Data Scientist jobs at Jet Propulsion Laboratory - 505 jobs

Role Description We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company. Responsibilities Develop a deep understanding of customer journey phases and key business metrics Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL and large unstructured datasets such as Hadoop Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$149,200-$201,800 USDUS Zone 3$132,600-$179,400 USD

Job Title: Data Scientist Schedule: Mon-Fri 8-5/9-6, hybrid on-site Tu/Th JOB SUMMARY & SCOPE Peak Technologies is seeking a motivated and analytical Data Scientist to help advance our data-driven strategy and support the development of intelligent automation, analytics, and AI solutions across the business. In this role, you will analyze large datasets, build predictive and generative models, and translate data into actionable insights that enhance operational efficiency and customer outcomes. You will also have opportunities to explore emerging technologies such as Large Language Models (LLMs), Large Vision Models (LVMs), and other machine learning and computer vision techniques to bridge the gap between research and business application. This position requires strong problem-solving skills, solid technical proficiency, and a genuine passion for using data to drive measurable impact in a fast-paced, collaborative environment. KEY ACCOUNTABILITIES Collect, clean, and preprocess large datasets from multiple sources while ensuring data accuracy, consistency, and integrity. Apply statistical methods, hypothesis testing, and exploratory data analysis to identify trends and opportunities. Develop and deploy machine learning and predictive models to support data-driven decision-making and product innovation. Research, prototype, and evaluate AI and ML models, including LLMs, LVMs, and other cutting-edge algorithms. Collaborate with engineering and data annotation teams to improve data pipelines, tagging accuracy, and supervised learning processes. Create clear, impactful visualizations, dashboards, and reports for technical and non-technical audiences. Design and interpret A/B and multivariate tests to measure the impact of business changes or feature deployments. Maintain documentation for data sources, transformation logic, and model development processes. Participate in code reviews, model evaluations, and team knowledge-sharing sessions to promote best practices. Ensure compliance with data governance, privacy, and security standards across all data projects. EDUCATION + EXPERIENCE + KEY TRAITS Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Artificial Intelligence, or a related field. Minimum 1 year of experience in a data science, applied AI, or analytical role (internship or postgraduate research experience may qualify). Proficiency in Python, R, and SQL, including experience with frameworks such as scikit-learn, TensorFlow, or PyTorch. Strong understanding of statistical modeling, data visualization, and machine learning evaluation techniques. Familiarity with cloud platforms (Google Cloud Platform, AWS, or Azure) and tools such as Vertex AI is preferred. Excellent communication skills with the ability to explain complex concepts to diverse audiences. Detail-oriented, proactive, and comfortable working collaboratively across cross-functional teams. Passionate about innovation, continuous learning, and contributing to a data-driven culture at Peak Technologies. BONUS EXPERIENCE (Preferred but Not Required) Hands-on experience with Natural Language Processing (NLP) or Computer Vision tasks (e.g., text classification, image tagging, or sentiment analysis). Exposure to data warehousing, ETL processes, or data engineering workflows. Contributions to open-source projects or research publications in data science or artificial intelligence. TYPICAL PERFORMANCE TARGETS SERVICE DELIVERY: Sustained, measured excellence in project & process delivery COST TO SERVE: Sustained, measured excellence in delivery efficiency with expected continuous improvement INNOVATION: Step changed delivery in safety, quality, and/or cost LANGUAGE SKILLS Primary language used in daily operations is English. Additional primary company languages include Spanish, French, and Dutch. Read and interpret documents, procedure manuals and various correspondence from both internal and external. Speak effectively, both individually and before groups of both external customers and/or various levels of employees within the organization. MATHEMATICAL SKILLS Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. REASONING ABILITY Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. COMPUTER SKILLS To perform this job successfully, an individual should have knowledge of Microsoft Office suite, Excel, and Word specifically. CRM skills required. SUPERVISION Role does not require supervision of direct and indirect reports. DECISION MAKING + REASONING Able to take accountability and responsibility for business target delivery and decision making. Possess a unique blend of business and technical savvy, a big-picture vision, and the drive to make that vision a reality. PHYSICAL REQUIREMENTS Activity Amount of Time None Under 1/3 1/3 to 2/3 Over 2/3 Stand X Walk X Sit X Use hands to finger, handle, or feel X Reach with hands and arms X Climb or balance X Stoop, kneel, crouch, or crawl X Talk or hear X Lift Up to 25lbs X Travel X

Looking for workers that can develop AP testing reports, write PowerBI dashboards, and have a great understanding of data breaks. Reporting and pipeline building but understand the business. These are high priority projects About the Role: We are hiring a Data Scientist with strong data engineering and business intelligence skills to build robust data pipelines and reporting systems. This role focuses on automating reporting workflows, creating dashboards, and ensuring data quality for enterprise analytics. Key Responsibilities: Design and maintain ETL pipelines to support reporting and analytics. Develop and automate dashboards using BI tools (Power BI, Tableau, Looker). Ensure data quality, consistency, and reliability across reporting systems. Collaborate with business teams to understand reporting needs and deliver actionable insights. Optimize data workflows for scalability and performance. Implement CI/CD principles and manage code repositories using GitHub Enterprise. Required Qualifications: Strong experience with SQL, Python, and data pipeline tools (Databricks Jobs). Proficiency in BI platforms, dashboard development. Understanding of data gateways, report connection concepts and cloud platforms (Azure). Familiarity with CI/CD principles and GitHub Enterprise. Self-starter with an ownership mindset and ability to work independently. Preferred Qualifications: 2+ years experience in retail or enterprise reporting environments. Exposure to Databricks and PySpark for data processing. Familiarity with Agile development environments.

Are you an experienced data scientist looking to join an industry-leading team? E Source develops groundbreaking data science applications that change the way utilities understand and manage their networks. We tackle challenging projects like simulating major investment strategies across statewide electric networks and optimizing vegetation management strategies. To conduct these projects, we leverage a combination of machine-learning models, inference-based statistics, and remote-sensing applications. Each project or product is collaboratively developed in-house by a data science team of diverse professional backgrounds and domain expertise. Ultimately, our work helps utilities keep the lights on for their customers when they need it most. A little about E Source E Source combines industry-leading research, data science, and consulting to help utilities make and implement better data-driven decisions that positively impact their customers, their bottom line, and our planet. Headquartered in Boulder, CO, we have teams across the US and Canada. Learn more at **************** How you'll help: Fit and assess predictive models leveraging geospatial data sources in R or Python. Explore and analyze client-provided assets and reliability data sets. Collaborate with a broader data science and engineering team to take projects and products from inception to client delivery. You'll be a full-time member of the E Source Data Science team. Our data science positions appeal to self-starters who welcome and excel in team-based, collaborative projects from conception to end-user handoff, providing excellent customer experience throughout. The ability to simplify complex analyses into understandable concepts that are applicable to management and operations staff is highly desired. What will make you a great fit: Required qualifications: Education: MS or PhD in Engineering, Math, Statistics, or similar field of study. Experience: MS + 1 year professional experience conducting data science projects in industry or applied research - analytical design, managing schedule and communicating results to stakeholders or PhD with applied research in above mentioned fields of study. Hands on experience cleaning, joining, and analyzing real-world data sets using predictive models (statistical, machine learning) in R and/or Python. Experience working as part of a larger data science team, collaborating with technical or non-technical peers, and presenting interpretable results to stakeholders. Preferred qualifications: Domain expertise in the electric utility space Domain expertise in geospatial analytics or using remotely sensed weather observations Experience leading and overseeing the work of data analysists or data scientists within a team What you can expect Excellent insurance options, including medical, dental, and vision plans; company-paid life insurance; company-paid long- and short-term disability insurance; and medical and dependent-care flexible spending plans. A flexible time off (FTO) program where you can take as many paid days off per year as they need, with manager approval, while fulfilling their work obligations and ensuring proper coverage of their responsibilities. Flexible schedules, flexible work locations, and a paid parental leave benefit. A 401(k)/RRSP plan with a 3% employer match. We are hiring between Levels II-IV for this position. The budgeted salary for this position is: $90,000 to $145,000 USD + annual bonus. Actual pay will be adjusted based on experience. This role will be 100% remote, with infrequent travel (generally 1-2 times per year). Applicants must be authorized to work for any employer in the US or Canada. We're unable to sponsor or take over sponsorship of employment visas or Labour Market Impact Assessments (Cdn) at this time. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Employees of E Source are encouraged to apply. To foster a positive work environment and company culture, we support our employees in their career growth at E Source. If you are interested in similar job opportunities in the future, visit the E Source careers page for a listing of all open positions and contact Human Resources. We contact applicants directly via email using only our designated company email addresses with the domain ***************. Please do not provide personal information to anyone over email and be wary of other accounts impersonating businesses. #LI-Remote #LI-SC1

Who We Are Ready to create a healthier world? We are ready for you! Personify Health is on a mission to simplify and personalize the health experience to improve health and reduce costs for companies and their people. At Personify Health, we believe in offering total rewards, flexible opportunities, and a diverse inclusive community, where every voice matters. Together, we're shaping a healthier, more engaged future. Responsibilities Ready to Transform Data Into Product Strategies That Drive Member Outcomes? We're seeking a strategic analytics leader who can combine deep technical expertise with product strategy insight to develop scalable frameworks and advanced analytics. As our Lead Product Data Scientist, you'll serve as the primary analytics partner for product leadership while designing experimentation models that empower teams and inform company-level decisions. What makes this role different ✓ Strategic partnership: Act as primary analytics partner to senior product leadership, setting frameworks for KPI definition, tracking, and evaluation ✓ Advanced modeling expertise: Create predictive and causal inference models that anticipate feature impact, engagement, and health outcomes ✓ Cross-functional influence: Serve as senior analytics thought leader, influencing roadmap prioritization and portfolio investment decisions ✓ Scalable impact: Build self-service tools and dashboards that empower teams while setting enterprise-level analytics standards What You'll Actually Do Drive product analytics strategy (40%): Act as primary analytics partner to senior leadership, developing advanced product funnel and user behavior models that identify patterns unlocking new opportunities. Architect experimentation frameworks (30%): Design and evaluate A/B and multivariate tests with statistical rigor while creating predictive models for feature impact and long-term engagement. Lead cross-functional influence (20%): Translate analytical findings into executive-level narratives that drive confident, data-backed decisions while facilitating workshops that raise data fluency across teams. Ensure technical excellence (10%): Partner with Data Engineering to optimize analytics-ready pipelines while establishing best practices and reusable libraries for SQL, Python, and experimentation templates. Qualifications What You Bring to Our Mission The technical foundation: Advanced SQL skills for complex query design and optimization Deep proficiency in Python with libraries like pandas, numpy, scikit-learn for modeling and analysis Strong grounding in statistical inference, hypothesis testing, and causal modeling Expertise with experimentation platforms and product analytics tools (Amplitude, Mixpanel, Heap) The strategic expertise: 5-8+ years leading product analytics or data science initiatives in SaaS, healthcare, or consumer tech Proven track record informing product strategy through analysis and experimentation Experience defining, evolving, and scaling product KPIs and measurement frameworks Demonstrated success influencing product and company-level decisions with data Experience partnering with product managers, digital user flows and funnels The leadership competencies: Ability to coach and raise data fluency of product managers, designers, and business leaders Strong executive communication and storytelling skills with comfort presenting to leadership teams Track record building scalable analytics frameworks that multiply impact across teams Experience in agile product environments with direct contribution to roadmap shaping The technical stack experience: Languages/Analytics: SQL, Python, R Visualization: MicroStrategy, Tableau, Looker, PowerBI Infrastructure: AWS, Snowflake, dbt Product Analytics: Amplitude, Mixpanel, Heap, Pendo Collaboration: Jira, Confluence, Teams The preferred qualifications: Background in healthcare, digital health, or wellness tech ecosystems Experience applying machine learning techniques to personalization or member engagement Familiarity with journey analytics, health outcomes measures, or value-based care metrics Demonstrated thought leadership in product data science communities or forums Why You'll Love It Here We believe in total rewards that actually matter-not just competitive packages, but benefits that support how you want to live and work. Your wellbeing comes first: Comprehensive medical and dental coverage through our own health solutions (yes, we use what we build!) Mental health support and wellness programs designed by experts who get it Flexible work arrangements that fit your life, not the other way around Financial security that makes sense: Retirement planning support to help you build real wealth for the future Basic Life and AD&D Insurance plus Short-Term and Long-Term Disability protection Employee savings programs and voluntary benefits like Critical Illness and Hospital Indemnity coverage Growth without limits: Professional development opportunities and clear career progression paths Mentorship from industry leaders who want to see you succeed Learning budget to invest in skills that matter to your future A culture that energizes: People Matter: Inclusive community where every voice matters and diverse perspectives drive innovation One Team One Dream: Collaborative environment where we celebrate wins together and support each other through challenges We Deliver: Mission-driven work that creates real impact on people's health and wellbeing, with clear accountability for results Grow Forward: Continuous learning mindset with team events, recognition programs, and celebrations that make work genuinely enjoyable The practical stuff: Competitive base salary plus commission structure that rewards your success Unlimited PTO policy because rest and recharge time is non-negotiable Benefits effective day one-because you shouldn't have to wait to be taken care of Ready to create a healthier world? We're ready for you. No candidate will meet every single qualification listed. If your experience looks different but you think you can bring value to this role, we'd love to learn more about you. Personify Health is an equal opportunity organization and is committed to diversity, inclusion, equity, and social justice. In compliance with all states and cities that require transparency of pay, the base compensation for this position ranges from $130,000 to $170,000 annually. Note that compensation may vary based on location, skills, and experience. This position is eligible for 10% target bonus/variable compensation as well as health, dental, vision, mental health and other benefits. We strive to cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive. Personify Health is committed to driving Diversity, Equity, Inclusion and Belonging (DEIB) for all stakeholders: employees (at each organization level), members, clients and the communities in which we operate. Diversity is core to who we are and critical to our work in health and wellbeing. #WeAreHiring #PersonifyHealth Beware of Hiring Scams: Personify Health will never ask for payment or sensitive personal information such as social security numbers during the hiring process. All official communication will come from a verified company email address. If you receive suspicious requests or communications, please report them to **************************. All of our legitimate openings can be found on the Personify Health Career Site.

Role Description We're looking for a Senior Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the AI and Core Experience area. This area focuses on improving key part of the core product through re-envisioning the user experience including the home experience, integrating AI features into the user experience, and building new functionality. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behavior analysis, and customer segmentation. We're looking for someone who can bring opinions and strong narrative framing to proactively influence the business. Responsibilities Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data. Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 6+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Strong leadership and influence skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$173,700-$234,900 USDUS Zone 3$154,400-$208,800 USD

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be the deepest technical expert responsible for using data and scientific techniques to design and build scalable, state-of-the-art solutions to enhance Asana's marketing effectiveness. You will drive the technical roadmap for data science, collaborating with marketing leadership and the broader Asana data community to uncover new opportunities. You will provide technical leadership and hands-on mentorship, elevating the team's technical bar and influencing overall business strategy through best-in-class modeling and experimental design. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve: Architect, design, and lead the technical execution for the Marketing Data Science roadmap, serving as the Solution Architect for all core projects including Media Mix Modeling (MMM), User Lifetime Value, Causal Inferences, Multi-touch Attribution, and Spend Optimization engines. Act as the primary technical subject matter expert for the Marketing Data Science team, setting the technical bar for modeling quality, code rigor, data pipeline architecture, and solution scalability. Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach. Provide hands-on technical mentorship and guidance to a team of data scientists at varying levels, helping them navigate complex modeling challenges, choose appropriate methodologies, and establish robust ML Ops. Develop and standardize MLOps tooling and processes that enable the team to deploy, monitor, and maintain multiple models in production efficiently and reliably. Research, prototype, and advocate for emerging capabilities and state-of-the-art models in the marketing data science space, demonstrating their potential benefits and leading their implementation. Take on a technical leadership role within the broader Asana Data Community, interacting with Data Engineering and Platform teams to influence the data and MLOps infrastructure required to support marketing data products. About you: Bachelor Degree in Math, Statistics, Computer Science, Engineering a related quantitative field, or equivalent experience 6+ years of experience in a data science role, with 2+ years dedicated to technical leadership and mentorship of other data scientists, successfully driving the architecture and execution of large-scale production data science projects 4+ years of experience collaborating with Marketing functions on deep technical projects, with extensive experience designing, implementing, and deploying marketing models (e.g. MMM, LTV, MTA, Uplift) Expert-level knowledge in advanced statistical modeling, causal inference, experimental design and analysis, and machine learning techniques relevant to marketing effectiveness Proven track record developing, deploying, and maintaining scalable production ML solutions and data products Technical Stack: Expert proficiency in SQL and Python. Experience with MLOps tools (e.g., MLFlow), statistical languages (e.g., R), and distributed data processing systems (e.g., Spark, Redshift) is a plus Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. What we'll offer: Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $202,000 - $316,00. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-AA1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana.

Department Data Employment Type Full Time Location US Workplace type Fully remote Reporting To Gordon Wong Key Responsibilities Skills, Knowledge and Expertise Benefits About Newfire Global Partners Newfire Global Partners is a leading custom software development company that specializes in working on complex problems. With a strong focus on meeting the unique needs of each organization, they connect clients with local leaders and trusted remote teams to deliver exceptional IT services and software development solutions. Their range of expertise spans various domains, including Data & Analytics, AI/ML, Software Engineering, Product Management, and Marketing. By leveraging recent innovations in artificial intelligence, Newfire Global Partners ensures that their clients can transform the new normal into a competitive advantage. Through their advisory services, experienced leaders guide businesses through transformations and de-risk operations throughout the entire lifecycle. They also offer talent augmentation, bringing together highly skilled professionals from multi-disciplinary teams to support software, product, and marketing needs. Newfire Global Partners is committed to providing excellent service and driving client growth. Their team of industry experts works closely with organizations, whether it's driving transformation, building from scratch, or getting things done efficiently. Trusted by VC & PE firms, established businesses, and startups, Newfire Global Partners is proud to be a reliable partner in various industries, including healthcare, enterprise, and fintech. Partner with Newfire Global Partners today and unlock the expertise that accelerates success.

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

Job Description itD is seeking a Data Scientist to produce innovative, data-driven solutions through exploratory analysis of complex, high-dimensional datasets. This role contributes directly to product improvement and business decision-making by transforming raw data into actionable insights, scalable models, and impactful prototypes. The ideal candidate brings strong experience in data science, statistics, and machine learning, along with a proven ability to analyze large datasets and deliver meaningful analytical outcomes. Location: Remote (U.S.-based); preference for PST We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities: Apply advanced statistical, mathematical, and machine learning techniques to identify patterns, opportunities, and insights within complex datasets. Design, develop, and evaluate predictive models and advanced algorithms to optimize value extraction from data. Conduct exploratory data analysis to generate hypotheses, test assumptions, and interpret experimental results. Partner with product and engineering teams to translate analytical prototypes into scalable products, services, and features. Support business intelligence and data visualization efforts, including dashboard development and ad-hoc analytical requests. Analyze large datasets using SQL and Python to meet defined analytical deliverables and reporting requirements. Internal Responsibilities: Attend regular internal practice community meetings. Collaborate with your itD practice team on industry thought leadership. Complete client case studies and learning material (blogs, media material). Build out material to contribute to the Digital Transformation practice. Attend internal itD networking events (in person and virtual). Work with leadership on career fast-track opportunities. Required Qualifications and Skills: 3+ years of experience in data science, analytics, or research-focused roles. Proficiency in Python and/or R for data analysis and modeling. Experience working with large, complex datasets. Hands-on experience with data querying and analysis using SQL. Strong written communication skills with the ability to clearly convey complex analytical concepts. Preferred Qualifications and Skills: Experience with big data tools such as Hadoop. Experience with data visualization tools such as Tableau. Exposure to product experimentation, A/B testing, or large-scale analytics initiatives. Education: Bachelor's degree in economics, mathematics, computer science, engineering, statistics, or a related field required. Master's degree in computer science or a relevant field preferred. Company Description About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You'll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints. The itD Digital Experience: Joining us means you'll be part of our global community, you have a say about your own career journey, and you'll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit *************************** to learn more about what working at itD can mean for you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at ********************** and let us know the nature of your request and your contact information. Additional Info Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business. About the role Roku is looking for a Research Data Scientist to join the Core Analytics team to support our experimentation platform. This individual will be responsible for helping to scale Roku's experimentation capabilities, exploring and implementing scalable and robust statistical methods that can be applied to a broad range of experimentation problems. The successful candidate will help build tooling for engineers, product managers, and marketers to self-serve their own experiments and establish experimentation best practices across Roku. This individual will work closely with product management and data engineering, and a software engineer to identify opportunities to create new features, drive their adoption. This individual will investigate and develop solutions to track, monitor, and improve our Experimentation ecosystem. The successful candidate is quantitatively driven, well-versed in experimentation and advanced statistical methods, detail-focused, and possesses an elevated level of problem-solving expertise. For California Only - The estimated annual salary for this position is between $132,000-$254,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. Roku will be accepting applications for this position until November 27, 2025 [or until the position filled]. This is a hybrid role with four days per week in the office, Monday through Thursday. The selected candidate will be based out of San Jose, CA or NYC. What you'll be doing Own the experimentation roadmap for Core Analytics in partnership with Product and Engineering. Define the standard for statistical analysis across varying types of experiments and units of analysis, ensuring robust results with minimal bias Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian inference and causal methods to optimize complex strategies Develop necessary data pipelines to power automation, validation, and reporting Collaborate with stakeholders to align data science initiatives with organizational goals and strategy Collaborate with the Product Management and Engineering team to proactively seek and incorporate feedback We're excited if you have 2+ years of work experience with a PhD in a quantitative field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.) OR 5+ years of equivalent practical experience with a master's degree. Deep knowledge of statistics, probability, and machine learning techniques Hands-on experience on experimental design, A/B testing, causal inference, and statistical modeling/forecasting Expertise in SQL, SAS, R, Python, or other programming languages to query data and perform analysis Hands-on experience with visualization tools like Tableau or Looker Have a bias towards action in resolving issues and operate in a dynamic environment The ability to effectively communicate with technical and non-technical business partners alike, who are interested in building strong cross-functional relationships. A desire to question the status quo and promote innovative solutions to challenging problems. #LI-OnsiteOur Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to **************************. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit ************************************ By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business. About the role Roku is looking for a Research Data Scientist to join the Core Analytics team to support our experimentation platform. This individual will be responsible for helping to scale Roku's experimentation capabilities, exploring and implementing scalable and robust statistical methods that can be applied to a broad range of experimentation problems. The successful candidate will help build tooling for engineers, product managers, and marketers to self-serve their own experiments and establish experimentation best practices across Roku. This individual will work closely with product management and data engineering, and a software engineer to identify opportunities to create new features, drive their adoption. This individual will investigate and develop solutions to track, monitor, and improve our Experimentation ecosystem. The successful candidate is quantitatively driven, well-versed in experimentation and advanced statistical methods, detail-focused, and possesses an elevated level of problem-solving expertise. For New York Only - The estimated annual salary for this position is between $132,000-$254,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. Roku will be accepting applications for this position until November 27, 2025 [or until the position filled]. This is a hybrid role with four days per week in the office, Monday through Thursday. The selected candidate will be based out of San Jose, CA or NYC. What you'll be doing Own the experimentation roadmap for Core Analytics in partnership with Product and Engineering. Define the standard for statistical analysis across varying types of experiments and units of analysis, ensuring robust results with minimal bias Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian inference and causal methods to optimize complex strategies Develop necessary data pipelines to power automation, validation, and reporting Collaborate with stakeholders to align data science initiatives with organizational goals and strategy Collaborate with the Product Management and Engineering team to proactively seek and incorporate feedback We're excited if you have 2+ years of work experience with a PhD in a quantitative field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.) OR 5+ years of equivalent practical experience with a master's degree. Deep knowledge of statistics, probability, and machine learning techniques Hands-on experience on experimental design, A/B testing, causal inference, and statistical modeling/forecasting Expertise in SQL, SAS, R, Python, or other programming languages to query data and perform analysis Hands-on experience with visualization tools like Tableau or Looker Have a bias towards action in resolving issues and operate in a dynamic environment. The ability to effectively communicate with technical and non-technical business partners alike, who are interested in building strong cross-functional relationships. A desire to question the status quo and promote innovative solutions to challenging problems. #LI-OnsiteOur Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to **************************. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit ************************************ By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business. About the role Roku is looking for a Data Scientist to join the Core Analytics team and provide support for our Customer Intelligence function, part of the broader Planning & Optimization team. Together, we answer high-impact business questions from senior leaders with clear, decision-ready insights. You'll work on customer analytics that directly shape how Roku grows engagement, retention and monetization across the streaming ecosystem, with visibility to cross-functional leaders and meaningful ownership over high-impact questions. This role is more than analytics and is intentionally “business-forward”. We're looking for someone who can translate customer behavior into metrics and narratives which can help define our customer strategy, and/or measure the impact of initiatives on customer behavior. You'll be expected to translate ambiguous stakeholder needs into strong analytical narratives and executive-ready deliverables. Familiarity with causal inference/experimentation is important; deep specialization is a plus but not required. This is a hybrid role with four days per week in the office, Monday through Thursday. The selected candidate will be based out of NYC. For New York Only - The estimated annual salary for this position is between $152,000-$184,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. What you'll be doing Own end-to-end analyses: scope the question, define success metrics, pull data, analyze, synthesize, and deliver data-driven narratives. Drive stakeholder alignment: clarify objectives, assumptions, tradeoffs, and decision points; ensure outputs are usable. Build crisp storytelling & presentations: create executive-ready readouts (slides, memos) with clear “so what / now what.” Develop SQL and Python-based workflows: write and review SQL/Python code to create datasets, compute KPIs, and validate results; use Airflow to maintain and build new pipelines when needed. Create reporting in Tableau/Looker: develop dashboards or recurring scorecards that make performance tracking easier and reduce ad-hoc churn. Measurement & causal thinking: apply or partner on quasi-experimental approaches (e.g., diff-in-diff, propensity matching, synthetic controls) with appropriate caveats to address incrementality questions. Raise analytical quality: ensure statistical rigor, bias awareness, and clear limitations. We're excited if you have 3+ years (or equivalent) in analytics/data science roles driving business decisions (tech, media, marketplaces, consumer products, etc.). Strong SQL (joins, window functions, building analysis-ready tables, QA/validation). Proficiency in Excel to work with data, tables and visualization. Strong ability to communicate insights: structured thinking, clear writing, confident presenting to non-technical and executive audiences. Solid foundation in statistics (hypothesis testing, confidence intervals, regression basics). Experienced with Python for analysis and data pipeline production (via Airflow). Hands-on experience with visualization tools like Tableau or Looker #LI-OR1Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to **************************. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit ************************************ By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.

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

Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Staff Data Scientist - Experimentation & Measurement Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You'll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products. What You'll Be Doing: Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn't feasible. Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company's senior leadership. Mentor and guide other Data Scientists, providing thought leadership and technical direction. Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team's work. Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem. Basic Requirements: Master's or PhD in Statistics, Economics, or Econometrics. 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). Deep expertise in A/B testing and causal inference, including quasi-experimental methods. Proficiency in SQL and Python for data extraction, transformation, and analysis. Broad and applied knowledge of statistical techniques. Experience with machine learning modeling is a plus. Proven ability to influence product and business decisions through clear, actionable insights. Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Bonus: Passion for video games, player communities, or the gaming industry. #LI-KC Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below.$212,200-$318,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

About Us Brockwell Technologies, Inc. (BTI) was founded in 1998 as a Woman Owned Small Business headquartered in Huntsville, AL. We provide top tier technical and engineering support services to some of the industry's largest company and government organizations. We believe creating a great employment experience starts with investing in our people, because they are our greatest asset. BTI is a six-time winner of the Huntsville/Madison County Best Places to Work award and certified as a "Great Place to Work". To learn more about our company, please click here to view our company website. What We Can Offer You Great Company Culture - We've been recognized by multiple organizations like Best Places to Work, Great Place to Work, Glassdoor for our workplace culture Employer Paid Benefits - Vision, Basic Life and AD&D (Employee Only), Short Term Disability, Long Term Disability, Telemedicine, and Employee Assistance Program for employees and their families Paid Time Off - We provide a generous PTO plan that graduates quickly with the years of service, company paid holidays, and we offer employees a PTO payout Health Benefits - Blue Cross Blue Shield medical with FSA option Dental Benefits Retirement - 401(K) Plan offered to all part-time and full-time employees aged 21 or older, we offer employees an employer contribution match, you are immediately vested, and at no cost to you access to a personal financial planner Education - We provide both tuition reimbursement and continuing education/training reimbursement Flexible Work Models - In office, work-from-home, or hybrid schedules (determined by our customer) Other Benefits - Dependent Care Flexible Spending Account, Voluntary Term Life Insurance and AD&D, Voluntary Spouse Life and AD&D, Voluntary Dependent Child Life and AD&D, Voluntary Accident, Referral Bonus Program. : Brockwell Technologies, Inc. (BTI) is seeking a Full Time Data Scientist to support our customer in Huntsville, AL. ** If candidate lives 51+ miles outside of Huntsville, AL - Remote work is authorized for this position ** ** If candidate lives within 50 miles of Huntsville, AL - Hybrid work is authorized for this position ** About the Position Under general direction, apply knowledge of mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into analytic solutions. Develop and maintain data visualizations using Tableau. Evaluate accuracy and quality of data sources as well as the designed models. Evaluate new and existing data sources, processes, and architecture to develop recommendations. May use expertise to design, develop code, test, and debug software in multiple programming languages. May work in one or several areas such as equipment or software design, engineering evaluation, or test configuration management procedures, statistical analysis, and modeling. Minimum Qualifications To be considered for this position, you must meet the following minimum qualifications listed below: U.S. Citizenship is required Active Secret Clearance or ability to obtain Strong Tableau visualization development skills Strong Oracle data analysis skills and ability to write/read SQL Experience in data analytics, predictive analytics, mathematics, statistics, or similar field Experience developing predictive or statistical models such as regressions, decision trees, neural networks, developing simulations, or performing optimizations using ILOG CPLEX, AnyLogic, or similar software package Demonstrated skill and experience in analyzing data using Excel or other methods Experience using SQL or other programming language to write complex queries, perform data analysis, extract data, and manipulate data Experience in data preparation, manipulation, and cleansing for large datasets Minimum Experience This position requires a minimum of either of the two options listed below: 12+ years of experience with a Bachelor's Degree 10+ years of experience with a Master's Degree Education/Certifications Bachelor's or Master's Degree Security Clearance This position requires an active DoD Secret Security Clearance government security clearance as a condition for placement and continued employment. Applicants must be a U.S. citizen for consideration. Candidates selected for this position will be subject to a background investigation and must meet eligibility requirements for access to classified information U.S. Citizenship is required. BTI is an EEO/M/F/Veteran/Disabled Employer We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The qualifications listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. **Candidates selected for this position will be subject to a background investigation and must meet eligibility requirements for access to classified information

Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Senior Data Scientist, Data Journalism San Mateo, CA (hybrid)* This position will also require onsite work at least one day/week at our San Mateo location. As a Senior Data Scientist focused on Data Journalism in the Product Data Science team, you will be working at the forefront of data science to uncover and share important data stories by exploring user behavior across the PlayStation ecosystem and discovering and communicating new information about our users and our ecosystem that will advance our company's ability to use data. You will work with team members and internal customers to harness your knowledge of data communication and data analysis techniques in order to unravel complex phenomenon and inform decision making throughout the company that will help create a personalized, joyous experience for PlayStation users around the world. Responsibilities: Identify and bring to life data stories that are present but unexplored in the team's output in a way that is both accurate and approachable. Use impactful visuals and concise narratives to create compelling stories for technical and non-technical audiences in product management, partner services, commerce, strategy, data, and engineering departments. Explore PlayStation data to ensure that you are using the best source of data for your analyses and maintaining awareness of any issues of interpretation that may arise. Perform ad-hoc analyses on petabytes of complex data. Learn new tools as appropriate and determine how best to convey your stories in the tools and formats that are available to you. Develop a thorough understanding of the business, our products, partners, and users, how information flows through the company, and how the PDS team contributes to and supplements that flow. Provide critical information to diverse audiences to inform decision making, increase understanding of our ecosystem, and inspire action and innovation. Required Skills and Qualifications: Strong understanding of data manipulation techniques, including intermediate or advanced understanding of SQL and Python or other similar languages. Excellent data storytelling skills, with the ability to translate complex data into clear, engaging, insightful narratives. Strong analytical and problem solving skills. Proficiency with data visualization tools. Experience working with large, complex datasets. Keen sense of what data stories should be told and how to tell them. Excellent communication and interpersonal skills and the desire and ability to work collaboratively with people from different areas of expertise and build and maintain relationships with a variety of partners and internal customers. Strong business sense and interest in what we do and how we do it. Ability to adapt your thinking when faced with new evidence. Preferred Qualifications: Knowledge of the gaming industry or related domain areas (e.g., media or entertainment). Familiarity with Streamlit or similar frameworks. Experience working closely with data scientists and/or data engineers. Experience working in a global environment. Ability to influence without authority. *PlayStation offers a global hybrid office/remote working model - Flex Modes - which aims to combine the flexibility of remote working with the magic of in-person collaboration. The model is built upon the principle of working together in-person as work requires, with the freedom to work remotely otherwise. We will consider fully remote candidates who are able to come in for 'Moments that Matter'. #LI-KD1 Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below.$182,500-$273,700 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Senior Data Scientist - Experimentation & Measurement San Mateo, CA Overview: As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of PS4 to PS5 user migration initiatives, growth marketing strategies, and broader campaign performance. This role is focused on advancing our experimentation practices-bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across PlayStation. What You'll Be Doing: Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives (PS4 to PS5), growth marketing strategies, and campaign performance. Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles. Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. Apply advanced causal inference methods when experimentation isn't feasible or to inform test design and prioritization. Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team's work. Basic Requirements: Master's or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered. 5+ years of experience in a data science experimentation-focused role (3+ with PhD). Deep expertise in A/B testing and causal inference, including quasi-experimental methods. Proficiency in SQL for data extraction and transformation. Proficiency in Python, including statistical and data science libraries. Broad and applied knowledge of statistical techniques and machine learning modeling methods. Proven ability to influence product and business decisions through clear, actionable insights. Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior. #LI-KC Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below.$178,900-$268,300 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Planview has one mission: to build the future of connected work, from ideas to impact. As the global leader in work and resource management, Planview helps organizations accelerate the achievement of what matters most, supporting our customers from need to speed, from passion to progress, and from overhead to optimization. We provide the industry's most comprehensive solutions designed for strategic planning, portfolio and resource management, Lean and Agile delivery, product portfolio management, capability, and technology management (enterprise architecture), innovation management, and collaborative work and project management. Our connected platform of solutions underpins the business and digital transformations of more than 4,500 customers globally, including 59 of the Fortune 100. At Planview, our people connections drive our innovation and success. Our global team of 1400+ work remotely and across our offices including Austin, Vancouver, Hod Hasharon, Bangalore, Sydney, and Stockholm. We're proud of our world-class, connected culture built on our shared values, that supports our teams to be successful from anywhere. Learn more about our portfolio at planview.com, and connect with us on LinkedIn, Instagram, and X. The Opportunity Join our team as a Data Scientist to help integrate data science capabilities within Planview's project management and planning solutions. You will contribute to data collection and analysis, build predictive models, and work with Generative AI technologies. #LI-CG1 #LI-Hybrid What You'll Do Responsibilities: * AI Engineering: Design and implement AI-powered features to enhance project planning and resource management. Work with Large Language Models and generative AI to automate workflows and provide intelligent recommendations to users. * Data Engineering: Extract, transform, and derive features from raw data to improve machine learning model performance. * Predictive Modeling: Build, test, and refine models to predict task completion times and project outcomes. * Collaboration: Work closely with cross-functional teams including product managers, engineers, and fellow data scientists to integrate solutions into our products. What You'll Bring Required Qualifications: * Master's degree in Industrial Engineering, Operations Research, Statistics, Data Science, or a related field. * Proficiency in Python and SQL, along with familiarity with libraries such as pandas and scikit-learn. * Demonstrated experience in translating customer challenges into data-driven product enhancements. * Strong knowledge of machine learning algorithms and statistical methodologies. * Strong written and verbal communication skills. Preferred Qualifications: * Familiarity with project management frameworks like Agile, Scrum, or Waterfall. * Hands-on experience with AWS tools such as Athena, SageMaker, and Bedrock. * Experience building with Large Language Models * Basic understanding of knowledge graphs and ontologies Benefits at Planview At Planview, you'll join our global team and culture which reflects the vibrant communities in which our employees live and work. To support you at Planview, you will enjoy: * Unplugged Days: 4 company-wide paid days off per year to recharge and relax. * Generous PTO offerings (region dependent). * Region specific competitive benefit plans to support you at any life stage including parental leave, retirement, medical plans, wellness support, and remote work support. * Paid time to volunteer through Planview's Force for Good Week. * Employee Referral bonus program. * Weekly office lunches for hybrid team members and social events. * Flexible work hours/environment. Now is a great time to join our team. If you are looking for a place to grow your career, innovate with best-in-class solutions, and build the future of connected work, Planview is the right place for you! Equal Employment Opportunity at Planview Planview 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, marital status, disability, gender identity or Veteran status. As part of our efforts to build a diverse workforce, we encourage applications from Indigenous, Black, and other racialized communities, 2SLGBTQIA+ communities, people with neurodivergence, immigrants, people with disabilities, and other equity deserving groups. In addition to building a diverse workforce, we are committed to fostering an inclusive and accessible experience. Reasonable accommodations for the interview process can be requested by emailing ************************. Required Qualifications: * Master's degree in Industrial Engineering, Operations Research, Statistics, Data Science, or a related field. * Proficiency in Python and SQL, along with familiarity with libraries such as pandas and scikit-learn. * Demonstrated experience in translating customer challenges into data-driven product enhancements. * Strong knowledge of machine learning algorithms and statistical methodologies. * Strong written and verbal communication skills. Preferred Qualifications: * Familiarity with project management frameworks like Agile, Scrum, or Waterfall. * Hands-on experience with AWS tools such as Athena, SageMaker, and Bedrock. * Experience building with Large Language Models * Basic understanding of knowledge graphs and ontologies Responsibilities: * AI Engineering: Design and implement AI-powered features to enhance project planning and resource management. Work with Large Language Models and generative AI to automate workflows and provide intelligent recommendations to users. * Data Engineering: Extract, transform, and derive features from raw data to improve machine learning model performance. * Predictive Modeling: Build, test, and refine models to predict task completion times and project outcomes. * Collaboration: Work closely with cross-functional teams including product managers, engineers, and fellow data scientists to integrate solutions into our products.