Data scientist work from home jobs

Remote - Work From Home The Data Scientist role at Acceleration Partners (AP) is a remote, work-from-home position, as are all positions at AP (a structure central to our culture and vision to change the work/life paradigm). Some travel may be required for internal meetings, conferences, and other events. The Role Acceleration Partners is seeking a Data Scientist to join our growing team. This role will be instrumental in designing, building and scaling our proprietary enterprise platform, APVision, will power the future of affiliate and influencer marketing. You will design, implement, and operationalize advanced statistical models, predictive algorithms, and experimentation frameworks that enable AP to deliver actionable intelligence to clients and internal teams. The ideal candidate combines strong technical acumen with a passion for solving complex business problems in marketing analytics. Top 5 Responsibilities Advanced Modeling & Prediction Collaborating with the development teams and analytics teams, you'll be building, validating, and deploying machine learning and statistical models (e.g., time-series forecasting, causal inference, marketing mix models) to predict partner and channel performance within APVision. Leverage Bayesian and other modern frameworks to solve ambiguous marketing challenges. Data Engineering & Transformation Partner with data engineering to structure, clean, and transform large-scale affiliate, influencer, and retail media datasets for analytics and modeling. Contribute to the improvement of pipelines and processes that support scalable experimentation and model deployment. Experimentation & Measurement Design and analyze A/B tests, geo-experiments, and incrementality studies that measure the true impact of affiliate and influencer marketing campaigns. Develop new metrics and evaluation frameworks to track success and uncover anomalies. Strategic Insights & Recommendations Translate model outputs into clear, actionable insights for clients and AP account teams. Partner cross-functionally with delivery, product, and strategy leaders to drive adoption of data-driven recommendations. Innovation & Thought Leadership Research emerging methods and bring forward new approaches to attribution, forecasting, and ROI measurement across affiliate, influencer, and retail media. Contribute to building AP's reputation as a leader in data-driven marketing strategy. What Success Looks Like By 6 Months You will have developed baseline predictive models for affiliate and influencer performance. You will be working cross-functionally to support campaign measurement and experimentation initiatives. Your insights will be directly influencing client strategies and internal product development. By 1 Year You will own and continuously improve a suite of predictive models and measurement frameworks that are core to AP's analytics platform. You will serve as a trusted advisor to leadership, bringing data-driven clarity to client strategy, product direction, and market opportunities. AP's teams will be using your outputs regularly to guide client recommendations and strategic planning. Qualities of the Ideal Candidate Strong sense of curiosity and intellectual rigor Ability to translate complex data into simple insights Confident and comfortable working in ambiguity Collaborative, adaptable, and outcome-oriented A builder's mindset - willing to prototype, test, and iterate Minimum Qualifications & Skills Master's degree in Statistics, Economics, Data Science, Engineering, or related quantitative discipline, or equivalent practical experience. 3+ years of experience applying advanced analytics to solve business problems. Proficiency in Python or R, SQL, and experience working with large-scale datasets. Direct experience with affiliate, influencer, and marketing data - including transformations, attribution challenges, and performance measurement. Familiarity with cloud-based data and analytics ecosystems, specifically AWS (Redshift, S3, Glue), SQL-based data warehouses, and BI/reporting platforms such as Power BI. Strong ability to translate model results into business insights for both technical and non-technical audiences. Preferred Qualifications Experience delivering marketing mix modeling, incrementality measurement, or geo-experiments end-to-end. Knowledge of Bayesian modeling frameworks and causal inference techniques. Proven ability to design analytics solutions that influence business decisions. Familiarity with affiliate, influencer, or retail media ecosystems is a strong plus. WHY ACCELERATION PARTNERS? Acceleration Partners is the world's largest and first-to-market Partnership Marketing Agency creating and nurturing partnerships that drive exceptional measurable outcomes for their clients. Managing clients in 40+ countries, AP's global team of 300+ focuses on data-driven strategies that connect brands to the right consumers through affiliate and influencer All of our work is supported by APVision, our proprietary technology suite which leverages the largest dataset of any agency in the Partnership Marketing agency ecosystem. Serving over 200 brands-including household names like Amazon, Apple, Target, Google, Marriott, Coinbase, and Burberry-AP's diversified team is creating what's next in the industry by building high-performing partnership marketing programs. As the only truly integrated global partnerships agency, AP prides itself on being at the cutting edge of industry developments and leveraging proven expertise to deliver unique solutions for brands seeking sustainable growth. AP PERKS & BENEFITS - WHAT WE OFFER 100% remote work for everyone Group medical, dental, and vision coverage insurance (with opt-out benefits) 401K with matching Open Paid Time Off Summer & Holiday wellness breaks in July and December Volunteer and Birthday Time Off Focus Fridays Paid Parental Leave Benefits Wellness, Technology & Education Allowances Paid sabbatical leaves, donation matching, and more!! Target Salary Range: $120,000 - $140,000 depending on location and experience. Benefits may vary based on employment status or country location. #LI-REMOTE

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you'll harness cutting-edge technologies-from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI-to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. A DAY IN THE LIFE In this role, you will… Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. Lead projects end-to-end-from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI. WHO YOU ARE You possess … A visionary leader with an advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science. A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. Proficient in Python-and comfortable with other modern programming environments-armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution. Responsibilities Strategize with leadership and stakeholders to align AI innovations with business objectives-identifying risks, seizing opportunities, and driving measurable outcomes. Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs. Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments. Act as both a thought leader and an active contributor-publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP. Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics Mentor and empower your peers, fostering a culture of innovation, resilience, and learning. All other duties as assigned. Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience. Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions-including deep learning, LLMs, and Agentic AI-in production environments. Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices. Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations. Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans. A collaborative mindset with a history of mentoring teams and building high-impact technology solutions. We can recommend jobs specifically for you! Click here to get started.

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Lead Data Scientist May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking talented data scientists and machine learning engineers to develop automated methods for tagging data collected by our autonomous vehicles. This will enable us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and make a crucial impact on our development and business decisions! Responsibilities Work independently with cross functional teams to develop software and system requirements. Design, implement, and deploy state-of-the-art machine learning models. Monitor the performance of the auto-tagging system and drive continuous improvement. Lead team code quality activities including design and code reviews. Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations. Provide technical guidance to team members. Skills Expertise in deep learning, with hands-on experience in the design, training, and evaluation of a wide range of algorithms. Ability to build and productionize machine learning models and large-scale systems. Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May. Excellent problem-solving skills with a meticulous approach to model architecture and optimization. Ability to provide individual and team mentorship, including technical leadership for complex projects. Strong understanding of data labeling best practices, label consistency, and performance metrics specifically relevant to large-scale auto-tagging accuracy and dataset curation. Qualifications and Experience Required B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field. 10+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithmic design and deep learning. Expert-level programming skills in Python with extensive use of modern deep learning frameworks like TensorFlow or PyTorch. Demonstrated experience in building and deploying production-level machine learning systems from conception to delivery. Experience working with multimodal data like visual data (images/video), structured perception and behavior outputs (e.g., agent tracks, vehicle state estimation, motion planner outputs). Demonstrated expertise in databases for data extraction, transformation, and analysis. Prior experience in mentoring and supporting junior engineers. Desirable Background in robotics or autonomous systems. Experience with multi-modal deep learning models, transformers, visual learning models (vLMs) etc. Experience with classifying driving maneuvers and traffic interactions using machine learning methods. Solid understanding of ML deployment lifecycle, MLOps practices, and cloud computing platforms (e.g., AWS, GCP). Expertise in PySpark/Apache Spark for handling large-scale data processing. Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Lift up to 50 pounds Remote role based out of Ann Arbor, MI. Remote employees work primarily from home or an alternative work space. Travel requirements - 0% The salary range provided is based on a position located in the state of Michigan. Our salary ranges can vary across different locations in the United States. Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave as well as a phased return to work. Flexible vacation policy in addition to paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range$167,000-$190,000 USD

Role Description We're looking for a Staff Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the Core Experience and Artificial Intelligence (AI) areas. This area focuses on improving key part of the core product through re-envisioning the home experience, cross platform experience, user onboarding, and building new functionality and launching high impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behavior analysis, and customer segmentation. We're looking for someone who can bring opinions and strong narrative framing to proactively influence the business. Responsibilities Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data. Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 8+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Strong leadership and influence skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$197,400-$267,000 USDUS Zone 3$175,400-$237,400 USD

Join the Tilt team At Tilt (formerly Empower), we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond outdated credit scores, using over 250 real-time financial signals to recognize real potential. Named among the next billion-dollar startups, we're not just changing how people access financial products - we're creating a new credit system that backs the working, whatever they're working toward. The Opportunity: Staff Data Scientist Our data scientists are responsible for the entire machine learning model development process from conception with stakeholders, creation of model pipelines, technical development, deployment, and partnership with the credit, product, and finance teams to make business decisions. The ideal candidate is passionate about using data and models to drive business growth and help customers improve their financial situations. For this role, we're looking for a seasoned data scientist to work within our talented DS team for Tilt Cash Advance and Thrive Line of Credit products. This individual will own creating and improving credit risk models, building ML based paycheck detection algorithms to help the business decrease loss rates and increase approval rates. The right person for this role is someone who shines while solving complex problems and is comfortable with a wide variety of technical tools. Tilt is a remote-first company. We drive connectivity through regular company offsites. Travel for company offsites is expected at a minimum 2 times a year. How You'll Make an Impact Grow user base and increase retention through machine learning and analytics Build machine learning models with large scale data sets to address business priorities Design and influence strategies on underwriting, marketing, fraud and customer experience Work closely with our engineering team as you implement models in production Collaborate effectively with operations and product to ensure the work fits into the broader strategy and business context Develop data standards and analytics pipelines to facilitate current and future analysis Why You're a Great Fit BS degree in engineering, computer science, finance or mathematics 6+ years industry experience in data mining, machine learning, statistical analysis, and/or predictive modeling Deep understanding of statistics and machine learning techniques, including regression, classification, clustering and optimization Experience building predictive models from scratch Strong programming skills in Python with intermediate to advanced knowledge of SQL Demonstrable experience with ML packages: scikit-learn, LightGBM, XGBoost, SparkML, etc. Knowledge in deep learning and experience with DL toolkits (Tensorflow, Keras, PyTorch) is preferred though not required Comfort working with a variety of cross functional partners in tech, product, credit, and business Exceptionally strong problem solving and communication with the ability to both get in the weeds and communicate to an executive audience Don't meet every qualification? We care about potential over your past. If you're bringing ambition and drive to what we're building, we want to hear from you. What you'll get at Tilt Virtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. You'll get started with a WFH office reimbursement. Competitive pay: We're big on potential, and it's reflected in our competitive compensation packages and generous equity. Complete support: Find flexible health plans at every premium level, and substantial subsidies that stand up to global standards. Visibility is yours: You can count on direct exposure to our leadership team - we're a team where good ideas travel quickly. Paid global onsites: Magic happens IRL: we gather twice yearly to reconnect over shared meals or kayaking adventures. (We've visited Vail, San Diego, and Mexico City, to name a few.) Impact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines. The Tilt Way We're looking for people who chase excellence and impact. Those who stand behind their work, celebrating the wins and learning from the missteps equally. We foster an environment where every voice is valued and mutual respect is non-negotiable - brilliant jerks need not apply. We're in this together, working to expand access to fair credit and prove that people are incredible. When you join us, it's not just another day at the [virtual] office, you're helping millions of hardworking people reach better financial futures. You're pushing ahead in your career? We can get behind that. Join us in building the credit system that people deserve.

Our client is a Fortune 200 leading retail energy company focused on bringing the power of energy to people and organizations. Putting customers at the center of everything they do, they provide energy solutions to millions of people through their diverse portfolio of retail brands across North America. Take your career to the next level by working on a dynamic and innovative team that moves our world towards a sustainable energy future. Essential Duties/Responsibilities: Adhere to our culture of humility, curiosity, and impact Process data using Python, PySpark, and Databricks Develop purchase propensity models and product recommendation models Learn the job while performing hands-on analytics and modeling Help business partners make more profitable decisions based on customer and prospect insights Working Conditions: Fully remote Minimum Requirements: 0-3 years of experience in data analysis or related field Master's degree in a quantitative discipline or equivalent practical experience Experience with statistical software and database languages Preferred Qualifications: Experience using data science to improve customer experience and business profitability Ph.D. in a quantitative discipline Proficiency in Python packages such as PySpark, NumPy, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines Theoretical and practical knowledge of methods such as frequentist statistics, Bayesian statistics, forecasting, optimization, causal inference, machine learning, and natural language processing Proficiency with version control Experience with reading and writing data in S3 Ability to collaborate effectively with teammates across functions with strong skills in persuasive and informative speaking

Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh, you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM) solutions that power next-generation compliance and surveillance systems. You'll work on highly specialized problems at the intersection of natural language processing, communications intelligence, financial supervision, and regulatory compliance, where unstructured data from emails, chats, voice transcripts, and trade communications hold the keys to uncovering misconduct and risk. The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. This role demands both technical excellence in NLP modeling and a deep understanding of financial domain behavior-including insider trading, market manipulation, off-channel communications, MNPI, bribery, and other supervisory risk areas. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis. This role also offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency.How will you contribute? Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms. Lead the design, training, and deployment of NLP and transformer-based models for financial surveillance and supervisory use cases (e.g., misconduct detection, market abuse, trade manipulation, insider communication). Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities Data annotation and quality review Exploratory data analysis and model fail state analysis Contribute to model governance, documentation, and explainability frameworks aligned with internal and regulatory AI standards. Client/prospect guidance in machine learning model and analytic fine-tuning/development processes Provide guidance to junior team members on model development and EDA Work with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team's tooling, technique and procedures Continued self-led personal development What will you bring? Strong understanding of financial markets, compliance, surveillance, supervision, or regulatory technology Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…) Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming) Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…) Knowledge of NLP transfer learning, including word embedding models (glo Ve, fast Text, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.) Experience with natural language processing toolkits like NLTK, spa Cy, Nvidia NeMo Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes Familiarity with Deep Learning techniques for NLP. Familiarity with LLMs - using ollama & Langchain Excellent verbal and written skills Proven collaborator, thriving on teamwork Preferred Qualifications Master's or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field Familiarity with cloud computing platforms (AWS, GCS, Azure) Experience with automated supervision/surveillance/compliance tools About our culture Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.

**Dean of Research, Stanford, California, United States** Research Post Date Dec 13, 2024 Requisition # 105424 This is a 3-year fixed term appointment. **Stanford Data Science** This position is part of a new initiative incubated within Stanford Data Science, part of the Vice Provost for Research / Dean of Research. Stanford Data Science (SDS) is a dynamic and rapidly growing unit within the VP/Dean of Research. For more than five years, SDS has sought to advance data science and its application to all fields of study. Our community ranges broadly across all seven schools on campus, consisting of esteemed alumni, world class faculty, post-doctoral fellows and PhD students, dynamic staff and administrators. In realizing our mission, our staff are critical to supporting our organization's goals and enabling Stanford faculty and students to accomplish their mission conducting cutting-edge research and innovation around how we learn from data, the tools we use, and the new methods needed to tackle the data-intensive future. **POSITION SUMMARY** Stanford University has made a strategic investment in Marlowe, a GPU-centric high-performance computing instrument designed to enable large-scale, data-intensive research. Supporting a wide range of disciplines, Marlowe facilitates sophisticated machine learning applications, including large-language models. The Research Data Scientist will play a critical role in this initiative, leveraging their expertise in computational research to develop and optimize workflows and applications that unlock Marlowe's capabilities. This role requires a deep understanding of computational and data science, machine learning, and the scientific process. It also demands the ability to leverage high-performance GPU computing to efficiently process and analyze large datasets. The successful candidate will collaborate closely with Stanford faculty and research groups to design, implement, and refine GPU-accelerated data processing pipelines. They will also contribute to scientific codes using machine learning, statistical analysis, and computation to address complex research challenges. Additionally, the data scientist will contribute to the development of novel computational methods ranging from biological data analysis to simulation of physical systems via digital twins. Beyond technical expertise, the Research Data Scientist will act as a bridge between Marlowe and the broader research community. They will guide researchers in adapting their applications to Marlowe's GPU-powered infrastructure by providing technical consultation, creating training materials, and leading workshops. The ideal candidate will have a strong background in both data science and GPU-centric computational techniques, combined with a passion for fostering collaboration and pushing the boundaries of interdisciplinary research. This position offers an exceptional opportunity to drive transformational research and establish Marlowe as a cornerstone of Stanford's efforts in pioneering discovery. Remote work for the Research Data Scientist position will be considered. The Research Data Scientist may be asked to attend certain in-person work events during the year regardless of remote status. **CORE DUTIES** **:** **Code Architecture for GPU Computation** + Collaborate with Principal Investigators (PIs) and research groups to architect and optimize GPU-accelerated pipelines. + Develop innovative computational methodologies + Co-author resulting research publications. **Algorithm Development and Data Management** + Design advanced data movement strategies to minimize memory bottlenecks between CPU and GPU, including real-time data streaming methods for scientific applications. + Partner with research teams to design novel algorithms and develop high-quality, reusable software to accelerate complex research projects. **Research Support and Software Infrastructure** + Assist PIs in applying for supercomputing resources at national centers once projects are scaled and workloads are appropriate. Offer guidance on maximizing efficiency of large-scale computational experiments. + Install, configure, and maintain software stacks for core research functions. **Training and Mentorship** + Design and lead hands-on workshops, and interdisciplinary courses focused on GPU-centric research in fields such as computational biology, NLP and image analysis. + Mentor graduate students, postdocs and early-career researchers in computational techniques and research methodologies. **Open Science and Research Continuity** + Integrate open science principles into research workflows, including software for data and computational provenance. + Design systems to manage inputs, outputs, and provenance to meet NIH, NSF, and OSTP mandates. + Develop tools and workflows to ensure the long-term viability of code and tools used by students and postdocs for future research development. *Other duties as assigned. **DESIRED QUALIFICATIONS** **:** + Experience supervising technical staff including training, mentoring and coaching. + Experience developing and writing grant proposals. + A minimum of five years at an Academic Staff - Researcher rank or have equivalent experience + Extensive publication list including first author publications. **Education & Experience (Required)** : + Ph.D. in a computational or data-intensive related field or equivalent + Comfortable running and troubleshooting jobs in a batch scheduled environment + Considerable experience with Linux **Pay Range** **:** This role is open to candidates anywhere in the United States. Stanford University hasfive Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $142,000 to $200,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. _The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._ _Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form._ _Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law._ Additional Information + **Schedule: Full-time** + **Job Code: 6446** + **Employee Status: Fixed-Term** + **Grade: R99** + **Requisition ID: 105424** + **Work Arrangement : Hybrid Eligible, Remote Eligible, On Site**

Job DescriptionDescription: Paylocity is an award-winning provider of cloud-based HR and payroll software solutions, offering the most complete platform for the modern workforce. The company has become one of the fastest-growing HCM software providers worldwide by offering an intuitive, easy-to-use product suite that helps businesses automate and streamline HR and payroll processes, attract and retain talent, and build a strong workplace culture. While traditional HR and payroll providers automate basic HR processes such as payroll and benefits administration, Paylocity goes further by developing tools that HR and businesses need to compete for talent and deliver against the expectations of the modern workforce. We give our employees what they need to succeed, including great benefits and perks! We offer medical, dental, vision, life, disability, and a 401(k) match, as well as perks that support you, your family, and your finances. And if it's career development you desire, we provide that, too! At Paylocity, people matter most and have always been at the heart of our business. Help Paylocity enhance communication and enable employees to connect, collaborate, and create from anywhere with a position in Product & Technology! Want to develop the strategies and principles needed to deliver compelling software? Join our team and help us enhance our all-in-one software platform, elevate our one-of-a-kind technology, and improve the employee experience. Take your career to the next level at one of G2's Top 100 Software Companies. Explore our Product & Technology positions to see where you fit! This is a fully remote position, allowing you to work from home or location of record within the U.S. with no in-office requirements.? You must be available five days per week during designated work hours.? The work arrangement for this role is subject to change based on business needs and individual performance. This may include adjustments to on-site requirements Staff Data Scientist Position Overview Our data science team is responsible for developing AI and machine learning solutions to meet client needs in domains ranging from NLP and supervised learning to time series forecasting and anomaly detection. The team is focused on building high impact software solutions that deliver automation, insights, and assistance to millions of users every day. You can learn more about the type of work we do on our Paylocity AI page(****************************************** ). As a Staff Data Scientist, you will help Paylocity discover the information hidden in vast amounts of data, to help our customers make smarter human capital decisions that drive organizational success. Your primary focus will be to apply knowledge of statistics, machine learning, programming, data modeling, to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement Primary Responsibilities The below represents the primary duties of the position, others may be assigned as needed. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Select features, build, and optimize models using machine learning techniques such as time series methods, regression, random forests, gradient boosting, and neural networks • Leverage cutting edge big data technologies on AWS and Microsoft Azure utilizing Databricks and Spark • Collaborate with Product Managers, Enterprise Architects, Software Development Managers, and other leaders to translate complex human capital management challenges into data science projects • Create automated data and modeling pipelines and develop custom performance tracking • Independently build proof-of-concepts and take those concepts from ideation to productization • Work closely with full stack software engineers in an agile product development environment to deliver machine learning software features • Conduct ad-hoc analyses and present results in a clear manner Education and Experience • Advanced degree (Master's or Phd) preferred in computer science, industrial engineering, statistics, industrial organizational psychology, neurology, public policy, linguistics or another quantitative field. Bachelor's degree required. • 6+ years of data science success at software companies • Experience in writing production grade machine learning models in Python • Experience with cloud infrastructure on AWS or Azure • Demonstrated ability to leverage data science to drive business results • Skilled at translating business problems into data science problems and communicating the results to non-technical audiences • Able to work in a collaborative environment with a desire to share your ideas • Able to work independently and complete tasks with high quality, but unafraid to seek out suggestions from other team members • Self-motivated, adaptable, and highly detail oriented Preferred Skills: • Professional or academic experience in HR, social science or psychology • Significant experience with cloud development and infrastructure-as-code tools • Be invested in staying current in data science by applying new technologies and practices Physical requirements • Ability to sit for extended periods: The role requires sitting at a desk or workstation for long periods, typically 7-8 hours a day. • Use of computer and phone systems: The employee must be able to operate a computer, use phone systems, and type. This includes using multiple software programs and inquiries simultaneously. Paylocity is an equal-opportunity employer. Paylocity is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. At Paylocity, we believe diversity makes us better. We embrace and encourage our employees' differences in age, culture, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion or spiritual belief, sexual orientation, socio-economic status, veteran status, and other characteristics that make our employees unique. We actively cultivate these differences through our employee resource groups (ERGs), employee experiences, perspectives, talents, and approaches to drive innovation in the software and services we provide our customers. We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. To request reasonable accommodation in the job application or interview process, please contact accessibility@paylocity.com. This email address is exclusively designated for such requests, aligning with federal and state disability laws. Please do not send resumes to this email address, as they will be removed. The base pay range for this position is $140,700 - $261,300 /yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. This position is eligible for an annual bonus and restricted stock unit grant based on individual performance in addition to a full range of benefits outlined here. This information is provided per the relevant state and local pay transparency laws for the location in which this position will be performed. Base pay information is based on market location. Applicants should apply via ************************** #LI-Tech #LI-Remote Requirements:

Description AmeriSave Mortgage Corporation is a leading fintech mortgage lender committed to transforming the home financing experience through data-driven innovation. We are building a world-class analytics organization to power smarter decisions across marketing, operations, and pricing. Role OverviewWe are seeking a highly skilled and strategic Principal Data Scientist to lead high-impact, hands-on initiatives across marketing analytics, workforce planning, lead routing, and pricing sensitivity. This is an individual contributor role ideal for someone who thrives on solving complex problems and delivering measurable business outcomes through advanced analytics, optimization, and modeling.Responsibilities:Marketing Analytics Build and deploy predictive models for lead conversion, customer lifetime value, and marketing ROI. Design and analyze experiments to evaluate campaign performance and optimize spend. Develop attribution frameworks and incrementality testing to guide marketing strategy. Workforce Planning & Optimization Design intelligent scheduling systems that align staffing with demand across mortgage and call center operations. Apply constraint-based optimization, linear/mixed-integer programming, and fatigue modeling to maximize productivity and SLA adherence. Integrate with workforce management systems to automate and enhance planning processes. Lead Routing & Pricing Sensitivity Develop machine learning models to optimize lead routing based on agent performance, availability, and customer profiles. Analyze pricing elasticity and customer sensitivity to rate changes across segments and channels. - Simulate pricing scenarios and recommend adjustments in collaboration with pricing and finance teams. Cross-Functional Collaboration Partner with stakeholders across Marketing, Sales, Operations, and Finance to translate business needs into analytical solutions. Present findings and recommendations to senior leadership in a clear, actionable manner. Qualifications: Master's or PhD in Data Science, Statistics, Operations Research, Computer Science, or a related field. 6+ years of experience in applied data science roles, preferably in high-volume, customer-facing environments. Strong proficiency in R, Python, SQL, and Power-BI Experience working with workforce management systems and call center focused organizations Demonstrated success in marketing analytics, workforce optimization, and pricing strategy. Experience working with credit bureau data **Please note that the compensation information that follows is a good faith estimate for this position only and is provided pursuant to the Colorado Equal Pay for Equal Work Act and Equal Pay Transparency Rules. It is estimated based on what a successful Colorado applicant might be paid. It assumes that the successful candidate will be in Colorado or perform the position from Colorado. Similar positions located outside of Colorado will not necessarily receive the same compensation. ** Compensation The annual compensation for this position generally ranges between $130,000 - $200,000. Benefits · 401(k) · Dental insurance · Disability insurance · Employee discounts · Health insurance · Life insurance · Paid time off · 12 paid holidays per year · Paid training · Referral program · Vision insurance Supplemental pay types: · Referral bonuses AmeriSave is 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. California Consumer Privacy Act Disclosure Acknowledgment Employment Applicants, New Hires, and Employees Residing in California AmeriSave Mortgage Corporation's Privacy Policy Statement (“Policy”) can be reviewed here: ******************************** AmeriSave Mortgage Corporation's California Consumer Privacy Act (“CCPA”) Recruitment Disclosure can be reviewed here: ****************************************************** When AmeriSave's Human Resources Department makes future requests for personal information, the same Policy is applicable. By applying, you understand this acknowledgment covers current and future personal information requests. You also acknowledge the business purpose of the personal information collected and that future requests may occur while applying for a position at AmeriSave and/or during employment, if applicable.

Welcome to Perennial. Perennial is building the world's leading verification platform for soil-based carbon removal. Our vision is to unlock soil as one of the world's largest carbon sinks. To do that, we are building trusted standards, tools, and technologies to help verify climate-smart agriculture. Perennial uses advanced remote measurement technology for soil carbon sequestration and emissions. We fuse machine learning, ground observations, and satellite data to map soil carbon and land-based GHG emissions at continent-level scales. This technology is powering the future of climate-smart agriculture and helping the food supply chain decarbonize. At Perennial, you will work in a mission-driven and collaborative environment alongside a diverse team with backgrounds spanning science, technology, carbon markets, and agriculture. Our headquarters is located in Boulder, CO USA. We are a fully-flexible company for remote and hybrid work. We're venture-backed by mission-aligned investors including Temasek, Bloomberg, Microsoft Climate Innovation Fund, SineWave Ventures, Alumni Ventures Group, and Collaborative Fund.Position Overview As a Senior Data Scientist, you will be responsible for applying our algorithms and methodologies using machine learning and remote sensing data to quantify the benefits of regenerative agriculture at scale for our customers. The Perennial team is advancing the field of digital soil mapping (DSM) through impactful applied research, peer-reviewed science, and methodology development to bring DSM into the voluntary carbon markets (see our work with Verra). You will help us work directly with our customers to quantify changes in soil organic carbon stocks in agricultural soils, deliver reliable results, and partner with our applied scientists and engineers to continually improve our models and processes that support a variety of carbon offset and Scope 3 projects. What You'll Own Train, improve, and deploy machine learning models for predicting soil carbon stock with remotely-sensed covariate data and limited training data End-to-end deliveries for our customers: train models, run predictions, and ensure quality results are delivered in customer reports Interface directly with customers to learn about their needs and pain points, and partner with our business development team to identify solutions Work with other data scientists, engineers, and policy experts to ensure that our data and methods comply with various standards and methodology requirements specific to a given project Characterize the accuracy and uncertainty of model predictions and demonstrate the dependence of performance metrics on the surrounding context and parameters of carbon projects Execute efficiently throughout full development cycle, from performing exploratory data analysis and initial R&D to rapid prototyping and hardening models for production Communicate your research internally and externally through detailed documentation, conference presentations, and peer-reviewed publications What You'll Bring Master's degree or Ph.D. in statistics, math, computer science, remote sensing, AI/ML, ecosystem science, soil science, geography, or a related STEM field 5-8 years of industry or research experience in data science, applied ML, geospatial analysis, or related fields Strong proficiency in Python for data science (e.g. pandas, scikit-learn, xarray, numpy) Experience working directly with customers Experience building machine learning, statistical, or time series models informed by remotely-sensed data or large spatial datasets Good communication and collaboration skills with functional and cross-functional teams Ability to independently manage a project and deliver results What Will Make You Stand Out Experience working in the soil carbon MRV space and familiarity with relevant methodologies and tools (e.g. VM0042, VM0032, VMD0053) Expertise in the open source geospatial python stack. Basic raster and vector operations, e.g. resampling, tiling, clipping, extracting, spatial statistics, harmonizing data Experience in a solutions engineer or scientist role Experience quantifying uncertainty of spatial maps, or more generally geostatistics or spatial stats, esp. with machine learning Experience working with Google Earth Engine and GCS Startup experience or a strong entrepreneurial mindset (generally private company experience) Why You'll Love Working Here We live by our Core Values. Speak your truths, welcome new voices. Celebrate your successes, own your mistakes. Solve important problems. Invest in each other. Build for the future .Get your hands dirty! We challenge the status quo. We're a group of people who want to create the changes we hope to see in the world. See some of our recent press about the problems we're committed to solving. We invest in your life. We want to provide you with resources to meet your needs both in and outside of work. We offer generous PTO, health, vision, dental, 401k, and HSA benefits and a fully stocked kitchen to keep your mind sharp throughout the day. We want you to grow. We are a team that supports each others' professional and intellectual growth. You'll have access to regular opportunities to learn from teammates and invest in your professional development. We offer competitive compensation packages. Our team is our most valuable asset. We want everyone who works for us to feel fairly compensated for the impact they bring to our mission. The team member in this role can expect a starting salary in the range of USD $150,000-$180,000 (commensurate with experience and location), along with equity in the company. Perennial is an equal opportunity employer. We celebrate and embrace diversity and are committed to building a team that represents a variety of experiences, backgrounds, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, gender identity, gender expression, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or other applicable legally protected characteristics.

National Debt Relief (NDR) is seeking an experienced and versatile Data Scientist IV (Principal level) to join our Data Science team and round out our capabilities. This is a principal-level role for a highly skilled individual contributor with a minimum of 7+ years of proven experience in building and deploying enterprise-grade production machine learning (ML) and artificial intelligence (AI) models. This is a highly collaborative role, and strong teamwork and interpersonal skills are required. As a subject matter expert, you will augment the team's existing strengths in all industry-standard data science models, tools, and model deployment technologies. Deep familiarity with the data science model lifecycle and model deployment tools is essential. This individual will be pivotal in enhancing the team's capacity to conceptualize, develop, and deploy complex models efficiently and on time. Responsibilities Serve as a strategic addition to the data science team, contributing advanced technical expertise to complement existing skills. Conceptualize, develop, and deploy production-grade ML models and AI applications, consistently delivering projects within 8-12 week timeframes. Apply sophisticated data science techniques, including unsupervised learning, clustering, time series analysis, anomaly detection, NLP, topic modeling, and generative AI, to address business Implement and maintain MLOps practices to streamline and manage the full model lifecycle for scalable, production-ready solutions. Develop and deploy models as APIs using frameworks such as FastAPI or Docker for efficient integration into production systems. Collaborate with cross-functional teams to identify business needs and translate them into impactful data science solutions. Use strong SQL (Snowflake preferred) and Python skills for data preparation, analysis, and model Demonstrate high business acumen by understanding the practical implications of data science projects and communicating effectively with stakeholders. Present complex analyses and results to both technical and non-technical audiences, ensuring clarity and actionable insights. Provide technical guidance and share expertise with peers and junior data scientists, contributing to a culture of continuous learning and innovation. Qualifications Education/Experience Bachelor's degree in Data Science, Computer Science, Statistics, or a related field required. A master's or Ph.D. is preferred. 7+ years of professional, full-time data science experience with a proven track record of developing and deploying production-grade ML models. Advanced proficiency in Python and SQL (Snowflake preferred), with significant hands-on experience building highly performant code. Deep expertise in MLOps and experience managing production model workflows. Strong experience developing and deploying ML models as APIs using tools such as FastAPI, Docker, or similar frameworks is highly preferred. Proven application of advanced data science techniques beyond classification and regression, including unsupervised learning, clustering, time series analysis, anomaly detection, NLP, topic modeling, and generative AI. Demonstrated ability to develop and deploy models on time, with examples of successful implementations. Exceptional communication skills for explaining complex data insights to diverse audiences. Ability to foster a culture of collaboration, continuous improvement, and innovation. Required Skills/Abilities Experience in financial services or a related industry. Experience with data warehouse solutions such as Snowflake (preferred), Azure, Redshift, or GCP. Familiarity with data visualization tools for impactful presentations. Exposure to collaborative tools such as JIRA and Miro. National Debt Relief Role Qualifications: Computer competency and ability to work with a computer. Prioritize multiple tasks and projects simultaneously. Exceptional written and verbal communication skills. Punctuality expected, ready to report to work on a consistent basis. Attain and maintain high performance expectations on a monthly basis. Work in a fast-paced, high-volume setting. Use and navigate multiple computer systems with exceptional multi-tasking skills. Remain calm and professional during difficult discussions. Take constructive feedback. Available for full-time position, overtime eligible if classified non-exempt. Compensation Information Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for each position across the US. Within the range, individual pay is determined by work location, job-related skills, experience, and relevant education or training. This good faith pay range is provided in compliance with NYC law and the laws of other jurisdictions that may require a salary range in job postings. The salary for this position is $176,000 - $202,500 annually. About National Debt Relief National Debt Relief was founded in 2009 with the goal of helping an expanding number of consumers deal with overwhelming debt. We are one of the most-trusted and best-rated consumer debt relief providers in the United States. As a leading debt settlement organization, we have helped over 450,000 people settle over $10 billion of debt, while empowering them to lead a healthier financial lifestyle and feel free to live their best life. At National Debt Relief, we treat our clients like real people. Our purpose is to elevate, empower, and transform their lives. Rated A+ by the Better Business Bureau, our goal is to help individuals and families get out of debt with the least possible cost through conducting financial consultations, educating the consumer and recommending the appropriate solution. We become our clients' number one advocate to help them reestablish financial stability as quickly as possible. Benefits National Debt Relief is a team-oriented environment full of rewards and growth opportunities for our employees. We are dedicated to our employee's success and growth within the company, through our employee mentorship and leadership programs. Our extensive benefits package includes: Generous Medical, Dental, and Vision Benefits 401(k) with Company Match Paid Holidays, Volunteer Time Off, Sick Days, and Vacation 12 weeks Paid Parental Leave Pre-tax Transit Benefits No-Cost Life Insurance Benefits Voluntary Benefits Options ASPCA Pet Health Insurance Discount Access to your earned wages at any time before payday National Debt Relief is a certified Great Place to Work ! National Debt Relief is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other status protected by law. For information about our Employee Privacy Policy, please see here For information about our Applicant Terms, please see here #LI-REMOTE

The Data Scientist will contribute to the development of AI and Generative AI (GenAI) models and workflows tailored for the healthcare domain. This role will work on building solutions that address real-world challenges. This role offers an exciting opportunity to apply knowledge of GenAI, machine learning, and healthcare-specific requirements while collaborating with a multidisciplinary team of experts. Develop workflows to enhance the efficiency and accuracy of note-taking in healthcare settings. Collaborate with data engineers, product teams, and clinical experts to ensure solutions align with healthcare workflows and standards. Address healthcare-specific challenges such as HIPAA compliance, medical terminology integration, and adherence to standards like ICD, CPT, and HL7/FHIR. Stay updated with the latest advancements in GenAI, NLP, computer vision, and healthcare AI technologies. Perform other duties that support the overall objective of the position. Education Required: Bachelor's degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field. Or, any combination of education and experience which would provide the required qualifications for the position. Experience Required: Experience working with multiple GenAI models, including open-source. Experience with natural language processing (NLP) and computer vision techniques. Experience in data preprocessing and model deployment. Knowledge, Skills & Abilities: Knowledge of: Strong foundational knowledge of generative AI techniques and frameworks (e.g., Transformers, GPT, diffusion models). Proficiency in machine learning tools and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with healthcare data structures, workflows, and challenges (e.g., EMR/EHR integration, ICD/CPT coding, HL7/FHIR). Knowledge of voice recognition and transcription technologies is a plus. Skill in: Strong programming skills in Python or similar languages. Strong problem-solving skills and a growth mindset. Ability to: Eagerness to learn and adapt in a fast-paced, mission-driven environment. The company has reviewed this to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate. NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

The Data Scientist will provide meaningful insight on how to improve our current business operations. Principle Accountabilities/Responsibilities Work closely with domain experts and SME's to understand the business problem or opportunity and assess the potential of machine learning to enable accelerated performance improvements Design, build, tune, and deploy divisional AI/ML tools that meet the agreed upon functional and non-functional requirements within the framework established by the Enterprise IT and IS departments. Perform large scale experimentation to identify hidden relationships between different data sets and engineer new features Communicate model performance & results & tradeoffs to stake holders Determine requirements that will be used to train and evolve deep learning models and algorithms Visualize information and develop engaging dashboards on the results of data analysis. Build reports and advanced dashboards to tell stories with the data. Lead, develop and deliver divisional strategies to demonstrate the: what, why and how of delivering AI/ML business outcomes Build and deploy divisional AI strategy and roadmaps that enable long-term success for the organization that aligned with the Enterprise AI strategy. Proactively mine data to identify trends and patterns and generate insights for business units and management. Mentor other stakeholders to grow in their expertise, particularly in AI / ML, and taking an active leadership role in divisional executive forums Work collaboratively with the business to maximize the probability of success of AI projects and initiatives. Identify technical areas for improvement and present detailed business cases for improvements or new areas of opportunities. Qualifications/Education/Experience Requirements PhD or master's degree in Statistics, Mathematics, Computer Science or other relevant discipline. 5+ years of experience using large scale data to solve problems and answer questions. Prior experience in the Manufacturing Industry. Skills/Competencies Requirements Experience in building and deploying predictive models and scalable data pipelines Demonstrable experience with common data science toolkits, such as Python, PySpark, R, Weka, NumPy, Pandas, scikit-learn, SpaCy/Gensim/NLTK etc. Knowledge of data warehousing concepts like ETL, dimensional modeling, and sematic/reporting layer design. Knowledge of emerging technologies such as columnar and NoSQL databases, predictive analytics, and unstructured data. Fluency in data science, analytics tools, and a selection of machine learning methods - Clustering, Regression, Decision Trees, Time Series Analysis, Natural Language Processing. Strong problem solving and decision-making skills Ability to explain deep technical information to non-technical parties Demonstrated growth mindset, enthusiastic about learning new technologies quickly and applying the gained knowledge to address business problems. Strong understanding of data governance/management concepts and practices. Strong background in systems development, including an understanding of project management methodologies and the development lifecycle. Proven history managing stakeholder relationships. Business case development. First Quality is committed to protecting information under the care of First Quality Enterprises commensurate with leading industry standards and applicable regulations. As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data. First Quality is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identification, or protected Veteran status.

What We Do Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world. Candidates who have their pick of jobs are drawn to IntelliScript's entrepreneurial and collaborative culture of innovation, excellence, exceptional customer service, balance, and transparency. Every single person has a voice in our company, and we challenge each other to push the outer limits of our full, diverse potential. And, we've shown sustained growth that ensures you'll have room to grow your skillset, responsibilities, and career. Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our LinkedIn page for a closer look at our company, and learn more about our cultural values here. Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our website to learn more about Milliman's commitments to our people, diversity and inclusion, social impact, and sustainability. What this position entails Milliman, Inc. is recognized as a top firm that provides data, products, and professional services to the insurance industry. IntelliScript is a practice within Milliman that provides health and life insurers with real-time data and underwriting decision support tools via software-as-a-service (SaaS). IntelliScript offers an innovative suite of products which interpret and deliver electronic medical data (such as prescription histories, diagnoses, treatment data, etc.) to help our clients make effective underwriting and pricing decisions. Our company offers a unique entrepreneurial culture that also promotes work / life balance. IntelliScript has enjoyed consistent growth and is the leader in the markets we serve, where our scoring products are industry standards. The Lead Data Scientist will be integral as we continue to bring innovative new products to market in response to client needs and opportunities. The Lead Data Scientist will build upon their data science, machine learning, and/or GenAI and Natural Language Processing (NLP) expertise to develop intimate knowledge of our current product capabilities and provide advanced analytical expertise to enhance these products through new solutions. Projects will include construction, validation, documentation and delivery of sophisticated GenAI and machine learning solutions for a variety of healthcare-related problems. What you will be doing The key area of responsibility in the role of Lead Data Scientist is to work in conjunction with our business development and product teams to develop and implement commercially viable model-based solutions to the healthcare, insurance, life sciences and adjacent markets. Research, develop, deploy, and maintain traditional AI/ML models following industry best practices Work extensively with available GenAI models; construct exciting solutions to internal and external use cases across markets and enhance our internal capabilities through centralized internal tooling and thought leadership Coordinate with Product, Business Development, ML Engineering, and IT to bring new and exciting data science products to market, as well as support existing industry leading products Help drive best practices and continuous improvement on the data science team; influencing model design and experimentation strategy through planning, audit, peer review, and other coaching What we need 7+ years of professional experience using AI/ML to create high return on investment commercial data science solutions Expert data scientist with demonstrated expertise in at least one core area of AI/ML and strong working knowledge across others, including supervised and unsupervised learning, model validation, deep learning architectures, and NLP algorithms. Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting (XGBoost, LightGBM, CatBoost), and ensemble methods Unsupervised Learning: K-means clustering, hierarchical clustering, PCA, and anomaly detection algorithms Model Validation: Cross-validation strategies, hyperparameter optimization (Grid Search, Random Search, Bayesian optimization), and A/B testing frameworks Deep Learning Architectures: Neural networks, transformers, and transfer learning methodologies NLP Algorithms: Text preprocessing, TF-IDF, word embeddings (Word2Vec, GloVe), topic modeling (LDA), sentiment analysis, and named entity recognition Expert understanding of NLP and generative AI; able to effectively use, fine-tune, and evaluate commercially available models as well as deploy and integrate local LLMs into the data science process Expert level Python programmer, with some experience in R and/or SQL Expert user of Databricks or similar cloud-based model development ecosystem including mlflow, experimentation organization, data catalogs, and compute cluster configuration Sufficient understanding of software engineering best practices such as Git for version control, unit testing, local development, and environment management Knowledge of ML Engineering and ML Ops related concepts and tools including CICD pipelines, GitHub Actions, Docker, AWS Lambda, and Linux Degree in a relevant field (computer science, data science, statistics, mathematics, applied math, actuarial science, economics, etc.) What you bring to the table Excellent communication skills, in person and through phone / email Proven ability to understand client analytical needs, translate them into an action plan, then execute and deliver Customer-centric approach to finding solutions Focused on results and able to explain findings in a way that answers business problems Constructive, “can do” approach to overcoming obstacles Can quickly learn new techniques and technologies Proactive in identifying process improvements Strong work ethic, willing to pitch in wherever needed Thrive in a small team, without micromanagement Ability to manage projects and timelines, including directing the work of others Wish List PhD in relevant field or Actuarial designation (FCAS/FSA) Experience in one of the following industries: healthcare, insurance (L&H or P&C), finance, life sciences, or similar fields Experience at an InsurTech or FinTech Past experience working in a HIPAA / PHI / PCI compliant environment Location The expected application deadline for this job is January 1, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events. Compensation The overall salary range for this role is $93,700 - $232,680. For candidates residing in: Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, Pennsylvania, Virginia, Washington, or the District of Columbia: $103,070 - $169,950 if overall experience is less than 10 years; and $129,250 - $213,290 for experience greater than 10 years. New York City, Newark, San Jose, or San Francisco: $112,440 - $185,400 if overall experience is less than 10 years; and $141,000 - $232,680 for experience greater than 10 years. All other states: $93,700 - $154,500 if overall experience is less than 10 years; and $117,500 - $193,900 for experience greater than 10 years. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. Benefits We offer a comprehensive benefits package designed to support employees' health, financial security, and well-being. Benefits include: Medical, Dental and Vision - Coverage for employees, dependents, and domestic partners Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges 401(k) Plan - Includes a company matching program and profit-sharing contributions Discretionary Bonus Program - Recognizing employee contributions Flexible Spending Accounts (FSA) - Pre-tax savings for dependent care, transportation, and eligible medical expenses Paid Time Off (PTO) - Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis. Holidays - A minimum of 10 paid holidays per year Family Building Benefits - Includes adoption and fertility assistance Paid Parental Leave - Up to 12 weeks of paid leave for employees who meet eligibility criteria Life Insurance & AD&D - 100% of premiums covered by Milliman Short-Term and Long-Term Disability - Fully paid by Milliman Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

Porch Group is a leading vertical software and insurance platform and is positioned to be the best partner to help homebuyers move, maintain, and fully protect their homes. We offer differentiated products and services, with homeowners insurance at the center of this relationship. We differentiate and look to win in the massive and growing homeowners insurance opportunity by 1) providing the best services for homebuyers, 2) led by advantaged underwriting in insurance, 3) to protect the whole home. As a leader in the home services software-as-a-service (“SaaS”) space, we've built deep relationships with approximately 30 thousand companies that are key to the home-buying transaction, such as home inspectors, mortgage companies, and title companies. In 2020, Porch Group rang the Nasdaq bell and began trading under the ticker symbol PRCH. We are looking to build a truly great company and are JUST GETTING STARTED. Job Title: Data Scientist, Insurance Risk and Pricing Location: United States Workplace Type: Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Data Scientist, Insurance Risk and Pricing We are looking for a results-driven Data Scientist to join our high-impact team focused on transforming the insurance and home services industries. You will play a key role in leveraging Porch's unique property data to drive innovation, improve risk understanding, and optimize pricing strategies. This role is ideal for someone who thrives in a fast-paced, data-rich environment and is passionate about delivering measurable business value. What You Will Do As A Data Scientist, Insurance Risk and Pricing Model Development: Build and deploy advanced predictive models that support pricing, retention, and customer satisfaction initiatives. Data Exploration & Analysis: Conduct deep-dive analyses to uncover insights that inform strategic decisions across the business. Cross-Functional Collaboration: Work closely with product, engineering, and business teams to scope projects and integrate data science solutions into operational workflows. Innovation & Impact: Contribute to a culture of experimentation and continuous improvement, stay up to date on new technologies and innovation, identifying new opportunities to apply data science for competitive advantage. What You Will Bring As A Data Scientist, Insurance Risk and Pricing At least 5 years of experience in data science Proficiency in Python and R, and strong SQL skills. Experience building and deploying in high traffic environments Solid understanding of statistical modeling, machine learning, and data wrangling. Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, AWS, GCP). Strong communication skills and the ability to translate complex data into actionable insights. Preferred Experience in insurance pricing and risk quantification Exposure to experimentation frameworks and causal inference methods. Actuarial Certifications ACAS and/or FCAS The application window for this position is anticipated to close in 2 weeks (10 business days) from 10/23/2025 Please know this may change based on business and interviewing needs. At this time, Porch Group does not consider applicants from the following states or jurisdictions for Remote positions: Alaska, Delaware, Hawaii, Iowa, Maine, Mississippi, Montana, New Hampshire, West Virginia, or the District of Columbia. What You Will Get As A Porch Group Team Member Pay Range*: $138,800 - $194,300 *Please know your actual pay at Porch will reflect a number of factors among which are your work experience and skillsets, job-related knowledge, alignment with market and our Porch employees, as well as your geographic location. Additionally, you will be eligible to receive long-term incentive awards, subject to program guidelines and approvals. Our benefits package will provide you with comprehensive coverage for your health, life, and financial wellbeing. Our traditional healthcare benefits include three (3) Medical plan options, two (2) Dental plan options, and a Vision plan from which to choose. Critical Illness, Hospital Indemnity and Accident plans are offered on a voluntary basis. We offer pre-tax savings options including a partially employer funded Health Savings Account and employee Flexible Savings Accounts including healthcare, dependent care, and transportation savings options. We provide company paid Basic Life and AD&D, Short and Long-Term Disability benefits. We also offer Voluntary Life and AD&D plans. Both traditional and Roth 401(k) plans are available with a discretionary employer match. Supportlinc is part of our employer paid wellbeing program and provides employees and their families access to on demand guided meditation and mindfulness exercises, mental health coaching, clinical care and online access to confidential resources including will preparation. LifeBalance is a free resource to employees and their families for year-round discounts on things like gym memberships, travel, appliances, movies, pet insurance and more. Our wellness programs include flexible paid vacation, company-paid holidays of typically nine per year, paid sick time, paid parental leave, identity theft program, travel assistance, and fitness and other discounts programs. #LI-NH1 What's next? Submit your application and our Porch Group Talent Acquisition team will be reviewing your application shortly! If your resume gets us intrigued, we will look to connect with you for a chat to learn more about your background, and then possibly invite you to have virtual interviews. What's important to call out is that we want to make sure not only that you're the right person for us, but also that we're the right next step for you, so come prepared with all the questions you have! Porch is committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives that encourage new ways of solving problems, so we strive to attract and develop talent from all backgrounds and create workplaces where everyone feels seen, heard and empowered to bring their full, authentic selves to work. Porch is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable laws, regulations, and ordinances. Porch Group is an E-Verify employer. E-Verify is a web-based system that allows an employer to determine an employee's eligibility to work in the US using information reported on an employee's Form I-9. The E-Verify system confirms eligibility with both the Social Security Administration (SSA) and Department of Homeland Security (DHS). For more information, please go to the USCIS E-Verify website.

Job DescriptionSr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a global leader in shipping and enterprise logistics services. The Data Scientist will be an integral part in helping the organization by working with numerous departments to develop solutions for customers, make sure products are as needed, and that quality and performance of products are met. This is NOT a junior position nor a developer role, it is a need for a Data Scientist that will look at arrays of capture points and customer data, model and analyze date to create better solutions and solve problems. This requires you to have permanent work authorization and not need sponsoring now or in the future. (No C2C, no brokering). Data Scientist Responsibilities: Align with SMEs to outline analytic requirements and devising the analytics that meet the requirements Develop data models top optimize and improve work of e-commerce functions Understand the flow of data in the domestic product portfolio and define new solutions to capture the right data to help measure performance Recognize emerging machine learning and pattern recognition algorithms and work with the team to integrate state-of-the-art algorithms into various solutions including product performance Become a SME for all domestic product portfolio data sources and help define interfaces across various data points to consolidate to produce required analytics Gain industry knowledge to understand and lead analyses of customer injection, market trends and competitive landscape Data Scientist Requirements: Bachelor's (master's is a plus) or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, data science or computer science). Must have data modeling, predictive analytics and/or machine learning experience 5 years of related work experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software MUST HAVE experience in Azure and Azure Data Lake Storage / ADLS Hands-on work with Azure tools: Power BI, Azure Synapse and Azure Data Explorer, SQL. You should know how to build a report off Azure and link it to Power BI This is not a developer position, but you must possess strong SQL coding skills Experience in data mining and understanding of machine-learning and operations research is an advantage Analytical mind and business acumen with a problem-solving aptitude and the communication skills to utilize these skills Nice to have: Experience in data mining and understanding of machine-learning and operations research is an advantage Proficiency in Excel, PowerPoint, MS Access is a plus Knowledge of using machine learning workflow/toolkits i.e., Kubeflow and analytics engine i.e. Spark Any familiarity with other data analytics tools, data frameworks (e.g., Hadoop) is an asset Knowledge of Python will be a plus Would you like to know more about our new opportunity? For immediate consideration, please apply online while viewing all open jobs at ******************* . ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and clients' needs and goals and serving both with integrity and a shared desire to succeed. We are proud to be an equal-opportunity workplace dedicated to pursuing and hiring a diverse workforce.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. At Pinterest, Shopping is a strategic initiative that aims to help Pinners take action by surfacing the most relevant content, at the right time, in the best user-friendly way. We do this through a combination of innovative product interfaces, and sophisticated recommendation systems. We are looking for a Staff Data Scientist with experience in machine learning and causal inference to help advance Shopping at Pinterest. In your role you will develop methods and models to explain why certain content is being promoted (or not) for a Pinner. You will work in a highly collaborative and cross-functional environment, and be responsible for partnering with Product Managers and Machine Learning Engineers. You are expected to develop a deep understanding of our recommendation system, and generate insights and robust methodologies to answer the “why”. The results of your work will influence our development teams, and drive product innovation. What you'll do: Ensure that our recommendation systems produce trustworthy, high-quality outputs to maximize our Pinner's shopping experience. Develop robust frameworks, combining online and offline methods, to comprehensively understand the outputs of our recommendations. Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners. Work cross-functionally to build relationships, proactively communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. Relentlessly focus on impact, whether through influencing product strategy, advancing our north star metrics, or improving a critical process. Mentor and up-level junior data scientists on the team. What we're looking for: 7+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data. Strong interest and experience in recommendation systems and causal inference. Strong quantitative programming (Python/R) and data manipulation skills (SQL/Spark). Ability to work independently and drive your own projects. Excellent written and communication skills, and able to explain learnings to both technical and non-technical partners. A team player eager to partner with cross-functional partners to quickly turn insights into actions. Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$164,695-$339,078 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Senior Data Scientist Hours: Monday - Friday, 8:00 am to 5:00 pm, 40 Hours/Week Responsibilities Support the GenAI Center of Excellence team, which drives innovation by building new generative AI applications and enhancing RealPage's existing systems with GenAI capabilities. Contribute to RealPage's AI go-to-market strategy, by creating cutting-edge solutions that empower our users and clients. Lead the development, deployment, and scaling of advanced AI models that address real-world challenges in the PropTech space. Fine-tune pre-trained foundation models, apply prompt-engineering and RAG techniques, utilize agentic frameworks, and work closely with product and engineering teams to create impactful AI solutions that support business objectives and transform user experiences. Evaluate and utilize appropriate generative models, such as GPT-4, LLaMA, Gemini, or Claude, to develop Gen AI applications such as text generation, summarization, conversational assistants, OCR, generative analytics, and copilots. Assess and utilize AI tools, LLMs, vector databases, RAG (Retrieval-Augmented Generation) solutions, and agentic frameworks based on project needs. Design effective prompts to minimize hallucinations, anticipate and resolve edge cases, and ensure the robustness of generative AI solutions. Construct data preprocessing and cleansing pipelines, ensuring high-quality, scalable data suitable for training and testing AI models. Develop and maintain frameworks to validate and measure LLM performance, testing models across a range of capabilities and edge cases for optimal outcomes. Provide technical leadership and mentorship to ML engineers and Data Scientists fostering a collaborative team environment and improving overall team effectiveness. Translate complex ML and Gen AI concepts into clear terms for technical and non-technical stakeholders, ensuring alignment on project goals and expected outcomes. Work with interdisciplinary teams, including AI engineers, software engineers, product managers, and domain experts to create integrated GenAI solutions. Track the latest AI research, tools, and trends, and adopt innovative approaches to continuously enhance project outcomes and drive improvements. Qualifications The position requires a Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field and five (5) years of experience in the job offered or as a Data Analyst, Software Developer, or an acceptable alternate occupation. Alternately, will accept a Master's degree in Computer Science, Machine Learning, Data Science, or a related field and three (3) years of experience in the job offered or as a Data Analyst, Software Developer, or an acceptable alternate occupation. The position requires knowledge and experience with the following skills: Python and SQL Writing production-grade code Cloud platforms for AI, such as AWS SageMaker, GCP, AI, or Azure ML Containerization, such as Docker Orchestration, such as Kubernetes; CI/CD practices MLOps frameworks Experience leading projects and mentoring team members in Agile environments, driving collaboration, and fostering team effectiveness Machine Learning, Deep Learning, Natural Language Processing Transformers, Recurrent Neural Network (RNN) models, and Long Short-Term Memory (LSTM) models LangChain, LLMs, Vector Embeddings, and RAG applications Prompt Engineering Remote work permitted. Salary and Benefits: RealPage provides a competitive salary package along with a comprehensive benefit plan that includes: Health, dental, and vision insurance. Retirement savings plan with company match. Paid time off and holidays. Professional development opportunities. Performance-based bonus based on position. Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance. Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees. #LI-DNI Pay Range USD $190,578.00 - USD $242,000.00 /Yr.