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Associate Data Scientist Jobs

5 open positions found · Salary range: From $54

View Senior Associate, Data Scientist - Alternative Data Strategy
C

Senior Associate, Data Scientist - Alternative Data Strategy

Capital OneMcLean, VA

From $135,600/yr

Senior Associate, Data Scientist - Alternative Data Strategy Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Alternative Data Strategy team drives credit decisioning forward by integrating non-traditional datasets into US Card strategies. As a Data Scientist, you will evaluate emerging vendors and data products, engineer high-impact features, build scalable processing and monitoring systems, and serve as the dedicated data domain expert guiding all users on dataset applications. In this role, you will also navigate risk governance for vendor models and build challenger models using new data to enhance existing ones. The scope involves rich cross-functional collaboration and continuous learning opportunities. Role Description In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Flex your interpersonal skills to translate the complexity of your work into tangible business goals * This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. The Ideal Candidate is: * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. * Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. * A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: * Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * Experience working with AWS * At least 2 years’ experience in Python, Scala, or R * At least 2 years’ experience with machine learning * At least 2 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science New York, NY: $148,000 - $168,900 for Sr Assoc, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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View Associate Data Scientist
A

Associate Data Scientist

AlgaeCalVancouver

From $54/yr

Description Machine Learning Maestro: You don’t just work with data - you decode it, predict the future with it, and turn it into action. Your models don’t just sit on a shelf - they shape strategy, optimize efficiency, and fuel company growth. You thrive on uncovering hidden patterns, validating hypotheses, and embedding machine learning models into real-world AI applications. If that sounds like you - read on. AlgaeCal is looking for a top-tier Associate Data Scientist who can turn raw information into strategies that drive measurable results. This job will give you ALL the feels: At AlgaeCal, we’re driven by a single idea. To end the fear of bone loss. In the United States, an estimated 54 million people have low bone density. The good news? AlgaeCal has the world’s only clinically-backed natural solution to this problem. We give hope to everyone worried about bone loss. If that excites you, you’ll find no better place to continue your career than at AlgaeCal. This job might be for you if you’ve got… Experience as a Data Scientist (or a similar role) and can back it up with a resume that shows real results. You’ve built predictive models, optimized AI applications, and refined data architectures that have had a measurable impact. You don’t just analyze numbers—you translate data into actionable insights that drive business decisions. Serious coding skills in Python or R. You know how to build and refine machine learning models that actually work. You’ve used statistical modeling and data science tools to solve complex problems and unlock growth opportunities. Expertise in SQL and relational databases. Writing efficient queries? Optimizing data structures? Your resume is packed with quantifiable examples that’ll make us drool with desire! You know how to work with large datasets, ensuring data is organized, accessible, and primed for analysis. A deep understanding of machine learning algorithms. Whether it’s regression, clustering, or neural networks, you know how to choose the right approach for the right challenge. You don’t just apply models—you understand how they work under the hood. Hands-on experience with data warehouses. BigQuery or similar? Check. You understand how to design, maintain, and optimize scalable data storage solutions that support robust analytics. A knack for standardizing and improving data models. You’ve worked with data at scale, refining schemas and improving architectures to ensure efficiency, accuracy, and usability across the organization. A laser-sharp eye for detail. You’re the kind of person who spots trends, outliers, and opportunities that others miss. Your ability to catch anomalies helps ensure our models and analytics are always on point. An entrepreneurial approach to data. You don’t just crunch numbers—you think strategically about how data can be leveraged to create business value. You’re proactive in identifying new ways AI and machine learning can drive efficiency, sales, and profitability. Industry know-how that adds value. If you’ve got experience in consumer packaged goods, e-commerce, or the health/supplement industry, that’s a huge plus. You understand how data can shape customer experience, optimize operations, and maximize ROI. Now, time to be honest: is this really you? If you’re nodding your head and feeling that flutter of excitement, then we can’t wait to meet you. Other Qualities You’ll Need At AlgaeCal we’re going to insist that you have these 3 qualities: You’re humble––you put the team and others’ needs ahead of your own You’re hungry to learn more You’re people smart––in the sense that you’re a great teammate The truth is, if you don’t have these qualities you won’t last long at AlgaeCal. So if you’re missing one of them, be honest. Save yourself a lot of headaches and skip to a job posting that is a better fit for you. What Will You Earn? We believe in rewarding top talent. Let’s talk about salary once we’ve had the chance to get to know you better. Rest assured, we’re generous and offer above-market pay for the right person. If you bring the skills and experience, we’ll make sure the compensation reflects that. You’ll also enjoy the following benefits: Monthly team events and activities Weekly team lunches Casual dress code Incredible dog friendly, Yaletown office one block from SkyTrain Remote working is okay with us too. And above all, you’ll join a team that you’ll never want to leave. Culture is everything to us. Yes, we work extremely hard to change as many people’s lives as possible. But we know how to have fun and reward ourselves too. How To Apply So, do you have what it takes to become the next member of team AlgaeCal? Job opportunities like this don’t come along often, and we’ve got a lot to offer our successful applicant. So, to make sure our future Associate Data Scientist is the real-deal, will be a great fit, and will thrive at AlgaeCal, we ask a little more than your run-of-the-mill job application: If this sounds like a position for you, please respond to this advertisement with your resume and cover letter. Please, read carefully: 1. Write a cover letter addressing: Why are you the best Associate Data Scientist for this role? Give quantifiable examples of related achievements. Describe why you fit perfectly with our values. Read them here: https://drive.google.com/file/d/1deCCJZ6tiDiOSlrW0UdCuMV_ahzPBs/view What's the toughest challenge you’ve ever overcome in your life? How did you overcome it? What are the last three books you’ve read? What do you do for fun? 2. Explain what you’re doing now for a job: If you don’t have one, explain why. If you have one, explain why you’re looking elsewhere. 3. Upload your cover letter and resume Ensure that your cover letter and resume are saved and sent as one file. Yes, our hiring process is challenging, but it’s our way of selecting the best--and your way of ensuring your AlgaeCal teammates are tops. Click the “Apply Now” button on this page and upload your cover letter and resume. Note: Please include your cover letter WITH your resume in one document. Applications without a cover letter will not be read! We are looking to hire as soon as we find the right person, so act quickly and you can also expect a prompt response. Please mention the word EARNESTNESS and tag RMTUyLjcwLjIxLjEwNQ== when applying to show you read the job post completely (#RMTUyLjcwLjIxLjEwNQ==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

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View Principal Associate, Data Scientist - Alternative Data Strategy
C

Principal Associate, Data Scientist - Alternative Data Strategy

Capital OneMcLean, VA

From $161,800/yr

Principal Associate, Data Scientist - Alternative Data Strategy Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Alternative Data Strategy team drives credit decisioning forward by integrating non-traditional datasets into US Card strategies. As a Data Scientist, you will evaluate emerging vendors and data products, engineer high-impact features, build scalable processing and monitoring systems, and serve as the dedicated data domain expert guiding all users on dataset applications. In this role, you will also navigate risk governance for vendor models and build challenger models using new data to enhance existing ones. The scope involves rich cross-functional collaboration and continuous learning opportunities. Role Description In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Flex your interpersonal skills to translate the complexity of your work into tangible business goals * This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. The Ideal Candidate is: * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. * Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. * A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: * Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * At least 1 year of experience working with AWS * At least 3 years’ experience in Python, Scala, or R * At least 3 years’ experience with machine learning * At least 3 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science New York, NY: $176,500 - $201,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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View Principal Associate, Data Scientist - Alternative Data Strategy
C

Principal Associate, Data Scientist - Alternative Data Strategy

Capital OneNew York, NY

From $161,800/yr

Principal Associate, Data Scientist - Alternative Data Strategy Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Alternative Data Strategy team drives credit decisioning forward by integrating non-traditional datasets into US Card strategies. As a Data Scientist, you will evaluate emerging vendors and data products, engineer high-impact features, build scalable processing and monitoring systems, and serve as the dedicated data domain expert guiding all users on dataset applications. In this role, you will also navigate risk governance for vendor models and build challenger models using new data to enhance existing ones. The scope involves rich cross-functional collaboration and continuous learning opportunities. Role Description In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Flex your interpersonal skills to translate the complexity of your work into tangible business goals * This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. The Ideal Candidate is: * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. * Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. * A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: * Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * At least 1 year of experience working with AWS * At least 3 years’ experience in Python, Scala, or R * At least 3 years’ experience with machine learning * At least 3 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science New York, NY: $176,500 - $201,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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View Associate Data Scientist
S

Associate Data Scientist

Schumacher HomesCanton, OH

From $271/yr

Schumacher Homes is an award-winning company which strives to be the best on your lot custom homebuilder providing the ultimate customer experience. Quite simply, no one builds a better home or offers a better place to work. Apply today to join our outstanding team in our Canton, OH office (2715 Wise Ave NW, Canton, OH 44708). The Associate Data Scientist applies data science to marketing, reporting directly to the Head of Data Science. The role covers marketing activity and attribution, the customer journey from first contact to signed contract, and demographic and residential real estate data across the company's markets. The work informs decision-making across the organization, in partnership with marketing, sales, finance and executive leadership. Our Associate Data Scientist will : * Support the Head of Data Science across key initiatives, including marketing analytics and attribution, customer journey mapping, statistical modeling, and demographic data and market analysis. * Analyze data to identify trends, generate insights, and support data-driven business decisions. * Collaborate on developing and improving analytical tools, models, and processes. AI Proficiency * Integrate AI tools into daily workflows to improve efficiency, accelerate analysis, and support development. * Use AI coding assistants to write, test, and refactor Python, SQL, and R. * Leverage AI to quickly understand unfamiliar datasets, codebases, and technical documentation. * Build lightweight, end-to-end solutions using AI, including applications, data pipelines, and API integrations. * Validate AI-generated queries, data joins, calculations, and statistical results against source data to ensure accuracy before sharing findings. Benefits : * Medical, dental, vision, life, critical illness and accident insurance * 401K Plan + employer match * Paid Time Off and Paid Holidays * Homebuilding discount WORK HARD, HAVE FUN, PRODUCE RESULTS Requirements * Bachelor’s degree in Statistics, Data Science, Mathematics, Economics, Computer Science, Geography/GIS, or a related quantitative field. * 2+ years of hands-on data science experience, including graduate research, assistantships, or internships. Recent graduates are encouraged to apply. * Strong foundation in statistical methods, including regression, classification, clustering, experimental design, and causal reasoning. * Proficiency in Python and SQL; experience with R is a plus. * Experience working with large, complex, and unstructured datasets. * Demonstrated proficiency in using AI tools to support coding, data analysis, and solution development. * Strong written and verbal communication skills, with the ability to explain technical findings to non-technical audiences. Preferred Requirements: * Master’s or other graduate degree in a quantitative field; PhD is a plus. * Experience analyzing census data, public land records, or property data to inform business decisions. * Familiarity with marketing analytics, including attribution, funnel analysis, cohort analysis, and propensity modeling. * Experience working with CRM platforms such as Salesforce or HubSpot and cloud data tools such as Snowflake and dbt. * Experience building data applications using Python frameworks such as Streamlit. You'll be at home with Schumacher Homes, the premier on-your-lot builder! Apply today.

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Companies hiring for Associate Data Scientist

Capital One (3)AlgaeCal (1)Schumacher Homes (1)

Associate Data Scientist Salary Data

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