Biostatistician jobs in Pflugerville, TX - 113 jobs

Let's face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. We do. We can't cram it all in here, but you'll start noticing it from the first interview. Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you've ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters. This makes for a remarkably focused and fulfilling work experience. Frankly, it's not for everyone. But for people with fire in their belly, it's a game-changing, career-defining, soul-lifting move. Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture. If that sounds exciting-and the job description below feels like a fit-we really should start talking. We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week. Our hub locations include: Raleigh, NC; Austin, TX; Chicago, IL; Minneapolis, MN; New York City, NY; San Francisco, CA; and the Washington, DC metro area. If this is a role based in Europe, our Europe hub locations are London, UK and Amsterdam, The Netherlands. Please ensure you can realistically commit to this structure before applying. At BetterUp, data is the foundation of how we unlock human potential. We're looking for an experienced Product Analyst to partner with our Product squads, using gen AI and advanced analytics to drive product innovation and optimize user experiences across our Human Transformation Platform. You'll thrive in this role if you're naturally curious, proactive in surfacing insights, and passionate about working in a fast-paced, high-growth environment where innovation, collaboration, and strategic thinking drive meaningful impact. If you're excited about leveraging the power of analytics and cutting edge technology to shape product strategy and create data-driven solutions, we'd love to hear from you! 🚀 What you'll do: Partner with Product squads to design measurement strategies, define success metrics, and ensure data-driven decision making across the product development lifecycle Collaborate with Engineering to instrument new product features and build datasets that enable deep user behavior analysis and product performance monitoring Leverage GenAI tools to accelerate insight generation, automate routine analyses, and explore innovative approaches to understanding unstructured user feedback and behavioral patterns Champion data literacy and AI-powered analytics across product teams, training partners on both traditional self-service tools and emerging GenAI capabilities for hypothesis generation and insight discovery Own and evolve product analytics infrastructure in Looker, including building self-serve dashboards, defining key dimensions, and ensuring data quality across product metrics Design and analyze A/B tests and product experiments, translating results into clear recommendations for product optimization and feature development Conduct deep-dive analyses to understand user journeys, identify friction points, and uncover growth opportunities that directly inform product roadmaps Build standardized KPI frameworks and automated reporting to monitor product ecosystem health, user engagement, and feature adoption Translate complex analytical findings into compelling narratives for cross-functional stakeholders and executive leadership If you have some or all of the following, please apply: Technical expertise: 5+ years in SQL with strong statistical analysis coding/programming skills; LookML and Python experience preferred Product analytics depth: Proven experience in B2B SaaS product analytics, including user behavior analysis, funnel optimization, and cohort analysis; hands-on experience with tools like Amplitude and experimentation platforms AI innovation mindset: Curiosity and hands-on experience with GenAI applications in analytics-whether through prompt engineering, LLM-powered data exploration, or automated insight generation-with enthusiasm for transforming how analytics teams operate Strategic mindset: Demonstrated ability to connect data insights to business outcomes, think like a product owner, and make effective prioritization decisions in fast-moving environments Communication excellence: Exceptional ability to distill complex analytical work into clear, actionable recommendations for both technical and non-technical audiences Builder mentality: Self-starter approach with experience scaling analytics capabilities, defining measurement frameworks, and establishing best practices in growing organizations; excited to help shape the future of AI-enhanced product analytics Benefits: At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community. Access to BetterUp coaching; one for you and one for a friend or family member A competitive compensation plan with opportunity for advancement Medical, dental, and vision insurance Flexible paid time off Per year: All federal/statutory holidays observed 4 BetterUp Inner Workdays (*********************************** 5 Volunteer Days to give back Learning and Development stipend Company wide Summer & Winter breaks Year-round charitable contribution of your choice on behalf of BetterUp 401(k) self contribution We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don't hesitate to reach out - we encourage everyone interested in joining us to apply. BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future. The base salary range for the role is as follows: $186,000 - $256,000: New York City and San Francisco $162,000 - $223,000 : All other locations Protecting your privacy and treating your personal information with care is very important to us, and central to the entire BetterUp family. By submitting your application, you acknowledge that your personal information will be processed in accordance with our Applicant Privacy Notice . If you have any questions about the privacy of your personal information or your rights with regards to your personal information, please reach out to ******************* #LI-Hybrid

Inclusion at Bumble Inc. Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc). Bumble Inc. is looking for a Senior Data Scientist to join our Product Data Science team - helping to uncover the drivers of member behaviour and optimise performance across our products. You'll play a key role in driving business impact alongside product and engineering. Product Data Scientists operate across all stages of the product development lifecycle constantly looking for opportunities, providing actionable insights, and navigating trade-offs. This role is ideal for someone who's passionate about applying analytical thinking to product problems. You'll use SQL, Python, and statistical or machine learning techniques to uncover insights, build models, and make data accessible and actionable for product partners. If you're curious, commercially minded, and thrive in a collaborative environment where data drives decisions, we'd love to hear from you.KEY ACCOUNTABILITIES Be an analytical thought partner to a cross-functional team of product managers, engineers and designers. This will include providing analytical support across all areas of the product development lifecycle, from ideation and broad product strategy to analytical deep dives and experimentation. Work cross-functionally to track events in the app, understanding which events are critical to understanding user behaviour. Provide actionable insights on product strategy to your stakeholders, automating decision-making where applicable and providing tools and solutions that help enable self-service and scalability. Apply statistical and machine learning techniques (e.g., clustering, regression, classification) to support segmentation, and performance diagnostics. Translate complex analytical outputs into clear, commercially relevant insights and recommendations for decision-makers. Contribute to data quality related to the domain, proactively working with Data and Analytics Engineering and other teams to improve data collection and modelling. Create an environment of utilising data for planning and execution, always keeping in mind alternative and creative solutions to performance measurement across a variety of product initiatives. EXPERIENCE WE ARE LOOKING FOR Proven experience in Product Data Science/Analytics, being able to elaborate on the business impact you have driven in your previous experience. Preference for experience working on similar dating/social/gaming tech products or high-data-volume platform businesses. Strong Python and SQL skills for data manipulation, modeling, and automation. Experience applying machine learning or statistical methods to real-world business problems (e.g., clustering, regression, or propensity modeling). Proven ability to connect analytics to commercial outcomes - you think in terms of impact, trade-offs, and growth opportunities. Skilled in data visualisation and storytelling, using tools such as Looker, Tableau. Excellent communicator with the ability to work cross-functionally and translate analytical findings into business language. A collaborative problem-solver with a curiosity for understanding how data influences business performance. Comfort in operating in ambiguous and complex problem spaces, and helping product teams define hypotheses for optimisation. Confident in pushing back and saying no where needed. $185,000 - $210,000 a year For base compensation, we set standard ranges for all roles based on function, level, and geographic location. This position is also typically eligible to participate in our short- and long-term incentive programs. Benefits include Medical, Dental, Vision, 401(k) match, Unlimited Paid Time Off Policy. Maven Fertility: $10,000 lifetime benefit for fertility, adoption, abortion care, and more.26 Weeks Parental Leave: For both primary and secondary caregivers.Family & Compassionate Leave: Inclusive of domestic violence recovery.Unlimited Paid Time Off: Take the time you need.Company-wide Week Off: Annual collective rest for the entire company.Focus Fridays: No meetings, emails, or deadlines-just deep work. About UsBumble Inc. is the parent company of Bumble Date, BFF, and Badoo. The Bumble platform enables people to build healthy and equitable relationships, through Kind Connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date) and friendship (BFF). BFF is a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections and community based on shared interests. Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products. AI in Bumble Inc. Hiring At Bumble, we may use AI tools to support parts of our recruitment process - such as helping us record, transcribe, and summarize conversations, and supporting job alignment by comparing resumes and job descriptions to highlight skills and potential roles that may be a good match. These tools help us work more efficiently and stay focused on you during our conversations. Importantly, all hiring decisions are made by people. AI is used only to support our team's efficiency and improve the candidate experience - not to evaluate or decide on your candidacy. Participation in AI-supported interviews and conversations is completely voluntary and will not impact your candidacy. If you'd prefer to opt out, simply let your recruiter or interviewer know at the start of a call, or anytime during the interview or conversation. Summaries and related data are retained only as long as needed in line with our internal data retention policies. If at any point you'd like a transcription or summary deleted, please contact your recruiter directly.For further information on how we hold and manage your data, please refer to our Privacy Policy.

***************** is planning to bring a million developers and a billion users onchain. We need your help to make that happen. At Base, we live by ourhttps://x.com/jessepollak/status/***********32673997, where our team rises to the challenge, embraces hard weeks, and makes small to significant personal tradeoffs when necessary to drive impact and innovation. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. *What you'll be doing:* * Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making. * Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. * Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. * Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders. *What we look for in you:* * A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience * Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. * Ability to influence external stakeholders by synthesizing data learnings into compelling stories. * Practical expertise in applying complex modeling frameworks to practical business problems. * Professional experience using SQL and Python. * Experience working with digital products in an iterative development cycle. * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370-$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available **************************************************************** AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com.

_corporate_fare_ Google _place_ Austin, TX, USA; Sunnyvale, CA, USA; +2 more; +1 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Austin, TX, USA; Sunnyvale, CA, USA; San Francisco, CA, USA** . **Minimum qualifications:** + Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. + 4 years of experience in data science with a focus on time series analysis and forecasting. + Experience with Python or R programming with relevant forecasting libraries. + Experience in causal inference, A/B testing, statistical modeling, or machine learning. + Experience with forecasting methods, from classical statistical models to machine learning approaches. **Preferred qualifications:** + PhD degree in a relevant quantitative field. + 6 years of experience deploying and maintaining forecasting models in a live production environment. + Experience with recent advancements in forecasting, such as foundation models (TimesFM) or deep learning approaches. + Experience in a demand planning, contact center, or operational workforce management role. + Familiarity with cloud platforms (e.g., Google Cloud Platform) and their AI/ML services (e.g., BigQuery, Vertex AI). + Ability to apply judgmental forecasting and incorporate qualitative business adjustments into model outputs, especially for new or unprecedented events. **About the job** In this role, you will develop and maintain forecasting models that predict customer support case volume. Your work will directly inform staffing, budgeting, and planning decisions, enabling the delivery of exceptional customer support at scale. The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Develop, deploy, and maintain time series forecasting models to predict customer support case volumes across various products, regions, and channels. + Build and automate scalable data pipelines to ensure timely and reliable data for model training and inference. + Monitor and evaluate model performance continuously, tracking key accuracy metrics, identifying model drift, and ensuring forecast reliability, and researching and implementing forecast techniques to continuously improve model accuracy and capabilities. + Partner with operations, finance, and leadership stakeholders to understand their planning needs, deliver forecasts, and explain variance drivers. + Communicate forecast results and uncertainty to both technical and non-technical audiences to guide decision-making. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Data ScientistABOUT US Shipwell believes we are fundamentally changing the logistics industry and breaking the mold for how the supply chain has been operated for centuries. We work with thousands of shippers and carriers to create the first real solution in logistics through an unmatched technology platform. With a fast-paced and gritty startup mentally, which is generating a buzz in the investment world, Shipwell provides a unique opportunity to get in on the ground floor of a future Fortune 500 Company. We are backed by some of the best investors in both Silicon Valley and Austin who believe we are onto something and we need the right people to continue our rapid growth plan towards changing the world of freight. DATA SCIENTIST The Data Scientist role provides you with a unique opportunity to join a high growth, third-party logistics company as we pivot into a record-breaking 3rd year. We're laying the foundation on which our industry will be reinvented; we're looking for individuals who want to part of a significant change. Ideas come from being an innovator and an amplifier, that strives to achieve more, for themselves and to enable greatness in others. WHAT YOU WILL DO WHEN YOU GET HERE Analyze client proprietary and public domain datasets leveraging advanced analytics and statistics to work on scheduling and network optimization, macroeconomic forecasting, pricing, and routing Source, clean, and process a diverse set of data streams Identify and understand business needs and contextualize results of the analysis to drive impact for the organization as a whole Dynamically collaborate with operations and product teams to refine project goals, scope, and timelines Provide consulting services on both internal and external analytic questions WHAT YOU NEED TO HAVE Bachelor's degree in mathematics/statistics, engineering, computer science, or other technical disciplines Expert knowledge in a mathematical programming language of choice (preferred: R, Python, Matlab) Experience with ETL processes for manipulating data sets Detail-oriented, proactive problem-solving skills Ability to communicate complex findings in a clear, precise, and actionable manner. Able to translate high-level ideas into well-defined problems 2+ years work experience (non-academic) Experience with API integration Experience with a visualization platform (e.g. Tableau) and experience with database manipulation (e.g. SQL) - preferred WHY SHIPWELL? Corporate headquarters in sunny Austin, TX Incredible growth opportunity at one of the fastest growing companies in Austin The kitchen is fully stocked with local coffee, drinks, and snacks Company sponsored healthcare insurance and dental insurance Team building events and office competitions Partial cell phone reimbursement Receive an elite technology package to include a brand new MacBook Pro! Competitive salary Opportunity to put your thumbprint on a high-growth company in the early stages An open work environment where everyone, even the new folks, have a voice View all our open positions at ************************ We've announced our Series A financing round! Read more on TechCrunch. Shipwell is an equal opportunity employer. In keeping with the values of Shipwell, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We have pledged to create a diverse and culturally strong company and environment.

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. Realtor.com is a two-sided platform helping match the consumers on our site and apps to our paying customers. The Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize every aspect of consumer/customer experience and to drive the company's commercial performance. Avail (part of Realtor.com) is a fast-growing platform transforming how independent landlords and tenants manage the rental experience. Built with the spirit of a startup and backed by the scale and stability of a leading digital real estate company, Avail provides a complete suite of tools, resources, and education to help landlords manage their properties with confidence and professionalism. As part of the Avail team, you'll have the opportunity to make a meaningful impact - shaping the future of this rapidly expanding brand and helping to reimagine the rental industry for millions across the U.S. Role Description We are seeking a Senior Data Scientist with a strong background in machine learning, experimentation, strategic analytics, and cross-functional stakeholder support to help shape the future of our Data Science program at Avail. As a trusted partner to the Avail leadership team, you will be the vital link between complex data and pivotal business moves, striving to enable and empower data-driven decision making across the business. In this role, you will analyze large and complex data sets, conduct robust analyses, generate actionable insights, and deliver clear recommendations that inform critical decisions across strategy, product, marketing, and operations. The ideal candidate is a detail-oriented data science expert, a self-starter comfortable with ambiguity, and a team player who excels in cross-functional collaborations, with the ability to work in a fast-paced environment and driven by a desire to make things better. What you'll do: + Partner closely with Avail business stakeholders to understand/clarify needs and requirements, and translate them into data science problems. + If the required data is not available, work with the team to identify the right data sources, and build analytical data layers in collaboration with the data engineering partner. + Independently conduct end-to-end data science work from data collection, ETL, model development/analysis, to the delivery of insights and recommendations. + Serve as Avail's Data Science expert and own experimental design and advanced statistical analysis best practices; provide consultation and collaborate closely with colleagues conducting research/experiments in product, marketing and beyond. + Document methodologies, assumptions, and recommendations clearly for both technical and non-technical audiences. + Build and grow adoption of self-service solutions that empower stakeholders to access data and insights, and hence accelerate data-driven decision making. + Work with Avail leadership team on strategic initiatives and planning, providing analytical support on financial modeling, forecast, opportunity sizing, and so on. + Foster a culture of accountability and transparency by ensuring reproducibility, traceability, and clear code documentation in all analytics work. How We Work: We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our Austin headquarters where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. How We Reward You: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: + Inclusive and Competitive medical, Rx, dental, and vision coverage + Family forming benefits + 13 Paid Holidays + Flexible Time Off + 8 hours of paid Volunteer Time off + Immediate eligibility into Company 401(k) plan with 3.5% company match + Tuition Reimbursement program for degreed and non-degreed programs + 1:1 personalized Financial Planning Sessions + Student Debt Retirement Savings Match program + Free snacks and refreshments in each office location What you'll bring: + Bachelor's degree in a quantitative field ( _e.g._ , Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science). + 6+ years of relevant experience as a Data Scientist, Data Analyst, Product Analyst, or similar role, using SQL and Python (pandas, numpy, scipy). + SQL & Python proficiency is a must, with 6+ years of experience. + Strong capability to work with complex data sets and perform EDA, descriptive, diagnostic, and predictive analyses. + Sound understanding of statistical methods for experimentation (randomization, t-tests, confidence intervals, etc.). + Experience with cloud-based data environments such as Snowflake and AWS. + Proven experience using data science to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities. + Excellent written and verbal communication skills, with experience presenting to diverse technical and business audiences at different levels. + Experience in collaborating with cross-functional partners. + Self-motivated and self-managing, with strong time management, documentation, and organizational skills. Preferred Qualifications + Master's or Ph.D. degree in a quantitative field ( _e.g._ , Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science). + Experience creating business intelligence reports using Tableau, Mixpanel, Power BI, or similar tools. + Familiarity with revenue or monetization analytics. + Experience in the tech sector, especially marketplace or property tech. Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals. Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets

* Bachelor's degree in Computer Science, CIS, Engineering, or related field and 12+ years IT experience, including 6+ years of experience in IT architecture. Additional equivalent work experience may be substituted for the degree requirement. * 4+ years of experience leading technical teams with or without direct reports. * 2+ years experience working with data and integration technologies (e.g., ESB ETL, EAI). * 2+ years experience working with data analysis tools and/or techniques. * 3+ years experience defining data architecture in a corporate or enterprise environment. Preferred Qualifications: * Master's degree in Computer Science, CIS, Engineering, or related field. * Six Sigma certification. * 3+ years of work experience in an IT role requiring interaction with senior leadership. * 3+ years of experience with commercial off-the-shelf package integration. * 6+ years of experience architecting, designing, and implementing enterprise-scale, high volume, high-availability systems. * 2+ years of cross-domain IT architecture experience. * 5+ years of experience establishing and documenting standards, guidelines, and best practices. * 3+ years of experience with modeling techniques (e.g., BPM, UML, ER). * 3+ years of experience working with Enterprise Architecture frameworks, such as TOGAF or Zachman. * 3+ years of experience working with third party IT vendors and/or IT system solution providers. * 3+ years IT experience in the retail industry. * 1+ years of experience working in a large matrixed organization. * 2+ years experience working with information management repositories. * 2+ years experience working with canonicals within integration architecture. * 2+ years experience in the design of target state architecture in a corporate or enterprise environment. * 4+ years experience in the design and integration of relational databases. * 1+ years experience working with or serving as a member of a data governance board. Qualifications Analysis, Architecture, Data Analysis, Data Architecture, Development, Genetics, HTTP, Management

We are seeking an experienced Snowflake Data Modeler to design, develop, and optimize scalable data models and solutions on the Snowflake cloud platform. The ideal candidate should have strong expertise in migrating and modernizing legacy databases (including MS Access) into Snowflake and ensuring data models meet business requirements, scalability, and performance standards. Key Responsibilities: * Design, develop, and maintain conceptual, logical, and physical data models in Snowflake. * Lead migration efforts from MS Access databases into Snowflake, ensuring data integrity and optimization. * Collaborate with business stakeholders, data engineers, and analysts to gather requirements and translate them into efficient data models. * Define and enforce data modeling standards, naming conventions, and best practices. * Optimize Snowflake schemas (Star, Snowflake, Data Vault) for performance, scalability, and cost efficiency. Required Skills & Experience: * 6-7 years of hands-on experience in data modeling (conceptual, logical, physical). * Strong expertise in Snowflake cloud data warehouse design and optimization. * Proven experience migrating databases from MS Access to Snowflake * Proficiency in SQL and query optimization. * Experience with dimensional modeling (Star Schema, Snowflake Schema) and normalized forms. * Strong understanding of data governance, data quality, and metadata management. Job Location : Austin, Texas, United States Latest Digital Insights Knowledge Hub BLOG Scaling Innovation with Lab as a Service: Turning Digital Transformation into Enterprise Value Innovation is no longer a long-horizon concept. It is a… Success Story Enhanced UX Helps Insurer Collect $800,000… Apexon improves user conversion with a complete redesign… Success Story A Leading Automotive SaaS Provider Revolutionizes Identity Management with… Apexon Enhances User Satisfaction 40% Increased System Resilience with Centralized Identity Management Videos AgentRise on GCP: Agentic AI, Natively Integrated Apexon has built the #agentrise foundation on Google… Explore More Insights WHITE PAPER The Future of BFSI: Generative AI in Financial Services Building A Roadmap To Success Blog Why Rapid Experimentation Is the New Enterprise Superpower Seventy percent of Fortune 500 companies from the year 2000… Services TAKE THE QUALITY ENGINEERING SELF-ASSESSMENT How can we help you? Please enable JavaScript in your browser to complete this form. Please enable JavaScript in your browser to complete this form. Multiple Choice * * Artificial Intelligence * Data & Analytics * Digital Engineering * Experience Name * First Last Business Email * Direct Phone Number Question or Message * Custom Captcha * = Checkboxes * privacy policy and terms and conditions)" aria-errormessage="wpforms-24789-field_29_1-error" checked='checked'>By checking this box, I agree to receive SMS messages about [Message Type] from Apexon at the phone number provided above. The SMS frequency may vary. Data rates may apply. Text HELP to ************** for assistance. Reply STOP to opt out of receiving SMS messages (privacy policy and terms and conditions) Lead Source *Lead SourceSearch - Organic Submit *************** Collapse All Quick Links Artificial Intelligence Agentic AI Generative AI Advanced Analytics, AI/ML Intelligent Automation Data & Analytics RegTech Data Visualization Microsoft Fabric Data Management & Governance Data Strategy Managed Data Services Data Engineering Digital Engineering Cloud Native Platform Engineering * Cloud Strategy * Cloud Migration * Cloud Enablement * Cloud-Native Development * Application Modernization * Site Reliability Engineering * DevOps * Chaos Engineering Application Development * Custom Application Development * Low-code/No-code Development * Interactive Experiences IoT Development * Connected Medical Devices Quality Engineering * Test Automation * Functional Testing * Performance Testing * Regression Testing * Security Testing * Intelligent Testing & Automation for Salesforce * Compatibility Testing * Selenium-Based Test Automation * IoT Testing * Wearable Testing * Visual Testing * Intelligent Testing * Service Virtualization Experience UI/UX * UX Workshops * UI/UX Design * UX Research-as-a-Service Digital Commerce * Ecommerce Enablement * Digital Experience * Managed Services Salesforce Customer Experience Employee Experience Enterprise Service Management Apexon, Copyright 2026. All rights reserved. * * * * * * SitemapGlossaryPrivacy PolicyTerms & Conditions

SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud's solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work. If you're driven to align your career with a fantastic mission, look no further! We are seeking a Senior Data Scientist to help drive our analytic, machine learning, and other AI capabilities and resulting product offerings for cybersecurity use cases. You will be instrumental in shaping and executing data science priorities and in taking customer challenges and producing effective, efficient, technical solutions that support strategic goals and improve the customer experience. This role is ideal for a creative and highly motivated data scientist who thrives in a collaborative environment and is passionate about leveraging math and analytics to deliver insight, understanding, and impact to customers. What You'll Do: Advanced Analytics & Modeling Tackle complex problems by selecting and applying the right mathematical approaches and machine learning models across structured and unstructured data Design, train, test, and tune machine learning models for threat intelligence, incident detection, alerting, risk scoring, and more Build successful prototypes to validate model performance and feasibility Design and implement preprocessing pipelines and feature engineering workflows Define quantitative metrics to track model accuracy, performance, and business impact Create and maintain clear internal, external, and compliance documentation on models ML applications will be diverse and span foundational learning paradigms Cross-Functional Problem Solving Translate customer and internal into analytically driven questions Rapidly spin up MVPs to test solutions Propose and prototype new data sources and features, and Work with engineers to support deployment of production-grade models Ensure data science work - in purpose and function - align with product and strategic goals Collaborate with engineering, product, research, and customer-facing teams to: Communicate and Advocate Communicate analytic and modeling design choices and rationale to technical and non-technical stakeholders Maintain cross-functional feedback loops - both internal and with select customers - to evaluate the technical and contextual success of data science products Requirements: Deep expertise in applied math (linear algebra, calculus, statistics, optimization, graph theory) and understanding of when to apply various modeling approaches Minimum 5 years in data science or analytics with proven success in the design, training, and evaluation of ML models Strong coding capabilities, specifically solid experience in Python using packages like using PyTorch/TensorFlow, scikit-learn, XGBoost, and others Excellent communication skills; adept at translating complex analyses into digestible recommendations for diverse teams Comfortable owning and driving projects in a fast-paced, high-stakes environment Nice to Have: Experience with Natural Language Processing (NLP) algorithms, specifically text classification, NLP-based threat tagging, or similar tasks Experience with data engineering or ELT/data pipeline creation Domain experience in cybersecurity, threat intelligence, account takeover, ransomware analysis, or similar fields Familiarity with graph analytics, knowledge graphs, or cybersecurity ontologies (e.g., MITRE ATTACK) For applicants residing in California, please click here to read SpyCloud's CCPA Notice. SpyCloud is not sponsoring visas at this time. U.S.-Based Benefits + Perks (for Full Time Employees): At SpyCloud, we are committed to working alongside individuals who are equally passionate about preventing cybercrime, regardless of their department or role. Guided by our core values in all business decisions, we prioritize unity in our mission and ensure all SpyCloud employees have the support and benefits they need to stay focused on our goals. In addition to our engaging workspace in South Austin, flexible and remote-friendly work options, and competitive salary package, we offer our employees a comprehensive benefits package that includes: 401(k) with Employer Contribution Health, Vision, and Dental Insurance Health Savings Account (HSA) available with Employer Contribution Employer Paid Life, Short-term, and Long-term Disability Insurance Generous PTO Plan and 16 paid holidays per year U.K.-Based Benefits + Perks (for Full Time Employees): Retirement Savings Plan with Employer Contribution Employer Provided Private Health Insurance and Healthcare Cashplan Employer Paid Life Insurance and Income Replacement Generous Holiday Plan and 14 paid holidays per year About SpyCloud: SpyCloud is on a mission to disrupt the cycle of cybercrime. As the leader in Cybercrime Analytics, our solutions thwart cyberattacks that originate from the use of stolen data, including account takeover, ransomware, and online fraud. More than 550 customers and partners trust SpyCloud to protect users' identities, prevent targeted attacks, and unmask adversaries attempting to harm businesses and their customers. To learn more and see insights on your company's exposed data, visit SpyCloud. Our Mission: Our mission is to make the internet a safer place by disrupting the criminal underground. Together with our customers and partners, we aim to end criminals' ability to profit from stolen information. Who We Are: SpyCloud is a place for innovative, collaborative, and problem-solvers to thrive. Individually, we're amazing, but together, we're unstoppable. We celebrate diversity and various perspectives and aim to create an inclusive and supportive environment for all. We are proud to be an Equal Employment Opportunity and Affirmative Action employer of choice. All aspects of employment decisions will be based on merit, performance, and business needs. We do not discriminate on the basis of any status protected under federal, state, or local law. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Women, minorities, individuals with disabilities, and protected veterans are encouraged to apply. SpyCloud complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. SpyCloud expressly prohibits any form of workplace harassment. Improper interference with the ability of SpyCloud's employees to perform their job duties may result in discipline up to and including discharge. SpyCloud shares the right to work and participates in the E-Verify program in all locations. If you need assistance or accommodation due to a disability, you may contact us. Our Culture: Our culture is something really special. We're all driven to disrupt the cybercriminal economy as we keep customer accounts safe from compromise. We support a truly worthy and serious mission, but we have fun doing it together. If you are driven, inventive, and collaborative, you'll fit right in. SpyCloud's Recruitment Policy: We will never ask an applicant for sensitive or personal financial information during the recruitment process. We advise all applicants seeking employment with SpyCloud to review available information on recruitment fraud. Anyone who suspects that they have been contacted by someone falsely representing SpyCloud should email ********************. Compensation Transparency Policy: At SpyCloud, we believe in transparency and fairness in compensation. We strive to ensure that all employees are fairly compensated for their contributions, and we openly discuss our compensation philosophy and structure. We are committed to providing competitive salaries and benefits packages to attract and retain top talent, and we encourage open dialogue and feedback regarding compensation matters. Learn more and apply: SpyCloud Careers For applicants residing in California, please click here to read SpyCloud's CCPA Notice.

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. Realtor.com is a two-sided platform helping match the consumers on our site and apps to our paying customers. The Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize every aspect of consumer/customer experience and to drive the company's commercial performance. Avail (part of Realtor.com) is a fast-growing platform transforming how independent landlords and tenants manage the rental experience. Built with the spirit of a startup and backed by the scale and stability of a leading digital real estate company, Avail provides a complete suite of tools, resources, and education to help landlords manage their properties with confidence and professionalism. As part of the Avail team, you'll have the opportunity to make a meaningful impact - shaping the future of this rapidly expanding brand and helping to reimagine the rental industry for millions across the U.S. Role Description We are seeking a Senior Data Scientist with a strong background in machine learning, experimentation, strategic analytics, and cross-functional stakeholder support to help shape the future of our Data Science program at Avail. As a trusted partner to the Avail leadership team, you will be the vital link between complex data and pivotal business moves, striving to enable and empower data-driven decision making across the business. In this role, you will analyze large and complex data sets, conduct robust analyses, generate actionable insights, and deliver clear recommendations that inform critical decisions across strategy, product, marketing, and operations. The ideal candidate is a detail-oriented data science expert, a self-starter comfortable with ambiguity, and a team player who excels in cross-functional collaborations, with the ability to work in a fast-paced environment and driven by a desire to make things better. What you'll do: Partner closely with Avail business stakeholders to understand/clarify needs and requirements, and translate them into data science problems. If the required data is not available, work with the team to identify the right data sources, and build analytical data layers in collaboration with the data engineering partner. Independently conduct end-to-end data science work from data collection, ETL, model development/analysis, to the delivery of insights and recommendations. Serve as Avail's Data Science expert and own experimental design and advanced statistical analysis best practices; provide consultation and collaborate closely with colleagues conducting research/experiments in product, marketing and beyond. Document methodologies, assumptions, and recommendations clearly for both technical and non-technical audiences. Build and grow adoption of self-service solutions that empower stakeholders to access data and insights, and hence accelerate data-driven decision making. Work with Avail leadership team on strategic initiatives and planning, providing analytical support on financial modeling, forecast, opportunity sizing, and so on. Foster a culture of accountability and transparency by ensuring reproducibility, traceability, and clear code documentation in all analytics work. How We Work: We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our Austin headquarters where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. How We Reward You: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: Inclusive and Competitive medical, Rx, dental, and vision coverage Family forming benefits 13 Paid Holidays Flexible Time Off 8 hours of paid Volunteer Time off Immediate eligibility into Company 401(k) plan with 3.5% company match Tuition Reimbursement program for degreed and non-degreed programs 1:1 personalized Financial Planning Sessions Student Debt Retirement Savings Match program Free snacks and refreshments in each office location What you'll bring: Bachelor's degree in a quantitative field ( e.g. , Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science). 6+ years of relevant experience as a Data Scientist, Data Analyst, Product Analyst, or similar role, using SQL and Python (pandas, numpy, scipy). SQL & Python proficiency is a must, with 6+ years of experience. Strong capability to work with complex data sets and perform EDA, descriptive, diagnostic, and predictive analyses. Sound understanding of statistical methods for experimentation (randomization, t-tests, confidence intervals, etc.). Experience with cloud-based data environments such as Snowflake and AWS. Proven experience using data science to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities. Excellent written and verbal communication skills, with experience presenting to diverse technical and business audiences at different levels. Experience in collaborating with cross-functional partners. Self-motivated and self-managing, with strong time management, documentation, and organizational skills. Preferred Qualifications Master's or Ph.D. degree in a quantitative field ( e.g. , Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science). Experience creating business intelligence reports using Tableau, Mixpanel, Power BI, or similar tools. Familiarity with revenue or monetization analytics. Experience in the tech sector, especially marketplace or property tech. Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com , you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

Join our winning team, recently honored as on Forbes' list of America's Best Startup Employers for 2025! The Helper Bees (THB) was created to fill an obvious need in an underserved community. Inspired by love and brought to reality through passion and determination, The Helper Bees was founded to empower older adult citizens and their families in their search for quality, affordable in-home care providers. We do this by providing older adults the ability to easily review, choose, and access affordable quality in-home helpers. The Helper Bees mission is to be the best in the world at finding & fulfilling the needs of older adults. At THB, we define our company culture through our Core Values: * Quickly iterate through solutions - We move at a fast pace which requires quick iterations to find a path to a repeatable solution * Seek ways to create immediate impact - Be thoughtful and proactive in how you make an impact on your team. Actively look for ways to make a fast, positive impact. * Bee the teammate you want to work with - We work as a team, help each other and encourage each other * Ask questions, answer questions - You can't iterate through solutions if you don't ask the right questions which is why there is an expectation that questions should be asked. When you know the answer, being a good teammate means chiming in to get others up to speed. * Take the time to celebrate wins - It's so easy for a team that is heads down to forget about all the great things they've accomplished. That's why we make it a priority to remind ourselves to create space to celebrate wins, big or small. Job Summary: The Senior Data Scientist is responsible for leading advanced data analytics initiatives to drive strategic business decisions. This role involves designing and implementing complex data solutions, mentoring junior team members, and serving as a technical expert in data analysis and visualization. The Senior Data Analyst transforms raw data into actionable insights while collaborating directly with senior stakeholders, including managers and clients, to influence organizational strategy and optimize business performance. Supervisory Responsibilities: * No direct reports, however must be able to mentor and guide junior data analysts and business analysts * Oversee data quality and analysis standards across projects Duties/Responsibilities: * Lead complex data analysis projects from conception to delivery, working directly with senior management and external clients to define analytical requirements and strategic objectives. * Design and develop advanced SQL queries, data models, and automated reporting solutions to support enterprise-level decision-making. * Create sophisticated data visualizations and interactive dashboards using Power BI, Tableau, and other BI tools to communicate insights to executive stakeholders. * Architect and implement Python-based data analysis workflows, including statistical modeling, predictive analytics, and machine learning applications. * Evaluate and optimize existing data infrastructure, identifying opportunities for process automation and performance improvements. * Conduct advanced statistical analysis and A/B testing to measure business impact and validate strategic initiatives. * Serve as the primary technical liaison between business units, C-level executives, and external clients, translating complex data findings into actionable business recommendations. * Develop comprehensive technical documentation, including data dictionaries, analysis methodologies, and best practices guidelines. * Lead strategic planning for data initiatives, ensuring projects align with business objectives and deliver measurable ROI. * Drive change management efforts for data-driven processes, including training stakeholders on new analytics tools and methodologies. * Perform competitive intelligence analysis and market trend evaluation to inform executive-level strategic decisions. * Mentor junior staff and establish data analysis standards and protocols across the organization. * Other duties as assigned/necessary Performance Metrics: * Strategic Impact Delivery: Percentage of data initiatives that result in measurable business improvements or cost savings (e.g., 85% or higher). * Stakeholder Satisfaction: Client and management satisfaction scores for data deliverables and insights quality (e.g., 4.5/5.0 or higher). * Project Leadership Success: Percentage of led projects completed on time, within budget, and meeting defined success criteria (e.g., 90% or higher). Requirements Accuracy and Completeness: Percentage of projects with no significant rework or missed requirements after stakeholder approval during the requirements phase (e.g., 95% or higher). Requirements Required Skills/Abilities: * Ability to thrive in a fast-paced environment while managing multiple high-priority initiatives * Expert-level analytical and problem-solving skills with ability to handle ambiguous business challenges * Advanced proficiency in SQL for complex query development and database optimization * Expert-level Python programming skills including pandas, numpy, scikit-learn, and data visualization libraries * Advanced expertise in BI tools (Power BI, Tableau) including dashboard development and data modeling * Exceptional verbal and written communication skills with ability to present to C-level executives * Proven ability to manage multiple complex projects and meet tight deadlines * Deep knowledge of enterprise business systems (CRM, ERP, data warehouses) * Experience with cloud platforms (AWS, Azure, GCP) and big data technologies * Strong leadership and mentoring capabilities * Passion for driving business impact through data-driven insights * Must be 18 years of age or older Education and Experience: * 5+ years of experience as a Data Analyst, Senior Business Analyst, or similar analytical role * Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field * PhD or Master's degree in relevant field preferred * Experience in tech platform or SaaS industry strongly preferred * Proven track record of delivering high-impact data solutions for enterprise clients Physical Requirements: * Ability to remain at your designated workstation for the duration of the workday * Constantly operates a computer and other office productivity machinery, such as a phone and Voice over Internet Protocol (VoIP). * The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. * The ability to observe details at close range (typically on a computer screen) * This position offers the flexibility of remote work at approved locations within the United States. Candidates must have a reliable internet connection and a designated work environment conducive to professional phone calls and sensitive data. Enjoy the convenience and comfort of working remotely while contributing to our team's success. The Helper Bees is committed to building a workplace where diversity, equity, and inclusion are valued and prioritized. We are an equal opportunity employer that welcomes all qualified applicants without discrimination based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any non-merit based or legally protected grounds. The Helper Bees provides reasonable accommodations to qualified individuals with disabilities during the job application and interview process. To request accommodation, please let your recruiter know. As part of our standard hiring process, selected candidates may be required to undergo a background check and/or drug screen. The Helper Bees adheres to applicable federal, state, and local laws regarding these screenings, and the results will be considered in accordance with applicable regulations. The Helper Bees was recently made aware of a fraudulent entity posing as our organization and requesting personal information. Please be aware of and protect yourself from scams. Visit the careers page of our website to view all current job openings.

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. Realtor.com is a two-sided platform helping match the consumers on our site and apps to our paying customers. The Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize every aspect of consumer/customer experience and to drive the company's commercial performance. Avail (part of Realtor.com) is a fast-growing platform transforming how independent landlords and tenants manage the rental experience. Built with the spirit of a startup and backed by the scale and stability of a leading digital real estate company, Avail provides a complete suite of tools, resources, and education to help landlords manage their properties with confidence and professionalism. As part of the Avail team, you'll have the opportunity to make a meaningful impact - shaping the future of this rapidly expanding brand and helping to reimagine the rental industry for millions across the U.S. Role Description We are seeking a Senior Data Scientist with a strong background in machine learning, experimentation, strategic analytics, and cross-functional stakeholder support to help shape the future of our Data Science program at Avail. As a trusted partner to the Avail leadership team, you will be the vital link between complex data and pivotal business moves, striving to enable and empower data-driven decision making across the business. In this role, you will analyze large and complex data sets, conduct robust analyses, generate actionable insights, and deliver clear recommendations that inform critical decisions across strategy, product, marketing, and operations. The ideal candidate is a detail-oriented data science expert, a self-starter comfortable with ambiguity, and a team player who excels in cross-functional collaborations, with the ability to work in a fast-paced environment and driven by a desire to make things better. What you'll do: * Partner closely with Avail business stakeholders to understand/clarify needs and requirements, and translate them into data science problems. * If the required data is not available, work with the team to identify the right data sources, and build analytical data layers in collaboration with the data engineering partner. * Independently conduct end-to-end data science work from data collection, ETL, model development/analysis, to the delivery of insights and recommendations. * Serve as Avail's Data Science expert and own experimental design and advanced statistical analysis best practices; provide consultation and collaborate closely with colleagues conducting research/experiments in product, marketing and beyond. * Document methodologies, assumptions, and recommendations clearly for both technical and non-technical audiences. * Build and grow adoption of self-service solutions that empower stakeholders to access data and insights, and hence accelerate data-driven decision making. * Work with Avail leadership team on strategic initiatives and planning, providing analytical support on financial modeling, forecast, opportunity sizing, and so on. * Foster a culture of accountability and transparency by ensuring reproducibility, traceability, and clear code documentation in all analytics work. How We Work: We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our Austin headquarters where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. How We Reward You: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: * Inclusive and Competitive medical, Rx, dental, and vision coverage * Family forming benefits * 13 Paid Holidays * Flexible Time Off * 8 hours of paid Volunteer Time off * Immediate eligibility into Company 401(k) plan with 3.5% company match * Tuition Reimbursement program for degreed and non-degreed programs * 1:1 personalized Financial Planning Sessions * Student Debt Retirement Savings Match program * Free snacks and refreshments in each office location What you'll bring: * Bachelor's degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science). * 6+ years of relevant experience as a Data Scientist, Data Analyst, Product Analyst, or similar role, using SQL and Python (pandas, numpy, scipy). * SQL & Python proficiency is a must, with 6+ years of experience. * Strong capability to work with complex data sets and perform EDA, descriptive, diagnostic, and predictive analyses. * Sound understanding of statistical methods for experimentation (randomization, t-tests, confidence intervals, etc.). * Experience with cloud-based data environments such as Snowflake and AWS. * Proven experience using data science to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities. * Excellent written and verbal communication skills, with experience presenting to diverse technical and business audiences at different levels. * Experience in collaborating with cross-functional partners. * Self-motivated and self-managing, with strong time management, documentation, and organizational skills. Preferred Qualifications * Master's or Ph.D. degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science). * Experience creating business intelligence reports using Tableau, Mixpanel, Power BI, or similar tools. * Familiarity with revenue or monetization analytics. * Experience in the tech sector, especially marketplace or property tech. Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

DPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects. Responsibilities * Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. * Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. * Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. * Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. * Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. * Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. * Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. * Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. * Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. * Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. * Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. * Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 7+ years of experience in data science roles within AEC, product or technology organizations. * At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. * Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). * Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). * Solid understanding of statistical methods, predictive modeling, and optimization techniques. * Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. * Proven experience designing and interpreting experiments and making statistically sound recommendations. * Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. * Ability to build relationships with diverse stakeholders and cultivate strong partnerships. * Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. * Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. * Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills * Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. * Hands-on experience with Generative AI tools and libraries. * Background in experimentation infrastructure or human-AI interaction systems. * Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Empowering players to create is an exciting future for the gaming industry. At Electronic Arts we have many examples of players creating content, whether it be a skateboard park in Skate or fantastical mansions in the Sims 4. The future definitely has our players being more empowered to create with their imagination being the only limit. We are looking for a Data Scientist to help shape the future of content creation and gameplay with AI. If you have the right expertise and are interested we want to hear from you! As a Senior AI Data Scientist you will: * Build, fine-tune and implement AI and machine learning models to solve challenging problems * Ensure AI and machine learning production pipelines are scalable, repeatable and cloud agnostic * Apply current and emerging techniques in deep learning, natural language processing and other machine learning areas * Collect, clean, manage, analyze and visualize large sets of data using multiple data platforms, tools and technique * Work in partnership with game teams to integrate AI solutions into products and services. * Optimize and fine-tune AI models for performance and scalability. Analyze and interpret data to extract meaningful insights and improve AI models. * Document and present findings and solutions to stakeholders. Desired qualifications and experience: * A minimum of 3+ years of experience in data science * PhD or MSc in statistics, mathematics, computer science, or related field * Strong expertise in deep learning, fluent in Python and SQL * Expertise in automating machine learning models and building end to end products * Experience with devops tools and principles (Git, CI/CD, Docker) * Effective within Cloud environments (GCP, AWS) * Understanding of containerization and orchestration technologies (Docker, Kubernetes, etc.) * C++ and game development experience is a plus. Pay Transparency - North America COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES * British Columbia (depending on location e.g. Vancouver vs. Victoria) *$138,700 - $199,900 CAD * California (depending on location e.g. Los Angeles vs. San Francisco) *$160,600 - $249,300 USD * Washington (depending on location e.g. Seattle vs. Spokane) *$149,200 - $205,500 USD In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. In British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. Pay is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. For British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth. We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

We are focused on imparting effective business staffing services through high level cost effective solutions. We have a strong foundation built on legacy and emerging technologies, including excellent track record of on-time delivery. We are leaders in providing additional custom IT Services with a proficient approach towards development of emerging mobile-based applications and web based application development. We are emerging as one of the largest private talent sourcing and management firms in the US Job Description Sr. DB2 Programmer / Developer Location: - Austin, TX 78774 Duration: - 12+ Months Must Have: 8+ Years Experience creating, maintaining, and enhancing information systems written in Natural for DB2 8+ Years Experience with z/OS JCL and TSO ISPF 8+ Years Experience working with applications including the Integrated Tax System (ITS), Audit Systems, and Statewide Financial Systems. 6+ Years Experience with the development of various DB2 reporting mechanisms such as IBM's Query Management Facility (QMF), Squirrel, Query Man, or Teradata Data SQL Assistant 6+ Years Experience creating complex SQL queries, reports, and data extracts from DB2 z/OS DBMS 4+ Years Extensive experience analyzing data from various data models, databases, and tables 3+ Years Experience with software development processes, prepare detailed documentation and generate work estimates in an Agile, RAD and other SDLC environments 3+ Years Extensive experience with highly complex security application requirements 3+ Years Experience in unit and system integration testing of developed application 3+ Years Experience writing conversion programs to transform extremely large complex data structures into other formats. 3+ Years Experience accepting assignments from a formal process such as an ITIL ticketing system Qualifications Preferences: 4+ Years Experience creating, maintaining, and enhancing information systems written in COBOL 2+ Years Experience working with enterprise software solutions 2+ Years Public sector experience (Federal, State or Local Government) 2+ Years Experience with Web-enabling mainframe Natural programs 2+ Years Proficient with the Microsoft Office products, including Microsoft Project, Word, Visio, Excel and PowerPoint Additional Information I would love to talk to you if you think this position suits your interest. If you are looking for rewarding employment and a company that puts its employees first, we would like to work with you. We also offer group health insurance. NOTE: “Candidates that are offered a position are required to pass pre-employment drug and background screening”

Job Description Abacus is looking to hire a Senior Data Scientist in the Austin, TX area. This is a high impact role where the Senior Data Scientist will act as the expert for the entire data science workflow. The person in this role will manage everything from data collection and exploration to model development, deployment, and long-term monitoring. They will work closely with business leaders, engineers, and industry experts to create predictive models, algorithms, and probability engines that drive real results. Beyond deployment, the candidate will manage the post-deployment lifecycle, validate real-world model performance and translate insights into actionable, compelling recommendations. They will conduct Root Cause & Corrective Action (RCCA) analysis to diagnose model shortcomings and design forward-looking roadmaps to continually improve system performance. This role requires both strategic thinking and hands-on technical execution to ensure that AI/ML solutions drive measurable business impact. Ideal Candidate The ideal candidate is malleable, experimental, and unafraid to innovate. They proactively explore new ideas, demonstrate initiative, and bring energy to solving complex problems using cutting-edge AI/ML techniques. They understand how to balance business needs with data science best practices and can design thoughtful workflows that support both. The ideal candidate is a continuous learner with a strong appetite for new technologies and a deeply collaborative mindset. They excel at communicating with cross-functional teams and executive stakeholders and thrive in a fast-paced environment with shifting priorities. Above all, they bring clarity to ambiguity and help shape the direction of high-value AI initiatives. Key Responsibilities Solve business and customer challenges using advanced AI/ML techniques. Build prototypes and scalable AI/ML solutions to be integrated into production software products. Collaborate with software engineers, business stakeholders, and product owners in an Agile environment. Take full ownership of model outcomes and drive continuous improvement across the model lifecycle. Lead end-to-end application and feature development with a production-ready mindset. Review code, provide constructive peer feedback, and uphold high engineering standards. Guide and mentor a team of data scientists on technical, methodological, and project-related matters. Engage professionally with business partners, external partners, and key internal contacts. Translate complex quantitative findings into actionable insights for both technical and non-technical audiences. Break down ambiguous business questions into clear, structured, data-driven problem statements. Stay informed on emerging ML/AI research and leverage internal learning resources to innovate. Collaborate with other data science and machine learning teams to foster a strong data science culture. Maintain clear, thorough, and up to date documentation for models, workflows, and processes to ensure transparency and knowledge sharing Qualifications 5+ years of experience as a Data Scientist working on real-world ML problems. Proficiency in writing clean, modular, object-oriented Python code. Strong SQL skills and advanced data-wrangling capability, with experience working independently on large and messy datasets. Deep understanding of math, statistics, and machine learning techniques including deep learning, NLP, classification, forecasting, and regression. Hands-on experience deploying machine learning models into production environments. Experience translating business questions into data science problem statements and clearly communicating progress to non-technical stakeholders. Proven ability to lead and mentor other data scientists. Strong commercial awareness with an ability to connect analytics to measurable outcomes, trade-offs, and growth opportunities. Hands on experience working with Azure based tools such as Azure Machine Learning, Azure Data Studio, and related cloud services for model development, deployment, and monitoring.

WHAT MAKES US EPIC? At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development. ONLINE INFRASTRUCTURE What We Do We enable Epic's online services teams to build, deploy, and manage services that are used by more than half a billion players around the world. Our mission is to provide world class tools and platforms to improve the experience of our developers and make it easier, faster, and safer to build, operate, and scale their applications. We operate at massive scale as one of the largest cloud computing users in the world. What You'll Do You'll work on one of the largest and most demanding Perforce Version Control deployments in the industry, supporting thousands of users and millions of files at scale. You'll tackle complex programming challenges that come with operating source control at this level, while partnering closely with teams across Epic Games and with external studios and partners around the world. As one of Perforce's largest customers, Epic collaborates directly with the Perforce programming team, giving you a unique opportunity to influence their product roadmap and help shape the future of source control tooling used across the industry. In this role, you will Design and administer large, high performance Perforce Version Control, and other SCM tools at a global scale with thousands of consumers worldwide Perform deep troubleshooting of Perforce Version Control server performance and database contention issues Implement and maintain automation tools, user facing tools, documentation, and workflows to assist with system management Manage and support permissions and identity integrations Assist in disaster recovery and business continuity initiatives to ensure a protected and highly available implementation Devise, test, and deploy integrations between Perforce products and other internal systems Promoting adoption and best practices among the system user community and conducting user-training and help-sessions for new features or implementations What we're looking for Experience deploying and maintaining environments with infrastructure as code approaches and tools (SCM/Git, Packer, Terraform, Ansible, Chef, or Salt, and leveraging CI/CD systems to get work done) Experience with cloud providers like AWS, Azure, GCP (Google Cloud Platform) Understanding of Linux operating systems, OS performance tuning, troubleshooting, patching and patch management best practices Expertise writing tools, scripting and automation in Bash/UNIX shell, Python Excellent communicator with the ability to convey complex ideas clearly and collaborate effectively across teams Strong learning skills, able to quickly absorb new concepts, tools, and processes in a fast-paced environment Experience with Perforce Version Control, Git and their related server and client components in a large scale, and understanding of version control workflows is a big plus Experience with other version control systems such as Git, and related code collaboration tools such as GitHub, and GitLab would be a plus Highly organized, with the ability to manage priorities, track details, and deliver work reliably on time would be a plus EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Pay Transparency Information The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren't limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic's generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs). British Columbia Base Pay Range$175,353-$257,184 CAD ABOUT US Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here. Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************