Senior computer scientist jobs near me

Candidates MUST go on-site at one of the following locations Columbus, OH Cincinnati, OH Cleveland, OH Indianapolis, IN Hagerstown, MD Chicago, IL Detroit, MI Minnetonka, MN Houston, TX Charlotte, NC Akron, OH Experience: · Master's degree and 5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, experience with big data analysis tools and techniques, and experience building and deploying predictive models, web scraping, and scalable data pipelines · Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Python, R, or SAS SQL and some sort of lending experience (i.e. HELOC, Mortgage etc) is most important Excellent communication skills If a candidate has cred card experience (i.e. Discover or Bread financial ) THEY ARE A+ fit! Education: Master's degree or PhD in computer science, statistics, economics or related fields Responsibilities: · Prioritizes analytical projects based on business value and technological readiness Performs large-scale experimentation and build data-driven models to answer business questions Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence Evangelizes best practices to analytics and products teams Acts as the go-to resource for machine learning across a range of business needs Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs Anticipates and analyzes trends in technology while assessing the emerging technology's impact(s) Coaches' individuals through change and serves as a role model Skills: · Up-to-date knowledge of machine learning and data analytics tools and techniques Strong knowledge in predictive modeling methodology Experienced at leveraging both structured and unstructured data sources Willingness and ability to learn new technologies on the job Demonstrated ability to communicate complex results to technical and non-technical audiences Strategic, intellectually curious thinker with focus on outcomes Professional image with the ability to form relationships across functions Ability to train more junior analysts regarding day-to-day activities, as necessary Proven ability to lead cross-functional teams Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret) Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL) Financial Services background preferred

*Per the client, No C2C's!* Central Point Partners is currently interviewing candidates in the Columbus, Oh area for a large client. only GC's and USC's. This position is Hybrid (4 Days onsite)! Only candidates who are local to Columbus, Oh will be considered. Data Scientist with Hands On development experience with R, SQL & Python Summary: Our client is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic role uses a consultative approach with the business segments to dive into our customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. You will also enable stakeholders with actionable, intuitive performance insights that provide the business with direction for growth. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership. This is an exciting opportunity to be a key influencer to the company's strategic decisions and to learn and grow with our Analytics team. Notes from the manager The skills that will be critical will be Python or R and a firm understanding of SQL along with foundationally understanding what data is needed to perform studies now and in the future. For a high-level summary that should help describe what this person will be asked to do alongside their peers: I would say this person will balance analysis with development, knowing when to jump in and knowing when to step back to lend their expertise. Feature & Functional Design Data scientists are embedded in the team's designing the feature. Their main job here is to define the data tracking needed to evaluate the business case-things like event logging, Adobe tagging, third-party data ingestion, and any other tracking requirements. They are also meant to consult and outline if/when business should be bringing data into the bank and will help connect business with CDAO and IT warehousing and data engineering partners should new data need to be brought forward. Feature Engineering & Development The same data scientists stay involved as the feature moves into execution. They support all necessary functions (Amigo, QA, etc.) to ensure data tracking is in place when the feature goes live. They also begin preparing to support launch evaluation and measurement against experimentation design or business case success criteria. Feature Rollout & Performance Evaluation Owns tracking the rollout, running A/B tests, and conducting impact analysis for all features that they have been involved in the Feature & Functional Design and Feature Engineering & Development stages. They provide an unbiased view of how the feature performs against the original business case along with making objective recommendations that will provide direction for business. They will roll off once the feature has matured through business case/experiment design and evaluation. In addition to supporting feature rollouts… Data scientists on the team are also encouraged to pursue self-driven initiatives during periods when they are not actively supporting other projects. These initiatives may include designing experiments, conducting exploratory analyses, developing predictive models, or identifying new opportunities for impact. For more information about this opportunity, please contact Bill Hart at ************ AND email your resume to **********************************!

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. Senior Data Scientist May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking a talented data scientist who will be instrumental in translating autonomous vehicle data into clear, actionable insights by building scalable processes and applying sophisticated analytical techniques. Your work will range from developing KPIs to using advanced machine learning models to generating predictive insights and driving strategic decision-making. Responsibilities Design, implement, and monitor robust Key Performance Indicators (KPIs) and address performance anomalies. Develop dynamic, real-time monitoring solutions and interactive dashboards to track key metrics and automate data quality checks, significantly reducing manual reporting overhead. Apply advanced analytical techniques, including specialized Machine Learning and Natural Language Processing (NLP), to conduct deep-dive analyses and uncover the root causes of trend shifts. Translate complex model outputs and findings into clear, actionable narratives and presentations. Skills Success in this role typically requires the following competencies: Ability to manage the entire analytics lifecycle, from initial problem definition and data preparation to final actionable recommendations. Advanced proficiency in designing and implementing high-impact, real-time performance dashboards. Strong foundation in Machine Learning, including the ability to design, validate, and interpret predictive models aligned with specific business objectives. Excellent technical communication skills with the ability to clearly present complex model designs and results to both technical and non-technical stakeholders. Detail-oriented with a focus on validation, testing, and error detection. Qualifications and Experience Required B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field. 5+ years of hands-on experience as a Data Scientist, Data Analyst, or a similar role with a heavy focus on business intelligence and performance measurement. Experience implementing and analyzing KPIs for large scale complex systems, including trend monitoring and anomaly detection using ML. Proficiency in Python and SQL. Expertise in machine learning libraries like Scikit-learn, TensorFlow/PyTorch. Expertise in PySpark/Apache Spark for handling large-scale data processing. Desired Background in robotics or autonomous systems. Demonstrated ability to generate insights and drive business decisions. Experience using LLMs for data analytics. Familiarity with big data technologies (Spark, Hadoop, Kafka) and cloud platforms (AWS, GCP, Azure) to engineer and deliver scalable, production-ready analytics solutions. Familiarity with data engineering principles, including building and maintaining robust data pipelines. 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$150,000-$240,000 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

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.

You will be a strategic partner to product, engineering, and trust and safety teams, responsible for defining evaluation frameworks, leading experiments (A/B, quasi-experiments, etc.), and turning offline and live model performance into product improvements. This role requires a strong track record in startup-style experimentation (moving quickly with scrappy but rigorous methods) and product experimentation at scale. The ideal candidate will also bring proven experience in leading and managing teams to deliver high-impact data science work. 100% remote Salary Range $120,000 - $260,000 Essential Job Functions ● Lead end-to-end experimentation: hypothesis generation, metric design, experiment design (A/B, multivariate, sequential, etc.), analysis, and interpretation. ● Build and maintain evaluation frameworks for LLMs: correctness, consistency, safety, hallucination detection, bias/fairness, etc. ● Develop predictive models, classification/ranking systems, and heuristics to improve product features related to AI/language generation. ● Collaborate with prompt engineers & model builders to test prompt strategies, fine-tuning, or model selection; work on failure modes/error analysis. ● Automate experiment pipelines: dashboards, monitoring, alerting, instrumentation. Ensure data quality & measurement integrity. ● Use causal inference / observational studies when randomized experiments are not feasible. ● Present findings and recommendations to both technical and non-technical leadership; influence roadmap decisions. ● Drive experimentation in startup-like environments: rapid iteration, learning from limited data, and balancing speed with rigor. ● Shape large-scale product experimentation: define frameworks for experimentation at scale and integrate results into product strategy. ● Lead and mentor teams of data scientists, analysts, and engineers; set best practices for experiment design and AI product evaluation. Requirements ~8-12+ years of experience in data science / ML roles, ideally with experiment design/product analytics. Proven track record in both startup-style and large-scale product experimentation. Experience leading teams, setting strategy, and driving execution in cross-functional environments. Strong background with statistical methods, causal inference, and rigorous measurement. Experience using LLMs / NLP / AI / prompt engineering or a closely related field. Excellent coding skills in Python (or similar), strong SQL, experience building and deploying models or analytic pipelines. Ability to work in cross-functional teams, translate technical results into business or product changes. Strong communication skills; ability to explain complex analyses to non-technical stakeholders. Preferred Qualifications Experience fine-tuning or working with multiple LLM providers / APIs. Experience with experiment platforms or building internal tooling for experimentation & model evaluation. Experience in voice / ASR or other multi-modal data. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Flexible Paid Time Off Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Work From Home Stock Option Plan

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

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.

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.

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

Your Opportunity as the Senior Data Scientist As a Senior Data Scientist, you will partner with internal stakeholders to better understand their business needs, and will be responsible for dissecting business problems, proposing quantitative solutions, analyzing business partners' needs, and developing data driven solutions to improve and achieve business objectives. Location: Working Remote USA In this role you will: Build advanced quantitative / statistical / machine learning algorithms and perform analyses on a variety of datasets to identify trends, patterns, correlation / causations and predict future business outcomes Build and deploy prototype solutions to showcase ideas and proof of concepts and transition these prototype products to production according to company standards Perform validation, testing, and documentation of newly developed predictive models. Assist in maintaining existing models and data product Facilitate conversations and effectively communicate with team members and business partners. Involve others in decision making and take input from others when making complex decisions Responsible for advancing relevant, informative, and user-friendly insights to help inform and influence strategic decisions across all our businesses Become a subject matter expert and trusted adviser in data science Mentor junior team members and foster an environment of learning and inclusion. The Right Place for You We are bold, kind, strive to do the right thing, we play to win, and we believe in a strong community that thrives together. Our culture is rooted in our Basic Beliefs, and we believe in supporting every employee by meeting their physical, emotional, and financial needs. What we are looking for: Minimum Requirements: Bachelor's degree in Computer Science, Math, Statistics, Engineering, or relevant field 2+ years of hands-on experience developing and applying Statistical/ML predictive methods Proven experience conveying the results of complex analyses in a clear and concise manner to stakeholders Deep understanding of statistical and machine learning approaches (both supervised and unsupervised) and application to business problems Well versed in R and/or Python, with a deep understanding of relational data structures and SQL Familiarity with Git for source control management Experience in processing large volumes of structured and unstructured data Additional skills and experience that we think would make someone successful in this role (not required): Master's degree Experience processing large volumes of structured and unstructured data related to syndicated and POS data sources Familiarity with BI / visualization tools (Tibco Spotfire, Power BI, Tableau) Experience with cloud computing platforms (GCP, AWS, Azure) Experience with visualization frameworks & web development concepts (JS, HTML, CSS) Familiarity with Consumer-Packaged Goods (CPG) and Retail Learn more about working at Smucker: Helping our Employees Thrive Delivering on Our Purpose Our Continued Commitment to Ensuring a Workplace for All Follow us on LinkedIn

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.

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.

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.

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. We are looking for a Staff Data Scientist for our Engagement Ecosystem. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you'll do Develop a deep, nuanced understanding of the Pinterest engagement ecosystem and key product surfaces, quantifying ecosystem-level opportunities and risks. Lead projects on: Tradeoffs between organic engagement and advertising. Deep dives on how engagement metrics impact monetization and retention. Understanding and predicting the value of core behaviors (e.g., saving, repinning, board creation) as they relate to downstream business outcomes. Designing and evaluating interventions that sustainably boost enterprise metrics across product boundaries. Design and productionize robust, scalable ML and evaluation frameworks-spanning forecasting, recommendation, and causal inference. Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact. Collaborate across disciplines-Product, Engineering, Research, Business, and Design-translating complex data questions into actionable business insights. Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence. What we're looking for 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics. Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark. Strong product intuition-ability to scope, question, and design the right solutions for ill-defined, high-impact business problems. Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes. Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences. Track record mentoring and growing data talent at the staff/senior IC level. Cross-functional leadership and the ability to align competing interests towards shared goals. Masters degree in a technical field (e.g., Computer Science, Statistics, Mathematics, Engineering, Social Sciences). 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-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.

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.

Bioinformatics Engineer- Nextflow & AWS Specialist (6 months contract) We are seeking an experienced Senior Bioinformatics Engineer with deep expertise in Nextflow, AWS cloud infrastructure, and containerized workflow development. This role is ideal for someone who can architect, optimize, and scale production-grade bioinformatics pipelines while collaborating across engineering and scientific teams. You will be responsible for building resilient, high-performance workflow systems that support large-scale NGS data processing. This position requires availability to work within Pacific Time (PST) hours. What You'll Do Architect and develop advanced Nextflow pipelines for NGS data processing, analysis, and multi-step workflow orchestration. Deploy, operate, and optimize pipelines on AWS EKS and Batch. Build and maintain Docker-based container environments for reproducible and portable bioinformatics pipelines. Develop and maintain robust Python tooling to support workflow automation, QC reporting, monitoring, and data integration. Implement workflow observability, logging, and cost-optimized execution strategies for large-scale genomic data. Collaborate with sequencing, bioinformatics, and platform engineering teams to improve workflow reliability and performance. Establish best practices for pipeline versioning, continuous integration, automated testing, and cloud-based deployment. Ensure pipelines are highly reproducible, fault-tolerant, and suitable for production environments in regulated or high-stakes settings. What You'll Bring Required Qualifications 5+ years of experience in bioinformatics, computational biology, workflow engineering, or related fields. Expert-level proficiency in Nextflow, including DSL2, modules, workflow optimization, and pipeline debugging. Strong hands-on experience with AWS, particularly: EC2 compute environments S3 for cloud storage EKS for workflow execution Deep expertise with Docker, including custom image creation, multi-stage builds, and best practices for pipeline reproducibility. Strong Python development skills with production-level experience, testing frameworks, packaging, and tooling. Experience operating in cloud-native environments with distributed computing, autoscaling, cost-optimization, and workflow orchestration. Solid understanding of NGS data formats, sequencing workflows, and common bioinformatics tools. Strong Linux skills and experience with CI/CD systems. Ability to work effectively in PST time zone (remote or onsite). Nice to Have Experience with Java/Groovy Experience building and using APIs Experience with Nextflow Tower or similar workflow management platforms. Experience configuring Kubernetes workloads for genomics pipelines. Background in synthetic biology, DNA design, or high-throughput genomic library analysis. Experience collaborating with wet labs or platform teams on sequencing pipeline requirements. About Twist Bioscience Twist Bioscience synthesizes genes from scratch, known as “writing” DNA. Just as children learn to both read and write, the next phase of development for the genomics revolution is the ability to write DNA. At Twist Bioscience, we work in service of people who are changing the world for the better. In fields such as health care, agriculture, industrial chemicals and data storage, our unique silicon-based DNA Synthesis Platform provides precision at a scale that is otherwise unavailable to our customers. Twist Bioscience Corporation is an Equal Opportunity Employer. Twist Bioscience Corporation provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic characteristics, or any other category protected by law.

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.