Data science internship work from home jobs

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a Data Scientist II for Fraud, you will be responsible the development of machine learning models that improve USAA's ability to detect and prevent fraud on credit card, debit card, check, deposit, digital payments, as well as in other areas such as claims and disputes. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal fraud models in the transactions and payment space, demonstrating techniques ranging from statistics to highly sophisticated AI/ML techniques, to generate highly significant reduction in fraud losses and improvement in Member experience Work with Strategies and Model Management teams to understand and plan model needs Drives continuous innovation in modeling efforts Collaborate with the broader analytics community to share standard methodologies and techniques We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. This position can work remotely in the continental U.S. with occasional business travel. What you'll do: Captures, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes technical documents for knowledge persistence, risk management, and technical review audiences. Consults with peers for mentorship, as needed. Translates business request(s) into specific analytical questions, completing the analysis and/or modeling, and presenting outcomes to non-technical business colleagues. Consults with Data Engineering, IT, the business, and other internal partners to deploy analytical solutions that are aligned with the customer's vision and specifications and consistent with modeling best practices and model risk management standards. Seeks opportunities and materials to learn new techniques, technologies, and methodologies. Ensures risks associated with business activities are optimally identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 2 years of experience in predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field Experience in training and validating statistical, physical, machine learning, and other sophisticated analytics models. Experience in one or more multifaceted scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Ability to write code that is easy to follow, well detailed, and commented where vital to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Familiarity with performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Ability to communicate analytical and modeling results to non-technical business partners. What sets you apart: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Experience in fraud/financial crimes model development Compensation range: The salary range for this position is: $93,770 - $168,790. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. 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.

, Inc. Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco. About the Team At Stitch Fix, we are at the forefront of innovation, creating cutting-edge solutions that blend fashion, technology, and data science. Our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. The Recommendation Algos team leverages personalization algorithms to power the Fix experience, which involves a combination of modeling style, diversity, long-term client behavior, and expanding Stitch Fix's total addressable market. In doing so, this team builds assortments that delight our clients while at the same time explore a client's stylistic preferences and drive client engagement. About the Role In this role, you will contribute to building the future of personalized apparel shopping by thoughtfully combining algorithms with product innovation. A key area of focus is the continued improvement of the quality of recommended assortments along various dimensions, including seasonality, diversity, and freshness. A secondary area is the ability to deliver high-quality recommendations in real time to engage and delight new clients and therefore expand our total addressable market. This role has a tremendous and direct impact on the business' bottom line and provides a unique opportunity to work cross-functionally across Strategy, Product, Merchandising, Styling, Marketing, and Engineering stakeholders. You're excited about this opportunity because you will… Support and execute the strategic vision of recommendation approaches for both algorithmically-generated assortments as well as human-in-the-loop augmented recommendations Manage experiments to test new features, including any communication of the experiments' results to stakeholders, and support the eventual launch of the feature Solve problems related to recommendation ranking and assortment generation. Modeling tools could include deep learning, weighted re-ranking, gen AI, or any other state of the art technique. Productionize models and systems partnering with our data platform team for real-time applications Leverage unique data about our clients, our merchandise, and their interactions to identify and solve client needs Work with our product, product design, and engineering teams to create roadmaps for developing new client products, user features, data flywheels, and infrastructure We're excited about you because… You have a solid understanding in modeling and experimentation You have led end-to-end machine learning and data projects, from inception to production and are proficient in deploying apps in Python You have a degree in a quantitative field such as Computer Science, Statistics, Physics or a related field. You have strong cross-functional, communication skills that help simplify and move complex problems forward with business partners You are a compassionate team player and you see your growth and success entangled with the growth and success of your peers You are innovative and inspired to take on new challenges and you do not shy away from potential failure You think about ethics in AI, the impact of machine learning on society, and want to bring that to bear in our work here Why you'll love working at Stitch Fix... We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You'll bring these characteristics to life in everything you do at Stitch Fix. We cultivate a community of diverse perspectives- all voices are heard and valued. We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. We win as a team, commit to our work, and celebrate grit together because we value strong relationships. We boldly create the future while keeping equity and sustainability at the center of all that we do. We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact. We offer comprehensive compensation packages and inclusive health and wellness benefits. Compensation and Benefits This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone's compensation-including a candidate's professional background, experience, location, and performance.This position is eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site. Salary Range$153,700-$226,000 USD This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data. Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: ****************************************************************

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics, and software. We also assist millions of people in realizing their financial goals and saving time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data and to innovate. We're focused on powering opportunities, which is why the Experian Summer Internship Program gives students across the country the chance to apply their education to real-world challenges through meaningful, hands-on projects. Rooted in our 'People First' philosophy, our interns experience firsthand our commitment to personal and professional development. Proudly named one of the Top 100 Internship Programs three years in a row, we invite you to join us and explore your potential with a team that's invested in your growth. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 25,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. You will join Experian's R&D Lab, developing analytical solutions by applying new technologies, including Quantum Computing. Responsibilities: + Apply ML, data mining, or text mining techniques to extract data insights and solve complex business issues + Design data structures and storage schemes for efficient handling + Explore and improve the application of Quantum Computing for fraud detection, digital marketing and finance forecasting + Conduct Return on investment and benefit analysis + Document and present model process and model performance + Currently enrolled in a PhD degree program in CS, Physics, or a related field + Return to school in Fall 2026 to complete degree + Experience in analytics, data mining, or predictive modeling + Experience with regression, Neural Network, or ensemble methods + Proficient in Python, R, Java, C++, or C + Experience with Generative AI and algorithms/applications of Quantum Computing Benefits/Perks: + Fully remote + Volunteer Time Off + Great compensation + Flexible work schedule + Eligible for 401(k) participation in 90 days At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Our compensation reflects the cost of labor across several U.S. geographic markets. The hourly pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Remote #EarlyCareers

As the only user-focused observability solution built on OpenTelemetry, Embrace delivers crucial insights across both DevOps, web and mobile teams to illuminate real customer impact - not just server impact - to deliver the best app experiences. Customers like The New York Times, Marriott, Masterclass, Home Depot, and Cameo love Embrace's observability platform because it makes extremely complicated and voluminous data actionable. Our cultural values highlight how we seek to improve as individuals, team members, and a company each and every day. About the Role We're looking for a Data Science Intern to join our team for a 3-month internship focused on uncovering patterns and insights within the billions of mobile and web events that Embrace collects on behalf of its customers' apps. You'll work closely with our product and engineering teams to design and prototype models that detect valuable patterns in user behavior, app performance, and telemetry data-and help translate those ideas into product features that empower web and mobile developers to build better experiences. This is a hands-on, high-impact internship where you'll gain experience applying modern data science and machine learning techniques to large-scale real-world data. What You'll Do Explore, analyze, and visualize large datasets from mobile + web observability data and user session data Develop statistical measures and applied models to identify meaningful classifications, trends, anomalies, or predictive signals in event data Partner with Embrace staff (product + data science) to prioritize research projects and translate research insights into potential product features Present findings to technical and non-technical audiences Contribute to documentation, reproducible notebooks, and internal demos Basic Qualifications Currently enrolled in a Master's program in Data Science, Computer Science, or a related quantitative field Proficient in Python and familiar with key data science frameworks E.g. Pandas/Polars, NumPy, scikit-learn, data visualization libraries such as matplotlib or seaborn Foundational understanding of machine learning concepts (supervised, unsupervised, feature engineering, evaluation metrics) Ability to query and manipulate large datasets using SQL or PySpark Strong analytical and problem-solving skills with attention to detail Excellent written and verbal communication skills Curiosity and enthusiasm for working with large-scale, real-world data Preferred Qualifications Experience working with time-series or event-based data Experience with data visualization tools (e.g., Plotly, Dash, Streamlit, or similar) Familiarity with non-parametric statistics on event-based data Familiarity with deep learning frameworks like PyTorch or TensorFlow and judgement on when to use them Familiarity with cloud data ecosystems (e.g., ClickHouse, Snowflake, BigQuery, AWS, or GCP) Contributions to open-source projects or independent research projects Excitement about learning from experienced engineers and seeing your work influence product direction A love of discovering patterns - and maybe also of Star Wars (or Star Trek ) Compensation: This is a paid internship with an expected hourly rate of $23-$27/hour, depending on experience and program level.

Hiring Manager: COO - ADL Mentor: Data Science Team (Candidates must currently reside in the United States and be authorized to work here. We are unable to consider applicants located outside the U.S. or candidates who would require current or future sponsorship at this time.) Full Time up to 40 hours per week This is a twelve (12) week internship program starting in May 2026. You must be enrolled in college during the internship with a graduation date after August 2026. Company Overview Ever.Ag offers innovative AgTech solutions and services that empower agriculture, food, and beverage supply chains to feed a growing world. The breadth of the portfolio is uniquely capable of supporting the complex needs of companies involved in dairy, livestock, crops, and agribusiness. With decades of experience and industry-leading innovations, our technology, risk management, and market intelligence provide our customers with the tools and insights they need to operate more efficiently, sustainably, and strategically across every stage of the supply chain. To learn more, visit News.Ever.Ag. Summary This position is for a 12 week internship within the Data Science team at Ever.ag. The goal would be to assist the data science team in their continued development and deployment of leading data science applications in the food production supply chain space. What are some potential projects? The project(s) will vary depending on the research and customer projects that current when the intern joins the team. Likely projects / work streams will include: Cleaning and analyzing large complex data sets for commodity food processor to provide insights to customers regarding potential production improvements Working with services and ADL data scientists to understand and document customer problems and translate this into application development and data science requirements Assess cutting edge machine learning techniques in the analysis of large complex data sets for food production companies Develop data science forecasting techniques to improve commodity forecasting accuracy Other duties as assigned What competencies can you expect to receive/improve? Improve technical skills regarding the parsing and analysis of large complex data sets. In particular develop a good understanding of the use of modern data analysis techniques including PYTHON, SQL, R and others Improve presentation skills by summarizing complex data analysis for the understanding of senior executives Appreciate the development of robust production software applications from design to testing and release Hone skills in the general data science field About You (Qualifications): Candidates must be pursuing a bachelors degree or higher in applied science or mathematics or similar from an accredited college or university with a graduation date after August 2026. Should have a real interest in the application of modern math techniques in the advancement of data science research An interest in continuous production and food processing is useful Comfort in taking disparate and complex data sets and refining them into useful, practical insights is helpful About the team: Ever.Ag Data Science lead the industry in applying modern data science and leading research techniques to the world of food processing and production. The team is intellectually curious, and passionate about solving complex real-world problems with practical solutions and applications. We foster a collegiate team culture - recognizing that no one person has all of the answers and that the collective design and solutioning process helps develop a better solution for the customer What you will experience Work on increasingly challenging and engaging real-world projects Gain hands-on experience Collaborate with experienced professionals A casual team environment with colleagues who enjoy working with each other and what they do. Teamwork matters. A bottom-up organization with direct access to the firms' principals, avoiding the bureaucracy that slows down large organizations Our Corporate Values Honesty, Integrity and Trustworthiness - We build trust through transparency and openness. We communicate authentically. Serve our Customers and Each Other - We go above and beyond for our customers, our people and our community. We put our customers at the heart of the business. Embrace Change and a Pioneering Attitude - We have a growth mindset. We innovate and continuously improve. We embrace change with curiosity. Whatever it Takes - We have a can-do spirit. As challenges arise, we run towards them to deliver results. Passion For Excellence - Great isn't good enough. We have high standards, and we continuously strive to improve. Team Player - No egos here. Working together is how we win. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identify or expression, or veteran status. We are proud to be an equal opportunity workplace in hiring and growth opportunities. We are not able to support sponsorship for employment at this time. Who you will be working for Ever.Ag offers innovative AgTech solutions and services that empower agriculture, food, and beverage supply chains to feed a growing world. The breadth of the portfolio is uniquely capable of supporting the complex needs of companies involved in dairy, livestock, crops, and agribusiness. With decades of experience and industry-leading innovations, our technology, risk management, and market intelligence provide our customers with the tools and insights they need to operate more efficiently, sustainably, and strategically across every stage of the supply chain. We welcome candidates from all backgrounds to contribute their unique perspectives to our team. Your success is our success! Please visit our webpage to learn more about us News.Ever.Ag and ********************

Join the People Helping People Velera is the nation's premier payments credit union service organization (CUSO) and an integrated fintech solutions provider. The company serves more than 4,000 financial institutions throughout North America, operating with velocity to help our clients keep pace with the rapid momentum of change and fuel growth in the new era of financial services. Our purpose: We accelerate partners' success through innovative financial technology solutions and inspired service. Our Program: When selecting a company for your career are you someone that values bettering communities and the people that live in those communities? Are you looking for an organization that is leading in its industry and continues to grow and innovate based on client needs and industry trends? Does the idea of outstanding team culture and a career that fits your life and goals exciting? Velera's Summer Internship Program provides you - a junior or senior undergraduate student - with the chance to develop and hone your skills in business. We offer the opportunity to build for your future by learning firsthand the Financial and more specifically Credit Union industry through professional inter-organizational experience, coupled with focused learning opportunities in your chosen career path or developmental interest. You'll also gain insight into our rich history, our unique culture, and our committed social conscience. Over the course of this 10-week program, it is VELERA's goal to provide our interns not only with a real job experience that better prepares future graduates for their chosen profession, but to provide them the knowledge and experience vital to navigate a business environment. In our program, interns will engage with a group of their peers in acquiring a knowledge foundation in Credit Unions, the financial industry, Six Sigma, preparing for a job search, presentation skills, and more. You will also be given opportunities to network directly with industry leaders at Velera. Velera Intern Program Entry Qualifications: Completion of sophomore or junior year in an accredited undergraduate degree program with a 3.0/4.0 GPA at time of application. Outstanding verbal and written communication skills, with the ability to coordinate thoughts, communicate, completely, and concisely. Strong, organizational, and detail skills, with the ability to consistently perform as business requests. Strong critical thinking, problem-solving, and cross-functional collaboration skills. Ability to adjust easily when directions and priorities change on short notice. Proficiency in MS Office Suite with a heavy emphasis on Excel. Proficiency in software that applies to your major and function-specific internship. Passion for learning the Credit Union Industry. Believe in Velera's culture and values. Ideal candidates have passion for their community as well as a commitment to diversity, equity, and inclusion. The Opportunity: The Velera Data Science team is looking for a talented and motivated person to fill the role of data science intern. The ideal candidate will work on challenging problems in the financial technology space and bring a mix of curiosity, attention to detail, and innovation to the team. Responsibilities include: Support efforts to collect, clean, and validate data Contribute to quantitative and/or qualitative analysis using statistical techniques and methods Contribute to the training and testing of machine learning models Analyze and visualize data for presentation to key stakeholders The Ideal candidate will possess many of the following qualifications: Currently enrolled in a BS/MS/PhD or equivalent program in Computer Science, Applied Mathematics, Mathematics, Statistics, Physics or similar program Experience with big data platforms such as Databricks or Snowflake preferred SQL skills Understanding of ML algorithms such as XGBoost, DBScan, LSTMs, etc. Understanding of Generative AI models such as GANs, LLMs, etc. Proficiency in one of the following programming languages: R, Python, Scala Experience with open source development tools (e.g., Git, PyCharm, Maven) Experience developing in notebook environments #LI-LM1 About Velera At Velera we are committed to fostering a workplace where every employee feels valued, respected, and connected. We understand, attract and engage a diverse workforce where every employee can live up to their full potential; ensuring that our employee base reflects the consumers we serve. The result of this effort is an inclusive environment where diverse talent thrives. We strive to foster a safe and inclusive work environment for people to bring their authentic selves in order to build a better community within our company and with our partners. Learn more about our commitment to Diversity, Equity, and Inclusion HERE! Pay Equity $20.00 - $20.00 Actual Pay will be adjusted based on experience and other job-related factors permitted by law. Great Work/Life Benefits! Competitive wages Medical with telemedicine Dental and Vision Basic and Optional Life Insurance Paid Time Off (PTO) Maternity, Parental, Family Care Community Volunteer Time Off 12 Paid Holidays Company Paid Disability Insurance 401k (with employer match) Health Savings Accounts (HSA) with company provided contributions Flexible Spending Accounts (FSA) Supplemental Insurance Mental Health and Well-being: Employee Assistance Program (EAP) Tuition Reimbursement Wellness program Benefits are subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions Velera is an Equal Opportunity Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law. Velera is an Equal Opportunity Employer that complies with the laws and regulations set forth in the following "EEO is the Law" Poster . Velera will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the legal duty to furnish information. Velera is an E-Verify Employer. Review the E-Verify Poster here . For information regarding your Right To Work, please click here . This role is currently not eligible for sponsorship. As an ongoing commitment to reasonably accommodate individuals with disabilities please contact a recruiter at ********************* for assistance.

ABOUT SULLIVANCOTTER SullivanCotter partners with health care and other not-for-profit organizations to enhance performance and improve outcomes through the development and implementation of integrated workforce strategies. Using our time-tested methodologies and industry-leading research and information, we provide data-driven insights, expertise, and solutions to help organizations align business strategy and performance objectives - enabling our clients to deliver on their mission, vision and values. As an Intern at SullivanCotter, you will have the unique opportunity to gain valuable hands-on experience working alongside our data strategy and product development teams. These teams are at the forefront of solving physician and advanced practice provider (APP) workforce challenges through the innovative use of data and technology. Currently, the teams are developing a market-leading Software-as-a-Service (SaaS) product and applying data science techniques to gather insights and knowledge from the data. You will work closely with our Physician and Advanced Practice Provider (APP) workforce consultants, contributing to the alignment of workstreams and product development efforts to meet the evolving needs of our target consumers. Throughout this internship, you will have the chance to enhance your skills in data analysis, product development, and problem-solving, while also gaining exposure to the latest trends and best practices in the health care workforce industry. This is an exciting opportunity to be part of a dynamic and forward-thinking team, where your ideas and contributions will be valued and can make a tangible impact. You will collaborate with experienced professionals, learn from their expertise, and contribute to projects that drive real-world solutions. This is a remote role; however, we currently operate in the following states: AZ, FL, GA, ID, IL, IN, MA, MI, MN, MO, NC, NJ, NY, OH, PA, SC, TX, VA, and WI. You must reside in one of these states in the summer of 2026 to be eligible for this role. PRIMARY DUTIES AND RESPONSIBILITIES As a Data Strategy Intern, you will work alongside multiple data strategy team members on various projects, contributing to a range of ongoing initiatives. During this internship, you will have the opportunity to assist select team members and contribute to one or more of the following key initiatives: SaaS Product Development: Assist in the development of a new Software-as-a-Service (SaaS) product designed to streamline Physician and APP workforce management processes. Data Insights: Apply data science techniques to glean knowledge and equip our Physician and APP workforce consultants with actionable insights, empowering data-driven decision-making. Data Visualization: Create insightful visualizations to aid in enhanced understanding and increased transparency of data and knowledge. Product Alignment: Collaborate with cross-functional teams to align workstreams and product development efforts, ensuring our solutions effectively meet the evolving needs of our target consumer base. Data Preparation: Collect, prepare, and preprocess large datasets from various sources, ensuring data quality, consistency, and readiness for analysis and visualization. Stakeholder Communication: Develop compelling visualizations and presentations to effectively communicate complex findings and recommendations to stakeholders across the organization. Educational Module: Contribute to the creation of an educational module that provides an overview of data science principles and best practices in data visualization, fostering knowledge-sharing within the team. User Experience Enhancement: Evaluate and identify opportunities to improve the user experience (UX) effectiveness of existing applications, ensuring intuitive and user-friendly interfaces. Through these initiatives, you will gain hands-on experience in various aspects of data strategy, product development, and workforce consulting, while contributing to solutions that drive meaningful impact in the healthcare industry. PREFERRED QUALIFICATIONS Pursuing an undergraduate degree with the expectation to graduate from a school of computer or information science with a focus in one or more areas: data science, data visualization, and/or product development. Minimum GPA of 3.25. Experience with data analysis and/or visualization tools such as Power BI, Python, R, Tableau and Figma. Familiarity with Microsoft Office suite (Excel, Word, PowerPoint). Strong analytical, critical thinking, and problem-solving skills. Ability to gather, analyze, and organize data systematically. Excellent verbal and written communication skills. Ascertain relevant and irrelevant data when conducting analytical work. Recognize patterns and issues in sets of data. Strong organizational skills and ability to manage multiple projects in a fast-paced environment. Attention to detail. BEHAVIORAL ATTRIBUTES Self-motivated and able to work independently or in a team. Flexibility, adaptability, and ability to work under tight deadlines or changes in scope. Exceptional collaboration and teamwork skills. Intellectually curious and proactively demonstrate a passion for continuous learning, and a desire for diversity in thought, experience, and ideas. Commit to delivering work on time with the highest level of quality. Self-reflect and actively participate in your own development, as well as the development of others. Communicate openly and directly with team members. Have a sense of humor and be yourself. Start Date: Monday, June 1st, 2026 End Date: Friday, August 14th, 2026 WORK ENVIRONMENT This role is fully remote. Must be physically able to perform the essential functions of the job. This role will pay $30 per hour. Our Values in Action: How We CARE We live our values daily through four commitments: Connect: Collaborate selflessly to support others, advance ideas, and solve problems using critical thinking. Act: Bring integrity and respect to every interaction-no exceptions. Reach: Commit to continuous learning and knowledge sharing that strengthens teams and clients. Embrace: Foster inclusion and belonging so everyone can thrive and contribute. SullivanCotter Holdings, Inc. is an Equal Employment Opportunity/Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law or marital status.

We are a hybrid, remote-office company dedicated to growing our talent anywhere! We have onsite locations in: Sioux Falls, SD, Scottsdale, AZ, Louisville, KY, Troy, MI, Franklin, TN, Easton, PA. At Pathward, we take tremendous pride in our purpose to create financial inclusion for all™. We are a financial empowerment company that works with innovators to increase financial availability, choice, and opportunity for all. We strive to remove barriers that traditional institutions put in the way of financial access, and promote economic mobility by providing responsible, secure, high quality financial products. We are a team of problem solvers and innovators who celebrate our differences and know that our unique perspectives make us stronger and well-positioned for success. We celebrate, and embrace, our team members through our *HUMBLE*HUNGRY*SMART approach, and we believe that we are strongest when we embrace the voices of our employees, customers, partners, and the communities we serve. About the Role: Develop and program methods, processes, and systems to consolidate and analyze diverse data sets to generate insights and solutions for customer solutions and program enhancement. Identify and interpret insights from data sources and communicate findings to management. What You Will Do: Gather, clean, and preprocess data from various sources to ensure its quality and usability for analysis. Analyze data using statistical methods and tools to identify trends, patterns, and insights that can inform business decisions. Develop predictive and prescriptive models to forecast future outcomes and optimize business processes. Create reports and visualizations to effectively communicate findings to stakeholders and support decision-making. Work closely with business units to understand their data needs and provide actionable insights that drive strategic initiatives. Monitor and evaluate the performance of implemented models and strategies, adjusting as necessary to improve outcomes. Conduct ad hoc analyses to support various business needs and answer specific questions as they arise. Stay updated with the latest trends and technologies in data analytics and continuously improve analytical methods and processes. Other duties as assigned. What You Will Need: Pursuing a Bachelors' degree in a related field. Record of achievement (academic or otherwise) The responsibilities listed above are not all inclusive and may be changed at any time. Salary range: $14 hourly - $23 hourly The salary range reflects the minimum and maximum target for a new hire in this role. Individual pay within the range will be determined by multiple factors which can include but are not limited to a candidate's experience, qualifications, skills, and location. Your recruiter can share more about the specific salary for your location during the hiring process. Ranges may be modified in the future. This role is also eligible for an annual performance-based incentive opportunity. Pathward offers a comprehensive benefits package for eligible employees, including health insurance, 401(k) retirement benefits, life insurance, disability benefits, paid time off, and more. #LI-Remote Don't have everything listed under qualifications? If you're excited about this role but your experiences don't match exactly to everything in the posting, we encourage you to apply anyway. You may be just the right candidate for this or other Pathward roles. Pathward is an equal employment opportunity employer and considers candidates for roles without regard to their race, sex, national origin, ethnicity, age, disability or any other category protected by law. Who we are: Our commitment to inclusion is woven into our DNA. We believe that we are strongest when we embrace the voices of our employees, customers, partners, and the communities we serve. We provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity, transgender status, pregnancy, national origin, age (age 40 and over), disability, genetic information, marital status, hair texture or hairstyle, ancestry, service in the uniformed services, protected veteran status, status as a victim of domestic violence or any other class protected by federal, state and local laws. Please click here to learn more about our benefits and review information about our Privacy Policy, Affirmative Action Plan and other notices. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. For assistance completing an application, please contact a Pathward People & Culture Representative by emailing - ******************** Please click here to view Pathward's Applicant Privacy Notice. Applications will be accepted for a minimum of 3 days after posting, and there is no predetermined date by which applications should be submitted. Knowingly submitting false information will result in disqualification for consideration of future positions, termination of employment and forfeiture of other rights. Candidate Scam Warning We encourage you to be cautious of hiring scams that impersonate Pathward. Copy and paste the following URL into your browser to learn more: *********************************************************

Let's build the future of medicine - together. Join Enveda as a Data Science Intern in a remote position and help us transform natural compounds into life-changing medicines. We're a team driven by curiosity and innovation - are you ready to make a difference? Remote | Internship | US Compensation: Undergrad ($1125/week), Masters ($1250/week), Phd ($1500/week) What Makes Us EnvedaLife is smart, and we can learn from it. We're reinventing drug discovery by harnessing nature's intelligence. Our platform identifies new medicines four times faster than the industry standard because patients can't wait. What sets Enveda apart isn't just what we do - it's how we do it. Our culture is built on creativity, collaboration, and deep respect for each other. We believe “People Create All Value”, and our success is driven by the extraordinary team turning our mission into reality every day. We're proud of the momentum we've built: - Jan 2024: Named a LinkedIn “Top Startup to Watch” - Mar 2024 & Mar 2025: Forbes America's Best Startup Employers - Oct 2024: First drug to Phase 1 Clinical Trials - Aug 2025: Raised 150M Series D, gaining Unicorn status These milestones reflect the impact of our team and we're just getting started, but they're only possible because of the diverse talent, perspectives, and relentless drive of our team, and people like you. Your Role in Our MissionAt Enveda, every role drives impact. As a Data Science Intern, you'll be at the forefront of delivering hope to patients everywhere. Your expertise in data analysis, machine learning, and computational biology will be critical in accelerating our mission to develop data-driven solutions tailored toward the drug discovery industry because every breakthrough starts with bold questions and brave actions.What You'll Do Collaborate on machine learning for mass spectrometry Engage in computational biology and chemistry projects Convey scientific results via data visualization and writing We're Looking For Strong scientific reasoning, analysis, and research skills Proficiency in the Python data science stack (Pandas, NumPy, PyTorch, etc.) Experience with biomedical data (preferably metabolomics) This position is a remote, US based role. Qualified candidates based in North America will also be considered. If you're passionate about innovation and impact, we encourage you to apply even if you don't meet every requirement. Our Values: Curiosity | Agency | Journey | Charity | Unity Benefits: Work-Life Harmony | Collaborative Culture Enveda is protecting Job Seekers:We care deeply about creating a safe, respectful experience for every applicant, so we wanted to share a few guidelines to help you spot anything that doesn't feel right. --You'll always meet real Enveda team members through video or in-person conversations before receiving an offer. --All communication from us will come from an @enveda.com or @envedabio.com email address. --We'll never ask you to purchase equipment, send money, or share sensitive banking details as part of any step in our recruiting process. If something feels off or you're unsure whether a message is truly from Enveda, please reach out at anytime at [email protected]. At Enveda, we're building a place where everyone can do the best work of their life. We are an equal opportunity employer and value diversity in all its forms. Apply now and join a team committed to shaping the future of drug discovery.

Let's build the future of medicine - together. Join Enveda as a Data Science Intern in a remote position and help us transform natural compounds into life-changing medicines. We're a team driven by curiosity and innovation - are you ready to make a difference? Remote | Internship | US Compensation: Undergrad ($1125/week), Masters ($1250/week), Phd ($1500/week) What Makes Us Enveda Life is smart, and we can learn from it. We're reinventing drug discovery by harnessing nature's intelligence. Our platform identifies new medicines four times faster than the industry standard because patients can't wait. What sets Enveda apart isn't just what we do - it's how we do it. Our culture is built on creativity, collaboration, and deep respect for each other. We believe "People Create All Value", and our success is driven by the extraordinary team turning our mission into reality every day. We're proud of the momentum we've built: * Jan 2024: Named a LinkedIn "Top Startup to Watch" * Mar 2024 & Mar 2025: Forbes America's Best Startup Employers * Oct 2024: First drug to Phase 1 Clinical Trials * Aug 2025: Raised 150M Series D, gaining Unicorn status These milestones reflect the impact of our team and we're just getting started, but they're only possible because of the diverse talent, perspectives, and relentless drive of our team, and people like you. Your Role in Our Mission At Enveda, every role drives impact. As a Data Science Intern, you'll be at the forefront of delivering hope to patients everywhere. Your expertise in data analysis, machine learning, and computational biology will be critical in accelerating our mission to develop data-driven solutions tailored toward the drug discovery industry because every breakthrough starts with bold questions and brave actions. What You'll Do * Collaborate on machine learning for mass spectrometry * Engage in computational biology and chemistry projects * Convey scientific results via data visualization and writing We're Looking For * Strong scientific reasoning, analysis, and research skills * Proficiency in the Python data science stack (Pandas, NumPy, PyTorch, etc.) * Experience with biomedical data (preferably metabolomics) This position is a remote, US based role. Qualified candidates based in North America will also be considered. If you're passionate about innovation and impact, we encourage you to apply even if you don't meet every requirement. Our Values: Curiosity | Agency | Journey | Charity | Unity Benefits: Work-Life Harmony | Collaborative Culture Enveda is protecting Job Seekers: We care deeply about creating a safe, respectful experience for every applicant, so we wanted to share a few guidelines to help you spot anything that doesn't feel right. * -You'll always meet real Enveda team members through video or in-person conversations before receiving an offer. * -All communication from us will come from ************** ***************** email address. * -We'll never ask you to purchase equipment, send money, or share sensitive banking details as part of any step in our recruiting process. If something feels off or you're unsure whether a message is truly from Enveda, please reach out at anytime at [email protected]. At Enveda, we're building a place where everyone can do the best work of their life. We are an equal opportunity employer and value diversity in all its forms. Apply now and join a team committed to shaping the future of drug discovery.

Role Description We're looking for a Staff Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the Core Experience and Artificial Intelligence (AI) areas. This area focuses on improving key part of the core product through re-envisioning the home experience, cross platform experience, user onboarding, and building new functionality and launching high impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behavior analysis, and customer segmentation. We're looking for someone who can bring opinions and strong narrative framing to proactively influence the business. Responsibilities Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data. Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 8+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Strong leadership and influence skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$197,400-$267,000 USDUS Zone 3$175,400-$237,400 USD

Job Description Why Work at Mercer Advisors? For 40 years, Mercer Advisors has worked with families to help them amplify and simplify their financial lives. How? By integrating financial planning, investment management, tax, estate, insurance, and more, all managed by a single team. Today we proudly serve over 31,300 families in more than 90 cities across the U.S. Ranked the #1 RIA Firm in the nation by Barron's, we are an independent, national fiduciary legally obligated to always act in the best interest of our clients.* Mercer Advisors offers a distinct work environment that stands out in the financial industry. Our overall employee base and client-facing team are composed of 50% women, reflecting our commitment to diversity. We attract top talent from across the country, with no formal headquarters and flexible working arrangements, allowing us to assemble the best team possible. Join us and be a part of a team dedicated to making a meaningful impact on the financial lives of families across the country. * Mercer Advisors was ranked #1 for RIA firms with up to $70 billion in assets. The Barron's top RIA ranking is based on a combination of metrics - including size, growth, service quality, technology, succession planning and others. No fee was paid for participation in the ranking, however, Mercer Advisors has paid a fee to Barron's to use the ranking in marketing. Please see important information about the ranking criteria methodology here. Job Summary: As a Data intern, you will work collaboratively with fellow colleagues at Mercer Advisors to contribute to critical data projects. As a Data Intern, you can work on various initiatives such as customer attrition analysis, document data models, analytics and AI, and more. Your internship will be filled with opportunities for professional development, mentorship, the chance to apply coursework to real-world experiences, and some fun, too! Essential Job Functions: Collaborate with the data team to develop and implement predictive models for customer attrition analysis. Assist in designing and implementing document models to extract valuable insights from unstructured data sources. Conduct exploratory data analysis to identify patterns, trends, and correlations within large datasets. Support data cleansing, preprocessing, and feature engineering tasks to ensure data quality and relevance for analysis. Communicate findings and insights effectively through visualizations, reports, and presentations. Stay updated on industry trends, best practices, and emerging technologies in data science and analytics. Required Knowledge, Skills and Abilities: Must be enrolled in a Bachelors (as a rising Sophomore, Junior, or Senior) or Master's program in Statistics, Data Science, Mathematics, Computer Science or a related field Solid understanding of data science concepts and techniques, including machine learning, statistical analysis, and data visualization. Proficiency in programming languages such as Python or R for data manipulation and analysis. Familiarity with data manipulation libraries (e.g., pandas, NumPy), machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), and data visualization tools (e.g., Matplotlib, Seaborn, Plotly). Strong analytical and problem-solving skills, with the ability to translate business requirements into data-driven solutions. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Prior experience or coursework in finance, economics, or related fields is a plus. Working Conditions: Professional office environment, daytime hours, working inside, standing, and sitting, will be assigned to a workstation. Location: This is a remote position. Work Schedule: This is a part-time internship during the spring semester. The intern will be able to work up to 20 hours per week. Duration: The internship will be 10 weeks long. We are looking for an intern to start with us during the 2026 Summer session. Benefits: Mercer Advisors offers a competitive and robust benefit package to our employees. Our benefit programs are focused on meeting all of our employees and their eligible dependents health and welfare needs. We offer the following: Company Paid Basic Life & AD&D Insurance Company Paid Short-Term and Long-Term Disability Insurance Supplemental Life & AD Short-Term Disability; Accident; Critical Illness; and Hospital Indemnity Insurance Three medical plans offerings including two High Deductible Health Plans and a Traditional Co-Pay medical plan. Health Savings Account (HSA) with company contributions on a per pay period basis if enrolled in either HDHP medical plan. Two comprehensive Dental Plans Vision Insurance Plan Dependent Care Savings Account for child and dependent care. 14 Company Paid Holidays with a full week off at Thanksgiving. Generous paid time off program for vacation and sick days Employee Assistance Plan Family Medical Leave Paid Parental Leave (6 weeks) Maternity benefits utilizing company paid STD, any supplemental STD, plus Parental Leave (6 weeks) to provide time for recovery, baby bonding, and enjoying your family time. Adoption Assistance Reimbursement Program Company Paid Concierge Services for you and your loved ones for the spectrum of caring needs for your aging parents, young children, life's challenges and more. 401(k) Retirement Plan with both Traditional and Roth plans with per pay period match Pet Insurance We are not accepting unsolicited resumes from agencies and/or search firms for this job posting. Mercer Advisors provides equal employment opportunity to all applicants and employees without regard to age, color, disability, gender, marital status, national origin, race, religion, sexual orientation, gender identity and expression, physical or mental disability, genetic predisposition or carrier status, or any other characteristic protected by law in accordance with all applicable federal, state, and local laws. Mercer Advisors provides equal employment opportunity in all aspects of employment and employee relations, including recruitment, hiring, training and development, promotion, transfer, demotion, termination, layoff, compensation, benefits, and all other terms, conditions, and privileges of employment in accordance with applicable federal, state, and local laws. If you need an accommodation seeking employment with Mercer Advisors, please email *****************************. This email is for accommodation requests only. Accommodations are made on a case-by-case basis. Applicants have rights under federal employment laws: Family and Medical Leave Act (FMLA) Employee Polygraph Protection Act (EPPA) Equal Employment Opportunity (EEO) U.S. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States. Mercer Advisors participate in E-Verify to confirm work authorization. E-Verify Right to Work If you are a resident of California, learn more about Mercer's California Consumer Privacy Policy here. CCPA Notice at Collection

Direct Persuasion is actively recruiting a highly motivated individual to join our dynamic and ambitious Republican marketing team. As a Junior Data Analyst, you will have the opportunity to support day-to-day setup, collection, harmonization, visualization, and analysis for prominent political campaigns, national committees, faith-based nonprofits, and conservative-minded organizations. This role offers exposure to diverse data platforms and tools, enabling you to make a significant impact on how the team understands client data and campaign trends with digital fundraising, voter outreach, and persuasion initiatives. Responsibilities Handle pulling, cleaning, and organizing data from ad platforms like Meta, Google, X and more, along with Google Analytics 4, Salesforce, and Google Big Query Maintain business intelligence infrastructure across tools like Datorama, Claude, Looker Studio and Google Sheets Complete data audits and analysis to ensure product quality and troubleshoot issues as they arise Assist with data measurement setup like Google Tag Manager, site tracking, client onboarding, and overall performance reviews Qualifications Bachelor's degree preferred, but not required Passion for Republican politics Background in data preferred, but not required Excellent written and verbal communication skills Proficient knowledge of Microsoft Excel and/or Google Sheets Proficient knowledge of Google Tag Manager and Google Analytics 4 Background in BI tools like Datorama, Looker Studio Background in basic SQL or strong willingness to learn Ability to manage multiple task deadlines Organized, flexible, and able to work both independently and with the team BONUS: Proficient knowledge of APIs, ETL tools, AI analytics tools The type of person who thrives at Direct Persuasion Self-starter Adaptable Organized Enthusiastic Competitive Learner Responsible Ambitious Independent Skills Data analysis Problem solving Data storytelling Culture We are a next-generation digital agency with a passion for Republican politics and issue advocacy. Whether it's converting a user to a donor or a citizen to a voter, we will find our client's audience anywhere on the Internet. We can transform their digital campaigns to drive cost efficiency and significant growth by providing a new age full-funnel media solution. As part of this mission, our agency believes in sourcing, training, and empowering only the best humans to help us achieve success. Our friends in the industry have called us fast, iterative, scrappy, and willing and able to try new things, all while remaining smart, kind, and humble amongst all levels of the team. To show our appreciation for our incredible staff, we have generous vacation policies, WFH flex days, commute budgets, team bonding events, and wellness gifts, all which are available to interns should they choose to stay with us in either an in-person or virtual role following graduation. All that being said, we're so excited to welcome new talent and can't wait to start meeting and greeting applicants soon! Benefits Incentive-Based Bonus Structure Comprehensive Healthcare OneMedical Membership Life Insurance 401K Matching Generous PTO Work-from-Home Fridays Dog-Friendly Office Additional Perks Team bondings and vendor outings Networking with others in the Republican digital space Exposure to talented colleagues at technology platforms, news publishers, and data partners

supports and performs intermediate level technical work, analysis, research, reporting, data governance and related activities associated with supporting the TFS Scheduling team. Specifically, will focus on supporting efforts associated with planning, scheduling, tracking, and resource forecasting for all maintenance, restoration, and capital project activities to ensure the safe and reliable operation of the Transmission System. Essential Job Functions: Develop, review, and present statistical reports related to work scheduling and adherence, crew utilization, KPIs, etc. Participate in special assignments such as process improvement efforts, standards development, scheduling tool implementation, etc. Develop and provide consistent capital project tracking reports Investigate data irregularities and provide feedback to the Work Run IBM Cognos reports to update resource models with time, labor, dates, etc.. Assist with establishing parameters for measureable data and data validation Gain access and be proficient in researching and pulling data from iTOA, IPS, P6, Ecosys, etc. Collaborate with and provide technical support, as necessary, to TFS work scheduling team Support the development of work scheduling practices and procedures to ensure consistency within the group Education Requirement/Experience: Technical degree and/or Associate Business degree with 2 years of experience in the utility industry preferred A high school diploma or equivalent and 4 years of related utility industry work experience. Additional Requirements: Proficient with Excel, MS Office Tools, SharePoint. Experience with IPS, IBM Cognos, Primavera, PowerBI preferred Able to organize and summarize data Skillful in developing detailed KPI, metrics, and progress reports Must be self-motivated, a good communicator and team focused individual!

Junior Data Analyst Arsenault is hiring a Junior Data Analyst (Remote) for our NY headquarters. We are seeking exceptional entry-level talent for this role. Desired Skillsets: Willing to provide on the job training Must be a quick learner Skills used in the role: SQL (80% of day) Stored Procedures Ad Hoc Analysis Data Exploration / Cleaning PBI Excel Day-to-day work description: Exploratory Data Analysis Data Cleansing Writing SQL Scripts for Data Warehousing Report Making Ad Hoc Business Analysis ETL writing Live Dashboard creation to support Operations and Executive Decision Making Job fit: Capable of Deep Work Problem Solver Reliable, consistent Attention to detail What We Offer to You: Competitive pay (DOE), including additional target compensation Opportunity to work and grow your career in a fast-paced environment Medical, Dental, Vision Insurance (90% coverage for you and codependents) Life Insurance Flexible spending account Paid time off Vision insurance 401k Open and friendly, professional office environment Who We Are: We have helped thousands of patients take back their lives from mental illness with specialized clinical expertise and the foremost cutting-edge technology available in mental health today. Arsenaults approach to treating mental illnesses is to offer holistic options and treat the whole person by providing an atmosphere of positivity, support, and healing in an outpatient setting. We believe people should live their best lives, and mental health is a substantial segment of total well-being. We bring the same passion we have for improving our patients lives to providing a work experience that will help you do your best work, enjoy the time you invest at work, and succeed in life outside of work. We take our people and culture seriously and make it a priority to invest in both.

About the job Junior Data Analyst (Remote) As the Data Analyst for the Security Analytics & Innovation team you will help in the development, deployment and administration of Analytical Products as well as Metrics & Reporting that supports the Security strategy, decision making and controls within the organization. To be successful you must be driven and well-organized, with strong learning abilities and be open to creative problem-solving activities. This is an entry level role requiring the individual to have the aptitude to learn and to participate in the activities related to cybersecurity incident response, support, and maintenance activities. If this sounds like you, please keep reading and apply! Primary Responsibilities Create and update policies/procedures and system documentation as it relates to existing and new Analytical products, Metrics & Reporting packages, and Security Controls Map process flows from end to end for research purposes Organize and maintain a Metrics & Reporting Inventory Manage successful Metrics & Reporting Delivery Perform ad-hoc Analysis that contributes to strategy and decision making Aid team supporting Automation maturity efforts Assist with researching Security platform systems and processes Maintain up-to-date knowledge on policies and procedures Work individually and with your team to meet and exceed established goals Schedule and facilitate meetings as needed Job Requirements High School/GED AND two years of Administrative support experience OR Equivalent education/experience. Experience with programming languages such as Python, R Studio, SQL Familiarity in working with structured and unstructured data sources Excellent verbal and written communications; ability to explain project risks and issues, research analysis, and technical concepts clearly and concisely Highly motivated with strong organizational, analytical, decision making, and problem-solving skills Ability to build strong partnerships and to work collaboratively with all business and technical areas. Working Place: New York City, NY

We are seeking a highly motivated and proactive Intern to join the team. This is a paid internship and is a completely remote position. This role requires the individual to have the aptitude to learn and to participate in the evaluation and analysis of operational metric data. To be successful the candidate must be driven and well-organized, with strong attention to detail. It is essential for this individual to be self-motivated and tenacious, thrive in a collaborative, fast-paced environment, and complete tasks on agreed schedules. Job Description Primary Responsibilities: Work with the team and departmental managers to create a prioritized list of reporting needs within Infrastructure Elicit and analyze needs and translate / document information into reporting requirements Import and build small databases for data mining Acquire data from primary and / or secondary data sources and maintain databases Use statistical methods to interpret data, analyze results, and provide ongoing reporting Use data to create models that depict trends in portfolio financials and operational effectiveness Run database queries in order to support data validation within reports Filter and “clean” data to locate and correct code problems Identify and recommend new ways to meet the Infrastructure reporting Facilitate meetings to review data findings and metrics Develop and update documentation to support new / changes to procedures Develop, generate, maintain and monitor reports and files Consolidate and create monthly decks providing operational metrics and key messages Works under significant supervision of a Manager Qualifications 1 year of Data Analyst experience with a Bachelor's degree or equivalent transferable experience through coursework, internships or work experience. Strong business and technology aptitude with a willingness to learn and understand business and software solutions. Excellent verbal and written communications; ability to communicate and present requirements and issues clearly and concisely Proficient with elaborate / complex MS Excel spreadsheets (e.g. formulas, pivot tables, graphs, etc.) or Access Database Ability to build strong partnerships and to work collaboratively with all business and IT areas. Highly motivated with strong organizational, analytical, and problem solving skills. Strong communication and documentation skills. Ability to effectively prioritize and execute tasks in a high-pressure environment. Financial knowledge and aptitude Ability to effectively use Microsoft Office products to drive data analytics and reporting. Additional Information Pay Type: Hourly Hiring Rate $27.50 Travel Required No Telecommute % 0 Fully Remote Duration: 2 months with option to convert to full time role. All your information will be kept confidential according to EEO guidelines.

Responsibilities: Provide essential support as a Junior Data Analyst, offering valuable insights for data-driven decision-making, primarily concentrating on retention marketing strategies. Collect, analyze, and interpret data to identify trends and make strategic recommendations for improvement in areas such as product performance, marketing campaigns, customer experience, and customer segmentation. Support the development of retention forecasts and work with other analysts to refine and improve forecasting models. Create reports and dashboards to track key performance indicators. Collaborate with teams across departments to ensure data accuracy and integrity. Other duties as needed. Qualifications: 2+ years of direct and hands-on experience providing solutions. Bachelor's degree in a relevant field (e.g., Business, Marketing, Data Science, or a related field) Excellent analytical and problem-solving skills, detail-oriented, and able to work well within a small, dynamic and data-driven team. Solid understanding of database technologies, data analytics, and reporting tools Strong working knowledge of Excel and Google Sheets required. Solid communication and presentation skills Prior experience with any variant of SQL preferred. Experience with Google Analytics or other web analytical tools preferred Experience with data visualization tools like Looker is preferred. Benefits: 20 Vacation Days 40 Hours Paid Sick Leave Paid Mental Health Days 9 Paid Holidays Life AD&D + LTD Coverage Medical, Dental, Vision, HSA + FSA Employee 401(K) Plan Monthly Utility Allowance Employee Discounts

About Us At Splash, our mission is to make music creation accessible for everyone. Since 2017, we've been at the forefront of AI-driven music technology, building experiences that empower the next generation of creators. Our web and gaming-based music tools, including those on platforms like Roblox, have introduced millions to music production in fun and engaging ways. Backed by leading investors including Amazon's Alexa Fund and Khosla Ventures, we're assembling a team of engineers, designers, musicians, and business thinkers who are passionate about redefining the future of music tech. Applications for internships and graduate roles are open to current MBA students, recent graduates, and those early in their careers. This role will work closely with our Australian team, West Coast timezone is preferred as afternoon work is a must for crossing over timezones. The Role We're looking for a Business Analyst Intern to help us analyze product performance, surface insights, and drive smarter decisions across our web and gaming experiences. This role is perfect for a highly analytical thinker - someone who can dive into tricky data sets, find actionable insights, and help build fast, practical solutions. In this role, you'll work with product leaders, engineers, and designers to interpret user behavior, build dashboards, track product performance, and surface opportunities to make our tools better. You'll also help detect bugs, uncover odd behaviors in our game and web experiences, and suggest improvements that lead to smarter, faster decision-making. If you're a current MBA student, recent grad, or someone with strong business/data analysis experience and are passionate about analytics, creativity, and tech this role may be perfect for you! Please note, we receive a high volume of interest for our roles. To ensure your application stands out please consider the requirements listed, our industry of music, gaming and a growing gen z audience and how your experience will help you succeed in this role. Responsibilities - Build and maintain product dashboards using BI tools like Amplitude, Looker, or similar platforms- Analyze user funnels, retention, monetization, and engagement trends across web and gaming products- Troubleshoot bugs, behavioral anomalies, and data inconsistencies; help explain why things happen and propose fixes for future bug mitigation - Work with limited or partial data (e.g. from game engines) and develop creative workarounds to measure key metrics - Support the product and engineering teams with insights to inform roadmaps, experiments, and design decisions- Identify gaps and opportunities in how we understand user behavior and product vision- Help shape how we collect, visualize, and report on product data and business metrics- Present findings and recommendations to stakeholders in clear, compelling formats Collaborate cross-functionally to improve our data pipelines, tagging strategies, and analytics frameworks- Focus on speed and delivery; we move fast, release updates weekly if not daily. This role is not about large projects over months, rather a continual moving and evolving role that will see you adapting to new releases About You We're looking for someone who thrives in ambiguity, loves turning messy data into insights, and is excited by the idea of working at the intersection of product, analytics, and creative tech. You might be a good fit if you:- Are currently enrolled in an MBA program, recently graduated, or have equivalent business/data experience- Have experience with BI or analytics tools like Amplitude, Looker, Mixpanel, Tableau, or similar (if you haven't used our stack, we'd love to hear about platforms you have used and how you've tackled similar problems)- Are a fast, practical thinker who can define what to measure and how to do it without perfect data Know your way around data dashboards, KPIs, funnel metrics, and user segmentation- Love solving product puzzles and identifying bugs, gaps, or mismatches between expected and actual user behavior- Are comfortable communicating insights to non-technical stakeholders and making data feel accessible and actionable- Are curious, adaptable, and passionate about music, gaming, or consumer applications (or all three!) What to Expect - Work alongside a small but powerful team of experts from companies like Spotify, SoundCloud, Twitch, Amazon, and Apple.- Gain hands-on experience in a startup environment where your contributions directly impact our products.- Get mentorship and exposure to how a product-driven tech company operates.- Collaborate in a dynamic, multidisciplinary team of engineers, musicians, designers, and product experts.- Remote work with a global team *Please note, we are a global team, cross-over hours with US and Australia is a requirement for this role. US West Coast is preferred. Application Process To apply, please include: - Your resume and answers to the questions prompted at application (cover letter optional, as these questions should address our specific criteria)- An online portfolio or any attached examples of dashboards, slide decks, or analytical work you're proud of (optional but helpful!) We receive a high volume of interest for our roles. To stand out, focus on your analytical thinking, your ability to move fast, and how you've used data tools to drive better decisions in messy, ambiguous contexts. Diversity, Equity & Inclusion Music has the incredible ability to bridge divides and bring people together, regardless of their background or identity. Like the industry we work within, diversity, equity and inclusion are at the heart of everything we do. We are committed to creating an inclusive environment where everyone feels valued, respected, and empowered. We actively seek out and welcome voices from all backgrounds and believe that diverse perspectives fuel our creativity and drive success. 🚀 Ready to kickstart your career in music tech? Apply now and let's build the future of music creation together! 🎵 PDF preferred For more info visit splashmusic.com