We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview We are seeking a highly skilled and motivated Senior Data Scientist to join our People Analytics team. This position focuses on developing advanced predictive and prescriptive models to drive strategic insights for our organization. The ideal candidate should have robust analytical skills, be proficient in machine learning, and have experience in using HR data to provide insights that assist with business and employee decisions. Our People Analytics team, part of the broader People Services Delivery organization, plays a critical role within the overall People Team. We are a small but impactful function dedicated to leveraging data to drive strategic decisions and create value for the business. Collaborating closely with internal partners and cross-functional stakeholders, we provide insights and solutions that align with our company’s goals and enhance the employee experience. Joining our team means bringing curiosity, technical expertise, and creativity to help shape the future of our workforce through data-driven decision-making. About the Job - Build predictive models to forecast trends such as employee turnover, workforce engagement, and talent needs. - Develop prescriptive analytics solutions to inform HR strategies and optimize decision-making processes. - Analyze large datasets from various systems (e.g., Workday, Greenhouse) to uncover actionable insights. - Implement machine learning frameworks for solving HR-related challenges. - Harness insights from unstructured or qualitative data sources, such as performance reviews, annual engagement survey comments, or open-text survey responses. - Develop natural language processing (NLP) models to analyze text data and uncover trends, sentiment, or organizational themes. - Collaborate with stakeholders to define business problems, translate them into technical solutions, and communicate results effectively. - Integrate predictive outputs into Snowflake or visualization platforms like Tableau and Looker. - Partner with HR and data engineering teams to ensure seamless data pipeline management and integrity. - Maintain a strong focus on data accuracy, security, and compliance. About You Minimum Qualifications - 5+ years of experience in data science roles, preferably in HR or People Analytics. - Ability to write complex, efficient, and eloquent SQL queries to extract data - Proficiency in programming languages such as Python or R for machine learning and statistical analysis. - Experience building and deploying machine learning models (e.g., decision trees, regression, clustering). - Strong statistical and problem-solving skills, with an emphasis on feature engineering and modeling. - Familiarity with Snowflake or equivalent data warehousing platforms for model integration. - Excellent communication skills to convey technical findings to non-technical audiences Preferred Qualifications - Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. - Experience with HR-specific systems, such as Workday, Greenhouse, or LMS platforms. - Proven track record of working with HR data and metrics (e.g., turnover, performance, DEI metrics). - Familiarity with data visualization tools. - Understanding of data governance and compliance standards #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For US based candidates, the base pay ranges for a successful candidate are listed below. CA, NY, CT, NJ $194,000—$204,500 USD WA $185,000—$195,500 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $177,000—$187,000 USD All other states $161,000—$170,000 USD

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Swish Analytics is hiring Basketball Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. We're hiring a Data Scientist to support our Sports Data Models. - Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products. - Develop contextualized feature sets using sports specific domain knowledge. - Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models. - Strive to constantly improve model performance using insights from rigorous offline and online experimentation. - Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts. - Adhere to software engineering best practices and contribute to shared code repositories. - Document modeling work and present to stakeholders and other technical and non-technical partners. Qualifications - Bachelor's degree in Data Analytics, Data Science, Computer Science or related technical subject area; Masters highly preferred. - Demonstrated experience developing models at production scale for Basketball or sports betting. - Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods. - Minimum of 4+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting. - Experience with relational SQL & Python. - Experience with source control tools such as GitHub and related CI/CD processes. - Experience working in AWS environments. - Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions. - Excellent communication skills to both technical and non-technical audiences. Requirements - Base salary: Starting at $110,000. Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Entity: Oracle America, Inc. Job Duties: Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. May telecommute. (385.28104) Employer will accept a Master's degree in Computer Science, Engineering, Computer Information Systems or related technical field and 5 years of experience in the job offered or in a Data Scientist-related occupation. Position requires: - Java; - Python; - REST APIs; - Microservices; - Big Data including: HiveSQL, Spark, Elastic Cache, and Redis; - Agile Development; - Test Driven Development Junit and Selenium - Data Structures; - Databases SQL and NoSQL; and - Distributed Systems and cloud platforms (OCI). Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Learning begins in the classroom but there’s no better place to gain real-world experience than with Stantec. Interns are an integral part of our teams, working to solve some of the world's most complex challenges. As an intern, you’ll work alongside our experienced practitioners and with our clients and communities. This hands-on experience will equip you with practical skills, build your network, and provide opportunities that set you up for success. This Data Science Intern will work on a range of projects focused on the implementation and advancement of research and digital tools and technologies focused on the water, wastewater, biosolids and energy sectors. The intern will: - Work closely with Water BOU’s data strategy manager, machine learning leader, director of innovation and technology and other team members. - Collaborate with the Water OI&T research and engineering team to design and develop methodologies and systems employing data exploration (EDA), hypothesis testing and data modeling (e.g. advanced statistics, machine learning, data analytics) in digital solutions. - Contribute to initiatives such as Water BOU’s Digital Transformation and development of digital solutions to support project delivery. - Report to an Innovation Portfolio Manager in OI&T. This position can be remote. Qualifications - Strong analytical skills. - Programming knowledge and willingness to further expand knowledge capital and skill sets (e.g., python, MATLAB, etc.). - Excellent oral and written communication skills. - Excellent problem-solving skills. - Ability to independently manage multiple priorities. - Strong interpersonal skills and ability to work within all levels of an organization. - Expert level Microsoft product user; Office365 Suite. - Willingness to develop and enhance low-code/no-code skill sets. - Highly curious and willingness to take intellectual risks. - Team oriented with earnest willingness to share ideas with OI&T team and explore through quick test-and-learn approaches. Benefits - Regular full-time and part-time employees (working at least 20 hours per week) have access to medical, dental, and vision plans, a wellness program, health saving accounts, flexible spending accounts, 401(k) plan, employee stock purchase program, life and accidental death & dismemberment (AD&D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage and paid family leave. - Regular full-time and part-time employees will receive ten paid holidays in each calendar year. - Employees will be eligible to accrue vacation between 10 and 20 days per year and eligible for paid sick leave (and if more generous, in accordance with state and local law). - Temporary/casual employees have access to 401(k) plans, employee stock purchase program, and paid leave, in accordance with state and local law. - The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements.