistics, Data Science, Biomedical Informatics, or related quantitative field. Minimum of 10 years of experience in clinical data management, biostatistics, or data science roles within diagnostics, medical devices, or pharmaceuticals Minimum of 5 years of management and leadership experience Proven experience building and leading data teams (data management, biostatistics, and informatics) from the ground up in a regulated environment. Demonstrated ability to design and integrate clinical databases and data pipelines across multiple systems and vendors. Strong command of SQL and relational databases (e.g., PostgreSQL, MS SQL Server). Deep understanding of FDA regulations, including 21 CFR Part 11, Part 820, GCP, ICH E6, and regulatory requirements for IVD data. Familiarity with EDC systems (Medidata, REDCap, etc.), data visualization tools (Tableau, Spotfire, Power BI), and data standards (CDISC/SDTM, HL7/FHIR). An analytical mindset with strong attention to detail and the ability to draw meaningful insights from complex datasets. Proactive, self-motivated, and eager to take ownership of tasks and learning opportunities. Exceptional communication skills and ability to translate complex statistical concepts and data into clear, actionable insights for technical and non-technical audiences. Comfortable working in a fast-paced, start-up environment with shifting priorities. Preferred: Knowledge of cloud platforms (AWS, Azure) and data governance frameworks. Startup or small-company experience building infrastructure from scratch Prior experience supporting FDA submission data requirements for IVDs (e.g., 510(k), PMA, EUA). SALARY RANGE $196,000 - $216,000 This range encompasses the diverse set of factors considered in making compensation decisions, including, but not limited to, experience, skills, knowledge, abilities, education, licensure, certifications, and other business and organizational needs. Salary offers are determined based on final candidate qualifications and experience. Placement within the compensation range is determined by internal equity and relevant qualifications. HOW TO STAND OUT Interested candidates are encouraged to submit a cover letter along with their resume. The cover letter is an excellent opportunity to share how your experience aligns with our mission, your approach to collaboration, and how your statistical expertise can support innovation in IVD assay development. Equal Opportunity Statement Truvian provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Powered by JazzHR

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Tempus' proprietary data and platform connect an entire ecosystem of real-world data to deliver real-time, actionable insights to researchers. Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care. The Scientific and Technological Solutions team is seeking a driven, intellectually curious member to bridge the gap between our cutting-edge analytical platform and the complex research questions of our clients. This role is central to client success and adoption of the Tempus Data Platform. You will serve as the primary technical and scientific resource, ensuring our clients can seamlessly integrate their research with our data and platform to derive meaningful, scientific answers. Key Responsibilities: Client Onboarding & Education: Lead the technical and scientific onboarding process for new clients, ensuring a smooth transition onto the Tempus Data Ecosystem and analytical platform. Scientific Problem Solving: Engage with clients (primarily researchers and scientists) to deeply understand their specific scientific hypotheses and questions (e.g., biomarker discovery, target identification, clinical trial design). Platform Guidance & Solutioning: Translate client scientific needs into actionable steps on the Tempus analytical platform. This includes designing workflows, structuring queries, and guiding the analysis of complex datasets (genomic, clinical, imaging). Technical Optimization: Identify and implement technological solutions and workflow improvements to make the client experience on the platform as easy, efficient, and intuitive as possible. Feedback Loop: Act as the voice of the client, collaborating closely with Tempus Product, Engineering, and Data Science teams to prioritize features and resolve technical challenges. Documentation & Training: Create high-quality technical documentation, tutorials, and training materials for clients on platform features and best practices for scientific analysis. Qualifications: Required Skills & Experience Advanced Scientific Degree: A Master’s or Ph.D. in a relevant scientific field (e.g., Computational Biology, Bioinformatics, Genomics, Data Science, or a related life science discipline). Data Analysis Proficiency: Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next-Generation Sequencing data, clinical trial data, real-world data). Technical Fluency: Hands-on experience with analytical tools and languages relevant to biomedical research. Having R coding experience is required. Knowing additional languages such Python and SQL and familiarity with cloud environments like AWS/GCP is a great added bonus . Team work: Proven ability to work collaboratively in a team environment and thrive in a fast-paced environment, willing to shift priorities seamlessly. Client-Facing Experience: Excellent written and verbal communication skills with a proven ability to explain complex technical and scientific concepts to both technical and non-technical audiences. Problem-Solving Mindset: A strong track record of identifying inefficiencies or scientific roadblocks and developing pragmatic, user-friendly solutions. Preferred (Bonus) Qualifications: Experience in the biotech, pharma, or healthcare technology space. Familiarity with distributed computing environments and modern analytical platforms. Direct experience with oncology research. Experience with R package development. Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, R Package development, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS. CHI: $80,000-$120,000 USDNYC/SF: $90,000-$135,000 USD The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Description Hi, We’re AppFolio We’re innovators, changemakers, and collaborators. We’re more than just a software company – we’re pioneers in cloud and AI who deliver magical experiences that make our customers’ lives easier. We’re revolutionizing how people do business in the real estate industry, and we want your ideas, enthusiasm, and passion to help us keep innovating. As a Data Science Engineer on our Business Data Platform (BDP) team, you will own the operational backbone of our data infrastructure. You will play a critical role in ensuring resilient, secure, and scalable systems that power analytics, AI, experimentation, and business decision-making across the company. This role bridges platform engineering, data governance, and DevOps—enabling seamless data delivery and access with leading-class observability and compliance. Your Impact Own the design, build, and maintenance of AppFolio’s Business Data Platform’s observability and testing solutions that identify reliability, scalability, or data quality issues and strive to continuously improve the platform. Build, monitor, and maintain CI/CD pipelines and orchestration tools to ensure timely and accurate data delivery. Manage service accounts, roles, and permissions across Snowflake, dbt, and BI tools. Own the creation of and performance of Data Pipeline SLOs. Create and enforce data access controls, masking policies, and encryption standards (at rest and in transit). Partner with InfoSec and Compliance to ensure auditability and privacy frameworks are implemented and upheld across the Business Data Platform. Maintain lineage and metadata documentation across key data domains. Implement and manage infrastructure-as-code for data platform components. Drive automation of routine operations (e.g., environment provisioning, credential rotation, usage monitoring). Partner with data engineers, data science engineers, data scientists, and analysts to improve platform usability and self-service capabilities. Document and evangelize best practices for data access, job orchestration, and environment management. Must Have 6+ years in DataOps, Data Platform Engineering, DevOps, or related roles within modern cloud data environments. Proficiency in data engineering tools and technologies - SQL, Python, Airflow, Mulesoft, Linux scripting, and dbt Strong Experience with cloud technology, especially AWS tech stack (s3, ec2, eks), Docker and Kubernetes Experience with cloud data warehouse technology, such as Snowflake, including data security and governance Advanced proficiency with Airflow Strong knowledge of CI/CD pipelines, GitOps workflows, codespaces, and infrastructure-as-code (Terraform etc.). Experience with building self-serve processes Familiarity with security standards and practices for data (IAM, encryption, audit logging). Familiar with Snowflake RBAC Location This role is a fully remote opportunity ; however, you can find out more about our locations by visiting our website . Compensation & Benefits The compensation that we reasonably expect to pay for this role is $167,200 - $209,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here . #LI-KB1 About AppFolio AppFolio is the technology leader powering the future of the real estate industry. Our innovative platform and trusted partnership enable our customers to connect communities, increase operational efficiency, and grow their business. For more information about AppFolio, visit appfolio.com. Why AppFolio Grow | We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves. Learn | We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills. Impact | We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities. Connect | We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed. Paddle as One. Learn more at appfolio.com/company/careers Statement of Equal Opportunity At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That’s why we’re a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you’re always welcome at AppFolio.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Tempus' proprietary data and platform connect an entire ecosystem of real-world data to deliver real-time, actionable insights to researchers. Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care. The Scientific and Technological Solutions team is seeking a driven, intellectually curious member to bridge the gap between our cutting-edge analytical platform and the complex research questions of our clients. This role is central to client success and adoption of the Tempus Data Platform. You will serve as the primary technical and scientific resource, ensuring our clients can seamlessly integrate their research with our data and platform to derive meaningful, scientific answers. Key Responsibilities: Client Onboarding & Education: Lead the technical and scientific onboarding process for new clients, ensuring a smooth transition onto the Tempus Data Ecosystem and analytical platform. Scientific Problem Solving: Engage with clients (primarily researchers and scientists) to deeply understand their specific scientific hypotheses and questions (e.g., biomarker discovery, target identification, clinical trial design). Platform Guidance & Solutioning: Translate client scientific needs into actionable steps on the Tempus analytical platform. This includes designing workflows, structuring queries, and guiding the analysis of complex datasets (genomic, clinical, imaging). Technical Optimization: Identify and implement technological solutions and workflow improvements to make the client experience on the platform as easy, efficient, and intuitive as possible. Feedback Loop: Act as the voice of the client, collaborating closely with Tempus Product, Engineering, and Data Science teams to prioritize features and resolve technical challenges. Documentation & Training: Create high-quality technical documentation, tutorials, and training materials for clients on platform features and best practices for scientific analysis. Qualifications: Required Skills & Experience Advanced Scientific Degree: A Master's or Ph.D. in a relevant scientific field (e.g., Computational Biology, Bioinformatics, Genomics, Data Science, or a related life science discipline). Data Analysis Proficiency: Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next-Generation Sequencing data, clinical trial data, real-world data). Technical Fluency: Hands-on experience with analytical tools and languages relevant to biomedical research. Having R coding experience is required. Knowing additional languages such Python and SQL and familiarity with cloud environments like AWS/GCP is a great added bonus . Team work: Proven ability to work collaboratively in a team environment and thrive in a fast-paced environment, willing to shift priorities seamlessly. Client-Facing Experience: Excellent written and verbal communication skills with a proven ability to explain complex technical and scientific concepts to both technical and non-technical audiences. Problem-Solving Mindset: A strong track record of identifying inefficiencies or scientific roadblocks and developing pragmatic, user-friendly solutions. Preferred (Bonus) Qualifications: Experience in the biotech, pharma, or healthcare technology space. Familiarity with distributed computing environments and modern analytical platforms. Direct experience with oncology research. Experience with R package development. Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, R Package development, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS. CHI: $80,000-$120,000 USD NYC/SF: $90,000-$135,000 USD The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Description Part of the Brandtech Group, fifty-five is a global data company with 300+ employees. We help brands collect, analyze and activate their data across paid, earned and owned media channels to increase their marketing ROI and improve customer acquisition and retention. Headquartered in Paris with offices all around the world, the data company was named by Forbes and Statista as one of the Best Consulting Firms in 2024. Role You will join our New York City consulting team as well as our global team of Data Science experts, supporting projects in marketing analytics, data science, measurement and reporting initiatives. You will bring your data marketing and your data science expertise to the team and work with other consultants and technical experts to develop world-leading solutions for our clients. Responsibilities: As a Data Marketing & Data Science Consultant, you will leverage your business and technical skills to perform various tasks for our clients: Understand our clients’ data marketing needs, transform them into actionable solutions, and oversee their implementations Synthesize detailed data and information, and communicate key insights and technical concepts to stakeholders of different disciplines, both internally at 55 and externally with our clients Collaborate with 55's data scientists and engineers to scope and check machine learning and AI project requirements Develop and adapt data science solutions using a mix of programming and analytics skills Help the team develop new business opportunities Profile: Bachelor's or Master’s in a relevant degree (Business, Marketing, Computer Science, Mathematics…) 1-4 years of working experience in analytics for digital marketing and/or digital media and/or consulting Proficiency in SQL needed, other data programming languages (Python…) are a plus Experience with data dashboarding (e.g. Tableau, Power BI, Looker Studio) Familiarity with cloud computing platforms, particularly GCP Strong verbal, written and visual communication skills for technical and non-technical audiences, both internal and external Ability to advise on best practices and governance for data science tools and processes, and to document and share knowledge throughout projects Initiative to create innovative solutions for our clients’ problems and business objectives related to marketing data Ability to drive next steps and deliverables from initial idea to execution as part of a cross-disciplinary team Ability to learn new concepts and new solutions arising from the ever-changing environment of data marketing We encourage you to apply, even if you don't meet every single qualification listed. Your capacity for growth and a strong desire to learn and evolve are the most critical traits we look for. We're committed to giving you the tools and support you need to make this happen. Benefits: Competitive salary range: $65,000/yr - $100,000/yr based on experience 20 days of PTO, 5 sick days, and generous company holidays (13 in 2025) Benefits eligibility upon hire, including medical, dental, vision and 401K US headquarters in prime NYC neighborhood - SoHo Monthly connectivity stipend Travel opportunities (including to Europe) Introductory training with our global team, and constant support from our internal experts to continually grow your skills and develop new expertise

Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're pioneers in cloud and AI who deliver magical experiences that make our customers' lives easier. We're revolutionizing how people do business in the real estate industry, and we want your ideas, enthusiasm, and passion to help us keep innovating. As a Data Science Engineer on our Business Data Platform (BDP) team, you will own the operational backbone of our data infrastructure. You will play a critical role in ensuring resilient, secure, and scalable systems that power analytics, AI, experimentation, and business decision-making across the company. This role bridges platform engineering, data governance, and DevOps-enabling seamless data delivery and access with leading-class observability and compliance. Your Impact Own the design, build, and maintenance of AppFolio's Business Data Platform's observability and testing solutions that identify reliability, scalability, or data quality issues and strive to continuously improve the platform. Build, monitor, and maintain CI/CD pipelines and orchestration tools to ensure timely and accurate data delivery. Manage service accounts, roles, and permissions across Snowflake, dbt, and BI tools. Own the creation of and performance of Data Pipeline SLOs. Create and enforce data access controls, masking policies, and encryption standards (at rest and in transit). Partner with InfoSec and Compliance to ensure auditability and privacy frameworks are implemented and upheld across the Business Data Platform. Maintain lineage and metadata documentation across key data domains. Implement and manage infrastructure-as-code for data platform components. Drive automation of routine operations (e.g., environment provisioning, credential rotation, usage monitoring). Partner with data engineers, data science engineers, data scientists, and analysts to improve platform usability and self-service capabilities. Document and evangelize best practices for data access, job orchestration, and environment management. Must Have 6+ years in DataOps, Data Platform Engineering, DevOps, or related roles within modern cloud data environments. Proficiency in data engineering tools and technologies - SQL, Python, Airflow, Mulesoft, Linux scripting, and dbt Strong Experience with cloud technology, especially AWS tech stack (s3, ec2, eks), Docker and Kubernetes Experience with cloud data warehouse technology, such as Snowflake, including data security and governance Advanced proficiency with Airflow Strong knowledge of CI/CD pipelines, GitOps workflows, codespaces, and infrastructure-as-code (Terraform etc.). Experience with building self-serve processes Familiarity with security standards and practices for data (IAM, encryption, audit logging). Familiar with Snowflake RBAC Location This role is a fully remote opportunity; however, you can find out more about our locations by visiting our website. Compensation & Benefits The compensation that we reasonably expect to pay for this role is $167,200 - $209,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here. #LI-KB1 About AppFolio AppFolio is the technology leader powering the future of the real estate industry. Our innovative platform and trusted partnership enable our customers to connect communities, increase operational efficiency, and grow their business. For more information about AppFolio, visit appfolio.com. Why AppFolio Grow | We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves. Learn | We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills. Impact | We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities. Connect | We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed. Paddle as One. Learn more at appfolio.com/company/careers Statement of Equal Opportunity At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That's why we're a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you're always welcome at AppFolio. By submitting this form, I acknowledge I have reviewed AppFolio's Privacy Policy.

Description Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a software company - we're pioneers in cloud and AI who deliver magical experiences that make our customers' lives easier. We're revolutionizing how people do business in the real estate industry, and we want your ideas, enthusiasm, and passion to help us keep innovating. As a Data Science Engineer on our Business Data Platform (BDP) team, you will own the operational backbone of our data infrastructure. You will play a critical role in ensuring resilient, secure, and scalable systems that power analytics, AI, experimentation, and business decision-making across the company. This role bridges platform engineering, data governance, and DevOps-enabling seamless data delivery and access with leading-class observability and compliance. Your Impact Own the design, build, and maintenance of AppFolio's Business Data Platform's observability and testing solutions that identify reliability, scalability, or data quality issues and strive to continuously improve the platform. Build, monitor, and maintain CI/CD pipelines and orchestration tools to ensure timely and accurate data delivery. Manage service accounts, roles, and permissions across Snowflake, dbt, and BI tools. Own the creation of and performance of Data Pipeline SLOs. Create and enforce data access controls, masking policies, and encryption standards (at rest and in transit). Partner with InfoSec and Compliance to ensure auditability and privacy frameworks are implemented and upheld across the Business Data Platform. Maintain lineage and metadata documentation across key data domains. Implement and manage infrastructure-as-code for data platform components. Drive automation of routine operations (e.g., environment provisioning, credential rotation, usage monitoring). Partner with data engineers, data science engineers, data scientists, and analysts to improve platform usability and self-service capabilities. Document and evangelize best practices for data access, job orchestration, and environment management. Must Have 6+ years in DataOps, Data Platform Engineering, DevOps, or related roles within modern cloud data environments. Proficiency in data engineering tools and technologies - SQL, Python, Airflow, Mulesoft, Linux scripting, and dbt Strong Experience with cloud technology, especially AWS tech stack (s3, ec2, eks), Docker and Kubernetes Experience with cloud data warehouse technology, such as Snowflake, including data security and governance Advanced proficiency with Airflow Strong knowledge of CI/CD pipelines, GitOps workflows, codespaces, and infrastructure-as-code (Terraform etc.). Experience with building self-serve processes Familiarity with security standards and practices for data (IAM, encryption, audit logging). Familiar with Snowflake RBAC Location This role is a fully remote opportunity; however, you can find out more about our locations by visiting our website. Compensation & Benefits The compensation that we reasonably expect to pay for this role is $167,200 - $209,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity. Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here. #LI-KB1 About AppFolio AppFolio is the technology leader powering the future of the real estate industry. Our innovative platform and trusted partnership enable our customers to connect communities, increase operational efficiency, and grow their business. For more information about AppFolio, visit appfolio.com. Why AppFolio Grow | We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves. Learn | We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills. Impact | We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities. Connect | We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed. Paddle as One. Learn more at appfolio.com/company/careers Statement of Equal Opportunity At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That's why we're a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you're always welcome at AppFolio. By submitting this form, I acknowledge I have reviewed AppFolio's Privacy Policy.

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

About Axtria Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes. Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement. As a Principal AI & Data Science Client Lead you will spearhead P&L ownership, drive strategic growth initiatives, and scale high-impact AI/ML and agentic system deployments across commercial, medical, and clinical domains for global life sciences clients. This executive-track role blends client engagement, consultative sales, solution innovation, and global delivery leadership. Your mandate is to expand strategic partnerships, generate multi-million-dollar revenue streams, and deliver measurable outcomes through the intelligent application of GenAI, predictive modeling, NLP, and agentic workflows. Key Responsibilities Strategic Growth & Executive Partnership Lead a $10M+ portfolio with full P&L accountability driving sustainable revenue growth, margin improvement, and delivery excellence. Partner with CxO and VP-level stakeholders across the top 20 global pharma clients to define AI/ML strategies that enable data-driven decisioning and competitive differentiation. Shape multi-year transformation roadmaps aligned with client business priorities in brand strategy, market access, patient engagement, and medical excellence. Influence account strategy, co-investment initiatives, and alliance partnerships to unlock enterprise-scale value creation. Consultative Advisory & Enterprise Transformation Serve as an executive sponsor and trusted advisor , guiding clients through the design and adoption of modern data, analytics, and AI operating models. Translate complex data science concepts into actionable strategies that enhance commercial performance, improve patient insights, and accelerate innovation cycles. Oversee large-scale, cross-functional delivery programs—ensuring outcomes rooted in scientific rigor, operational scalability, and ethical AI. Direct the design and deployment of GenAI ecosystems (LLMs, RAG, agentic architectures) and predictive platforms powering next-generation decision intelligence. Innovation & Thought Leadership Shape the firm’s innovation agenda by leading the creation of agentic solutions , reusable AI frameworks, and domain-specific GenAI accelerators. Contribute to Axtria’s IP and market differentiation through published insights, executive forums, and platform development. Champion responsible AI principles—ensuring transparency, fairness, and patient-centricity in all AI-driven engagements. Capability Building & Global Leadership Build and lead a global network of AI/ML and GenAI professionals across the US, India, and EU, fostering a culture of innovation and excellence. Mentor emerging leaders, advancing technical and consultative capabilities within the organization. Drive a high-performance culture centered on continuous learning, measurable business value, and positive societal impact. Experience: 18+ years in data science, AI/ML consulting, or digital transformation, with a minimum of 10 years focused on life sciences or healthcare. Bachelor’s degree a must w/ master’s or PhD in Data Science, Computer Science, Biostatistics, Epidemiology, Engineering, or related quantitative field. Proven success in owning and growing $10M+ P&L, with deep experience in consultative selling, client management, and strategic growth. Led complex, enterprise-scale AI/ML transformations in commercial pharma, HEOR, RWE, and patient analytics. Hands-on expertise in GenAI (LLMs, RAG, multi-agent systems), causal modeling, predictive analytics, and NLP. Familiarity with ML engineering at scale—cloud-native deployments (AWS, GCP, Azure), MLOps, and responsible AI frameworks. Trusted advisor to SVP/CXO stakeholders; fluent in translating science to strategic value. Strong executive presence and ability to influence business, IT, and analytics functions. Exceptional track record in building global teams and delivering innovation at scale. Additional Details Hybrid work model (3 days onsite) Waltham, MA or client. Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO. Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics. Pay Transparency Laws Salary range or hourly pay range for the position The salary range for this position is $204,250 to $312,000 annually. The actual salary will vary based on the applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on the applicant’s geographic location.The salary range reflected is based on the primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location.#LI-MHT1 Powered by JazzHR

Company: Virtú Investments Location: San Diego, CA Position: Associate or Director of Data Science (title commensurate with experience and skill set) Time Commitment: Full time About Virt ú Investments Founded in 1997, Virtú Investments is a multifamily investment manager with nearly three decades of cycle-tested results. We combine deep market insight, full-scope execution, and a collaborative culture to create lasting value for our investors and partners. We are scaling our data‑driven and AI‑enabled capabilities to improve acquisition, disposition, and portfolio management decision making. The Opportunity As our Associate or Director of Data Science, you will be the primary technical analyst who turns raw property, market, and operational data into actionable insights for the Chief Investment Officer (CIO) and Virtú's Investment Committee. You will: Be instrumental in designing and implementing the company's data science platform Own data‑ingestion pipelines from our data sources using Python/SQL. Build statistical models, dashboards, and other ad hoc analyses that inform and drive company strategy around acquisitions, dispositions, asset management, and market selection. Translate complex findings into concise narratives and visualizations for senior investment leadership and capital partners. Key Responsibilities % Time What you'll do Why it matters 50% Advanced Analytics & ML – Work with the CIO to deploy data science techniques across all available company data to inform the company's growth strategy. Examples include developing rent or price forecasting models, geospatial analyses, market grade/ranking, etc. Drives faster, evidence‑based buy/sell decisions and operational efficiencies. 30% Data Engineering & Governance – design repeatable ETL pipelines from Yardi, RealPage, CoStar, and other data sources; enforce data‑quality standards. Ensures analyses and BI dashboards are comprehensive, and reflect trustworthy data. 20 % Insight Delivery – craft executive‑level presentation decks, self‑service BI dashboards, and memos distilling your analysis and findings into clear recommendations. Bridges the last‑mile gap between analysis and investment action. Qualifications 5+ years experience in a data science role, delivering production analytics or machine learning solutions (real‑estate/finance experience a plus). Fluency in Python (pandas, scikit‑learn, PyTorch/TensorFlow) and SQL; comfortable querying and optimizing data pipelines. Proven ability to visualize data effectively (Power BI, Tableau, Plotly, etc.) and communicate with both technical and non‑technical stakeholders. Self starter, with ability to immediately contribute to the design of a data science platform for the company. Bachelor's degree in data science, computer science, statistics, economics, engineering, or related quantitative field (Master's degree a plus). Strong written and verbal communication skills, including ability to effectively communicate with non-technical stakeholders. Differentiators Prior multifamily underwriting or property‑management‑system exposure (Yardi, Real Page). Experience with Azure DevOps or GitHub Actions for analytics workflows. Geospatial analysis skills – analyzing location‑based data (map layers, drive‑time polygons, census demographics) to spot micro‑market trends. Familiarity with vector search / LLM prompt engineering (Azure AI Search, Pinecone). Why Join Virtú Collaborative, high-performance culture. Competitive compensation package with benefits. Nearly three decades of investment expertise and a strong track record of success. Professional growth opportunities within a rapidly expanding investment platform. Reporting Line & Team Structure Reports directly to the Chief Investment Officer (CIO). Partners daily with Acquisitions, Asset Management, and Portfolio Management. May mentor junior analysts as the function scales. Location & Work Style Office Location: San Diego, CA Schedule: 5 days per week in office. Travel: none expected beyond optional conferences or off‑sites. Compensation & Benefits Base Salary Range: $130,000 - $180,000 (commensurate with experience and skill set) Annual Performance Bonus: 10-20% of base salary Benefits: Full medical, dental, and 401(k) with employer match

Associate Data Science Product Manager Launch Program Overview: Skip the “entry-level grunt-work” and start making a real impact on Day 1. The Launch Program is your opportunity to onboard into your full-time role at Red Ventures in a cohort-style environment that provides in-depth training on our beliefs, culture, business model, and leadership. Your first few weeks will be spent alongside a cross-functional cohort of new Red Ventures employees starting their careers across various roles and teams. These individuals will become your built-in support system and community as you navigate the start of your career with us. After your initial onboarding period, you’ll join one of our teams, meet your manager and mentor, and find unparalleled opportunities to make a substantial impact and quickly advance your career. We believe successful Data Science Product Managers have a wide set of experiences and skill sets in the data domain. This hybrid position offers you hands-on opportunities in data science, data analysis, and product management. In your first two years, you’ll get repetitions in contributing to product life cycles via product analytics, roadmap support, model building, and influential communication with product leadership. What You'll Do: As an Associate Data Science Product Manager, you will play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions to create value for both our business and our customers. Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action. Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead. Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as: Data pipelines to gather, manipulate, prepare, and visualize large datasets Machine learning models for offline and proof-of-concept use cases Agentic workflows to automate tasks or for reasoning capabilities for specific features in your product End to end ownership of experiments. Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative. Promote adoption and usage of your product and tooling. Interact directly with end-users for training, feedback, and user testing. Stay up-to-date with advancements in machine learning and generative AI to identify innovative ways to solve business challenges. Who you are: Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation. Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles. Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact. Showcases high EQ - can collaborate effectively in a team environment. Experiences you’ve had: Graduating with a bachelor's or master's degree in Summer 2026, with academic and/or practical experience in fields such as computer science, data science, statistics, or product management . (Start date in our August 2026 cohort) Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau). Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT). Thorough knowledge in statistics and machine learning techniques. Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences. Exposure to and/or interest in technical development of software components and production models to learn how to form opinions on level of effort and feasibility. Who We Are: Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit www.redventures.com . Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com This role is not eligible for sponsorship or transfer of visa sponsorship at this time. If you are based in California, we encourage you to read this important information for California residents linked here . Click here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.