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Assistant Professor Data Science-Mathematical Sciences Non-Tenure Track Montana Technological University provides a comprehensive benefits package for all eligible positions that includes health, dental and vision insurance, mandatory retirement plan with employer contribution, partial tuition waiver, and a wellness program. The University is NOT able to support Visa applications for this position. Applicants must already be eligible to work and have the ability to arrive in the United States without the University's support to be considered for this position. Applications received by March 16, 2025 will be guaranteed full review and consideration. Applications received after that date may be considered until an adequate applicant pool has been established. The Department of Mathematical Sciences at Montana Tech is pleased to announce an opening for an Assistant Professor (non-Tenure track) with Data Science expertise and/or research interests. This position is contingent on funding. Montana Technological University, a regionally accredited college in the heart of the Rocky Mountains, primarily offers degrees in the sciences and engineering. The Mathematical Sciences Department offers undergraduate majors in Mathematics (with options in applied mathematics and statistics) and Data Science. The normal teaching load for this position is 3-6 credits per semester with a maximum of 9 credits per year. The primary responsibilities will include conducting research with members of the INBRE network and running professional development workshops related to Data Science techniques. Additional responsibilities could include, but are not limited to, advising Data Science majors, overseeing capstone projects, and designing courses and curriculum for the Data Science program. Duties: The normal teaching load is 3-6 credits per semester with a maximum of 9 credits per year. The primary responsibilities will include conducting research with members of the INBRE network and running professional development workshops related to Data Science techniques. Additional responsibilities could include, but are not limited to, advising Data Science majors, overseeing capstone projects, and designing courses and curriculum for the Data Science program. Required Qualifications: PhD in Data Science, Mathematics, Statistics or related field awarded by start date Demonstrated research expertise in data science areas such as: Machine/deep learning, big data mining and analytics, topological data analysis, data driven modeling and prediction, rich media data processing, database systems for analytics, quantitative social science, statistical learning, etc. Effective oral and written communication skills Ability to teach courses using Python and R Preferred Qualifications: Previous teaching experience at the college level in mathematics, statistics, and/or Data Science Experience working with health related data You are required to upload the following documents in your application: One page statement of current research interests List of courses taught in the past three years Copies of graduate transcripts, unofficial transcripts are acceptable. For full consideration application materials must be complete. Please include: Cover letter addressing qualifications, Resume Contact information for 3 professional references. One page statement of current research interests List of courses taught in the past three years Copies of graduate transcripts, unofficial transcripts are acceptable. For full consideration application materials must be complete. Any offer of employment is contingent upon a satisfactory criminal background check. Montana Tech is committed to providing a working and learning environment free from discrimination. As such, the University does not discriminate in the admission, access to or conduct of its educational programs and activities nor in its employment policies and practices on the basis of race, color, religion, national origin, ethnicity, creed, service in the uniformed services (as defined in state and federal law), veteran status, gender, age, political beliefs, marital or family status, pregnancy, physical or mental disability, genetic information, gender identity, gender expression, or sexual orientation or preference. In support of the University's mission to be inclusive and diverse, applications from qualified minorities, women, veterans and persons with disabilities are highly encouraged. Montana Tech makes accommodation for any known disability that may interfere with an applicant's ability to compete in the hiring process or an employee's ability to perform the duties of the job. In compliance with the Montana Veteran's Employment Preference Act, Montana Tech provides preference in employment to veterans, disabled veterans, and certain eligible relatives of veterans. To claim veteran's preference please complete the employment (veteran's) preference form located on the employment page and email to humanresources@mtech.edu. You must include the job title of the position in which you are applying. Employment (veteran's) preference form To request an accommodation for the application or interview, please contact Cathy Isakson 406-496-4380; cisakson@mtech.edu Why Work at Tech? Help meet the changing needs of society by providing a transformative student experience by helping develop leaders for tomorrow by advancing science, engineering and technology. In addition, Montana Tech offers an attractive benefits package* which includes: Medical, Dental, and Vision Insurance with low deductibles and comprehensive coverage. Generous employer contribution toward monthly health care benefits worth $6.08 per hour. 5.9% retirement employer contribution for eligible employees 11 Holidays per year 3 weeks of Annual Leave to start Generous sick leave policy that can be used for sick children, doctor and dentist appointments as well as bereavement. 6 credits of coursework free per year (fees not included) Life and Disability Insurance Reduced tuition for dependents after 4 months of employment for eligible employees Employee Assistance and a Wellness Program Optional Retirement Plan for eligible employees Possible remote work days with supervisor approval and eligible positions. Benefits are dependent on position type and terms and conditions of eligibility. Montana Technological University, Butte Montana, is nestled in the Heart of the Rocky Mountains along the Continental Divide, where I-15 and I-90 intersect. We are home to the largest National Historic District in the country. Montana Tech is a special focus institution with a reputation for excellence and value. Montana Tech is ranked #1 in the nation by CollegeNET.

Department Booth Advancement: Advancement Services 2 About the Department The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and second to none when it comes to influencing business education and business practices. Since 1898, the school has produced ideas and leaders that shape the world of business. Their rigorous, discipline-based approach to business education transforms students into confident, effective, respected business leaders prepared to face the toughest challenges. Chicago Booth has the finest set of facilities of any business school in the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago Booth is proud to claim: an unmatched faculty. degree and open enrollment programs offered on three continents. a global body of nearly 56,000 accomplished alumni. strong and growing corporate relationships that provide a wealth of lifelong career opportunities. As part of the world-renowned University of Chicago, Chicago Booth shares the University's core values that shape the distinctive intellectual culture. At Booth, they constantly question and test ideas, and seek proof. This extraordinarily effective approach to business leads to new ideas and innovative solutions. Seven of the Booth faculty members have won Nobel Prizes for these ideas - the first business school to achieve this accomplishment. For more information about the University of Chicago Booth School of Business, please visit: http://www.chicagobooth.edu/ . Job Summary The Senior Associate Director, Analytics and Data Science, leads the Analytics and Data Science teams in delivering insights that drive Chicago Booth's fundraising and alumni engagement strategies. This role manages team performance, prioritizes projects, and supports staff development in coordination with the Director of Analytics and Business Intelligence. The Senior Associate Director also leads staff database training, supports adoption of reporting tools, and ensures alignment with data governance standards through collaboration with Advancement teams and University partners. The Senior Associate Director oversees the development of data products, dashboards, and reports for a wide range of stakeholders, including senior leadership, while maintaining best practices in data delivery and documentation. This position ensures effective internal communication around technology and data changes, promotes cross-campus data collaboration, and identifies opportunities to improve data processes. A strong commitment to data quality, user support, and innovation is essential to the role's success. Responsibilities Provides program leadership for the Analytics and Data Science teams including coaching of team members, and initiation and execution of projects and processes. Supervises, manages, and mentors a team of three full-time staff, strategically identifying daily tasks, projects, and professional development in collaboration with the Director, Analytics and Business Intelligence. Works collaboratively with other members of the Advancement Operations teams, program managers, frontline staff, and senior leaders to implement applicable data delivery strategies. Serves as the lead for staff database training, including the creation of training materials and programs. Works with Data Integrity to develop new data governance protocol and improve existing guidelines to enable enhanced reporting opportunities. Supports and develops data products that support Booth Advancement's fundraising and alumni engagement goals and strategies, including interactive data products, process documentation, reports, and presentations for senior leadership. Stays current on industry trends and practices through associations, professional colleagues, and other sources. Serves as a resource to departments across Chicago Booth, including Admissions, Executive Education, and Research Centers, on matters involving data access and information sharing. Liaise with other senior managers and project leaders in Alumni Relations and Development on technology, reporting, and data delivery initiatives. Identifies opportunities to improve business processes and propose solutions that advance the mission of the department. Ensures compliance with University data governance policies across all tasks and projects. Has a deep understanding of prospect research, prospect management, strategic planning and market research on donors prospects. Provides guidance to research analysts, train staff members on fundraising, report writing, and research. Performs other related work as needed. Minimum Qualifications Education: Minimum requirements include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline. Certifications: -- Preferred Qualifications Education: Bachelor's degree. Experience: Minimum five years of experience in a fundraising or non-profit environment, with at least five years of experience analyzing and synthesizing data to produce clear, actionable reports and presentations. Previous management experience, including direct supervision of staff. At least two years of management experience. Technical Skills or Knowledge: Proficient with fundraising databases such as Salesforce. Demonstrated skill and knowledge of, or ability to learn quickly, the internal workings of the University as well as the technology tools available to the Office of Alumni Relations and Development, including the University's alumni database. Proficient in Microsoft Windows computer environment, Microsoft Outlook, Word, Excel, PowerPoint and Access. Proficiency with Tableau or similar data visualization software. Knowledge of SAP Business Objects or Structured Query Language. Awareness and interest in emerging techniques in machine learning and Big Data. Preferred Competencies Support multiple projects simultaneously, set priorities, and meet deadlines. Excellent analytical and quantitative skills, including interpret information and translate findings to stakeholders. Excellent database skills, achieve expert status on standard and proprietary databases, and flexibility in working with new programs in an emerging and changing environment. Superior verbal and written communication skills and demonstrated ability to articulate complex ideas clearly, accurately, and concisely. Knowledge of current trends in fundraising and alumni relations, including benchmarking and metrics. Strong attention to detail and strong commitment to customer service. Scrupulous attention to matters of discretion and confidentiality. Working Conditions This position is currently expected to work a minimum three days per week in the office. Travel to campus and/or non-campus locations for University business. Work evenings and weekends on occasion. Application Documents Resume/CV (required) Cover Letter (required) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Job Family Alumni Relations & Development Role Impact Individual Contributor Scheduled Weekly Hours 37.5 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary FLSA Status Exempt Pay Range $85,000.00 - $110,000.00 The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting. Benefits Eligible Yes The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. Posting Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us. The Director, HRBP for Informatics and Predictive Sciences, and Global Biometric Data Science provides strategic people partnership to senior leaders across our Research and Development organizations. Additionally, this role will serve as the research function lead for change management as well as digital talent strategies and will work in close partnership with counterparts in the Development and Commercialization HR functions as well as the relevant Centers of Expertise (CoEs). This role provides HR leadership in driving the people strategy, workforce planning, organizational design, talent management, team effectiveness, and change management. The client group may be present in multiple BMS locations/geographies/global functions, requiring close alignment with the People Org and function leadership to ensure pull-through of workforce planning and talent strategy. Key Responsibilities: Provides strategic HR Business Partner expertise to Informatics and Predictive Sciences, and Global Biometric Data Science to maximize organizational performance. Leverages business strategy, people strategy, external best practices and organizational insights to deliver bold and innovative organizational and talent solutions, including organizational design, workforce planning, talent management, and culture change. Aligns corporate and functional strategies with BMS people strategy, monitoring the effectiveness of organizational performance programs through metrics and analytics to bring value through the business. Collaborates with Centers of Excellence (COE's) to monitor external environment (e.g., job market, technology, demographic development) and define future workforce requirements (quantitative and qualitative) as well as identifying and articulating the People needs of the business to the COE's and deploys their programs and processes in ways that bring value to the business. Drives the ONE People team across the region and provides guidance and collaborates with therapeutic area HR Business Partners, COEs and People Services leaders for effective global deployment of People activities. Analyzes key data and trends to drive organizational effectiveness and the development of a workforce plan aligned with business strategy and objectives. Supports succession planning, talent retention efforts and pipelining, as necessary, for external talent. Serve as Research Partner Lead for digital enablement, transformation, and change, inclusive of projects such as workforce planning, digital tool development, and culture plans that elevate the role of digital and automation Additional Responsibilities Role Model our BMS Values of Integrity, Innovation, Urgency, Passion, Accountability, and Inclusion. Ensures end-to-end org design, encompassing communication and effective change management. Translate business strategy and organizational needs into contemporary organizational solutions including organizational design, inclusion and diversity, succession & talent management, and culture change. Collaborate across the People OP Model (COE's, People Services) to articulate business needs and partners in delivering solutions in ways that bring value across the enterprise. Applies judgment to data insights and trends to support business talent and organization decisions that drives organizational effectiveness and innovative and robust workforce planning, engagement strategies, and succession management Shape and lead change management efforts to ensure delivery of organizational solutions, programs, and deliverables. Requirements: BA/BS Degree, Advanced Degree preferred, and 10+ years of HR relevant business experience Proven leadership effectiveness in followership, innovation, people program/project management, and executive coaching, demonstrating the ability to inspire and guide teams, foster a culture of creativity and continuous improvement, manage complex projects and programs efficiently, and provide strategic coaching to senior executives to enhance their leadership capabilities. Expertise in talent management, including end-to-end talent acquisition, performance management, engagement, and diversity, equity, and inclusion. Demonstrated experience utilizing data and analytics to drive business and talent decisions, including data analysis, insights generation, data visualization, data integrity, and diagnostic capabilities. Demonstrated behavioral skills in curiosity, learning agility, and growth mindset. Exhibit understanding of regulatory compliance, including the human elements and implications to enterprise and business. Demonstrated strength in strategy and business acumen by influencing and shaping business strategy through people strategy, anticipating external trends, providing context and influence for organizational effectiveness, applying systems thinking, and using a diagnostic mindset to improve talent and business outcomes. Extensive experience in business partnering, including organizational savvy and influence, consulting, performance management, organizational design, change management, and significant leadership skills in building and leading global, diverse teams of People professionals. Extensive experience as an HR business partner with significant leadership skills leading and working across global, diverse teams of HR professionals. Proven success in working effectively at senior management levels to impact and influence decision-making. Experience working with global teams. Experience in leading change management efforts, including defining change and communication plans. Experience in the use of metrics and analytics in a way that drives business performance. Demonstrated experience in applying workforce planning knowledge, engagement strategies, and succession management. Proven experience in working effectively within a matrixed environment and building alignment in a cross-functional and team environment. Knowledge of external trends and factors that influence human behaviors and decision-making at the individual, group, and organizational level. The starting compensation for this job is a range from $188,00-$228,00 , plus incentive cash and stock opportunities (based on eligibility). The starting pay rate takes into account characteristics of the job, such as required skills and where the job is performed. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/ . Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program. #LI-Hybrid If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as "Transforming patients' lives through science ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Are you ready to make an impact? West Monroe is seeking a Director, Data Science for our rapidly growing Technology and Experience practice. As a Director Data Science, you will join a Leadership Team focused on cultivating teams that leverage data to unlock actionable insights for our clients, while mentoring the next generation of data science leaders at West Monroe. This role entails significant responsibility in shaping and delivering our Analytics vision; candidates should be passionate about what they do and be prepared to embrace West Monroe’s fast-growing and entrepreneurial environment. This leadership role will have three areas of responsibility: Practice Development Collaborate with national and local leadership within Data Engineering & Analytics practice and across West Monroe (WM) industry and functional practices, to develop and deliver multi-disciplinary, data-driven offerings Actively lead innovation activities, often in partnership with industry and functional experts and data engineers, to expand and enhance WM’s Analytics solutions and capabilities Develop knowledge of emerging data science techniques; socialize and teach concepts to WM data science community Lead, mentor and grow consultants and actively participate in the career advisory and performance management process Actively participate in recruiting and retaining top quality data scientists Client Delivery Provide quality assurance and conduct frequent touch bases with client executives to ensure value is realized and understood from our engagements Manage and influence multi-disciplinary teams to translate client business objectives into data and analytics solutions; collaborate with data engineering, industry, and product teams to deliver impactful results for our clients Develop and deploy data-driven offerings and accelerators focused on addressing industry-specific challenges Provide leadership and mentorship for teams of data scientists on analytical techniques, and guide the translation of insights into actionable recommendations across multiple projects Excellent communication skills to be able to work with client representatives at all levels Establish and maintain relationships with external data and analytics vendors Business Development Engage with business partners across the firm to identify and cross sell opportunities Cultivate new and existing client development opportunities related to data and analytics Understand client needs to translate challenges and objectives into proposals Develop thought leadership in leading analytics techniques, including how to apply emerging ML techniques to deliver commercial results Attend conferences and networking events to further WM’s brand and market perception related to data and analytics   Qualifications Preferred Master's degree or PhD in a quantitative discipline (e.g., computer science, applied statistics, mathematics, econometrics, engineering) or equivalent experience 10+ years of technical experience in machine learning and statistics related work 5+ years of experience managing data scientists Demonstrated ability to apply advanced analytical and data science methods to commercial scenarios Extensive programming experience in Python or R Extensive experience designing and deploying machine learning solutions, including experience with leading cloud platforms (AWS, GCP, Azure) and corresponding machine learning services Ability to collaborate with WM team members across the firm (e.g., levels, geographies, practices) Strong presentation and communication skills, including the ability to explain complex technical concepts to non-technical audiences Entrepreneurial spirit and willingness to innovate on new and emerging solutions Legally authorized to work in the United States without limitation Ability to Travel, as required based on client and practice demands (expected to be 30%) Based on pay transparency guidelines, a reasonable expectation for the salary range for this role is listed below. Information on our competitive total rewards package, including our bonus structure and benefits is here .  Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity.​ Employees in proximity of our Seattle, Washington DC, Los Angeles, New York, and San Francisco offices will have a geographic premium applied to this salary scale.  Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Ten weeks of paid parental leave will also be available for use after successful completion of one year of employment.​   National $212,000 — $240,000 USD West Monroe is a digital services firm that partners with companies in transformative industries to deliver quantifiable financial value. We believe that digital is a mindset and it’s something companies become, not something they do. We bring together diverse, multidisciplinary teams that use their expertise to develop and execute new ideas and ways of working.    At West Monroe, we invest in our people and care in a big way. We are growing the next generation of leaders who lead with inclusion, enabling us to address our clients’ most complex challenges. If you’re looking for a place where you’ll feel supported, our team will help you grow. We believe that growth breeds opportunity for all. And know that when we come together, we can do what's never been done.   Our fast-paced culture and collaborative teams bring the energy and expertise needed to make an impact and deliver beyond expectations. If you are ready to set big goals with us , j oin us on our journey of building what matters for our clients, our people, and our communities.   West Monroe   is an Equal Employment Opportunity Employer   We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion .   If you are based in California, we encourage you to read West Monroe’s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here .  

This role is not open to visa sponsorship or transfer of visa sponsorship including those on OPT and STEM-EXT OPT, nor is it available to work corp-to-corp. This role requires a hybrid schedule and will be based in our Fort Mill, SC Headquarters (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week. We are looking to hire a Senior Data Science Product Manager to join our Deregulated Energy industry group on our marketplace business. This product team is responsible for transforming our sales center, digital buy flows, and our business operations through applications in AI & ML. This group focuses on both building the underlying technology and applying the applications to the business opportunities to create value. Example projects include building agentic workflows for site personalization and real-time technology, powered by generative AI, to assist our sales professionals. In this role, you will have the opportunity to own product life cycles from end to end. You will be responsible for establishing our strategy, setting roadmaps for the team, driving adoption of our machine-learning-driven applications, creating value, and utilizing end-user feedback to determine what to do next. We expect our data science product managers to be hands-on technical, both in how they leverage data to identify opportunities and leverage the team’s AI/ML solutions to drive business value and usage. We are looking for individuals who have experience in a hands-on role such as a data scientist or data analyst given some portion of this job will expect you to roll up your sleeves and get into the data. This role will have a high level of visibility across the industry group. You will be the point-person for a key initiative with multiple senior stakeholders while working cross-functionally across the greater Energy and our Central Technology teams. Your contribution to the organization will be multifaceted – we are looking for someone who has a strong data foundation, can effectively collaborate with their development team, and can influence business decisions using their expertise and communication skills. We believe that diverse, inclusive teams are better teams. Think of the bullets below as guidelines: if you only partially meet the qualifications on this posting, we encourage you to apply anyway! This is a hybrid position located in our South Charlotte office. What You'll Do Operate as the day-to-day lead on a strategic initiative, ensuring alignment with product leadership, business objectives, and customer needs. Identify opportunities, form the business case, and establish the strategy for data science-powered applications, assessing the feasibility, impact, and business value of AI/ML solutions. Translate high-level objectives into cohesive roadmaps and detailed technical deliverables, guiding engineering and data science teams through execution, and effectively delegating to junior product teammates. Own outcomes - lead hands-on execution in delivery, driving business value through KPI identification, experimentation, and optimization, creating case studies and playbooks for others to replicate. Solve our hardest problems - this may be owning our most complex / ambiguous workstreams or it may be hands-on technical/ML contributions to proof-of-concepts / prototypes to demonstrate feasibility and value of potential investments.  Mentor and develop junior DSPMs, helping them take ownership of workstreams, build product sense, and apply technical skills to drive business outcomes. Who You Are You have an entrepreneurial mindset with strong business acumen and are capable of coming up with data-driven ideas to create value for consumers and the business You have a strong technical and data foundation that enables you to communicate effectively with data scientists, understand relevant algorithms, get your hands dirty, and explain technical concepts to non-technical stakeholders. You are results-oriented. You can guide a team to focus on the activities that will drive the largest lift to targeted metrics You are a proactive problem solver. You can discern input from multiple stakeholders, integrate data-driven insights with intuition, and prioritize workstreams effectively to maximize effectiveness and efficiency. What We're Looking For Demonstrated ability in driving business decisions and behavior changes through machine learning and advanced analytics capabilities. Experience influencing cross-functional leadership, negotiating trade-offs, and making high-impact product decisions in ambiguous and fast-paced environments. Demonstrated ability to help identify areas of opportunity where ML/AI could be applied and experience contributing to the creation of the final product - either hands-on or in a product management capacity Hands-on experience in data-related programming languages (e.g., SQL, Python, R)  Excited about solving problems through consumer-facing solutions on a digital marketplace. Compensation Cash Compensation Range: $150,000-$185,000* + Potential Equity *Note actual salary is based on geographic location, qualifications, and experience. Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Paid Time Off Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Who We Are Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit https://redventures.com and follow @RedVentures on social platforms. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.  We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com .  If you are based in California, we encourage you to read this important information for California residents linked here . #LI-KS1 #LI-TL1 Click here for more details regarding the employee privacy policy:  https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to  employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

Skip the “entry-level grunt-work,” and start making a real impact on Day 1. As part of the Red Ventures Launch program internship, you’ll find unparalleled opportunities to gain exposure to the role and learn what it’s like to work at RV over the 10-week summer internship period with the goal of getting a full-time return offer for the following summer. You’ll start with a large cohort of interns who will be your community as you navigate the RV internship environment together. You will experience in-depth onboarding and extended training to help you learn the ropes, accelerate your growth, and further hone your skills. After getting ramped up, you will join your assigned RV team, meet your manager and mentor, and gain hands-on industry experience to invest in your career growth. Interns will also get the chance to get to know the Charlotte area and the RV culture through engagement events and social impact opportunities. The Launch Program internship is NOT a chance to sit on the sidelines to learn how we do things. It’s your chance to dive in headfirst and take advantage of a 10-week vision into the work we do, learn from our top mentors, and get a jump start into your Red Ventures career while still in school. This role will be based out of our South Charlotte location Monday-Thursday, with remote work on Fridays. We believe successful Data Science Product Managers have a wide set of experiences and skill sets in the data domain. This hybrid position will give you hands-on exposure to data science, data analysis, and product management.   What You'll Do: As a Data Science Product Manager Intern, you will play a critical supporting role in connecting data science initiatives with product solutions to deliver value to both our business and customers. Support the identification of opportunities to enhance product impact by gaining a foundational understanding of the problem space, product strategy, and underlying technology. Assist in analyzing user and business data to provide insights into product improvements. Participate actively in the end-to-end lifecycle of a specific product experiment, including planning, development, launching, data collection, analysis, and presenting findings to your team. Develop and apply technical skills by working on technical workstreams with mentorship. Tasks may include: Assisting in building data pipelines to collect, prepare, and visualize datasets Supporting the creation and evaluation of machine learning models in offline or proof-of-concept scenarios Helping create prompts or workflows involving Large Language Models (LLMs) to automate simple tasks or enhance product features Who you are: Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation. Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles. Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact. Showcases high EQ - can collaborate effectively in a team environment.   Experiences you've had: Graduating with a Bachelor's degree in Winter 2025 or Summer 2026. Unfortunately, we are not able to accept Master's students at this time. June 2nd, 2025 start date in our Fort Mill, SC office (just outside of Charlotte, NC). Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau). Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT). Thorough knowledge in statistics and machine learning techniques. Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences.   Compensation and Work Perks: Cash Compensation Range: $3,653.84 per bi-weekly pay period Subsidized meals at our onsite cafe, smoothie bars and coffee bars (aka $5 for a made-to-order salad, sandwich, pizza, or sushi, or $2 for a delicious smoothie or latte) Premier fitness center with Peloton bikes! Tennis, pickleball and basketball courts. A yoga studio and more! Casual dress code – yes, that means jeans!   Who We Are Red Ventures is a global, multi-faceted company with a start-up mentality. Founded in 2000 with a focus on establishing strategic partnerships with Fortunate 500 companies, we grew rapidly within those first 10 years, quickly becoming a unicorn by utilizing our proprietary technologies to win in the digital marketing space. In 2015, we entered the age of acquisitions and began growing our own portfolio of owned and operated businesses. Over the subsequent years we diversified the types of industries we worked in and now work with over 100 brands. Every day, we help millions of people discover pertinent information that helps them make some of life's biggest decisions, from their health to their home to their finances, among the plethora of industries in which we operate. Whether you work with a brand you know or a brand you've never heard of, you'll know that your work is being seen and making a difference. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact [redacted].   #LI Click here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice Click here for more details regarding the employee privacy policy:  https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to  employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

RaceTrac Company Overview Job Description: The Director, Enterprise Data Science is a cornerstone leader within the Enterprise Strategic Analytics + Data Science team (ESADS), tasked with driving innovation, data science excellence, and operational success across the organization. This role combines technical depth with strategic vision to deliver cutting-edge solutions in Statistical Data Science and Mathematical Optimization (Operations Research). The Director, Enterprise Data Science collaborates closely with Strategic Analytics Partners (SAPs) to ensure alignment with business objectives, while fostering a culture of excellence and continuous improvement within the data science discipline. Additionally, this role guides and supports their team, providing mentorship on designs and approaches, and partners with the business alongside the SAPs to ensure seamless integration of data science solutions with strategic goals. Responsibilities: Scope of Role: Lead the design, development, and delivery of advanced data science solutions that address critical business challenges and opportunities within the ESADS framework. Serve as the primary thought leader for innovation in data science, driving the adoption of cutting-edge methodologies, tools, and best practices. Build and maintain strong partnerships with Strategic Analytics Partners to align technical solutions with strategic business priorities and deliver measurable impact. Guide and mentor the data science team, ensuring high-quality designs, approaches, and delivery of solutions. Partner with the business alongside Strategic Analytics Partners to ensure alignment and integration of data science solutions with broader business objectives. Champion the use of AI/ML and optimization techniques, ensuring their application delivers scalable, repeatable, and high-value outcomes. Day-to-Day Activities: Oversee the end-to-end lifecycle of data science projects, from ideation and prototyping to production and monitoring. Collaborate with cross-functional teams to identify opportunities for leveraging data science to create business value. Conduct rigorous reviews of statistical and optimization models to ensure they meet business needs, technical standards, and ethical guidelines. Mentor and develop a high-performing data science team, fostering technical expertise, innovation, and career growth. Represent ESADS in high-visibility meetings and presentations with executive leaders to communicate progress, insights, and strategic recommendations. Be a vocal and visible leader in our AI Education, Innovation, and Governance team. Expected Outcomes: Deliver transformative data science solutions that enhance decision-making, operational efficiency, and competitive advantage. Elevate the analytical maturity of the organization by integrating predictive and prescriptive analytics into business processes. Demonstrate measurable impact through successful implementation of advanced data science initiatives, with impact explicitly measured in terms of ROI, that align with ESADS’ value-driven objectives. Complexities: Navigate highly complex and ambiguous problems, balancing technical depth with strategic alignment to meet organizational goals. Manage competing priorities across multiple projects while ensuring adherence to timelines, budgets, and quality standards. Manage competing priorities across multiple projects while ensuring adherence to timelines, budgets, and quality standards. Maintain a dual focus on fostering innovation and ensuring operational excellence in the delivery of data science solutions. Qualifications: Required Experience: Master’s or PhD in Data Science, Operations Research, Applied Mathematics, Computer Science, or a related field. Minimum of 10+ years of experience in data science roles, with a proven track record of delivering high-impact solutions in Statistical Data Science and Mathematical Optimization. Extensive experience with AI/ML technologies, optimization algorithms, and large-scale data processing frameworks. Demonstrated expertise in tools such as Python, R, SQL, Databricks, and visualization platforms like Tableau or Power BI. Significant experience working in cross-functional teams and influencing stakeholders at all levels of the organization. Demonstrable experience with one or many of the following: Demand Forecasting, Flexible Segmentation (Customer, Performance, Weather, etc.), Network Optimization, Predictive Maintenance/Service, Predictive Customer Churn, Price Optimization, Risk Modeling, Marketing Mix Modeling, Customer Journey Analytics, Predictive Staffing Optimization, Staff Attrition/Retention Risk, Next Best Product/Offer, Customer Elasticity (Market Response Modeling), Assortment Optimization, Customer Loyalty Effectiveness/Optimization Beneficial Experience: Previous leadership experience managing data science teams and projects in enterprise environments. Consulting experience in analytics-driven industries, such as retail, logistics, or financial services. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud, Palantir) and MLOps best practices. All qualified applicants will receive consideration for employment with RaceTrac without regard to their race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

Play an integral role in the development of an ML ops framework for cyber incident detection. This is a project with high visibility that seeks to revolutionize cyber hunting. The role is multifaceted and will enable the contractor to strengthen and broaden skills in the areas of data engineering, ML, and cyber threat hunting and pen testing.

We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. The Crown Is Yours We are looking for a Senior Data Science Engineer to join our Casino Reinvestment team, where we focus on understanding and optimizing how players engage with our iGaming products over time. As a Senior Data Science Engineer, you will be responsible for building advanced models and algorithms, analyzing large-scale behavioral datasets, and driving measurable impact through experimentation and productionized solutions. This role marks your first promotion from an entry-level position, recognizing your capability to deliver high-quality output and break down moderately sized problems into manageable chunks. What you'll do as a Senior Data Science Engineer Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment. Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Casino product engagement. Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems. Mentor junior data scientists and share modeling and engineering best practices across the team. Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy. What you'll bring Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts. Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms. Ability to independently structure and execute data science projects and deliver business value through production-ready models. Excellent communication and collaboration skills to work effectively across technical and non-technical teams. A Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 120,800.00 USD - 151,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Site Name: USA - Maryland - Rockville Posted Date: May 30 2025 The Manufacturing Science and Technology (MSAT) organization is a site-based technical team responsible for ensuring manufacturing processes are capable, compliant and productive while maintaining product quality. The site MSAT team is also responsible for delivering continuous improvements to the existing supply chains supported at the Rockville site and working with global MSAT implement process-related improvement programs across the product lifecycle. The Associate Director, Manufacturing Data Science serves as the site MSAT leader in the data and analytics space, supporting site initiatives and implementation of smart manufacturing principles in collaboration with the site digital and analytics teams and driving innovative solutions to complex technical problems. He or she will lead a team of data scientists and engineers to facilitate delivery of product and process data solutions in biologics manufacturing environment. This team will leverage data as a key asset to accelerate technology transfer and simplify validation processes, support continuous improvement for established commercial processes, and enhance technical understanding of biopharmaceutical manufacturing. The role will be expected to support technical development of the MSAT organization, promoting technical and leadership capability to develop a high performing MSAT team and improving the data literacy and capability of the MSAT organization. This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following… Serve as the technical leader for data science and analytics capabilities for the MSAT team at Rockville Biopharm Accountable for the development and deployment of the strategic data and analytics plan for the Rockville MSAT Team, in collaboration with other site and central digital and analytics teams Lead a team of scientist and engineering to provide sound data analysis through several statistical methods in support of deviations, investigations and RCA Develops capability roadmaps for the newly formed Digital and Data Analytics Team Questions status quo and develop novel approaches to data mining Perform on a daily basis a wide array of biostatistical and data science techniques: multivariate analysis, machine learning and basics statistical analysis and visualization Drive innovation through leading continuous improvement for technical processes or systems and championing introduction of novel technologies, including new modeling platforms and approaches (first-principle modeling, CFD, machine learning), digital systems and visualizations, and process analytical technologies (PAT) Manages relationships with key internal (i.e. digital, data, analytics, production, engineering, quality) and external (i.e. central and external MSAT teams, tech, R&D) partners to deliver technical objectives and implementation of novel data and analytics platforms and technologies Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Bachelors degree with 12+ years post-graduate experience in the Biopharmaceutical/pharmaceutical industry or equivalent with significant emphases on digital, data, and analytics OR MS or PhD with 10+ years post-graduate experience in the Biopharmaceutical/pharmaceutical industry or equivalent with significant emphases on digital, data, and analytics In-depth experience with digital, data, and analytics techniques in the pharmaceutical industry Experience biopharmaceutical manufacturing (upstream / downstream) is required Familiarity and experience with relational databases, statistical software (i.e. SAS, SIMCA, JMP or WebStatistica), modeling and visualization software (i.e. Python, R, Matlab, MS Power) Experience of developing or applying techniques such as pre-processing, classification, regression, clustering, dimensionality reduction and model selection Experience with manufacturing / engineering environments including systems such as IP-21, M-ERP, LIMS, Aspen eBRs Knowledge of GMPs and major regulatory agency regulations, specifically as they relate to data science or data validation Preferred Qualifications: If you have the following characteristics, it would be a plus: MS or Ph.D. in data/computer science or engineering, biological or chemical science or engineering or equivalent technical discipline Strong interpersonal and leadership skills to manage a technical team and cross-functional teams. Prior experience managing a team or matrix team preferred Strong verbal and written communication skills particularly in the area of technical and regulatory related matters. Able to present data science / statistical methods to non-statistical team members Able to interact well with peers, subordinates, and senior personnel in scientific, quality, engineering and operational disciplines. Embraces a team-based culture Demonstrates initiative to solve problems, effective at making and implementing decisions #LI-GSK The annual base salary for new hires in this position ranges from $136,125 to $226,875 taking into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US). GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

Worth is seeking an experienced and visionary Director of Data Science to lead the development and deployment of machine learning and statistical modeling solutions that drive business impact across our organization. This individual will guide a team of data scientists and partner with cross-functional stakeholders to build scalable, production-grade models for both analytical and product applications. The ideal candidate brings a strong foundation in predictive modeling, statistical analysis, and machine learning, with proven leadership experience in building data science teams and influencing strategic decisions. Expertise in areas such as NLP, computer vision, or reinforcement learning is highly desirable. This role requires exceptional communication skills and the ability to distill complex insights into clear, actionable recommendations for executive audiences. Responsibilities Lead, mentor, and scale a high-performing team of data scientists while fostering a culture of innovation, collaboration, and continuous learning. Oversee the end-to-end development of machine learning models—design, training, validation, and deployment—within cloud-based production environments. Partner with product, engineering, and business teams to identify opportunities for data science solutions, define success metrics, and deliver measurable impact. Drive the integration of large-scale data systems and pipelines to power intelligent, adaptive models that reflect changing customer, market, and business dynamics. Ensure rigorous model monitoring, governance, and retraining protocols to maintain accuracy, fairness, and compliance. Communicate technical results and strategic insights clearly and persuasively to senior leadership and non-technical stakeholders. Champion the adoption of advanced analytics tools, frameworks, and best practices across the company. Requirements Bachelor’s degree and 8+ years of professional experience, or Master’s degree and 6+ years, or PhD and 4+ years, in a quantitative field such as Computer Science, Statistics, Applied Mathematics, or Engineering. Proven leadership experience managing data science or machine learning teams in fast-paced, agile environments. Deep expertise in statistical modeling and machine learning techniques (e.g., regression, time series, clustering, ensemble methods, simulation, NLP, deep learning, etc.). Hands-on proficiency in Python and SQL; familiarity with R or other languages is a plus. Practical experience with ML libraries and frameworks such as Scikit-learn, TensorFlow, Keras, PyTorch, Statsmodels, NumPy, and SciPy. Strong understanding of data architecture and MLOps practices in cloud environments such as AWS, Azure, or GCP. Excellent data storytelling and executive communication skills; confident in building and delivering compelling visual presentations (e.g., Tableau, PowerBI). Deep understanding of Agile methodologies such as Scrum or Kanban. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources

Job Title : Data Science Lead Location : Los Angeles, CA Type : 3 + Months Rate : $Open (Best Possible) Core Requirements Bachelor’s degree in Computer Science or related field preferred. 7+ years of professional experience A focus on hardware is going to be key. Experience in GPU programming models, such as OpenCL or CUDA. Experience with cross platform model compilers like ngraph, XLA, TensorRT, etc. Systems-level experience with Linux Operating System. Previous experience leading assessments or evaluations (proof-of-concept type work). Strong communication skills are required as there is heavy client engagement on a day-day basis. Note: If interested please send your updated resume and include your rate/Salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!

The Applied Data Science Center Our Applied Data Science Center (ADSC) harnesses our global healthcare insights, working closely with our clinical and therapeutic experts to power evidence-driven design, speed site activation and recruit the right patients, faster. We are using big data and advanced analytics to derive insights that transform clinical development and bring new medicines to patients faster through successful trial delivery. This multi-functional team is an innovation for our business, requiring entrepreneurial and independent thinking to build our capability. Unique and with a global view, this Center of Excellence is a chance to revolutionize the clinical research industry. Associate Director, Software Engineering – The Role This management position within the Applied Data Science Center (ADSC) department of the Research & Development Solutions organization (R&DS) is responsible for managing a team of software engineers. As an Associate Director, you will lead a high performing group of developers who design and develop new products, features, feature enhancements, and bug fixes that serve an array of scenarios related to clinical trials and other lines of IQVIA’s pharma/tech business. Your typical activities will include: Mentoring junior and senior software engineers. Helping team members achieve career goals. Oversee one or more product teams. Maintaining up-to-date knowledge of programming languages, software development techniques, and methodologies. Leading improvements in software development best practices, including Agile processes, programming techniques, and processes. Keeping team members informed of company processes, priorities, and general information. Managing employees, conducting performance reviews including development plans, making staffing decisions. Creating effective onboarding plans to ensure minimum time to value. Ensuring team members are aligned with their role and contribution. Identifying unmet skill requirements and hiring or developing staff to satisfy them. Promoting a culture of continuous improvement and technical excellence. Collaborating with other departments to ensure alignment with company goals and objectives. Driving strategic initiatives to improve development processes and team performance. Basic Qualifications: Sees a front-line manager's role as a player-coach. Demonstrate ownership and commitment. Passion for empowering and enabling direct reports. Articulates healthy leadership principles including relationships, empathy, collaboration, pragmatism. Strong verbal and written communication abilities. Ability to be tactful when dealing with delicate situations. Prior experience working in a collaborative Agile environment. Basic understanding of finances and budgeting. Prior experience in a senior individual contributor role (senior engineer, staff engineer, principal engineer, senior principal engineer). Previously as an IC, led projects with teams of peers (influence, not HR authority). Used/consumed APIs made by others. Used CI/CD commit, test, deploy tools. Developed object-oriented software using at least one of Python 3.x or JavaScript (ES5/6 or ES2015+), in addition to other technologies or frameworks. Solid understanding of relational database management systems including logical design and implementation considerations. Preferred Qualifications: 3+ years prior experience as a team manager (HR authority). Deployed software into Kubernetes containers. Experience with public clouds. Implemented and supervised version control strategies. Designed and developed Microservices and APIs. Developed software for container environments. Awareness of infosec compliance factors in software development. Prior experience collaborating with data science or machine learning teams. Prior completion of an ABET accredited BS Computer Science degree or equivalent. We know that meaningful results require not only the right approach but also the right people . Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and Whatever your career goals, we are here to ensure you get there! We invite you to join IQVIA™. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide . Learn more at https://jobs.iqvia.com IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe The potential base pay range for this role, when annualized, is $116,800.00 - $325,400.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

BGB Group SVP, Data Science Our Agency BGB Group is a healthcare communications agency that offers a wide range of services, including traditional pharmaceutical advertising, promotional medical education, payer marketing, and consulting services. Known for excellence and professionalism, we’re hired as strategic and creative partners by our biopharmaceutical clients to drive category/brand awareness and growth. SVP, Data Science Job Overview As the Senior Vice President, Data Science , you will be a visionary leader responsible for defining and advancing the organization’s data science strategy. This role combines cutting-edge data science expertise with a focus on applied analytics, team leadership, and the creation of innovative data-driven solutions. You will oversee the development and execution of data strategies that enable business transformation, drive revenue growth, and position the agency as a leader in data innovation and governance. Position Overview Strategic Leadership & Team Growth Develop and communicate a forward-thinking vision for data science, aligning with the organization’s business objectives and growth strategies. Build, mentor, and inspire a high-performing data science team, fostering a culture of innovation, collaboration, and technical excellence. Drive cross-functional alignment by partnering with executive leadership, technology, and operational teams to integrate data insights into organizational strategies and decision-making processes. Create and execute strategies for scaling the agency’s data capabilities, expanding service offerings, and driving top- and bottom-line growth through data-driven solutions. Modern Data Science Applications Lead the implementation of advanced data science tools and frameworks, including machine learning (ML), artificial intelligence (AI), and natural language processing (NLP) for real-time decision-making and predictive analytics. Drive applied data science initiatives to enhance campaign performance, optimize media spend, and personalize customer experiences (e.g., next-best-action recommendations, dynamic segmentation). Champion the development of proprietary algorithms and methodologies to differentiate the agency in the market and create new business opportunities. Data Governance and Quality Ownership Establish and oversee robust data governance frameworks to ensure compliance with privacy regulations (e.g., GDPR, HIPAA) and protect data integrity. Define and enforce data quality standards, implementing processes for data accuracy, consistency, and security across all systems and workflows. Act as the primary advocate for ethical data usage and responsible AI deployment, ensuring transparency in data practices. Advanced Analytics and Innovation Lead the creation and deployment of advanced analytical models, integrating cutting-edge techniques like deep learning, reinforcement learning, and generative AI to unlock new business insights. Drive innovation by identifying emerging data science trends, tools, and technologies, positioning the agency to remain ahead of the curve. Partner with product, innovation, and technology teams to design and launch data-driven tools and platforms, establishing proprietary solutions as a competitive advantage. Technology Infrastructure and Applied Data Science Collaborate with IT, engineering, and technology teams to ensure scalable and resilient data infrastructure, including cloud-based platforms, data lakes, and modern analytics tools (e.g., Snowflake, Databricks, AWS). Define and manage first-party data strategies, working with Applied Intelligence and Legal teams to ensure privacy compliance and maximize the value of owned datasets. Leverage automation tools and advanced visualization platforms (e.g., Tableau, Power BI, Looker) to create actionable reporting and performance insights for internal teams and clients. Business Impact and Data-Driven Culture Identify opportunities to solve complex business challenges using data, ensuring alignment with client needs and organizational priorities. Develop frameworks for measuring the ROI of analytics and data initiatives, tying outcomes directly to business performance metrics. Promote a culture of data literacy and empower internal teams to harness data insights effectively. Core Responsibilities Team Leadership: Build and scale a team of data scientists, analysts, engineers, and product managers capable of supporting large-scale, complex client initiatives. Product Development: Oversee the integration of data science into proprietary product offerings, ensuring alignment with strategic business goals. Client Partnerships: Act as a thought leader, presenting data science strategies and innovations to clients and industry stakeholders. Growth Strategies: Identify and pursue revenue-generating opportunities, both through new client acquisition and upselling/cross-selling data-driven solutions. Key Qualifications Proven track record in leading and scaling data science teams in a fast-paced, agency, or technology environment. Expertise in applied data science techniques, including supervised and unsupervised learning, deep learning, and AI applications. Hands-on experience with data platforms (e.g., Snowflake, Databricks), programming languages (e.g., Python, R, SQL), and ML/AI tools (e.g., TensorFlow, PyTorch). Strong understanding of data governance, regulatory compliance, and ethical considerations in AI and analytics. Exceptional communication skills, with the ability to translate complex data concepts into actionable insights for non-technical stakeholders. Leadership acumen, with a demonstrated ability to grow teams, cultivate talent, and foster innovation. Salary range: $210,000 - $240,000 The salary range provided is for the NYC-hybrid position, which requires occasional in-office presence, and represents what a potential hire may expect to earn in this role at BGB. For candidates in other locations, salary will be adjusted to reflect local market rates. Actual salary decisions will be influenced by several factors that we use to determine overall fit, including experience (both direct and indirect), education, training, demonstrated qualifications, and organizational need. Salary is only one component of the total rewards package offered at BGB Group. BGB Group is an equal opportunity employer. All applicants will be considered without regard to race, color, religion, sex, age, national origin, citizenship status, sexual orientation, disability, veteran status or any category or class of person protected by law.

About ICA, Inc. International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again!  We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS. At ICA, we believe our success starts with our people. We foster a collaborative "one team" environment where work-life balance isn't just talked about – it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you. We are looking for a  Director of Data Science  to join our growing team. About the Role We are seeking an experienced and visionary Director of Data Science  to join our talented and dynamic team. As the senior leader of the Data Science team, you will leverage your technical expertise, business acumen, and leadership capabilities to collaborate with senior stakeholders within our customer organizations. Your primary focus will be to understand and identify their requirements and needs in the areas of Big Data Analytics, Artificial Intelligence (AI), and Machine Learning (ML).  The Director will ensure our Data Science team possesses the skills, experience, tools, and resources necessary to successfully solve our clients' most challenging data and AI problems. You will play a pivotal role in enabling the company to achieve its growth goals in Data Science, AI, and ML services.  Overseeing a team two dozen full-time employees and consultants, you will manage a portfolio of projects currently supporting government clients in federal healthcare. You will plan and direct the operational policies, objectives, and initiatives for the Data Science Division and directly supervise subordinate managers within the division.  As a recognized project management professional and senior technical expert, you will develop strategies and drive tactical actions to attain short- and long-term financial and mission-critical operational goals. You will monitor financial and operational metrics to measure achievement of organizational objectives, enforcing high standards of quality and professionalism in all division services and deliverables.  About You   You are inquisitive by nature, detail oriented, creative, patient, and a results-focused problem solver who enjoys collaboration with your team. You use critical reasoning, are open-minded and enjoy the steps involved when confronted with a complex challenge. You have a high standard of accountability and can influence customers by creating effective presentations that communicate complex analytics to non-technical senior management and executives. You bring experience communicating with Government stakeholders and project team(s) effectively and timely both verbally and in writing. You are comfortable coordinating day-to-day project activities and client contact.  Qualifications   Please Note:  A Public Trust Clearance is a requirement of this role.  Visit  What Is Public Trust Security Clearance?  to learn more. Education:   Master's or PhD degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.  Experience:   12+ years of experience in data science or a related field.  At least 5 years of management experience leading teams of 10 or more data scientists, ML engineers, solution architects, and data engineers.  8+ years of experience developing enterprise data solutions to solve complex business problems, preferably in a consulting or services-related role.  Technical Skills:   Deep expertise in statistical modeling, machine learning algorithms, and AI techniques.  Proficiency with programming languages such as Python and R, and experience with data manipulation libraries (e.g., pandas, NumPy).  Extensive experience with AI/ML frameworks like TensorFlow, PyTorch, scikit-learn.  Strong knowledge of big data technologies (e.g., Hadoop, Spark) and experience with data warehousing solutions.  Advanced knowledge of cloud computing environments, especially AWS services (Athena, S3, Glue, SageMaker, Comprehend).  Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow).  Project Management:   Proven ability to manage large-scale, complex data science projects from conception to deployment.  Experience with Agile/Scrum methodologies and project management tools.  Leadership and Soft Skills:   Demonstrated ability to lead, mentor, and develop high-performing technical teams.  Exceptional communication skills, capable of articulating complex technical concepts to non-technical stakeholders.  Strong analytical and problem-solving skills with a strategic mindset.  Additional Preferred Skills:   Experience with data analysis and program management for health-related organizations, including FDA, CMS, NIH, CDC, VA, Defense Health Agency, among others.  Familiarity with workflow management tools (e.g., Kanban, Scrum).  Experience in the federal healthcare sector and understanding of its unique data challenges.  Additional Information:   Security Clearance: Candidates must be eligible to work in the United States and will be required to undergo a background investigation to obtain a Public Trust clearance. To learn more visit:  What Is Public Trust Security Clearance? - Defense News Travel: Occasional travel may be necessary based on project requirements.  What We Offer   Competitive salary  Comprehensive benefits including health, dental, vision, disability, and life insurance  Flexible time off with paid vacation, plus sick time  Paid time off for observance of federal holidays  401k plan with company match  Tuition reimbursement program  Professional Development Remote work from anywhere in the continental United States  Location and Telework   This is a remote position. Candidates must be willing to travel to the office, in Arlington, VA, for the occasional team/client meetings. DC Metro candidates are preferred. Five percent travel can be expected. Flexibility is expected of the employee to be available for client/team meetings if the employee lives outside the Eastern Time Zone.  Additional Information   ICA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local laws.  This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. 

About Sony Music Entertainment At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time. Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship. Sony Music Entertainment is a member of the Sony family of global companies.   Sony Music Entertainment (SME) is seeking a Director of Data Science to join the Data Science & Analytics team . As a member of this team, you will provide business-focused machine learning and experimentation tools and services to our teammates throughout Sony Music. In this role, you will be at the forefront of SME’s efforts to combat streaming fraud. You will develop and implement advanced strategies to detect and prevent fraudulent activities, leveraging your expertise in machine learning and anomaly detection. We are looking for a candidate who is passionate about music and technology and has a strong background in data science. What you'll do: Lead and develop SME’s global content protection program to prevent streaming fraud. Coordinate with commercial partners, vendors, and industry bodies to implement best practice solutions for tackling fraud and intellectual property-related issues. Evaluate and research technologies incorporating machine learning, artificial intelligence, and automated content recognition. Research and develop predictive models, statistical methods, and machine learning algorithms to solve business problems. Prepare and analyze large datasets to identify patterns, trends, and insights to inform business decisions. Communicate effectively with cross-functional teams, including creative, business, legal, and engineering-focused teammates, to support business objectives. Deliver actionable insights to stakeholders and senior leadership to support decision-making processes. Who you are: Must possess B.S. in Computer Science, Mathematics, or related field. A master’s degree is preferred. Minimum of 5+ years of experience working in machine learning, data analysis, or a related field. Proven experience in fraud detection. Knowledgeable about artificial intelligence. Proficiency in modern programming languages such as Python and Java. Possess strong analytical and problem-solving skills. Maintain a positive outlook and eagerness to tackle complex challenges What we give you: You join an inclusive, collaborative and global community where you have the opportunity to channel your passion every day    A modern office environment designed to foster productivity, creativity, and teamwork empowering you to bring your best   An attractive and comprehensive benefits package including medical, dental, vision, life & disability coverage, and 401K + employer matching   Voluntary benefits like company-paid identity theft protection and resources for pets, mental health and meditation resources, industry-leading fertility coverage, fully paid leave for childbirth or bonding, fully paid leave for caregivers, programs for loved ones with developmental disabilities and neurodiversity, subsidized back-up child and elder care, and reimbursement for adoption, surrogacy, tuition, and student loans   Investment in your professional growth and development enabling you to thrive in our vibrant community.    The space to accelerate progress, positively disrupt, and create what happens next    Time off for a winter recess Sony Music is committed to providing equal employment opportunity for all persons regardless of age, disability, national origin, race, color, religion, sex, sexual orientation, gender, gender identity or expression, pregnancy, veteran or military status, marital and civil partnership/union status, alienage or citizenship status, creed, genetic information or any other status protected by applicable federal, state, or local law. The anticipated annual base salary does not include any other compensation components or other benefits that an individual may be eligible for.  The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. New York Pay Range $160,000 — $180,000 USD

Job Description Adjunct Professor - Data Science Department: School of Computing and Data Science Location: Wentworth Institute of Technology Wentworth Institute of Technology is seeking adjunct professors to teach undergraduate and graduate courses in Data Science. We are dedicated to fostering educational excellence and preparing students for success in their fields. Position Summary: Adjunct professors are responsible for delivering course materials in a learner-centered environment, engaging students in the learning process, and supporting their academic success. Responsibilities include developing and teaching a range of courses, from introductory undergraduate classes to advanced graduate-level courses in Data Science. Key Responsibilities: Prepare syllabi and develop curricula to meet course requirements and student learning outcomes. Deliver engaging and effective instruction. Provide timely and constructive feedback on assignments and exams. Submit midterm and final grades, attendance records, and other required reports. Communicate consistently with students, faculty, and administrators. Required Qualifications: Master’s degree in Data Science, Computer Science, or a related field. Teaching experience in a relevant subject area. Preferred Qualifications: PhD in Data Science or a related field. Experience teaching diverse student populations. Familiarity with online and remote teaching tools. Application Process: To apply, please submit a letter of interest and resume. Applications will be reviewed on a rolling basis until the positions are filled. Wentworth Institute of Technology is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Inclusive Excellence at Wentworth Wentworth Institute of Technology is committed to diversity, equity, and inclusion in all University programs and activities. The University does not discriminate based on race, color, national origin, sex, sexual orientation, religion, disability, age, genetic information, gender identity, veteran status or any other category protected by law. All qualified applicants will receive consideration. To find out more about the Wentworth’s commitment to Diversity, Equity and Inclusion, please visit the website https://wit.edu/about/diversity . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu .

Job Description Wentworth Institute of Technology’s School of Computing & Data Science invites applications for an Open-rank Professor or Lecturer in Computer and Data science for FALL of 2025 . Key Responsibilities : Teaching both undergraduate and master’s level computer science and data science courses. Engaging in research and scholarly activity. Performing service to the university and the profession, which includes academic advising, student engagement, and serving on committees. Minimum Requirements : M.S. in Computer Science or related discipline. Demonstrated success in teaching at the undergraduate and graduate levels Demonstrated success with research and scholarly activities related to Computer and Data Science At least 3-5 years of demonstrated practical/ industry related experience. Ability to demonstrate a commitment to working effectively with faculty, staff, and students from diverse ethnic, cultural, and socioeconomic backgrounds Preferred Qualifications : Ph.D. in Computer Science or related discipline. Wentworth seeks to increase the diverse perspectives of its faculty and encourages applications from members of underrepresented groups in STEM (Science Technology Engineering and Mathematics). About Wentworth & SCDS: Founded in 1904, Wentworth Institute of Technology is an independent, co-educational, nationally ranked university offering career-focused education through 24 bachelor’s and 13 master’s degree programs in areas including Computer Science, Data Science, Cybersecurity, Engineering, Architecture, Design, and Construction Management. Wentworth’s mission is to prepare our students for career success through experiential learning. Recent new programs include both a B.S. and M.S. in Data Science, launched in 2023 and 2021 respectively. The School of Computing & Data Science consists of 30+ full-time faculty that offer undergraduate majors in Computer Science, Cybersecurity, IT, Data Science, and Applied Mathematics and graduate degrees in Applied Computer Science, Data Science, and Cybersecurity Analytics. The school has teaching and research strengths in artificial intelligence, data science, cybersecurity, high-performance computing, mobile/web application development, stochastic processes, dynamical systems, financial math and modeling. In addition, members of the school have close collaborative relationships with faculty in sciences, humanities, and electrical and computer engineering, among others. Application Procedures: Review of applications will begin January 20, 2025 and will be accepted on a rolling basis. Please complete application by submitting the following attachments: Cover Letter – Please ensure your cover letter is your original work and addresses how you and Wentworth are a good fit. Curriculum vitae Teaching Statement – Please ensure your teaching statement is your original work and addresses how you engage students similar to the Wentworth students. Research Statement - Please ensure your research statement is your original work and addresses your past research and what you see yourself working on at Wentworth. Diversity Statement – Please ensure your Diversity statement is your original work and addresses how you have contributed to diversity in your past. Inclusive Excellence at Wentworth Wentworth Institute of Technology is committed to diversity, equity, and inclusion in all University programs and activities. The University does not discriminate based on race, color, national origin, sex, sexual orientation, religion, disability, age, genetic information, gender identity, veteran status or any other category protected by law. All qualified applicants will receive consideration. To find out more about the Wentworth’s commitment to Diversity, Equity and Inclusion, please visit the website https://wit.edu/about/diversity . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu . E-Verify for Employment Eligibility Verification ( Form I-9) Wentworth participates in E-Verify. E-Verify is an internet-based system that compares information from your Form I-9 to records available to the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA) to confirm that you are authorized to work in the United States.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity This position can work remotely in the continental U.S. with occasional business travel. Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and inspire change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies. What you’ll do: Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies. Applies advanced analytical techniques to tackle business problems that are typically medium to large scale with significant impact to current and/or future business strategy. Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change Translates recommendation into communication materials to optimally present to various levels of management. Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences. Identifies and captures the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA). Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply. Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements. Understands and embraces emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions. Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy. Provides subject matter expertise in operationalizing recommendations. Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework). Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business proven experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.). Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making. Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights. What sets you apart: Experience with marketing data and analytics. Advanced knowledge of data validation and data cleaning techniques. Advanced knowledge of experimental design (e.g., A/B testing). Data solution engineering with heavy SQL background. Cross functional experience with Insurance Agency Operation Teams. Familiarity with Insurance Agency Products. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. What we offer: Compensation : The salary range for this position is: $114,080 - $205,340. Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.