Trabajos data scientist en Austin, TexasCrear alertas

What You’ll Do** - Analyze large, complex datasets to uncover patterns, develop insights, and inform modeling direction - Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data - Design and implement robust validation stra

Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks.You'll identify patterns, root causes, and systemic issues in our evaluation framew

About the Role At Mercor, we are partnering with top AI labs in applying AI to complex scientific challenges to build a state-of-the-art benchmark to evaluate the capabilities of the lab’s AI models in the field of bioinformatics. Our goal is to test a model's ability to autonomously design and execute complex bioinformatics workflows, starting from raw sequencing data and a natural language prompt. This project requires a sophisticated blend of tool proficiency, deep biological domain knowledge, and rigorous scientific reasoning. We are seeking talented researchers to help us create these benchmark tasks using real-world, published scientific data. A brief 15-minute interview precedes candidate selection, with decisions typically made within four days following assessment completion. Currently, applicants must be based in the U.S., UK, Canada, Australia or New Zealand. Why You’re a Great Fit You're a strong candidate if you: - Must be a current graduate student (M.S. or Ph.D.) or hold a higher degree (e.g., Postdoctoral Fellow, Research Scientist) in Bioinformatics, Computational Biology, Genomics, or a related quantitative field. - Experience using bioinformatics command line tools - Demonstrate exceptional attention to detail and rigorous problem-solving skills. - Excel in both written and verbal communication. Role Highlights - Flexible workload: 10–20 hours weekly, with the potential to scale to 40 hours. - Fully remote and asynchronous scheduling. - Initial commitment of 1–2 months, with opportunities for extension. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect About Mercor Mercor is a $2B company that connects elite talent with leading AI research labs and is headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today to leverage your skills in advancing revolutionary AI technologies!

We are looking for a Tools Developer, Data Scientist to support our client's Systems Product team. We are seeking a skilled Tools Developer/Data Scientist/Data Analyst to develop innovative solutions that enable teams within the Systems Product Team (SPT) organization to successfully execute product

Data Scientist Job Duties: Formulates and leads guided, multifaceted analytic studies against large volumes of data.

Data Scientist Job Duties: Formulates and leads guided, multifaceted analytic studies against large volumes of data.

Software Developer and Data Analyst ( Engineering Scientist).This is a Research and Development position within the Environmental Sciences Lab (ESL).The individual will contribute to research and development tasks within ESL.Develop & implement production grade software and analysis tools in a produ

Job DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. Each member of the Data team plays an integral part of what we are building at Varo. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!What you'll be doing • Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance, • Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes, • Assess the effectiveness and accuracy of new data sources and data gathering techniques, • Understand and apply proper risk framework to your analysis and modeling., • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions, • Collaborate cross functionally to implement models and monitor outcomesYou'll bring the following required skills and experiences, • 7+ years of experience in Analytics, Data Science or Data Engineering as an individual contributor, • An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc, • Credit and / or Fraud Risk modeling experience in consumer finance is nice to have, • Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions, • Experienced in using Python for analysis and modeling, • Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks, • Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.), • Excellent cross-functional communication skills

Job Description Company Background: Ownwell has developed a leading end-to-end property tax solution that is purpose-built for SFR and CRE investors, operators, and property managers. We have brought Data Science and Machine Learning to a space that is ripe for disruption. We combine a best-in-class technology stack with local market expertise to reduce expenses, increase Net Operating Income, and drive operational efficiency for both our institutional clients and individual homeowners. Ownwell's solution ensures you have the necessary tools, resources, and information to confidently manage your property taxes. Ownwell has been recognized both in Austin and Nationally, as a top workplace by the likes of Fortune, BuiltIn, Inc, and Best Places To Work. We are well-funded and venture-backed by some of the best investors in the world such as First Round Capital and Bessemer Venture Partners. Our customer base has grown by more than 300% year-over-year with exceptional feedback demonstrating clear product market fit. We are looking for driven and passionate team members who thrive in a collaborative, positive culture where we all win together. If this sounds like the place for you, come help us change the way everyday homeowners manage their real estate across the country. Our Culture People are our superpower! Centered in everything we do is a true sense of team. We listen and we learn from each other. We are on this rocketship together and embrace a fast-paced, truly collaborative environment. We are here to win as a team and as a company. We've brought together General Appraisers, Certified Public Accountants, Property Tax Consultants, Data Scientists, PhDs, best-in-class customer support representatives, and more to deliver top results for our customers. Our core values are our guiding principles in everything we do • Customer Obsession, • Take Ownership, • Do The Right Thing, • Go Far Together, • Accelerate Innovation Meet The Engineering Team Ownwell's engineering team is the backbone of our technology, building and scaling the systems that power our mission. We're a tight-knit group of builders— engineers, scientists, and problem solvers—who collaborate closely with product, marketing, operations and sales teams to deliver tools that make a real impact for property owners. We value curiosity, ownership, and a willingness to tackle tough challenges head-on. If you enjoy working in a fast-paced environment where your ideas shape the future of the company, you'll fit right in. As a Data Scientist at Ownwell, you'll play a pivotal role in leveraging data to refine and enhance our proprietary technology. You will build predictive models, conduct analyses, and develop machine learning algorithms to uncover insights that drive strategic business decisions. Your work will directly support product innovation, marketing effectiveness, operational efficiency, and customer satisfaction. Responsibilities: • Develop and deploy predictive models and machine learning solutions to optimize business processes and enable new products and use-cases., • Analyze large, complex datasets to generate actionable insights, inform strategy, and improve operational efficiency., • Collaborate closely with product teams, engineers, and business stakeholders to integrate data science solutions into customer-facing and internal systems., • Design and execute experiments to validate and enhance product features and business initiatives., • Continuously improve data quality, model performance, and data governance practices., • Maintain and optimize data pipelines and analytical processes, ensuring scalability and reliability., • 2+ years of professional experience in data science or analytics roles., • Proficiency in Python for data analysis and machine learning. We do not use R and are exclusively looking for people who are proficient in Python., • Familiarity with SQL, including querying databases, data manipulation, and relational database concepts., • Experience developing and deploying machine learning models in production environments., • Understanding of statistical methods and experiment design., • Familiarity with cloud services, such as AWS, for data processing and model deployment., • Entrepreneurial culture. Own your career; we are here to support you in the journey., • Access to First Round Network to build your community outside of Ownwell., • Flexible PTO. We believe in giving you the flexibility to own your time off. In addition to flexible time off, you will get 11 company holidays. We offer the last week of the year to recharge and reset., • Competitive health benefits. We care for you and your family's health, as reflected in our benefits coverage., • Learning support through a $1,000 stipend per year to enable investing in your individual learning needs., • Supporting parental journey. We offer up to 16 weeks of fully paid parental and bonding leave to support your journey as a new parent.

Job Description We’re looking for an ambitious candidate with a true interest in becoming a digital marketing expert and a drive for career growth. Applicants should have some experience working with paid media campaigns in Google, Facebook or Amazon’s advertising platform. In this role, you’ll work with our expert team as you learn industry best practices and master the technology tools and analytical skills that have helped us deliver superior digital marketing services to our clients. At Optimal, we are actively looking to scale standout candidates – those who are ready for significant opportunities and hungry to take on meaningful responsibilities that drive real business results for our clients. New employees that grow the fastest at our company are strategic problem solvers who are proactively looking to improve with innovative ideas but are also relentless at following through. As a Paid Media Specialist for Optimal, you are responsible for the overall execution of paid media campaigns for your designated clients. Who Are We? Optimal is a performance marketing agency on a mission, bringing together the best data, technology, and people to achieve our clients’ marketing goals. Brand, campaign, or cause: we maximize performance at every moment. We are not only digital media strategists – we’re award-winning industry leaders, with deep knowledge spanning all things digital: from advertising and paid media, to marketing and communications, to audience data and analytics, we deliver for our clients. Everyone at Optimal has the opportunity to learn, grow, and progress. Through our proprietary training programs, we provide our team members with the personal and professional development they need to achieve advancement at any stage in their careers. We’re always looking for exceptional people to join our team. If this sounds like you, please apply! Key Qualities: • Analytical – Will love geeking out with us over pivot tables and diving into spreadsheets of data to understand what drives performance., • Creative – Appreciates that digital advertising campaigns are equal parts data analytics and good creative design. Can tap into both their right and left brain to come up with creative solutions., • Scientifically-Minded – Fancies themselves a bit of a mad scientist. Enjoys testing new ideas, analyzing results, and experimenting with changes to find success., • Growth Mentality – Embraces intellectual challenges and seizes opportunities to improve skills and seek out new knowledge., • Passionate – Brings it. Hungry, ambitious, motivated, and competitive, with a strong work ethic., • Resourceful – Will Google literally anything. A true self-starter who enjoys learning new skills and researching new ideas on their own., • Campaign Creation – Create and build campaigns from the ground up, including account set-up, campaign planning/organization, and ad copywriting. Perform competitive analysis, research keywords, and analyze clients’ demographic data. Analyze and evaluate findings and make decisions on what campaign types and structures will be most effective to meet client goals. Use competitor keywords and competitor ads to decide what keywords, ad copy and ad creative to test within the campaigns. Create and build out campaigns and launch them in the digital media channels., • Reporting & Analysis – Master the art of performance analysis and client reporting through the daily use of tools such as Google Analytics, Google Ads, Facebook Analytics, Power BI, and more. Regularly analyze possible courses of action and make decisions after the various possibilities have been considered., • Campaign Management & Optimization – Manage campaigns to ensure that they continually improve over time. Regularly test, evaluate, and optimize bids, keywords, ad copy, ad creative, and landing pages to improve campaign performance., • Campaign Optimization - Manage client advertising budgets with media spends of up to seven figures, conduct performance analysis, and proactively adjust campaigns to ensure client deliverables are met and, when possible, exceeded., • 4-year Bachelor’s degree in business, marketing, advertising, economics, finance, analytics, or a related field. Relevant school, internship, or work experience may be considered in lieu of a degree., • Strong knowledge of Google Ads and/or Facebook Ads through coursework, internships, or other experience., • Proficiency with Microsoft Office Suite with advanced knowledge of Excel and PowerPoint., • Strong mathematical and analytical skills., • Annual base salary range of $48,000 - $56,000 depending upon factors including, but not limited to, experience, skill level, education, and location., • Open leave (paid time off), • Paid Leave for new parents, • Health insurance (including dental and vision), • Flex Spending Plan, • Employee Assistance Program, • 401K with company matching, • Student Loan Repayment Program, • Professional development opportunities, • Rewards and recognition programs This role is based out of our Austin office. Our team works on a hybrid basis, working three days a week in the office and two days from home. Work hours are consistently 9:00 A.M. to 5:00 P.M., Monday - Friday, with the expectation that evening and weekend work will be required as necessary. Please visit our Notice to Applicants and Employees to learn about our information practices in the job application and employment context. Powered by JazzHR wlmWzzlWaK

Job Description SEON is the command center for fraud prevention and AML compliance, helping thousands of companies worldwide stop fraud, reduce risk and protect revenue. Powered by 900+ real-time, first-party data signals, SEON enriches customer profiles, flags suspicious behavior and streamlines compliance workflows - all from one place. SEON provides richer data, more flexible and transparent analysis, and faster time to value than any other provider on the market. We’ve helped companies reduce fraud by 95% and achieve 32x ROI, and we’re growing fast, thanks to our partnerships with some of the world’s most ambitious digital brands like Revolut, Wise, and Bilt. SEON is on a mission to create a Fraud Free World. We’re looking for a Data Services Scientist to join our Revenue and Success Services team. In this role, you’ll work across the business to transform data into insights that help us (and our customers) make smarter decisions. Whether it’s building reports for internal teams or uncovering fraud trends for customers, your work will have a direct impact on SEON’s growth and success This role offers flexibility and is based in our Austin office with a hybrid schedule of being in the office approximately three days per week. What You'll Do * Master score distribution analysis and deep-dive into transaction data, logs, and product databases to uncover meaningful behavioral patterns and surface strategic, actionable insights. * Build and maintain Tableau dashboards that visualize CX trends, volume variances, and engagement health in real time. * Develop proactive alerting systems that detect anomalies in customer behavior and trigger early mitigation actions. * Collaborate closely with Product, Success, and Revenue teams to align data insights with business impact. * Help define and continuously evolve a customer health score that incorporates usage, sentiment, and behavioral signals. * Partner with data engineers to ensure reliable, clean data pipelines across product analytics tools (ex. Mixpanel, Appcues, etc.), logs, transactional databases, and other key data sources feeding into BI and reporting systems. * Apply machine learning/statistical techniques to predict churn risk, cohort behavior, and customer lifetime value. * Drive experimentation and A/B testing to validate new feature adoption and experience improvements. * Serve as a strategic advisor to internal teams, transforming complex datasets into clear, actionable recommendations. What You Bring * 5+ years in a data science or advanced analytics role, ideally within SaaS, fintech, or customer success-driven organizations. * Expert-level knowledge of Mixpanel, Tableau, and strong experience with Appcues or similar customer engagement tools. * Hands-on experience building proactive alert systems (e.g., anomaly detection, threshold-based alerts). * Proficiency in SQL and Python for data wrangling, modeling, and automation. * Strong business acumen with the ability to connect data signals to business outcomes and customer value. * Solid foundation in statistics, segmentation, and behavioral analytics. * Excellent communication skills to translate data into actionable strategies for non-technical stakeholders. * Experience building or contributing to customer health scores is a major plus. SEON Technologies collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice for further details. SEON is an equal opportunity employer. We strive to embrace what makes each one of us unique; we each have our own story. Whether looking at our current staff or future team members, we believe that everyone has something to contribute, and our employment practices reflect that. We do not make an employment decision based upon race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Please let your recruiter know if you need reasonable adjustments to our recruitment process.

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description The Lead Data Scientist, you will play a crucial role in building our data capabilities, collecting, analyzing, driving insights, and delivering machine learning and AI solutions that enhance our offerings. Your will play a pivotal role in building the organization’s “data muscle”, empowering teams to leverage data for smarter decisions, operational excellence and innovation. This is a unique opportunity to work in a fast-paced and startup environment where your contributions will have a direct impact. This role represents an exciting opportunity to make key contributions to Visa's strategic vision as a world-leading data-driven company. The role requires a seasoned professional with deep expertise in data strategy, analytics, governance paired with a hands-on and scrappy mindset to deliver impactful results. The successful candidate must have strong academic track record and demonstrate excellent software engineering skills. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills. To be successful in this position, you must be highly effective working both independently and in cross-functional capacities. Essential Functions * Formulate business problems as technical data problems while ensuring key business drivers are collected in collaboration product stakeholders. * Work with product and engineering to ensure effective solutions. Deliver prototypes and production code based on need. * Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems. * Build needed data transformations on structured and un-structured data. * Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, analytics, and statistical techniques. * Devise and implement methods for efficiently monitoring model efficiency and performance in production. * Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production. * Contribute to development and adoption of shared predictive analytics infrastructure. * Data mining, processing and analyzing large datasets to generate insightful reports. * Develop data modeling processes and algorithms to derive meaningful actionable insights from structured and unstructured big data * Utilize statistical analysis, data visualization, and machine learning techniques to extract meaningful insights from datasets. Identify and interpret patterns, trends, and correlations within payment data. * Generate comprehensive dashboards and reports for organizational leadership to use in a business setting. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications -10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD Preferred Qualifications -12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD -With a track record of successfully delivering complex software systems or services as Senior Data Scientist -Relevant coursework in modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks. -Ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Java, C++, or C#. -Experience with one or more common statistical tools such SAS, R, KNIME, MATLAB. -Deep learning experience with TensorFlow is a plus. -Experience with Natural Language Processing is a plus. -Experience working with large datasets using tools like Hadoop, Spark, MapReduce, Pig, or Hive is a must. -Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus. -Proficiency working with agile methodologies, ceremonies. -Exceptional collaboration and partnership skills with the ability to work in a global environment, drive consensus in cross-functional teams and comfortable operating in a matrix setup -Demonstrated communications and interpersonal skills to interface well with diverse customer audience executives, product, and technology stakeholders. -Solid business acumen, Strong customer centric mindset and Strategic thinker who can balance big picture strategy with tactical needs of day-day execution. -Experience demonstrating strong leadership, self-motivation and accountability -Fast learner on both technical and business side. -Proactive, demonstrate sense of urgency and can do attitude -Detail and results oriented, able to analyze data to justify product decisions and apply key learnings. -Ability to stay organized while managing competing priorities. -Shown leadership capabilities including significant thought leadership, effective decision making, and ability to work towards results. -Excellent social skills with a strong emphasis on emotional intelligence to establish relationships with internal Visa teams and clients -Excellent written and oral communication skills with a flair for getting people excited. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 175,100.00 to 253,950.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job Description As the Assistant Laboratory Director and one of our Laboratory Directors, you have clinical oversight of Natera's laboratory testing. You ensure that testing is properly performed, and applicable regulatory standards are met. You are responsible for ensuring that the laboratory implements testing while consistently providing accurate and reliable patient test results. PRIMARY RESPONSIBILITIES: • Review, approve, and sign-out reports for a variety of clinical molecular/cytogenetic and/or oncologic results, including NIPT, carrier screening, PGD/PGS, products of conception and oncology testing on platforms including SNP array analysis, NGS, and other methodologies., • Oversee the review of genetic and CNV variant data: interpret NGS and microarray results in the context of medical literature, online variant databases and other references along with relevant patient demographic data., • Provide clinical and technical support for genetic counselors and other laboratory personnel., • Set standards for laboratory testing and acceptable levels of analytic performance and ensure these are maintained., • Analyze lab data, contribute to or write publications for high-quality scientific journals., • May serve as Technical Supervisor. The Technical Supervisor is responsible for ensuring: appropriate test method selection; adequate method verification to determine the accuracy and precision of the test; enrollment of the laboratory in a CMS-approved proficiency testing (PT) program for the test performed; PT samples are tested in accordance with the CLIA requirements; PT results are returned within the time frames established by the PT program; PT reports are reviewed by the appropriate staff; corrective action plans are followed when PT results are found to be unacceptable or unsatisfactory; quality assessment and quality control programs are established and maintained; acceptable analytical test performance is established and maintained for each test system; remedial actions are taken and documented when significant deviations from the laboratory's established performance characteristics are identified, and patient test results are reported only when the system is functioning properly; personnel have been appropriately trained and demonstrate competency prior to testing patient specimens; policies and procedures are established for monitoring personnel competency in all phases (preanalytic, analytic, and postanalytic) of testing to assure the ongoing competency of all individuals who perform testing; remedial training or continuing education needs are identified, and training provided; and an approved procedure manual is available to all personnel., • Manage a team: review and approve assigned work; mentor and develop personnel, including dedicated succession planning and contingency management., • This role works with PHI on a regular basis both in paper and electronic form and has an access to various technologies to access PHI (paper and electronic) in order to perform the job., • Employee must complete training relating to HIPAA/PHI privacy, General Policies and Procedure Compliance training and security training as soon as possible but not later than the first 30 days of hire., • MD/DO and/or PhD in genetics or related field required., • Current California license/eligibility as a Clinical Genetic Molecular Biologist Scientist or Clinical Cytogeneticist Scientist required., • ABMGG board-certified/eligible in Clinical Cytogenetics and/or Molecular Genetics, ABP board-certified/eligible in Molecular Genetic Pathology or equivalent doctoral-level board preferred and/or HCLD (ABB) Certification considered as well., • Current Certificate of Qualification in Genetic Testing from the NYS CLEP preferred., • 2 or more years of experience in a CLIA-certified clinical laboratory setting analyzing, interpreting and reporting clinical genetic/genomic data., • Knowledge of CAP, CLIA, California, and New York state regulations., • Management experience required. KNOWLEDGE, SKILLS, AND ABILITIES: • Excellent written and oral communication skills., • Experience leading a laboratory offering prenatal screening and evaluating, interpreting, and reporting out NGS and microarray data., • Familiarity with next-generation sequencing, and/or knowledge of advanced methods of copy number detection., • Strong background in human and medical genetics, and oncology with a familiarity of online human genomics., • Understanding of statistical measures utilized in genetic testing and screening. #LI – AC2 The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.Austin, TX$129,300—$161,600 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • BBB announcement on job scams, • FBI Cyber Crime resource page

Job DescriptionWhat You'll be a part of Ownwell helps property owners reduce the costs of owning real estate. Our proprietary software automatically identifies property owners that are overpaying on real estate expenses. We then manage the end-to-end process of reducing bills in all sorts of ways from working with independent insurance agents to directly appealing property taxes we go above and beyond to save our customers money. Ownwell is well-funded and venture-backed by some of the best investors in the world. Our customer base has grown by more than 100% year-over-year with exceptional feedback demonstrating clear product market fit. We are looking for driven and passionate team members who thrive in a collaborative, positive culture where we all win together. If this sounds like the place for you, come help us change the way everyday homeowners manage their real estate across the country. Our Culture People are our superpower! Centered in everything we do is a true sense of team. We listen and we learn from each other. We are on this rocketship together and embrace a fast-paced, truly collaborative environment. We are here to win as a team and as a company. We've brought together General Appraisers, Certified Public Accountants, Property Tax Consultants, data scientist PhDs, best-in-class customer support representatives, and more to deliver top results for our customers. Our core values are our guiding principles in everything we do Customer Obsession Take Ownership Do The Right Thing Go Far Together Accelerate Innovation Meet The Growth & Marketing Team Ownwell's growth and marketing team is a fast-moving, high-impact group driving customer acquisition and revenue growth across paid media, organic content, partnerships, and brand. We work cross-functionally with product, data, and operations to experiment, learn, and scale what works—always anchored in performance, storytelling, and customer outcomes. If you thrive in a team that values initiative, creativity, and results, you'll feel right at home. The Role: We're looking for a Digital Advertising Specialist to join our Growth Marketing team and help scale our paid media performance across Google and Microsoft Ads. This role will be responsible for hands-on campaign management, optimization, and creative iteration across multiple campaign types — including Performance Max, Demand Gen, and Audience campaigns — to reach new customers efficiently and effectively. You'll work closely with the Sr. Growth Marketing Manager to experiment, adapt, and drive results in a rapidly evolving ad landscape increasingly powered by AI-driven automation, video, and visual-first creative. Responsibilities: • Manage and optimize Google Ads and Microsoft Ads accounts across Performance Max, Search, Display, Video, and Demand Gen campaign types., • Develop and implement AI-informed bidding strategies, creative testing frameworks, and audience segmentation approaches., • Collaborate with the design and content teams to produce video and image-rich ad creative, ensuring alignment with brand guidelines and performance insights., • Analyze campaign performance, identify growth opportunities, and report actionable insights to the Sr. Growth Marketing Manager., • Stay ahead of evolving AI features, automation tools, and platform changes (e.g., Demand Gen campaigns, AI creative generation, Smart Bidding, etc.)., • Test and scale new creative formats and audience combinations across Google and Microsoft ecosystems., • Partner with analytics and data teams to ensure accurate tracking, attribution, and reporting across all campaigns., • Contribute to broader growth initiatives across marketing channels and help Ownwell stay on the cutting edge of paid media innovation.Requirements:, • 1–3 years of experience managing paid search or paid media campaigns (agency or in-house)., • Proficiency in Google Ads (Search, Display, Video, and Performance Max)., • Familiarity with Microsoft Ads and an understanding of cross-channel strategy., • Experience using AI-powered campaign types, such as Performance Max or Demand Gen, and comfort adapting to automation tools., • Strong analytical skills with experience in Google Analytics, Looker Studio, Tableau, Excel, or similar reporting tools., • A creative mindset with an understanding of how visual content (video, image, UGC) impacts campaign performance., • Excellent communication skills and a proactive, growth-oriented attitude.Preferred Requirements:, • Google Ads or Microsoft Ads certifications., • Experience with creative tools (Canva, Figma, or similar)., • Familiarity with property tech, financial services, or similar consumer-facing industries., • Understanding of conversion tracking setup and pixel management.

Job Description Natera is currently seeking a Senior/Lead Bioinformatics Scientist to join the Bioinformatics team focused on Oncology Product Development. The individual will participate in the design and prototyping of cutting-edge algorithms for analysis of genetic data and the development and validation of ctDNA-based diagnostic tests, interacting closely with colleagues in our molecular biology and biostatistics teams. The ideal candidate will have a strong background in bioinformatics and data science, optimally with experience in NGS analysis of cancer tissue and/or variant calling. PRIMARY RESPONSIBILITIES: • Develop and improve analysis pipelines for diagnostic tests, including detection of cancer-associated variants or methylation patterns and implementation of evidence-based quality control thresholds., • Leverage accurate statistical or probabilistic models to build the next round of algorithms and products., • Move products through the full development process, from research through commercial launch., • Help design and interpret molecular biology experiments., • Contribute to our intellectual property portfolio. Requirements: • Master's degree or Ph.D. in a quantitative discipline (bioinformatics, engineering, applied mathematics, statistics, or similar)., • Experience using Python or R for scientific data analysis and visualization., • Strong foundation in statistical modeling/machine learning, including probability theory and estimation/classification methods., • Experience with analysis of next-generation sequencing data, preferably including algorithm development or optimization., • Proven ability to apply mathematical principles to solve real estimation problems and implement practical solutions., • Experience writing code in a production environment and using version control. Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • BBB announcement on job scams, • FBI Cyber Crime resource page

Job Description COMPANY Our client is a strategic digital solutions provider that partners with Fortune 500 leaders to digitize enterprise operations and enable new business strategies. The company specializes in digital enablement and transformation using industry-leading process mining, data management and automation platforms. They help customers become more process-efficient and improve end-customer experience through the use of RPA, AI & ML powered solutions. The company has been growing at an accelerated pace and is looking to scale its AI service expertise. POSITION SUMMARY Step into a hands-on leadership role where your AI expertise drives real impact. As our AI Technologist, you’ll shape the vision, guide the delivery team, and co-create the next generation of AI systems. Work alongside a recognized hi-tech AI leader, challenge conventional approaches, and bring fresh, outside-in insights to boost accuracy and efficiency at scale. If you thrive at the intersection of innovation and execution, this is your opportunity to lead from both the whiteboard and the keyboard. KEY RESPONSIBILITIES • Strategic Leadership, • Define and execute the AI & Data Science strategy in alignment with organizational objectives., • Serve as a thought leader, evangelizing best practices in applied AI, responsible AI, and data-driven decision-making., • Engage with executives and industry forums to establish the organization as a leader in AI innovation., • Solution Design & Enterprise-Scale Delivery, • Architect and oversee the design of enterprise-grade AI solutions that can scale seamlessly across geographies, business units, and technology ecosystems., • Bridge the gap between business requirements and technical implementation, ensuring measurable business impact., • Provide hands-on expertise in critical situations - personally debugging, tuning, or prototyping solutions when needed., • Build frameworks and reference architectures that accelerate AI adoption at enterprise scale., • Team Leadership & Development, • Mentor and develop data scientists, ML engineers, and solution architects to build high-performing, cross-functional teams., • Promote a culture of experimentation, continuous learning, and customer-centric innovation., • Lead by example - balancing technical rigor with pragmatic delivery., • Customer Engagement & Advocacy, • Partner directly with enterprise customers to understand challenges and translate them into actionable AI solutions., • Serve as an escalation point, leveraging hands-on technical skills to resolve complex customer issues., • Build trust and credibility with clients through strong communication, solution ownership, and thought leadership. REQUIRED QUALIFICATIONS: • 12+ years of professional experience in AI, data science, or advanced analytics., • Career foundation as a data scientist or technical architect, with strong programming, modeling, and system design expertise., • Demonstrated experience in designing, building, and scaling AI/ML solutions for large enterprises., • Proven track record of thought leadership - publishing, speaking, or driving innovation in AI., • Hands-on technical skills to prototype models, debug pipelines, and solve customer challenges directly., • Exceptional communication and stakeholder management skills, with the ability to influence both technical and executive audiences., • Experience managing senior-level teams and collaborating across product, engineering, and business functions., • Only open to US Citizens and Green Card holders

Job Description Electroninks (EI) is quickly expanding and is seeking a full-time Computational Chemist to join our team! We’re building next-gen functional materials and need a scientist who can turn data into formulations against the backdrop of real technical specs and stackups of electronic devices. The ideal candidate is detail-oriented, innovative, can bridge data science and programming with chemistry, and thrives in a hands-on, collaborative environment. Specifically, we are seeking a versatile scientist that has backgrounds touching chemistry/novel materials development with data science/AI background, and ideally robotics and automation with chemicals. This individual will work with a team of highly experienced formulation and application engineers help drive the development of novel materials through computational chemistry, machine learning/AI, and design-of-experiments (DoE). This is a unique opportunity to contribute to an integrated R&D workflow that directly connects modeling with experimental results (with automation) —and ultimately, with shipped product for existing and new applications that demand electronic materials for conductive traces, thermal interface, and many use cases in advanced semiconductor packaging, sensors, and solar markets. Duties and Responsibilities: • Design and execute factorial, mixture, and response-surface DoE; apply Bayesian optimization/active learning to cut iteration cycles., • Build and maintain predictive/QSPR/QSAR and physics-informed models (e.g., solubility/compatibility, rheology, cure kinetics, dispersion stability)., • Use DFT/MD/thermo models (as appropriate) to screen monomers, polymers, solvents, surfactants, and additives (e.g., COSMO-RS/UNIFAC/Hansen parameters)., • Integrate data pipelines with ELN/LIMS/HTE/robotics; enforce versioning, metadata, and reproducibility., • Can create database using relational database tools such as MySQL, or NoSQL database such as graphical database., • Can design interface so that all scientists can input the data with less errors., • Partner with formulators, process engineers, and manufacturing to translate models into scale-ready recipes and process windows (AI to EI benchtop)., • Communicate results with crisp visuals; make clear go/no-go calls backed by uncertainty quantification. Qualifications: Required: • MS/PhD in Chemistry, Chemical Engineering, Materials Science, or related field (or equivalent experience)., • Proficiency in Python (pandas, scikit-learn; ideally PyTorch + BoTorch/Ax or GP frameworks like GPyTorch) and DoE tools (JMP/Design-Expert/R) or similar to execute on the tasks listed above., • Experience with Bayesian optimization/active learning, mixture designs, and process DoE; strong data hygiene and statistics., • Ability to work across lab + computation, write clear protocols, and drive decisions with data., • Database tools (Azure SQL, MySQL, Neo4j etc), • Interface tools (Python Tkinter, PyQT, PyGUI, Microsoft Power Apps etc) Preferred: • 3+ years building models for formulations (inks, coatings, adhesives, polymers, colloids, or similar) and running DoE hands-on, • DFT/MD (VASP, Gaussian, ORCA, LAMMPS/GROMACS) and cheminformatics (RDKit)., • Silicones/epoxies/urethanes, conductive/EMI coatings, dispersants, surfactants, rheology modifiers, or cellulose/HEC systems., • Experience with HTE/automation/robotics, inline analytics, and process scale-up., • Knowledge of reliability and regulatory constraints (e.g., low-ionics, RoHS/REACH)., • Familiarity with LIMS/ELN integration and dashboarding (Plotly/Streamlit). Tooling You’ll Use Python (pandas, scikit-learn, PyTorch, BoTorch/Ax, Optuna), R/JMP/Design-Expert, RDKit, COSMO-RS/UNIFAC/Hansen, VASP/ORCA/Gaussian (as relevant), SQL, LIMS/ELN. Note: This job description is intended to provide a general overview of the position. Other duties may be assigned as needed. Benefits: • Health, Dental, and Vision Insurance – provided by Employer, • Short-term Disability, Long-term Disability – provided by Employer, • Life Insurance – provided by Employer, • 401(K) Plan with 2% match, • Paid Time Off (PTO), • Paid Holidays About Electroninks: Electroninks Incorporated is the market-leader in the production and scaled manufacturing of metal-complex conductive inks. We have developed a full suite of proprietary conductive ink solutions, world-class manufacturing partners, and complimentary equipment ecosystems, thus accelerating time to market for new products and additive manufacturing breakthroughs. Electroninks’ metal complex inks – including silver, gold, platinum, nickel and copper –deliver higher conductivity, flexibility and cost-effectiveness. We are the only domestic U.S. supplier of this full suite line of particle-free inks. The company’s conductive inks have been adopted by customers requiring highly reliable solutions for applications in semiconductor packaging, printed circuit board (PCB) manufacturing, consumer electronics, wearables, medical devices and more. We also partner closely with best-in-class equipment and integration partners to provide customers a total ink and process solution with the ultimate goal to reduce the manufacturing costs and complexity. Our goal is to successfully implement our conductive inks into our customers products and close the gap of commercialization. We have a world-class talented and professional team, with expertise in electronics, semiconductor, advanced materials, chemistry, and ink production. We are backed by strong strategic partners and some of the most prominent global technology investors. We are headquartered and located in Austin, Texas.

Job Description Quilr is a start up in stealth mode based out of Austin. We are aiming to solve a problem in the Cybersecurity space that has been untouched till now. The founder has a 12 year history in Cybersecurity and has exited a company for $1B+. We are looking for a Senior Data Scientist to join our team to build a core engine of the product. The Senior Data Scientist will work closely with fellow developers to build the product. We are looking for someone who is very knowledgeable and a fast learner. Has to be very driven, enthusiastic and wants to be part of building something big. This will be a very high demanding role with very aggressive timelines, long work hours and complex problem statements. If this doesn't excite you and rather scares you, this isn't the role for you. Responsibilities: * Designing AI/ML systems. * Researching and setting up ML algorithmsand tools. * Selecting appropriate data sets. * Picking appropriate data representation methods. * Identifying differences in data distribution that affect model performance. * Verifying data quality. * Transforming and converting data science prototypes. * Performing statistical analysis. * Running machine learning tests. * Using results to improve models. * Training and retraining systems when needed. * Extending machine learning libraries. * Developing ML apps according to use case requirements. * Staying up to date on new trends and technologies in ML and AI. * Decide,Deploy,Train, tune and Scale AI/ ML models focused on solving particular use cases. * Designing and build data pipelines to feed data to train model and manage them. * Research AI techniques used in Similar problem statements by other organizations. * Understand the space of cybersecurity. Required Experience: * Advanced math and statistics skills in subjects such as linear algebra, calculus and Bayesian statistics. * An advanced degree in computer science, math, statistics or related fields. * 7+ Years of experience in machine learning, neural networks, deep learning or related fields. * Strong analytical, problem-solving, communication and teamwork skills. * Software engineeringskills. * Experience in data science. * Experience with coding and programming languages, including Python, Java, C++, C, Rand JavaScript. * Experience working with ML frameworks. * Experience working with ML libraries and packages, such as the Natural Language Toolkit. * An understanding of data structures, data modeling and software architecture. * Knowledge of computer architecture. * Knowledge and fluency in cloud platforms such as Amazon Web Services (AWS) ands Azure. * Experience with Python for developing machine learning pipelines using scikit-learn or R. * Experience in or can Implement/Develop/Tune/Train - Relational AI/Graph AI models, LLM models, NLP/NLU, Behavioral AI, Computer Vision etc. This is very young start up, with big dreams. If you think you are up for it feel free to apply. Company DescriptionThis is a very young startup in Stealth mode looking to build a transformative product in the cybersecurity space. Will not stop at anything. Very hardworking and innovative culture.This is a very young startup in Stealth mode looking to build a transformative product in the cybersecurity space. Will not stop at anything. Very hardworking and innovative culture.

Job Description Environmental Research Group, LLC (ERG) is seeking an Environmental Scientist to join our Environmental Compliance Team to support a variety of environmental compliance projects. This full-time position is based in Austin, Texas and will travel to project locations throughout the United States. The Environmental Scientist is expected to support and lead a variety of projects, working both independently and as part of a team. An experienced multi-disciplinary background is valued for this position. You will plan and execute technical projects, conduct regulatory research, write reports, support permitting process, conduct site visits and surveys, and collaborate with a team, while remaining flexible to prioritize clients' needs and deadlines. This position requires traveling on average one week per month for fieldwork and site visits, with durations of 3 to 12 days on site. The field work can include working indoors, outdoors, and/or industrial locations, and wearing Level D PPE. Founded in 2000, ERG provides environmental compliance, natural resource, and cultural resources consulting services. We are a value-driven, employee-first government small business contractor. Trust, expertise, and compassion drive our success, while gratitude, joy, and flexibility drive the team. Minimum Qualifications • Bachelor's degree in Environmental Engineering, Environmental Science, or a closely related field. Master's degree, Professional Engineer, and/or relevant certifications are a plus., • Experience in multiple environmental compliance program areas, including but not limited to SPCCP, SWPPP, MS4, hazardous materials/EPCRA, hazardous waste/RCRA, storage tanks, air programs, and/or environmental auditing., • Working knowledge of federal environmental compliance programs. Knowledge and experience with Texas state environmental compliance is a plus., • Excellent interpersonal communication, writing skills, and attention to detail., • Ability to work independently, manage time efficiently, and be responsive., • Flexibility to serve in multiple roles and teams depending on the client and project., • Must be able to pass DoD security clearances and background checks., • The position requires experience with multiple federal and state environmental compliance regulatory areas, with a focus in one or more programs: environmental compliance auditing and inspections, Environmental Management Systems; Clean Water Act compliance, including stormwater and wastewater permitting, planning and compliance, petroleum, oil, and lubricant experience with spill prevention and response, SPCCP, and/or above ground storage tank management and inspections, air permitting, data collection, air program management, RCRA hazardous waste management, hazardous material management, EPCRA, or toxins., • Experience in preparing and writing environmental compliance plans, permits, and reports, and conducting environmental compliance assessments to ensure compliance with federal, state, and local requirements., • Experience in providing environmental project support to clients, including conducting site visits as needed. Work experience with federal government agencies, Department of Defense, and state environmental agencies. Experience with Texas Commission on Environmental Quality (TCEQ) is a plus. Successful candidates should be prepared to submit a writing sample. ERG, LLC is an Equal Opportunity and Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, pregnancy, marital status, sexual orientation, gender identity, age, physical or mental disability, or protected veteran status. We participate in the E-Verify Employment Verification Program.

Job DescriptionJob DescriptionPlan, develop, and take ownership in data-intensive investigations of financial fraudConduct background research to develop hypotheses of where fraud occursWrite scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insightsConstruct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occursSummarize and present findings to technical and non-technical audiences QualificationsAdvanced degree in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field2+ years of prior experienceKnowledge of financial concepts and principlesExcellent skills in R, Python, and/or SQLAttention to detailIntellectual curiosity and interest in fraud analysisHighest ethical standardsStrong teamwork abilities We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Abacus is looking to hire a Senior Data Scientist in the Austin, TX area. Role Summary As a Senior Data Scientist, you will design, develop, and deploy advanced machine learning models to solve complex business problems. You will collaborate closely with cross-functional teams, transform large and messy datasets into actionable insights, and ensure that our models deliver sustained value. Your expertise will shape how we leverage AI to enhance product returns management and operational decision-making. Key Responsibilities • Data Acquisition & Preparation: Gather, clean, and process structured and unstructured data from multiple sources to ensure quality and readiness for analysis., • Model Development: Design, build, and optimize machine learning models (regression, classification, neural networks, etc.) to address business challenges., • Pipeline Engineering: Develop, automate, and maintain robust data and ML pipelines to streamline model training, testing, and deployment., • Model Maintenance: Monitor, retrain, and refine deployed models to ensure performance stability and adaptability over time., • Performance Analysis: Evaluate model effectiveness using statistical and ML metrics, providing actionable recommendations for improvement., • Business Partnership: Collaborate with stakeholders to translate complex business problems into data-driven solutions and experimental designs., • Analytical Reporting: Deliver clear, concise analyses and reports for both technical and non-technical audiences, including ad hoc and recurring business requests., • Documentation & Transparency: Maintain thorough documentation of methodologies, assumptions, and results to ensure reproducibility and traceability., • Innovation & Best Practices: Stay current with advancements in AI, ML, and data science to integrate emerging methods and tools into workflows., • Culture Building: Promote a culture of accountability, openness, and continuous learning within the data science team., • Will Serve as a backup to the CIO Required Skills & Experience • Education & Experience:, • 5+ years of related experience with a Bachelor's degree, or 3+ years with a Master's degree; or equivalent work experience., • Degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science)., • Technical Expertise:, • Proficiency in Python (pandas, numpy, scipy) and SQL for data manipulation, analysis, and pipeline development., • Experience with machine learning frameworks and techniques, including regression, classification, neural networks, and feature engineering., • Experience with Azure ML, Power BI, or similar analytics platforms., • Skilled in web scraping, handling large-scale multi-source datasets, and managing ambiguous data environments., • Strong knowledge of statistical methods for experimentation (e.g., randomization, t-tests, confidence intervals)., • Analytical & Business Skills:, • Proven track record of managing and delivering high-volume analytics or experimentation projects across multiple stakeholders., • Ability to translate analytical insights into actionable business recommendations., • Communication & Collaboration:, • Excellent written and verbal communication skills, comfortable presenting to both technical and business audiences., • Strong documentation, organizational, and time management skills.

Job Description POSITION SUMMARY: Natera is currently seeking a licensed Medical Laboratory Scientist to analyze specimens and maintains equipment in good operating condition. PRIMARY RESPONSIBILITIES: * Verify the proper specimen being analyzed and perform tests that need to be completed * Proficient at analyzing clinical laboratory specimens following the standard methods and procedures in an efficient manner with little to no errors * Responsible for maintaining updated understanding and knowledge of methods performed in the lab * Provides general oversight of personnel and the daily operations in the lab. * Meet expected performance metrics within the role as applicable. * Follows GLP (good laboratory practice): maintain clean and organized workspace * Completes training and other deadlines on time. * Provide guidance for new Clinical Laboratory Operators and/or Medical Laboratory Scientists. * Train on specialized instructions for instruments/protocols (super users) * Recognizes and escalates equipment malfunctions; troubleshoots common analytical and processing errors according to the laboratory's standard operating procedure * Recognizes, documents, and escalates protocol deviations in lab to lead/supervisor * Assists with documentation for nonconformance reports. * Participates in the updating of departmental standard operating procedures and database to accurately reflect the current practices. * Conducts independent continuous improvement projects * Ensures compliance with all regulatory agency requirements through proper documentation (example maintenance logs, bench worksheet) * Performs quality control procedures to ensure accuracy of clinical data (if applicable) * Maintains equipment and instruments in good operating condition (such as calibration and expiration date) * Maintain inventory of material, supplies and equipment in the laboratory for performance of duties. * Communicates with team and other departments on various platforms (including via e-mail) * Provides feedback on day-to-day schedule and tasks to lead/supervisor; offers suggestions/ideas for improvement * Assists teammates in completing daily tasks and facilitate workflow as needed * Conducts himself/herself in a professional manner; acts as a role model/mentor to others * Adheres to Departmental Expectations QUALIFICATIONS: * 1-2 years of experience as a Medical Technologist or equivalent in a clinical laboratory environment. * BS/BA degree in Medical Technology, Biological Sciences, or a related field * Current MT/MLS/CLS certification preferable from ASCP, AMT, or AAB. Certification required. KNOWLEDGE, SKILLS, AND ABILITIES: * Excellent interpersonal, communication, computer, troubleshooting, and pipetting skills. * Experience in Molecular Biology preferred. * Excellent oral and written communication skills. * Word processing and data management skills. * Ability to work well in a group * Ability to work independently, with minimal supervision The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.Austin, TX$27.88—$34.85 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • BBB announcement on job scams, • FBI Cyber Crime resource page

Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Field Data Scient

Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Field Data Scient

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Research and implement new technologies and methods across data science, data engineering, and data visualization to continuously improve the team's technical capabilities. Demonstrate exceptional judgment and discretion when dealing with highly sensitive people data, acting as a steward for data et

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Field Data Scient

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Field Data Scient

As a Data Scientist, you will transform complex data into actionable insights that empower AppleCare leadership and product teams to enhance customer experience and operational excellence. Collaborate with data scientists, product managers, and leadership to shape the future of analytics platforms w

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Data Scientist Job Duties: Formula

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties: