Data science internship jobs in Maine - 39 jobs

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Northern Light Mercy Hospital Department: Operating Room Mercy Fore River Work Type: Full Time Hours Per Week: 30.00 Work Schedule: Variable Under the direction of the Operating Room (OR) Manager, the data coordinator for the OR is responsible for the knowledge and maintenance of systems and processes relating to chargeable supplies in the OR and serves as back-up to the charge entry clerk, when assigned. The incumbent is responsible for the timely and accurate entering of O.R. supplies in the appropriate systems, as well as assignment of billing codes to ensure charges are generated accurately. The incumbent may have access to highly confidential patient, employee and/or proprietary information, and must handle and protect the information in accordance with hospital and system policies, HIPAA requirements and the highest level of ethical standards. The incumbent is responsible for reporting all security events, potential events, or other security risks to the organization. The incumbent is responsible for participation in and completion of all patient safety initiatives appropriate to the position, and conducts all job responsibilities according to the Mission and Values of Mercy Hospital. Responsibilities: 1. Performs duties of a Data Coordinator - Operating Room: • Obtain and maintain working knowledge of Lawson (materials management) and Surginet (O.R.) systems. • Coordinate addition of new supplies in Surginet with the O.R. Expeditor, including activating new supplies in Surginet, requesting the build of new supplies in Lawson, and communicating changes in vendor contracts impacting pricing terms for supplies. • Responsible for integrity of the price file master for all surgical services departments. • Responsible for reviewing each supply item to determine if item is chargeable and identifying appropriate bill code to be assigned based on the supply grouping and acquisition cost. • Work directly with O.R. Expeditor to maintain accurate cost data. Accurate cost data is maintained either manually, or by software download. Price file is updated as necessary. • Perform weekly review of supplies used with no billing codes assigned and update pricing file as necessary to ensure accurate charge capture. • At a minimum, perform a quarterly review of all vendor contracts and current supply costs to ensure cost bands represented by current billing codes are accurate. Update pricing file as necessary based on review. • Coordinate and research any issues identified by the O.R. Charge Entry Clerk. • Provides reports to O.R. Manager, as requested, to support supply usage in the O.R. • Demonstrates follow- through and initiative. • Creates an environment for excellent customer relations and teamwork within the department and other departments. • Takes accountability for information contained in the department and hospital procedural manuals. 2. Performs back-up functions for the O.R. Charge Entry Clerk when necessary: • Demonstrates knowledge of O.R. charging systems. • Under direction of O.R. Charge Entry Clerk, obtains a working knowledge of the process for entering and submitting charges in the Surginet system. • Submits all charges and follows-up on missing charges and error reports when back-up is needed for O.R. Charge Entry Clerk. • Participates in daily reconciliation of charges, as needed. • Demonstrates practices to keep all patient information confidential. • Follows and adheres to Patient Rights policies at all times. 3. Performs additional duties as required or assigned. Other Information: Competencies and Skills * Behaves with Integrity and Builds Trust: Acts consistently in line with the core values, commitments and rules of conduct. Leads by example and tells the truth. Does what they say they will, when and how they say they will, or communicates an alternate plan. * Cultivates Respect: Treats others fairly, embraces and values differences, and contributes to a culture of belonging, empowerment, and cooperation. * Fosters Accountability: Creates and participates in a work environment where people hold themselves and others accountable for processes, results and behaviors. Takes appropriate ownership not only of successes but also mistakes and works to correct them in a timely manner. Demonstrates understanding that we all work as a team and the quality and timeliness of work impacts everyone involved. * Practices Compassion: Exhibits genuine care for people and is available and ready to help; displays a deep awareness of and strong willingness to relieve the suffering of others. Education * Required No Minimum Requirement Working Conditions * Potential exposure to abusive and/or aggressive people. * Potential exposure to diseases or infections. * Potential exposure to hazardous materials. * Potential exposure to noise levels being uncomfortable. * Potential exposure to noxious odors. * Potential exposure to very hot or cold temperatures. * Work with computers, typing, reading or writing. * Lifting, moving and loading 20 to 30 pounds. * Prolonged periods of sitting. Portland, Maine, Catholic, Sisters of Mercy, Level 2 NeoNatal Nursery

To join our dynamic team, we are looking for a Data Analyst with ambitious yet exacting nature. By giving various departments of the business insights they can apply, your expertise of data analysis will enable them to make better decisions. Working with diverse datasets, producing valuable reports, and working with cross-functional teams can help you to maximize business operations in this capacity. Main Purposes: To find trends, patterns, and areas for development, compile, arrange, and assess enormous databases from many sources. Create and maintain useful dashboards and reports including visual depictions of important performance indicators (KPIs) to support business decisions. Utilize statistical techniques and tools to undertake trend forecasting and predictive analysis. Learn the data requirements of the stakeholders and offer customized solutions working jointly to promote corporate goals. Run data quality tests to guarantee datasets are correct and whole. For those without technical background, make sure your conclusions and suggestions are easily graspable. Constant improvement of data analysis techniques depends on including industry best practices. Required Competencies: One either needs a bachelor's degree in data science, statistics, computer science, mathematics, or a closely connected field. One must minimum have two years of relevant professional experience as a data analyst. capacity to effectively evaluate data using languages and tools including R, Excel, Python, SQL. proficient in the application of Tableau and Power BI among data visualization tools. strong statistical approach and data modeling knowledge. excellent problem solver with sharp attention to detail. ability to present to viewers with different degrees of technical knowledge complex data insights. Excellent time management and organizing skills; able of managing numerous projects at once and finishing them all within the given period. What Values Your Company Most? Join a team that is innovative and encouraging and whose goal is difference. Possibility to help the creation of business strategy by means of involvement in multifarious and challenging projects. a pay scale and benefits package competitive. one in which people are urged to grow professionally and pick up new skills.

**About Us** We set out to develop a health care innovation organization that could separate the background "noise" from what warrants investment in our highly complex, rapidly evolving marketplace lacking transparency to enable our pharmaceutical and biotech clients to make better decisions and flourish. Today, ten years later, we are the preeminent U.S. market access oncology and specialty strategy partner, grounded in the structure and logic of the strategy consulting discipline, bolstered by our robust data set continuously enriched via our unequaled specialty access panel of the most highly influential access and value influencers in the U.S. With a unique staffing model of highly structured and collaborative creative thinkers akin to an oncology and specialty think tank, we have increasingly come to be viewed as an influencer in our industry. At the interface of clinical, economic, and operational evolving needs, the Dedham Group has become the go-to resource for addressing the challenges faced by the world's leading life sciences organizations. Now, The Dedham Group is proud to be a part of Norstella (*************************** . Norstella is a premier and critical global life sciences data and AI solutions provider dedicated to improving patient access to life-saving therapies. Norstella supports pharmaceutical and biotech companies across the full drug development lifecycle - from pipeline to patient. Our mission is simple: to help our clients bring therapies to market faster and more efficiently, ultimately impacting patient lives. Norstella unites market-leading brands - Citeline, Evaluate, MMIT, Panalgo, Skipta and The Dedham Group and delivers must-have answers and insights, leveraging AI, for critical strategic, clinical, and commercial decision-making. We help our clients: - Accelerate the drug development cycle - Assess competition and bring the right drugs to market - Make data driven commercial and financial decisions - Match and recruit patients for clinical trials - Identify and address barriers to therapies Norstella serves most pharmaceutical and biotech companies around the world, along with regulators like the FDA, and payers. By providing critical proprietary data supporting AI-driven workflows, Norstella helps clients make decisions faster and with greater confidence. Norstella's investments in AI are transforming how data is consumed and decisions are made, disrupting inefficient legacy workflows and helping the industry become more efficient, innovative, and responsive to patient needs. **About the Analyst:** The Analyst position at TDG is a rare and exciting opportunity for junior team members who are extremely smart and ambitious looking to further their careers in the Life Sciences industry and strategy consulting. Analysts will work on projects addressing the reimbursement, pricing, demand creation, health policy, health economics and market strategy needs of clients. Analysts will support all levels of consulting projects and business development work including: + Market research (primary and secondary research) + Data analysis + Report and presentation development + Strategy assessment and commercial insight + And other duties as assigned **Requirements** **Our ideal candidate has:** + Chemistry, Physics, Biochemistry, or Bioengineering degree from a top-tier university + 1-3 years of experience in consulting or related fields within the Life Sciences industry + Entrepreneurial and collaborative attitude + Excellent time and project management skills + Superior skills in using MS Office (particularly PowerPoint and Excel) + Strong communication and analytical skills **Benefits** + Medical and prescription drug benefits + Health savings accounts or flexible spending accounts + Dental plans and vision benefits + Basic life and AD&D Benefits + 401k retirement plan + Short- and Long-Term Disability + Paid parental leave + Paid time off _The expected base salary for this position ranges from_ **_$80,000_** _to_ **_$100,000._** _It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus._ **_Please note- all candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa._** **The Guiding Principles For Success At Norstella** **01: Bold, Passionate, Mission-First** We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. **02: Integrity, Truth, Reality** We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. **03: Kindness, Empathy, Grace** We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. **04: Resilience, Mettle, Perseverance** We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. **05: Humility, Gratitude, Learning** We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. _The Dedham Group is an equal opportunity employer. All Job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law._ _All legitimate roles with Norstella will be posted on Norstella's job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address:_ _[email protected]_ _._ _Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._ Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

DATA MANAGEMENT ANALYSTLOCATION: Remote within ME, VT, or NH HOURS: Full Time, 37.5 hours per week, Hourly (Non-Exempt) The data analyst is focused on determining and developing reporting of major business drivers. This position is responsible for coordinating and facilitating the Data Governance workgroup and providing data support to various management staff and groups, including the Management Team, Health Care Delivery teams, External Affairs teams, CEO, and CFO. YOUR DAY- TO-DAY RESPONSIBILITIES: Lead and support data governance efforts to ensure the agency uses data consistently and accurately. Understand how key data systems (including the EHR) are structured in order to find, organize, and report information effectively. Create, maintain, and update documentation, resources, and shared tools that help staff access and understand reports. Produce regular and ad-hoc data reports for internal teams and external partners, ensuring information is accurate and delivered on time. Collaborate with departments to build reporting tools, provide basic training, and support staff who rely on data for decision-making. Contribute to agency needs by completing special projects, supporting teamwork, and staying flexible as priorities and schedules shift. JOB PERKS: Work with a group of dedicated professionals No late night or overnight hours Collaborative Work Environment - PPNNE upholds high workplace values and patient service standards, fostering respect, engagement, and teamwork to create the best experience for employees and patients alike. Gain experience with a trusted leader in affordable, high quality, health care Experience using the Electronic Medical Records program EPIC Travel Milage Reimbursement Make a Difference! - Make a direct impact in your community by providing patients with access to high quality & essential health care services • COMPENSATION: Pay Range - Candidates can expect to earn between $31 - $38 per hour based on years of related & relevant work experience. BENEFITS: Up to 3 weeks paid time off (increases with tenure) & up to 10 Paid Holidays Paid Parental Leave Medical, Dental & Vision Insurance PPNNE Funded Health Reimbursement Account to cover portion of medical deductible costs 403b retirement account and 2% employer match eligibility Employee Assistance Program (confidential counseling and resources) Employee referral bonuses Employer Paid Short Term Disability & Life Insurance KNOWLEDGE, SKILLS AND ABILITIES: Bachelor's degree plus a minimum of 3-5 years relevant practical experience; or an equivalent combination of education and experience from which comparable knowledge and abilities can be acquired. Minimum educational requirements include High School Diploma/GED Experience in business analysis and reporting and proficiency in presenting quantitative data to a diverse audience Excellent Microsoft Excel, Word and report writing skills are required Strong SQL experience and knowledge required Experience in Epic reporting workbench and Epic Slicer Dicer required Epic certifications in Clarity and Caboodle preferred, otherwise the ability to get and maintain Epic Caboodle /Clarity badges within the first 90 days of employment required Working knowledge of health care key performance indicators, medical terminology, practice management systems and ICD-10/CPT coding is preferred Experience with O365 platform, including Microsoft Teams and SharePoint, preferred WHY JOIN PPNNE? Planned Parenthood of Northern New England (PPNNE) was founded on the belief that everyone has the fundamental right to make decisions about their bodies and reproductive futures free from harassment or fear. Working for Planned Parenthood is more than just a job. Joining Planned Parenthood means becoming part of a mission-driven movement, where your work will help make sexual and reproductive health care more accessible to all. Interested applicants please submit a cover letter and resume by visiting our website at **************************** Planned Parenthood of Northern New England welcomes diversity & is an Equal Opportunity Employer

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

United States - Remote Covetrus is looking for a Consumer Data Scientist to drive and support advanced analytics and applied data science that accelerates Covetrus' consumer-facing marketing, product experiences, and strategic business initiatives. As part of Covetrus, you will work with one of the largest in-clinic and online pet parent behavior datasets in the world. You will design, build, and operationalize models and analytical frameworks that improve new consumer acquisition, drive retention, influence product and brand preference, and enhance the experience of our consumer-facing products. You will partner closely with Marketing, Product, and Commercial leaders to translate ambiguous business questions into clear analytical problems, develop data-driven solutions, and communicate recommendations that shape strategy. You will contribute to a culture of collaboration, innovation, and continuous improvement as you provide insight into the business and drivers of consumer behavior, loyalty, and product preferences. ESSENTIAL DUTIES AND RESPONSIBILITIES Drive and support the development, validation, and deployment of predictive and machine learning models (e.g., propensity, churn, LTV, recommendations, next best action, marketing response) that support data-driven marketing and business decisions for the Prescription Management and other consumer businesses. Design and analyze experiments (A/B and multivariate tests) and apply causal inference methods to measure the impact of marketing, pricing, and product changes on key consumer outcomes. Identify, scope, and prioritize high-impact data science opportunities that shape consumer experience, drive adoption, increase loyalty, influence brand preference, and deepen consumer engagement. Maintain a deep understanding of consumer behavior, competitive trends, and business drivers; proactively surface insights and hypotheses that inform strategy and roadmap decisions. Analyze key trends and build robust statistical and machine learning models to predict consumer behavior using strong statistical rigor and best practices. Establish scalable, efficient, and automated processes for large-scale data preparation, model training, scoring, and monitoring in partnership with Data Engineering and Analytics teams. Partner with teams across the prescription management and broader consumer business to design, develop, and maintain forecasts, analytical tools, and dashboards that highlight key business drivers and model outputs. Translate complex analytical findings into clear, compelling stories and recommendations tailored to non-technical stakeholders, driving alignment and action. Contribute to data science standards, best practices, and documentation, and mentor team members in advanced analytics and modeling techniques. Collaborate across the organization to solve critical business challenges and support overall business strategy. QUALIFICATIONS: EDUCATION and/or EXPERIENCE Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative field required. Advanced degree (Master's or PhD) in a quantitative discipline a plus. 3+ years of experience in applied data science, machine learning, or advanced analytics in a consumer, digital, or eCommerce environment. Demonstrated experience supporting end-to-end modeling projects-from problem framing and data preparation through model development, validation, deployment, and performance monitoring. COMPETENCIES (Skills and Abilities) Proven experience in predictive modeling and machine learning, including techniques such as regression, regularization, tree-based methods (e.g., random forest, gradient boosting), classification, clustering/segmentation, time-series forecasting, and/or uplift modeling. Proficiency in SQL and working with large-scale, complex datasets in modern data warehouses; experience with Snowflake is preferred. Strong programming skills in Python and/or R for data science. Experience designing and building data pipelines or automated analytical workflows and reporting tools in partnership with data engineering or BI teams. Demonstrated track record of delivering actionable predictive insight that drives measurable business impact in a consumer or eCommerce context. Strong analytical and quantitative skills, including the ability to use customer research, experimentation, and performance data to optimize marketing and product decisions. Experience designing, executing, and analyzing experiments (A/B tests) and/or using causal inference techniques to estimate incremental impact. Proven ability to convey key insights from complex analyses in clear, concise business terms, including building compelling presentations and data visualizations (experience with BI tools such as Tableau or Power BI is a plus). Understanding of how pricing, promotion, and brand impressions influence consumer loyalty, brand preference, and lifetime value, and ability to synthesize insights that inform marketing and product strategy. Strong skills in Excel and comfort working with relational databases and cloud-based data ecosystems. Understanding of the online marketing ecosystem and channels (e.g., direct, social media, display, affiliate, email, SEM, SEO), customer segmentation, and CRM/database marketing methods is a plus. Hands-on experience using machine learning and AI for analytics and decisioning is required; experience with modern ML/AI tooling (e.g., model orchestration, feature stores, experimentation platforms) is a plus. Aptitude and interest in learning new technologies, methods, and tools, and in staying current with the evolving data science and marketing analytics landscape. Strong collaboration and stakeholder management skills, with the ability to build trusted partnerships across Marketing, Product, Commercial, and Technology teams. We offer the following benefits for you to take advantage of while you are here provided you meet the eligibility requirements under each governing program: 401k savings & company match Paid time off Paid holidays Maternity leave Parental leave Military leave Other leaves of absence Health, dental, and vision benefits Health savings accounts Flexible spending accounts Life & disability benefits Identity theft protection Pet insurance Certain positions may include eligibility for a short-term incentive plan Salary may vary depending on factors such as confirmed job-related skills, experience, and location. It is not typical for an individual to be hired at or near the top end of the range for their role. Compensation decisions are dependent upon the facts and circumstances of each case. Sales Positions are eligible for a Variable Incentive. The pay range for this position is as follows: $78,600-$112,300 Covetrus is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

United States - Remote Covetrus is looking for a Consumer Data Scientist to drive and support advanced analytics and applied data science that accelerates Covetrus' consumer-facing marketing, product experiences, and strategic business initiatives. As part of Covetrus, you will work with one of the largest in-clinic and online pet parent behavior datasets in the world. You will design, build, and operationalize models and analytical frameworks that improve new consumer acquisition, drive retention, influence product and brand preference, and enhance the experience of our consumer-facing products. You will partner closely with Marketing, Product, and Commercial leaders to translate ambiguous business questions into clear analytical problems, develop data-driven solutions, and communicate recommendations that shape strategy. You will contribute to a culture of collaboration, innovation, and continuous improvement as you provide insight into the business and drivers of consumer behavior, loyalty, and product preferences. ESSENTIAL DUTIES AND RESPONSIBILITIES Drive and support the development, validation, and deployment of predictive and machine learning models (e.g., propensity, churn, LTV, recommendations, next best action, marketing response) that support data-driven marketing and business decisions for the Prescription Management and other consumer businesses. Design and analyze experiments (A/B and multivariate tests) and apply causal inference methods to measure the impact of marketing, pricing, and product changes on key consumer outcomes. Identify, scope, and prioritize high-impact data science opportunities that shape consumer experience, drive adoption, increase loyalty, influence brand preference, and deepen consumer engagement. Maintain a deep understanding of consumer behavior, competitive trends, and business drivers; proactively surface insights and hypotheses that inform strategy and roadmap decisions. Analyze key trends and build robust statistical and machine learning models to predict consumer behavior using strong statistical rigor and best practices. Establish scalable, efficient, and automated processes for large-scale data preparation, model training, scoring, and monitoring in partnership with Data Engineering and Analytics teams. Partner with teams across the prescription management and broader consumer business to design, develop, and maintain forecasts, analytical tools, and dashboards that highlight key business drivers and model outputs. Translate complex analytical findings into clear, compelling stories and recommendations tailored to non-technical stakeholders, driving alignment and action. Contribute to data science standards, best practices, and documentation, and mentor team members in advanced analytics and modeling techniques. Collaborate across the organization to solve critical business challenges and support overall business strategy. QUALIFICATIONS: EDUCATION and/or EXPERIENCE Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative field required. Advanced degree (Master's or PhD) in a quantitative discipline a plus. 3+ years of experience in applied data science, machine learning, or advanced analytics in a consumer, digital, or eCommerce environment. Demonstrated experience supporting end-to-end modeling projects-from problem framing and data preparation through model development, validation, deployment, and performance monitoring. COMPETENCIES (Skills and Abilities) Proven experience in predictive modeling and machine learning, including techniques such as regression, regularization, tree-based methods (e.g., random forest, gradient boosting), classification, clustering/segmentation, time-series forecasting, and/or uplift modeling. Proficiency in SQL and working with large-scale, complex datasets in modern data warehouses; experience with Snowflake is preferred. Strong programming skills in Python and/or R for data science. Experience designing and building data pipelines or automated analytical workflows and reporting tools in partnership with data engineering or BI teams. Demonstrated track record of delivering actionable predictive insight that drives measurable business impact in a consumer or eCommerce context. Strong analytical and quantitative skills, including the ability to use customer research, experimentation, and performance data to optimize marketing and product decisions. Experience designing, executing, and analyzing experiments (A/B tests) and/or using causal inference techniques to estimate incremental impact. Proven ability to convey key insights from complex analyses in clear, concise business terms, including building compelling presentations and data visualizations (experience with BI tools such as Tableau or Power BI is a plus). Understanding of how pricing, promotion, and brand impressions influence consumer loyalty, brand preference, and lifetime value, and ability to synthesize insights that inform marketing and product strategy. Strong skills in Excel and comfort working with relational databases and cloud-based data ecosystems. Understanding of the online marketing ecosystem and channels (e.g., direct, social media, display, affiliate, email, SEM, SEO), customer segmentation, and CRM/database marketing methods is a plus. Hands-on experience using machine learning and AI for analytics and decisioning is required; experience with modern ML/AI tooling (e.g., model orchestration, feature stores, experimentation platforms) is a plus. Aptitude and interest in learning new technologies, methods, and tools, and in staying current with the evolving data science and marketing analytics landscape. Strong collaboration and stakeholder management skills, with the ability to build trusted partnerships across Marketing, Product, Commercial, and Technology teams. We offer the following benefits for you to take advantage of while you are here provided you meet the eligibility requirements under each governing program: 401k savings & company match Paid time off Paid holidays Maternity leave Parental leave Military leave Other leaves of absence Health, dental, and vision benefits Health savings accounts Flexible spending accounts Life & disability benefits Identity theft protection Pet insurance Certain positions may include eligibility for a short-term incentive plan Salary may vary depending on factors such as confirmed job-related skills, experience, and location. It is not typical for an individual to be hired at or near the top end of the range for their role. Compensation decisions are dependent upon the facts and circumstances of each case. Sales Positions are eligible for a Variable Incentive. The pay range for this position is as follows: $78,600-$112,300 Covetrus is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Value-Based Care (VBC) Analytics is an independent organization covering the Baylor Scott & White Health Plan (Payer) and Baylor Scott & White Quality Alliance (Accountable Care Organization) analytical and data science needs. We are seeking a customer-facing Healthcare Data Scientist who works closely with key business stakeholders within the value-based care team, to develop use cases related to difficult to solve and complex business challenges. The ideal candidate will work on creating machine learning models using appropriate techniques to derive predictive insights that enable stakeholders to glean insights and enable actions to improve business outcomes. **ESSENTIAL FUNCTIONS OF THE ROLE** + Communication and Consulting: Summarize and effectively communicate complex data science concepts to inform stakeholders, gain approval, or prompt action from non-technical audience from data-driven recommendations. + Applied Machine Learning: Implement machine learning solutions within production environments at scale. Apply appropriate machine learning techniques that directly impact HEDIS/Stars initiatives + Data Collection and Optimization: Collect and analyze data from a variety of SQL environments (Snowflake, SQL Server) and other data sources, including vendor derived data, electronic health records, and claims data. + Analyze Healthcare Data: Conduct detailed analyses on complex healthcare datasets to identify trends within HEDIS/Stars and utilization, patterns, and insights that support value-based care initiatives, particularly in quality, adherence to standards of care. + Stay Informed: Stay up to date on the latest advancements in data science and healthcare analytics to continuously improve our methodologies and tools. **KEY SUCCESS FACTORS** The ideal candidate will have some of the following skills and an eagerness to learn the rest. + Healthcare Knowledge: Understanding and prior experience in handling data pertaining to HEDIS, Stars measures and Regulatory specifications. Experience in admin claims data sources such as medical/pharmacy claims, social determinants of health (SDOH) and electronic health records is also required. + Education: Bachelor's or advanced degree in mathematics, statistics, data science, Public Health or another quantitative field. + Effective Communication: Experienced in communicating findings and recommendations directly to Executive-level customers and healthcare professionals. + Analytics Skills: Academic or professional experience conducting analytics and experimentation using algorithms associated with advanced analytics topics, including binary classification algorithms, regression algorithms, Neural Network frameworks, Natural Language Processing, etc. + Technical Skills: Proficiency in common language / tools for AI/ML such as Python, PySpark. Understanding of software engineering topics, including version control, CI/CD, and unit tests. + Problem Solving: A passion for solving puzzles and digging into data. + Technology Stack: Familiarity with deploying data science products at scale in a cloud environment such as Snowflake, Databricks or Azure AI/ML Studio. **BENEFITS** Our competitive benefits package includes the following + · Immediate eligibility for health and welfare benefits + · 401(k) savings plan with dollar-for-dollar match up to 5% + · Tuition Reimbursement + · PTO accrual beginning Day 1 Note: Benefits may vary based upon position type and/or level **QUALIFICATIONS** - EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification - EXPERIENCE - 3 Years of Experience As a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The AI and Data Analytics (AIDA) Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support. Read more about the AIDA division at ****************************************** We welcome qualified individuals to express interest in this position. All candidates who meet the minimum qualifications are encouraged to apply. **Responsibilities** PNNL is seeking PhD students for assignments within the National Security Internship Program (NSIP). The AI and Data Analytics Division is looking for individuals who have a passion for solving critical national challenges using advanced computational, statistical, and mathematical techniques. The intern will be given an opportunity to be presented with complex problems in national security, energy, and science; apply cutting-edge research to make our nation safer and stronger; develop complex computer code; develop and participate in cyber competitions; design new visualization; work with big data and optimize solutions in diverse domains. Participants will be starting in cohort sessions and must be available to start in May or June 2026. **Diverse Focus Areas:** Your internship can be in one of six technical groups. + **Math, Stats, and Data Science:** We employ powerful tools and techniques, such as mathematical modeling and computational statistics, graph and game theory, network science, and uncertainty quantification to solve complex problems in a variety of domains. Disciplines: Applied Mathematics, Machine Learning, Statistics, Operations Research. + **Applied AI Systems:** We develop hardened and robust models to distill large, fast, distributed, and messy data into knowledge to support decision processes in operational environments on sponsor systems. Disciplines: Artificial Intelligence, Applied Machine Learning, Data Science, Deep Learning, Computer Vision,Geospatial Intelligence, and Natural Language Processing + **Foundational Data Science:** We conceptualize and develop fundamentally new algorithms and tools to address unresolved challenges in distilling large, fast, distributed, and messy data into knowledge to support sponsors' decision processes.Disciplines: Artificial Intelligence, Applied Machine Learning, Data Science, Deep Learning, Computer Vision, Geospatial Intelligence, and Natural Language Processing. + **Software Engineering & Architectures** : We develop high-quality, scalable, cloud-first solutions for tackling large data pipelines and analytics that are delivered to operational sponsor environments. We use industry best practices for professional software development using Agile development practices, code reviews, automated testing, and CI/CD pipelines.Disciplines: Cloud Engineering, Large-Scale Data Engineering, Scalable Machine Learning/Artificial Intelligence, DevSecOps, Automated Testing, Software Engineering + **Human Centered Computing** : We combine innovative interactive visualizations with advanced automated data analysis techniques to enable users to gain deeper insights from their data. Make complex data useful through skillful visual design, compelling human computer interaction, sound analytic methods, and solid engineering.Disciplines: Data Science, Human-Computer Interaction, User Experience, Software Engineering, Natural Language Processing, Graph Analytics and Data Visualization. + **Operational Readiness & Enablement** : We develop high-quality, scalable, cloud-first solutions for tackling large data pipelines and analytics that are delivered to operational sponsor environments. We use industry best practices for professional software development using agile development practices, code reviews, automated testing, and CI/CD pipelines.Disciplines: cloud computing, DevSecOps, software testing, data and AI engineering, project management Positions are available in Richland, Seattle, WA and internships may be supported remotely or on-campus at one of these locations, based on business need. ****HOW TO APPLY**** To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration: Step 1: Upload Resume or CV in "Resume" section only (note: If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to). Step 2: Upload a Cover Letter separately in "Additional Documents" section of the application titled "AIDA - Summer 2026 NSIP Cover Letter". Cover letter should include: Statement of interest, reference relevant college courses, and relevant experience that may include extracurricular activities that have prepared you for this career. If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 4:00 p.m. (PST) on the posting close date. **Qualifications** Minimum Qualifications: + Candidates must be currently enrolled/matriculated in a PhD program at an accredited college. + Minimum GPA of 3.3 is required. Preferred Qualifications: + Disciplines of interest: Applied Mathematics, Mathematics, Statistics, Data Science, Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Cloud Computing, Cybersecurity, Operations Research, Information Technology, Human-Computer Interaction, User Experience Design, Geospatial Science, Cognitive Science (computational focus), Systems Engineering, Project Management, Management Information Systems. **Hazardous Working Conditions/Environment** Not applicable. **Additional Information** This position involves access to sensitive systems and information. U.S. Citizenship is required. Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements. **Testing Designated Position** This is not a Testing Designated Position (TDP). **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** **Regular Hourly:** Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. **Temporary Hourly:** Employees are offered an employee assistance program and business travel insurance. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $24.04/Hr. **Maximum Salary** USD $36.06/Hr.

Job Description New England Cancer Specialists (NECS) is growing! We are seeking a full-time Data Analyst. The Data Analyst will work closely with leaders across all departments of NECS to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures. They will use advanced data modeling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes. The right person for the job will apply their exhaustive knowledge of data analysis to solving real-world problems faced by our company and finding opportunities for improvement across multiple projects, teams, and business units. NECS is a private medical practice composed of 18 oncologists and hematologists serving the region from 5 different locations in Maine and New Hampshire. Our mission is to make life better for people with cancer and blood disorders. Kindness, compassion, and respect are part of everything that we do - from our phone operators to our physicians, every person on our team is important, and everyone makes a difference. We striving to provide the highest quality care and unmatched, holistic support for every patient, every day. Job Duties: Understands business needs and objectives Develops strategies for effective data analysis and reporting Defines company-wide metrics and relevant data sources Selects, configures, and implements analytics solutions Extract reports from multiple sources (e.g. operations, IT, customer feedback) Build systems to transform raw data into actionable business insights Apply industry knowledge to interpret data and improve performance Assists with other special projects as assigned to the department in support of the overall organizational goals Participates in various meetings, supporting NECS' data needs internally and externally Bachelor's Degree in related field; Masters' Degree preferred At least 5 years of experience working with EHR systems and Billing systems Advanced Excel - ability to create formulas, number formatting, filters, conditional formatting, use of functions, pivot tables, build dashboards and create charts Advanced SQL - ability to build views and stored procedures using Select, Update, Create, Execute. Ability to use Join, create functions (scalar and table), use Triggers, and use built-in functions. Advanced SSRS - ability to build, modify and customize SSRS reports. Ability to build subscriptions, deploy reports, create charts, and export to Word, Excel, etc. Advanced PowerBI - ability to build, modify and customize Power BI dashboards, update data via queries, deploy dashboards, use DAX programming language, import apps from Microsoft Store to build more robust charts, and use predictive analytics tools Knowledge of Project Management steps such as Concept planning, Execute, Control, Close Knowledge and ability to build Windows apps using VB.NET or C#.NET, python, R Has the ability to communicate professionally and effectively with executive leaders, directors, managers, employees, vendors, and consultants by phone, in person, or through correspondence Communicate effectively with Database Administrator (DBA) to design and enhance data flow and data warehouse Has the ability to monitor/assess performance of self, other individuals, or the organization to recommend improvements related to workflow, processes, and procedures Knowledge of statistics and experience in analyzing datasets Adept at queries, report writing, and presenting findings Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy Ability to communicate effectively with internal and external customers Must be able to manage competing demands Exhibits objectivity and openness to others' views Benefits: New England Cancer Specialists offers competitive pay and a comprehensive benefits package to our employees. Our benefits include medical, prescription, dental, and vision insurances. Company-paid Life Insurance, Short Term, and Long-Term disability insurances as well as Long Term Care insurance. Other benefits include a company-sponsored retirement program, generous Paid Time Off in addition to 10 Company-paid holidays, a Wellness Program, and other voluntary benefits. Benefits are effective 1st of the month after your hire date.

Mount Laurel, New Jersey, United States of America **Hours:** 40 **Pay Details:** $91,000 - $136,240 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. **Line of Business:** Data & Analytics **Job Description:** The Consumer Data Assurance Analyst (US) provides business technical leadership across a broad range of information management functions to support the various areas of data and analytics. Works independently as a senior lead and may manage and direct activities related to analysis, design and support of business data management solutions on various projects ranging up to larger projects. **Depth & Scope:** + Highly seasoned professional role requiring substantial knowledge / expertise in a complex field and knowledge of broader related areas + Requires master level conceptual expertise and knowledge for own area of specialty / domain and knowledge of broader related areas + Primary subject matter expert in multiple areas and consults with clients/or project teams with respect to all aspects of business information management processes and procedures + Expert level analytical and problem solving skills and fluent in multiple programming language + Works autonomously as a senior/lead on a diverse range of tasks and is relied upon to coach/ educate others + Manages and directs activities related to analysis, design and support of business information management solutions + In-depth expertise or experience with big data solutions and familiarity with big data technologies + Keeps abreast of rapid business and technology innovation within business information management field + Familiar with visualization tools + Analyzes, designs, develops data repositories, warehouses and marts, data movement, data wrangling, data mapping and transformation (ETL) processes + Supports solutions, applications, platforms, and/or tools that are leveraged across all functional groups (e.g., Data Scientists, Business Insights & Analytics, etc.) + May also be responsible for developing sophisticated data preparation frameworks and architecture to create or modify data features for consumption by Data Scientists + Supports data modeling capabilities in order to structure business data to be consumed / translated into a variety of novel capacities + Supports business teams in the use and understanding of the data and reporting solutions + Develops data road map/information management strategies and corresponding technical solutions on integrating, transforming, and/or managing data + Drives data-centric solution development focusing on complex data integration + Adopts the Enterprise Data model in alignment with direction from the OCDO and other data & analytics functional groups + Solicits, analyzes, and understands data requirements (i.e., using market research, requirements gathering, feature planning, user experience / design considerations, etc.) to enable development of information management solutions **Education & Experience:** + Undergraduate degree or Technical Certificate + 7+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background + Advanced knowledge of various data sources, tools and technologies used in preparing summaries and reports + Analytical and problem solving skills are required to interpret data and draw conclusions + Knowledge of current and emerging competitor and market trends + Skill in using analytical software tools, data analysis methods and reporting techniques + Skill in mentoring/coaching others + Skill in using computer applications including MS Office + Ability to communicate effectively in both oral and written form + Ability to work collaboratively and build relationships + Ability to work successfully as a member of a team and independently + Ability to exercise sound judgement in making decisions + Ability to analyze, organize and prioritize work while meeting multiple deadlines + Ability to handle confidential information with discretion + Ability to contribute to strategic direction of the function and provide advice to senior leadership **Customer Accountabilities:** + Analyzes and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models) and business rules, data life-cycle management, governance, lineage, metadata and reporting elements. + Applies automation and innovation on data platforms and on-going on any new development projects / initiatives aligned to business or organizational strategies + Designs and implements complex business data information management frameworks to provide a solution that meets business requirements + Collaborates with technology and business partners to resolve issues and ensure requirements and established SLAs + Works closely with various technology/project teams to understand business data and provide analysis and requirements to ensure the data design / development initiatives are in line with the planned design and standards **Shareholder Accountabilities:** + Works with other various partners/ stakeholders to ensure project success + Develops business requirements by researching / analyzing and documenting business data requirements + Provides expert guidance within projects and other various change initiatives to support data impact assessments and data risk mitigation + Implements processes aligned to data information management standards and ensure data quality (e.g., rules / thresholds / assessments, etc.) and requirements are developed + Develops and maintains knowledge of data available from upstream sources and data within various platforms + Identifies critical data / critical data elements to support Business Segment data governance and/or data management frameworks / programs + May be responsible to understand and utilize business information management data deliverables + Ensures business data and information is retained and disposed in compliance with enterprise data standards, policies and guidelines + Performs data profiling using TD tooling and ad hoc system query languages to validate data analysis + Provides support throughout data lifecycle to resolve data issues and support user community by helping users interpret the data + Leads the investigation of root causes for data issues and ensure data issues are resolved + Identifies and/or defines knowledge transfer and data expertise activities to support business teams using the information management solutions. + Adheres to enterprise frameworks or methodologies that relate to data activities for business area + Ensures business operations follow applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets) + Participates in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations + Conducts meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices + Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts + Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite **Employee/Team Accountabilities:** + Participates fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest + Provides industry knowledge for own area of expertise and participate in knowledge transfer within the team, and business unit, and/or cross-functional groups or committees (e.g., Data Councils) + Keeps current on emerging trends/ developments and grow knowledge of the business, related tools and techniques + Participates in personal performance management and development activities, including cross training within own team + Keeps others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities + Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices. + Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships. + Contributes to a fair, positive and equitable environment that supports a diverse workforce + Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally **Physical Requirements:** Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100% + Domestic Travel - Occasional + International Travel - Never + Performing sedentary work - Continuous + Performing multiple tasks - Continuous + Operating standard office equipment - Continuous + Responding quickly to sounds - Occasional + Sitting - Continuous + Standing - Occasional + Walking - Occasional + Moving safely in confined spaces - Occasional + Lifting/Carrying (under 25 lbs.) - Occasional + Lifting/Carrying (over 25 lbs.) - Never + Squatting - Occasional + Bending - Occasional + Kneeling - Never + Crawling - Never + Climbing - Never + Reaching overhead - Never + Reaching forward - Occasional + Pushing - Never + Pulling - Never + Twisting - Never + Concentrating for long periods of time - Continuous + Applying common sense to deal with problems involving standardized situations - Continuous + Reading, writing and comprehending instructions - Continuous + Adding, subtracting, multiplying and dividing - Continuous The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes. **\#LI-AMCBOther** **Who We Are:** TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you. **Our Total Rewards Package** Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more (*************************************** **Additional Information:** We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home. **Colleague Development** If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals. **Training & Onboarding** We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role. **Interview Process** We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. **Accommodation** TD Bank 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, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at *************** . Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process. Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. Coinbase's Unit 0x is a specialized on-chain investigations team at the forefront of securing the crypto ecosystem. We identify, analyze, and mitigate critical on-chain threats-including exploits and illicit activity-using advanced blockchain analytics and investigative techniques. Our mission-driven team protects both Coinbase and the broader web3 community from emerging risks. As an Onchain Data Analyst & Researcher, you'll lead challenging investigations into illicit activity, proactively research threat actors, and develop scalable methods to detect suspicious patterns. You'll play a key role in high-risk incidents, special projects, and the continuous improvement of our investigative processes. Success in this role requires curiosity, strong blockchain data analysis skills, and a passion for uncovering and neutralizing threats. If you thrive on solving complex problems with data and want to help shape a secure future for blockchain adoption, we want you on our team. Onchain is the new online. Join us in building a secure future for the next billion users. *What you'll be doing (ie. job duties):* * Conduct in-depth investigations and research into illicit activity, scams, onchain exploits, and vulnerabilities, using blockchain analytics and clustering techniques to surface suspicious trends and patterns. * Analyze and document exploit methodologies, attack vectors, abuse patterns, and incident impacts, providing actionable intelligence to strengthen Coinbase's security posture. * Develop and automate scalable methods for detecting and understanding emerging threats, including building dashboards, writing queries, and supporting incident response with clear, quantitative reporting. * Collaborate with cross-functional teams to educate and advise on evolving exploit tactics, risk landscapes, potential mitigations and investigative best practices. * Monitor and research threat actors, their environments, and emerging blockchain trends to stay ahead of illicit activity and technological developments. * Respond to urgent, sensitive cases with discretion and professionalism, and support team members as needed. * Handle highly sensitive cases with respective urgency and discretion; * Other duties and responsibilities as required or assigned. *What We Look For In You (i.e., Job Requirements)* * A well-organized self-starter who is able to constantly learn and work autonomously; * Ability to handle highly sensitive information; * Excellent writing, analytical and communication prowess; * Deep knowledge of blockchain ecosystems and; * Investigative mindset; * Strong SQL skills - particularly around on chain analysis in conjunction with working knowledge of abuse vectors; * Knowledge to leverage AI to 10x output. *Nice to haves:* * Previous experience in corporate OSINT analysis * Experience with Dune Analytics, Flipside, and/or Chainbase. Position ID: P70663 \#LI-Remote *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $144,500-$170,000 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** *Global Data Privacy Notice for Job Candidates and Applicants* Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required. *AI Disclosure* For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

When you join the team at Unum, you become part of an organization committed to helping you thrive. Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide: Award-winning culture Inclusion and diversity as a priority Performance Based Incentive Plans Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability Generous PTO (including paid time to volunteer!) Up to 9.5% 401(k) employer contribution Mental health support Career advancement opportunities Student loan repayment options Tuition reimbursement Flexible work environments *All the benefits listed above are subject to the terms of their individual Plans . And that's just the beginning… With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today! General Summary:This position for a developing data scientist who is excited to transform data into actionable insights and impact the business through his/her work. The role requires increasing technical expertise in the fields of computer programming, applied statistics and data manipulation; and relies on developing business knowledge. The individual will participate in project work primarily within the functional area, with direction and review by manager. The individual is expected to continuously increase business knowledge and take initiative in identifying and executing analytical approaches to support assigned projects. Job Specifications Bachelor's degree in quantitative field is preferred 2 years preferred of professional experience or equivalent relevant work experience Core Data Science Capabilities: Deep expertise in at least one of the following skillsets preferred, with basic capability in the others: Programming & Process automation: Experience using APIs, file I/O, database, and analysis libraries. Understanding of programming in jupyter notebooks and/ or statistical packages. Understanding of process mapping and demonstrated application of scripting languages to automate processes. Exposure to data mining and web scraping. Data Visualization: Working knowledge of two or more data visualization tools and proficiency in static data visualization. Basic understanding of dynamic data visualization Statistics & Statistical modeling: Solid understanding of statistical inference and regression. Basic understanding of machine learning techniques including random forests and neural nets. Basic understanding of feature selection and extraction which may include analysis of categorical data, multiple comparisons, Central Limit Theorem, bootstrapping, and permutation tests Data Extraction, Transformation, and Loading (ETL) skillsets preferred: Expertise in writing complex SQL queries that join multiple tables/databases. Given a business problem, independently explore databases/tables to identify best data sources. Demonstrates ability to troubleshoot complex SQL queries written by others with little guidance. Core business capabilities: basic communication skills, exposure to financial services industry, and attention to detail and ability to prioritize while working on multiple projects keeping track of due dates Leadership Capabilities: Ability to coach or mentor team members, respond quickly and positively to change, adheres to technical best practices by collaborating with team members to deliver high quality output Preferred characteristics: Entrepreneurial self-starter. A thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity. Basic understanding of their organization. Principal Duties and Responsibilities • Design and execute analytical solutions using statistical, optimization, simulation and data mining methods with a focus on delivering actionable insights and partnership to deliver business value. • Integrate large volume of data from different sources (including DB2, SQL Server, Web API and Teradata) to create data assets and perform analyses • Apply validation, aggregation and reconciliation techniques to create rich modeling-ready data framework. • Construct predictive models using machine learning to explain and understand observed events, forecast expected behavior, or identify risk through scoring or clustering. • Familiarity with AI agents like github co-pilot, MS co-pilot to speed through code development and self - learning. • Knowledge of working with LLMs and agent libraries like Langgraph. Langchain & OpenAI SDK. • Efficiently interpret results and communicate findings and potential value to manager. • Support integration of solutions within existing business processes using automation techniques. • Understand theory and application of current and emerging statistical methods and tools. • Knowledge of tools - Python, VS code, Databricks, Azure, AWS, Streamlit, tableau, SQL • Perform other related duties as assigned #LI-TO1 #LI-MULTI IN4 Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide. Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status. The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience. $60,500.00-$123,400.00 Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans. Company: Unum

The **Enterprise** **Fraud Strategy** group provides bank-wide support for detecting, preventing, and investigating fraudulent activity across multi-channel payment systems. The **Fraud Data Scientist** reports directly to the Manager, Fraud Reporting & Analytics, supporting business reporting and analytical needs for fraud initiatives. The **Fraud Data Scientist** works as a member of a reporting and analytics team and utilizes tools for conducting analytics for managing fraud strategies, as well as creating reports consumed by LOB (lines of business) senior executives. This is a subset of the overall responsibilities which involves other multiple initiatives as assigned by Bank Operations leadership. **This role is hybrid (Mon through Thu on-site / Fri remote) for candidates in the Kansas City metropolitan area and open to qualified remote candidates outside of the Kansas City area but only within the US.** **_How you'll spend your time:_** + Work closely across the organization to develop and implement statistical analysis, artificial intelligence, machine learning processes and algorithms, and deep learning for fraud modeling. + Use dynamic techniques like Machine Learning to gain insights about the future. + Answer the "What will happen, and What should be done?" questions. + Gather business detail from peers and internal customers to adapt/enhance models. + Routinely measure model performance and implement modifications as needed. **_We're excited to talk if you have:_** + Master's Degree in Computer Science, Math, Economics, Statistics, or another quantitative field and 2+ years of unsupervised data modeling and segmentation experience **OR** any combination of education and experience that would provide an equivalent background. + Proven expert level foundation of math, statistics, and programming. + Demonstrated hands-on working knowledge of R or Python, Snowflake, SQL Server or similar database management tool and visualization tools such as Tableau or Power BI. + Superior critical thinking skills. + Strong proficiency in statistical algorithm development and evaluation. + Proficiency in advanced statistics, hyperparameter tuning, A/B Testing, predictive modeling, recommendation systems, propensity scoring, natural language processing, clustering, customer segmentation, data acquisition, mining structured and unstructured data, designing tools, automation systems, and data frameworks. **_Bonus Points if you have:_** + Banking or financial services industry experience. + Fraud reporting or analytics experience. **Applicants must have legal authority to work in the United States. Work Visa sponsorship not available for this position.** Deadline to Apply: March 8, 2026 **Compensation Range:** $69,230.00 - $149,000.00 _The posted compensation range on this listing represents UMB's standard for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. In addition, this range does not encompass the full earning potential for this role. Please see the description of benefits included with this job posting for additional information._ UMB offers competitive and varied benefits to eligible associates, such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage; health savings, flexible spending, and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary. **Are you ready to be part of something more?** You're more than a means to an end-a way to help us meet the bottom line. UMB isn't comprised of workers, but of people who care about their work, one another, and their community. Expect more than the status quo. At UMB, you can expect more heart. You'll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing, no matter what. And, expect more opportunities. UMBers are known for having multiple careers here and having their voices heard. _UMB and its affiliates are committed to inclusion and diversity and provide employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including gender, pregnancy, sexual orientation, and gender identity), national origin, age, disability, military service, veteran status, genetic information, or any other status protected by applicable federal, state, or local law. If you need accommodation for any part of the employment process because of a disability, please send an e-mail to_ _*************************_ _to let us know the nature of your request._ _If you are a California resident, please visit our_ Privacy Notice for California Job Candidates (*********************************************************************************************************************************** _to understand how we collect and use your personal information when you apply for employment with UMB._ **_Who we are_** We are more than a company. We are advisors, consultants, problem solvers, friends, community members, experts, and we are here to help you make the best of every moment with a financial foundation that can help you succeed. Learn more about UMB's vision (****************************************************************************************************** Check out the road to a career at UMB

About the Opportunity About the Institute Do you want to be part of an exciting new Institute focused on the fusion of human and machine intelligence into working AI solutions? We are launching a pioneering research and innovation hub in AI-one that will shape the way humans and machines collaborate for decades to come. The Institute for Experiential AI (EAI) is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable and prosperous. Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus. The Culture: Here at the Institute of Experiential AI (IEAI) we are committed to the highest of standards in all that we do. Working at the Institute of Experiential AI offers opportunities, an environment, a culture that just aren't found together anywhere else. This is the right place for you if you're curious, motivated by the future of technology and want to be part of a unique community that works on high-impact business and societal problems. This is a full-time, one-year term appointment with the possibility of renewal. Summary: This position supports the Institute in delivering data science and AI projects and expertise to its industry partners and researchers. Assist in delivering data science and AI courses and professional development programs to learners across the University and industry. Help build AI products that will solve the most pressing issues for organizations, including Responsible AI. Be part of a fast-growing team that will develop and maintain a cutting-edge data platform, acquire data sets for research and education purposes, and use data science strategically to support the Institute's mission. Qualifications: Education & Experience: Graduate degree (Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly demonstrate this level of skill. Experience assisting technical staff in the completion of projects. Experience communicating with technical and non-technical stakeholders and translating business problems into technical specifications. Knowledge, Skills, and Abilities: Advanced applied statistics skills, such as distributions, statistical testing, regression, etc. Professional experience developing machine learning solutions and applying them in real-world scenarios. Proficiency with machine learning frameworks and pipelines in SKLearn, Numpy, Pandas, and PyTorch. Proficiency with deep learning frameworks such as PyTorch, TensorFlow, LangChain, HuggingFace, axolotl. Knowledge of and ability to select, adapt, and effectively use large AI foundational models. Professional experience developing solutions using NLP, computer vision, or forecasting. Proficiency with statistical computer languages such as Python or R. Proficiency with relational database systems (SQL) and object-based data stores. Ability to define and solve logical problems for technical applications. Knowledge of and ability to select, adapt, and effectively use various programming methods. Preferred Experience: Knowledge of and ability to select, adapt, and effectively use large AI foundational models. Experience with distributed data systems such as Apache Spark. Expertise in analyzing large, complex, multi-dimensional datasets with various tools. Expertise in hypothesis testing and AB testing. Proficiency in Linux and version control software (git). Familiarity with Object-oriented programming languages such as Python, Java, C# or C++. Familiarity with Agile / Scrum development practices. Values & Abilities: Aptitude to independently learn new technologies, prototype, and propose software design and solutions. Excellent verbal and written communication skills Drive to learn new technologies, statistical methods, and data manipulation techniques. Ability to communicate effectively across academia and industry. Team player who can collaborate effectively across many teams within the University. Open-minded and assertive when collaborating and working within our team and with other groups within Northeastern University. Entrepreneurial mindset with an ability to navigate complex structures and processes Key Responsibilities & Accountabilities Assisting technical solutioning using latest research, technical delivery of projects by defining tasks, by providing contributions (architecting, coding, scaling, and deploying), conducting experiments and synthesizing results Serve as a technical representative in internal and external meetings Support in developing technical stack (e.g., datasets, infrastructure) for execution on projects Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit ************************************* for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 111S Expected Hiring Range: $86,490.00 - $122,163.75 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

You have challenged yourself in an academic field and are ready to take that challenge to the next level. Internships give you an opportunity to gain valuable, hands-on experience that lets you put your education to work. Our openings are designed to fit into your school schedule, to see Milton CAT from the inside and decide if it's the place to launch your career. Each year, we hire internships for a variety of positions at our locations throughout New England and upstate New York. There are opportunities to apply your knowledge in areas that include finance, marketing, operations, warehousing, equipment repair, and operations. Interns have opportunities to be exposed to many facets of the business. This internship will be working with our Service Support Team and will be an opportunity to gain practical experience in service administration within a dynamic and fast-paced heavy equipment environment. Interns will learn about service operations, assist with administrative and management tasks, and contribute to projects that improve processes and customer experience. The program is designed to provide exposure to real-world business practices and prepare students for future careers in our service operations team. This internship is being offered for summer break 2026 and will be working within our Service Department. Pay: $20.00/hr. Interns are considered valuable members of our team, and therefore earn benefits including: Real world experience Competitive salaries Consideration for full-time employment when you graduate Responsibilities Participate in onboarding and training sessions to understand service workflows. Perform routine tasks that help maintain smooth shop and field operations. Shadow experienced team members to gain insight into daily operations. Assist with general administrative tasks such as scheduling, documentation, and data entry. Support communication between internal teams and customers. Contribute to projects focused on improving efficiency and standardizing processes culminating in end of summer report out Qualifications Must be enrolled in a public, private, or accredited academic institution. Fast learner with a 3.0 or higher GPA on a 4.0 scale. Excellent computer and related software skills (Microsoft Word, Excel, Outlook). Excellent communication and interpersonal skills. Demonstrated leadership ability, and team-building skills are all advantages. Organization and time management skills. Versatility and flexibility to adapt to new situations are essential. Able to commute to work location on a daily basis. This is an in-person internship. This job description is not intended to be all-inclusive. Your supervisor may request and assign you similar duties. Resumes that are mailed, emailed or hand-delivered to Milton CAT or any employee will not be considered. You must apply online. A background check and drug test are required as part of our pre-employment process. Milton CAT is an equal opportunity employer that values the strength diversity brings to the workplace. We encourage applications from individuals with disabilities, minorities, veterans, and women. Applicants receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, sexual orientation, handicap, disability, veteran status, genetic data, or other legally protected status. We base all employment decisions to further this principle of equal employment opportunity. VEVRAA Federal Contractor. EEO/AA employer.

About Butler Bros. Butler Bros. is a family-owned and operated Industrial Distributor based in Lewiston, ME, with branches in New London, NH, East Syracuse, NY, and Greensboro, NC, and Huntingdon, PA. We are a full-line distributor of cutting tools, abrasives, safety, MROP, and packaging products. Since 1952, Butler Bros. has built a reputation for delivering exceptional value to customers through innovative solutions, extraordinary service, and competitive pricing. As we expand our inside sales team, we are offering an exciting internship opportunity for a motivated individual to help design, document, implement, and operationalize an end-to-end business development program. Internship Overview This internship is designed to provide hands-on experience in business development, marketing strategy, and sales operations. The selected intern will assist in developing Butler Bros.' "top-of-funnel" marketing strategy, focusing on generating, qualifying, and converting leads into customers. The intern will work closely with customer service, sales, and operations teams, gaining insights into customer acquisition, CRM management, and lead generation strategies. Key Responsibilities Program Development & Documentation Research and document best practices for business development and lead generation. Develop process documentation for prospecting, outreach, and customer engagement. Assist in designing workflows for managing leads and sales activities in the CRM. Lead Generation & Qualification Research and compile target customer lists using industry databases. Assist in the development of lead scoring models to prioritize high-potential customers. Create a structured process for logging new leads and contacts into the CRM. Marketing & Outreach Strategy Develop and test outreach email and LinkedIn messaging templates. Assist in crafting scripts for phone outreach and follow-ups. Support A/B testing of different messaging strategies to optimize conversion rates. Operational Implementation Work with the sales team to implement and refine a systematic follow-up cadence. Establish and track KPIs related to lead generation, customer engagement, and outreach effectiveness. Develop reporting templates and dashboards to monitor performance. Collaboration & Training Coordinate with the Outside Sales team to refine lead hand-off processes. Provide insights and recommendations based on research and performance data. Document training materials for future Inside Sales hires. Learning Outcomes By the end of the internship, the intern will: Understand the fundamentals of B2B business development and inside sales. Gain hands-on experience with CRM systems and data management. Learn how to craft and implement an outreach and lead qualification strategy. Develop analytical skills through tracking and interpreting sales performance data. Experience working cross-functionally with sales and marketing teams. Requirements Preferred Qualifications Currently pursuing a Bachelor's degree in Business, Marketing, Sales, or a related field. Strong analytical and research skills. Excellent written and verbal communication skills. Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint). Experience with CRM software (HubSpot, Salesforce, or similar) is a plus. Self-starter with strong organizational and project management skills.

Looking for a job that combines teaching, adventure, and the outdoors? Spend your season at Tanglewood 4-H Learning Center, leading youth in environmental education, trips, campfires, and community building. You'll gain real-world experience, build leadership skills, and make lasting memories all while working in one of Maine's most beautiful outdoor classrooms. Statement of the Job: As an Intern, you will be based at Tanglewood 4-H Camp in Lincolnville, Maine. This internship is designed as a learning opportunity for individuals eager to grow from student supervision into outdoor teaching and leadership roles. You will actively engage with staff and students during daily activities, lessons, and meals, while also receiving training and mentorship to begin leading lessons in environmental education and Maine ecology. Interns live on-site, in a vibrant camp community, gaining first-hand experience in youth development, outdoor leadership, and environmental stewardship. Stipend is $3,000 - $3,375 for about 8 weeks, paid in bi-weekly installments. We are not able to consider applicants who require Visa sponsorship support. Complete Job Description Qualifications: Required: Prior experience working with children in a camp, school, or recreational setting. Enthusiasm for learning to teach and lead youth in outdoor environments. A genuine motivation to work with children in a high-energy, nature-based setting. Responsible decision-making skills to ensure camper safety and well-being. Preferred: Familiarity with outdoor living skills, natural sciences, or ecology. Experience leading groups (even informally) and a desire to grow into an educational leadership role. Willingness to carry a small backpack with teaching supplies and a first aid kit while supervising activities. Exposure to or interest in activities such as hiking, canoeing, fishing, archery, riflery, or outdoor cooking. About Tanglewood 4-H Learning Center: The 4-H Camp and Learning Centers provide environmentally focused programs for Maine youth and families. Our mission is to teach youth and adults to be effective and caring citizens of the earth through affordable environmental education and fun nature-based experiences. Tucked into a parcel of Camden Hills State Park, participants and staff join together to form a creative community fostering a supportive and fun environment for all - and drawing people back year after year! While having fun and experiencing the joys of being a part of the natural world, we emphasize community living, respect for all, and healthy relationships. Our programs encourage everyone to be themselves, learn from those around them, and make good decisions. Other Information: To be considered for this position, you will need to “Apply” and either upload the documentation listed below: 1.) a cover letter which describes your experience, interests, and suitability for the position 2.) a resume/curriculum vitae OR Fill out your education and work history in the application where requested. Candidates selected to proceed to the final stages of the search process will be requested to provide a list of names and contact information for three references. Incomplete application materials cannot be considered. Materials received after the initial review date will be reviewed at the discretion of the University. These materials are reviewed on a weekly basis. Materials must be submitted by 4:30 p.m. EST on June 1, 2026 to be considered for Summer 2026. For questions about the search, please contact Jessica Decke. The successful applicant is subject to appropriate background screening. The University of Maine System (the System) is an equal opportunity institution committed to fostering a nondiscriminatory environment and complying with all applicable nondiscrimination laws. Consistent with State and Federal law, the System does not discriminate on the basis of race, color, religion, sex, sexual orientation, transgender status, gender, gender identity or expression, ethnicity, national origin, citizenship status, familial status, ancestry, age, disability (physical or mental), genetic information, pregnancy, or veteran or military status in any aspect of its education, programs and activities, and employment. The System provides reasonable accommodations to qualified individuals with disabilities upon request. If you believe you have experienced discrimination or harassment, you are encouraged to contact the System Office of Equal Opportunity and Title IX Services at 5713 Chadbourne Hall, Room 412, Orono, ME 04469-5713, by calling ************, or via TTY at 711 (Maine Relay System). For more information about Title IX or to file a complaint, please contact the UMS Title IX Coordinator at ************************ Clery Act The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, or Clery Act, mandates that all Title IV institutions, such as the University, prepare, publish and distribute an Annual Security Report, (ASR) and provide notice of the availability of the ASR to all prospective employees. This report consists of two basic parts: disclosure of the University's crime statistics for the past three calendar years; and disclosures regarding the University's current campus security policies. You may view the University's Annual Security Report. If you wish to have a paper copy of the ASR or you need to have a copy of the ASR in an accessible format, the University will provide such a copy upon request. Please contact: UMaine Police Department, 81 Rangeley Rd., The University of Maine, Orono, ME 04469-5794, or call ************.