Data scientist jobs in Wilmington, DE

Akkodis is seeking a Lead Data Scientist for a Contract with a client in Malvern, PA. Responsible for designing advanced machine learning models and leading data-driven strategies to solve complex business problems. Rate Range: $68/hour to $75/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Lead Data Scientist job responsibilities include: * Lead the design and development of advanced machine learning models to solve complex business problems and deliver actionable insights. * Build and optimize scalable data pipelines and architectures, ensuring efficient data processing and integration for model development. * Collaborate with cross-functional teams, including engineers and business stakeholders, to translate requirements into data-driven solutions. * Perform exploratory data analysis and feature engineering, leveraging statistical and predictive modeling techniques. * Deploy, monitor, and maintain machine learning models in production, implementing best practices for MLOps and model lifecycle management. * Mentor junior data scientists and establish best practices for data science workflows, coding standards, and documentation. Required Qualifications: * Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field. * Minimum 8+ years in data science, with at least 3 years in a leadership or team lead role. * Proven experience in building and deploying machine learning models at scale in production environments. * Strong expertise in Python, SQL, and cloud platforms (AWS, Azure, or GCP), along with excellent communication and stakeholder management skills. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at *****************************. Pay Details: $68.00 to $75.00 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ************************************************* The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: * The California Fair Chance Act * Los Angeles City Fair Chance Ordinance * Los Angeles County Fair Chance Ordinance for Employers * San Francisco Fair Chance Ordinance Massachusetts Candidates Only: 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.

**_At Towne Park, it's more than a job, you can make an impact._** A career with us is rewarding in more ways than one. As a hospitality services company, our commitment is to create smiles by delivering exceptional experiences. When you work with us, you have an opportunity to impact the millions of patients, visitors and guests we proudly serve. Whether providing compassionate service that eases the anxiety of a patient and their family, creating a memorable experience for a guest in a new city, or helping a colleague, every day is a new opportunity to brighten someone else's day and make an impact. When we see a customer, a client or one of our own team members smile, we know we made an impact. It's why we do what we do. Towne Park is a place where you can make a difference and create smiles every day. Click here (***************************************************************************************************************** for important notices that may be applicable to you. For more information about our privacy policy, please click here (********************************************************************************************************************** . **Job Details** **Compensation:** Towne Park is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location. The annual base pay range for this position is $135,000 - $150,000. **Benefits:** Employees are eligible to enroll in medical, dental, and vision insurance, accident insurance, critical illness insurance, hospital indemnity insurance, and telemedicine benefits. Employees are provided company-paid basic life and AD&D insurance as well as short-term and long-term disability. Employees are also able to enroll in the company's 401k retirement savings plan. **Paid Time Off:** Employees accrue 0.0654 hours of PTO per hour worked up to a maximum of 136 hours per calendar year. Employees receive 6 paid holidays throughout the calendar year and employees accrue up to a maximum of 4 paid floating holidays per calendar year. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. **SUMMARY** We are looking for a Data Scientist with expertise in predictive modeling, time series analysis, and optimization techniques to support our dynamic pricing initiatives. In this role, you will build and refine models to predict parking demand and optimize pricing for commercial lots (e.g., downtown city lots) and hotel parking facilities. You will collaborate with a team of data scientists and engineers to deliver actionable insights and improve parking management efficiency across multiple locations. **ESSENTIAL FUNCTIONS** **Reasonable accommodations may be made to enable individuals with disabilities to perform all functions.** **Descriptive Statement(s)** **% of Time** Develop ML models to forecast parking demand 20% Build and optimize dynamic pricing models that adjust prices based on predicted demand and other relevant factors 20% Implement machine learning algorithms and statistical models to predict demand accurately. 20% Analyze historical data and market trends to identify patterns and inform pricing strategies. 10% Work closely with product teams and business stakeholders to deliver actionable insights and help shape business decisions. 5% Monitor and evaluate model performance over time, making improvements as needed 10% Communicate findings and insights through clear and compelling data visualizations and reports. 10% Stay up to date with industry best practices in data science and machine learning. 5% **The total amount of time for all functions of the job** **100%** **QUALIFICATIONS** **Education:** + Bachelor's or master's degree in computer science, Data Science, Statistics, Economics, Engineering, or a related field **Work Experience:** + 3+ years of professional experience in data science or a related role, with a strong emphasis on predictive modeling and optimization **Knowledge & Skills:** + Solid experience with machine learning algorithms (e.g., regression, classification, time series forecasting) and statistical techniques + Proficiency in Python (or R) and SQL + Strong knowledge of data manipulation, analysis, and visualization tools + Experience with cloud computing platforms (e.g., Azure, Snowflake, AWS, GCP) and data storage solutions (e.g., SQL, NoSQL). + Excellent communication skills, both written and verbal, with the ability to present technical concepts to non-technical stakeholders. + Strong problem-solving skills and the ability to work independently and collaboratively. + Experience building Streamlit or Shiny apps Preferred Skills (not required): + Experience with A/B testing and experimentation + Ability to write production-ready code + Experience building and deploying dynamic pricing models in production **SCOPE** **Authority to Act:** Job is fairly routine. Incumbent follows established practices and procedures. Duties are performed with specific directions given and work is checked or verified on a frequent basis. Decisions are made within specific operational instructions and departmental guidelines. Errors in judgment could affect the smooth and efficient operation of the department. **Budget Responsibility:** The employee has control over resources available only. **WORKING CONDITIONS & PHYSICAL DEMANDS** _The_ **_working conditions and physical demands_** _described here are representative of those that must be met by an associate to_ **_successfully perform the essential functions of this job_** _. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions._ **Physical Requirements** While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to sit or stand for extended periods of time and may be required to run; walk; handle or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. **Lifting Requirements** Exerting up to 50 pounds of force occasionally, and/or up to 25 pounds of force frequently, and/or greater than 10 pounds of force constantly to move objects. **Working Environment** The majority of work will be performed in climate-controlled environment, but may be exposed to inclement weather and varying degrees of temperatures on occasion. **Travel** Travel of up to 20% may be required. Towne Park is an Equal Opportunity Employer (EOE). Towne Park provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, 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.

The Cooper Health System is seeking a Data Scientist to join its analytics team. This role focuses on leveraging advanced analytics techniques to drive clinical and business decision-making. You will work with healthcare data to build predictive models, apply machine learning and NLP methods, and optimize data pipelines. The ideal candidate combines strong technical skills with the ability to communicate insights effectively to stakeholders. Key Responsibilities Develop and implement machine learning models for predictive analytics and clinical decision support. Apply NLP and LLM techniques to extract insights from structured and unstructured data. Build and optimize data pipelines using Python and SQL for ETL processes. Preprocess and clean datasets to support analytics initiatives. Collaborate with stakeholders to understand data needs and deliver actionable insights. Interpret complex datasets and provide clear, data-driven recommendations. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements 1yr min professional/post-grad Data Scientist experience, and knowledge across areas such as Machine Learning, NLP, LLMs, etc Proficiency in Python and SQL for data manipulation and pipeline development Strong communication skills for stakeholder engagement Bachelor's Degree Master's Degree Azure experience (and/or other MS tools) Experience working with healthcare data, preferably from Epic Strong skills in data visualization, dashboard design, and interpreting complex datasets

JPA Health is a fully integrated marketing, communications and medical communications agency for clients ranging from emerging biotech to established pharmaceutical companies and public health organizations. We work exclusively within the health sector. We share our clients' commitment to making people healthier. In fact, some might say we are obsessed with improving and protecting lives. Check out our sizzle reel! The Role JPA is searching for a Life Sciences, Marketing Analytics Data Scientist, to join our Integrated Intelligence team. You'll blend analytics, applied statistics, and development to transform omnichannel marketing data into models, dashboards, and insights that fuel behavior change. You'll work across teams to design, measure, and optimize life sciences marketing programs across audiences and channels. This position is a full-time, hybrid role reporting to any JPA office (i.e., Boston, Washington, DC, Philadelphia, New York City) 2 days per week and working remotely 3 days per week. Applicants must be authorized to work in the United States without current or future need for visa sponsorship The Responsibilities Design and implement data pipelines to ingest, transform, and QA multi-source marketing data (paid, owned, earned, CRM, web, email, social, events, qualitative). Build statistical models (e.g., regression, classification, forecasting, clustering) to identify performance drivers, segment audiences, and predict outcomes. Develop fit-for-purpose marketing attribution and contribution approaches based on available data; quantify incrementality where feasible. Create dashboards and automated reporting that translate complex results into simple, visual stories for technical and non-technical stakeholders. Plan and analyze A/B and multivariate tests; estimate impact and uncertainty; recommend next-best actions and channel allocations. Partner with engagement specialists and performance analytics teams to translate insights into channel, message, and audience optimizations throughout the campaign lifecycle. Document methods, code, and data dictionaries; champion data quality, reproducibility, and privacy-aware measurement. Present findings to clients; manage timelines and priorities across concurrent projects. About You Our ideal candidate must have: Bachelor's degree in a quantitative field (e.g., statistics, mathematics, economics, engineering) or equivalent experience. 3-5 years in life sciences marketing analytics, data science, or a related role within an agency or in-house team. Experience with privacy-aware measurement techniques and working within regulated industries, especially life sciences. Hands-on coding experience for data wrangling, analysis, and statistical modeling, including version control and code review practices, including working familiarity with Python, R or SQL. Strong grasp of experimental design, statistical inference, and causal thinking; able to communicate assumptions and limitations clearly. Experience building automated dashboards and reports; adept at data visualization and storytelling using tools like Tableau and PowerBI. Familiarity with omnichannel datasets and measurements across paid, owned, and earned media. Comfortable working with imperfect data and designing solutions that scale. Excellent communication skills; client-facing presence; collaborative approach with cross-functional partners. What Makes Us Different JPA Health offers you the opportunity to work with purpose as you achieve extraordinary results for our clients. You will elevate your career in an environment that thrives at the intersection of wellness, connection, and compassion. Our mission to help people live healthier lives begins with you. Our approach prioritizes compassion to ensure you and your family flourish. We promote flexibility with adaptable work arrangements for a balanced personal and professional life. Our Collaboration Days are designed to strengthen relationships and enhance well-being. Respect, inclusion, camaraderie, and connection - this is the heart of our agency's ethos. We elevate each other. We work collaboratively. And we push ourselves to think bigger. In addition, JPA Health offers: Paid time off when you need it most: 20+ days PTO, 10 holidays, Sabbatical, bereavement & compassion leave, parental leave, civic duty, volunteer time and year-end office closure. Unlimited access to LinkedIn Learning, internal webinars through JPA's Elevate Institute, tuition reimbursement, paid professional development, and paid learning and development time. An impressive and comprehensive benefits package that supports you and your family's physical, mental and financial well-being. Competitive pay and opportunities to advance. The anticipated starting pay for this role is between $107,000 and $120,000 annually, based on a variety of factors including but not limited to experience, qualifications, and location. You may also be eligible for performance-based bonuses. We review compensation annually and evaluate readiness for promotions every quarter. At JPA Health, we are committed to fostering a culture of Diversity, Equity, and Inclusion (DEI). We believe that our strength lies in the diversity of our team, and we strive to create an environment where every individual feels valued, respected, and heard. We are dedicated to promoting equity in all aspects of our work, ensuring that all employees have equal access to opportunities and resources. We are inclusive, welcoming individuals of all races, genders, sexual orientations, religions, national origins, disabilities, and ages. Our commitment to DEI extends beyond our organization, influencing the work we do and the partnerships we build. We believe that by embracing DEI, we can drive innovation, enhance our services, and contribute to a healthier society. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require an accommodation in order to apply for a position with JPA Health, please contact us for assistance at ******************.

Apply now: Data Scientist, location is Remote or Hybrid (Wilmington, DE area preferred). The start date is mid-to-late January 2026 for this 12-month contract position. Job Title: Data Scientist Start Date Is: Mid-to-late January 2026 Duration: 12-month contract Compensation Range: $65 per hour W2 Job Description: Join the client's R&D team as a Data Scientist focused on developing predictive models and data-driven insights for materials and formulation design. Day-to-Day Responsibilities: Collect and preprocess experimental and database-driven data Develop and optimize predictive models using machine learning Perform data mining and statistical correlation analysis Support formulation design using computer vision and modeling techniques Present findings and insights to internal stakeholders and SMEs Collaborate closely with R&D, data engineering, and business teams Requirements: Must-Haves: PhD in Chemical Engineering, Analytical Chemistry, or related field Strong Python skills for data preparation, modeling, and visualization Experience with machine learning for R&D applications Background in data mining, predictive modeling, and statistical analysis Excellent communication skills and stakeholder engagement Nice-to-Haves: Familiarity with SQL or MongoDB Experience with cloud computing (Azure preferred) Background in material science or formulation research

Check out what we have for you…. · Earn a competitive salary, plus grow your retirement savings with our 401k plan featuring company match! · Access top-notch medical, dental, and vision benefits, including Telemedicine. · Boost your health with our wellness program and incentives. · Enjoy peace of mind with company-paid life insurance. · Celebrate with company-paid holidays and other paid time off. · Take advantage of Parental Leave to care for your family. · Benefit from exclusive employee discounts including our exclusive Employee Sell and Purchase Vehicle program. · Find support through our Employee Assistance Program. · Get access to the WBAC Gear Store for company swag. · A supportive and collaborative environment where you are encouraged to work together with team members to achieve outstanding results. · An inclusive atmosphere that values diverse voices. Get to Know Us! CarGroup Holdings LLC, operating as webuyanycar.com USA, is a leading car buying service that offers a fast, safe, and fair way to sell your car. With a focus on providing a seamless and convenient experience, we offer free online valuations, hassle-free transactions, and fast payment on the spot. Job Summary: The Marketing Data Scientist will assist with driving the marketing strategy and decision-making through advanced data analysis, predictive modeling, and machine learning techniques. The Marketing Data Scientist's insights and recommendations will directly impact our marketing campaigns, customer engagement strategies, and overall business growth. This role requires a deep understanding of marketing analytics, statistical methods, and the ability to translate complex data into actionable insights. We are unable to offer sponsorship for this position. Key Duties and Responsibilities: · Utilize advanced data mining, statistical analysis, and machine learning techniques to identify trends, patterns, and insights from complex marketing data. · Develop predictive models and algorithms to optimize marketing campaigns, customer segmentation, and targeting strategies. · Collaborate closely with marketing teams to design experiments, analyze results, and provide actionable recommendations for improving campaign effectiveness and ROI. · Conduct deep-dive analysis to understand customer behavior, preferences, and lifetime value, and leverage these insights to personalize marketing efforts. · Build dashboards and visualizations to communicate key metrics and performance indicators to stakeholders, enabling data-driven decision-making across the organization. · Stay current with industry trends and best practices in marketing analytics, data science, and machine learning, and apply them to enhance our marketing strategies. · Work cross-functionally with the analytics team, IT team, and business stakeholders to ensure data quality, integrity, and accessibility for marketing analytics purposes. · Validate impact of Marketing Campaigns through experiments and causal analysis. Key Skills and Abilities: · Excellent analytical and problem-solving skills with the ability to interpret and communicate complex data analysis results effectively with strong attention to detail. · Must possess strong business acumen with proven experience of applying data science techniques to business problems to drive increased revenue or introduce operational efficiencies. · Proven ability to effectively communicate and to present findings and recommendations to non-technical stakeholders. · Possess a strong desire to know “how” and “why” things work, inclined toward sustainable and manageable solutions. · Have self-awareness of strengths and opportunities, ability to introspect, and self-develop by engaging in continuous learning. · Proven ability to work independently and collaboratively in a fast-paced environment, with a proactive and results-oriented approach. · Proficient with company-based systems, Microsoft Windows and Office Suite applications. Educational Requirements and Experience*: · Master's Degree (or equivalent level preferred) in Data Science, Statistics, Mathematics, or a related quantitative field. · Proven experience (3 years or more) in a data science or similar role within a commercial business, preferably consumer-facing. · Strong proficiency in programming languages such as Python or R, and experience with statistical analysis tools (e.g., SAS, SPSS, or similar). · Hands-on experience with machine learning techniques (e.g., regression, clustering, decision trees, neural networks) and frameworks (e.g., TensorFlow, scikit-learn). · Experience with data visualization tools (e.g., Tableau, Power BI) and database querying languages (e.g., SQL). · Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud). · Familiarity with creating data analysis plans and executing A/B testing methodologies. Physical Requirements: · Prolonged periods of sitting at a desk and working on a computer. · Must be able to lift to 15 pounds at times.

Check out what we have for you…. · Earn a competitive salary, plus grow your retirement savings with our 401k plan featuring company match! · Access top-notch medical, dental, and vision benefits, including Telemedicine. · Boost your health with our wellness program and incentives. · Enjoy peace of mind with company-paid life insurance. · Celebrate with company-paid holidays and other paid time off. · Take advantage of Parental Leave to care for your family. · Benefit from exclusive employee discounts including our exclusive Employee Sell and Purchase Vehicle program. · Find support through our Employee Assistance Program. · Get access to the WBAC Gear Store for company swag. · A supportive and collaborative environment where you are encouraged to work together with team members to achieve outstanding results. · An inclusive atmosphere that values diverse voices. Get to Know Us! CarGroup Holdings LLC, operating as webuyanycar.com USA, is a leading car buying service that offers a fast, safe, and fair way to sell your car. With a focus on providing a seamless and convenient experience, we offer free online valuations, hassle-free transactions, and fast payment on the spot. Job Summary: The Marketing Data Scientist will assist with driving the marketing strategy and decision-making through advanced data analysis, predictive modeling, and machine learning techniques. The Marketing Data Scientist's insights and recommendations will directly impact our marketing campaigns, customer engagement strategies, and overall business growth. This role requires a deep understanding of marketing analytics, statistical methods, and the ability to translate complex data into actionable insights. We are unable to offer sponsorship for this position. Key Duties and Responsibilities: · Utilize advanced data mining, statistical analysis, and machine learning techniques to identify trends, patterns, and insights from complex marketing data. · Develop predictive models and algorithms to optimize marketing campaigns, customer segmentation, and targeting strategies. · Collaborate closely with marketing teams to design experiments, analyze results, and provide actionable recommendations for improving campaign effectiveness and ROI. · Conduct deep-dive analysis to understand customer behavior, preferences, and lifetime value, and leverage these insights to personalize marketing efforts. · Build dashboards and visualizations to communicate key metrics and performance indicators to stakeholders, enabling data-driven decision-making across the organization. · Stay current with industry trends and best practices in marketing analytics, data science, and machine learning, and apply them to enhance our marketing strategies. · Work cross-functionally with the analytics team, IT team, and business stakeholders to ensure data quality, integrity, and accessibility for marketing analytics purposes. · Validate impact of Marketing Campaigns through experiments and causal analysis. Key Skills and Abilities: · Excellent analytical and problem-solving skills with the ability to interpret and communicate complex data analysis results effectively with strong attention to detail. · Must possess strong business acumen with proven experience of applying data science techniques to business problems to drive increased revenue or introduce operational efficiencies. · Proven ability to effectively communicate and to present findings and recommendations to non-technical stakeholders. · Possess a strong desire to know “how” and “why” things work, inclined toward sustainable and manageable solutions. · Have self-awareness of strengths and opportunities, ability to introspect, and self-develop by engaging in continuous learning. · Proven ability to work independently and collaboratively in a fast-paced environment, with a proactive and results-oriented approach. · Proficient with company-based systems, Microsoft Windows and Office Suite applications. Educational Requirements and Experience*: · Master's Degree (or equivalent level preferred) in Data Science, Statistics, Mathematics, or a related quantitative field. · Proven experience (3 years or more) in a data science or similar role within a commercial business, preferably consumer-facing. · Strong proficiency in programming languages such as Python or R, and experience with statistical analysis tools (e.g., SAS, SPSS, or similar). · Hands-on experience with machine learning techniques (e.g., regression, clustering, decision trees, neural networks) and frameworks (e.g., TensorFlow, scikit-learn). · Experience with data visualization tools (e.g., Tableau, Power BI) and database querying languages (e.g., SQL). · Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud). · Familiarity with creating data analysis plans and executing A/B testing methodologies. Physical Requirements: · Prolonged periods of sitting at a desk and working on a computer. · Must be able to lift to 15 pounds at times.

Job Description Check out what we have for you…. · Earn a competitive salary, plus grow your retirement savings with our 401k plan featuring company match! · Access top-notch medical, dental, and vision benefits, including Telemedicine. · Boost your health with our wellness program and incentives. · Enjoy peace of mind with company-paid life insurance. · Celebrate with company-paid holidays and other paid time off. · Take advantage of Parental Leave to care for your family. · Benefit from exclusive employee discounts including our exclusive Employee Sell and Purchase Vehicle program. · Find support through our Employee Assistance Program. · Get access to the WBAC Gear Store for company swag. · A supportive and collaborative environment where you are encouraged to work together with team members to achieve outstanding results. · An inclusive atmosphere that values diverse voices. Get to Know Us! CarGroup Holdings LLC, operating as webuyanycar.com USA, is a leading car buying service that offers a fast, safe, and fair way to sell your car. With a focus on providing a seamless and convenient experience, we offer free online valuations, hassle-free transactions, and fast payment on the spot. Job Summary: The Marketing Data Scientist will assist with driving the marketing strategy and decision-making through advanced data analysis, predictive modeling, and machine learning techniques. The Marketing Data Scientist's insights and recommendations will directly impact our marketing campaigns, customer engagement strategies, and overall business growth. This role requires a deep understanding of marketing analytics, statistical methods, and the ability to translate complex data into actionable insights. We are unable to offer sponsorship for this position. Key Duties and Responsibilities: · Utilize advanced data mining, statistical analysis, and machine learning techniques to identify trends, patterns, and insights from complex marketing data. · Develop predictive models and algorithms to optimize marketing campaigns, customer segmentation, and targeting strategies. · Collaborate closely with marketing teams to design experiments, analyze results, and provide actionable recommendations for improving campaign effectiveness and ROI. · Conduct deep-dive analysis to understand customer behavior, preferences, and lifetime value, and leverage these insights to personalize marketing efforts. · Build dashboards and visualizations to communicate key metrics and performance indicators to stakeholders, enabling data-driven decision-making across the organization. · Stay current with industry trends and best practices in marketing analytics, data science, and machine learning, and apply them to enhance our marketing strategies. · Work cross-functionally with the analytics team, IT team, and business stakeholders to ensure data quality, integrity, and accessibility for marketing analytics purposes. · Validate impact of Marketing Campaigns through experiments and causal analysis. Key Skills and Abilities: · Excellent analytical and problem-solving skills with the ability to interpret and communicate complex data analysis results effectively with strong attention to detail. · Must possess strong business acumen with proven experience of applying data science techniques to business problems to drive increased revenue or introduce operational efficiencies. · Proven ability to effectively communicate and to present findings and recommendations to non-technical stakeholders. · Possess a strong desire to know “how” and “why” things work, inclined toward sustainable and manageable solutions. · Have self-awareness of strengths and opportunities, ability to introspect, and self-develop by engaging in continuous learning. · Proven ability to work independently and collaboratively in a fast-paced environment, with a proactive and results-oriented approach. · Proficient with company-based systems, Microsoft Windows and Office Suite applications. Educational Requirements and Experience*: · Master's Degree (or equivalent level preferred) in Data Science, Statistics, Mathematics, or a related quantitative field. · Proven experience (3 years or more) in a data science or similar role within a commercial business, preferably consumer-facing. · Strong proficiency in programming languages such as Python or R, and experience with statistical analysis tools (e.g., SAS, SPSS, or similar). · Hands-on experience with machine learning techniques (e.g., regression, clustering, decision trees, neural networks) and frameworks (e.g., TensorFlow, scikit-learn). · Experience with data visualization tools (e.g., Tableau, Power BI) and database querying languages (e.g., SQL). · Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud). · Familiarity with creating data analysis plans and executing A/B testing methodologies. Physical Requirements: · Prolonged periods of sitting at a desk and working on a computer. · Must be able to lift to 15 pounds at times.

Implify, Inc is a Global IT Solutions and services firm. Since it's inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models. IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry. Job Description Position: 1 Job Title: Analytics - Principal Consultant 100% Travel Duration : Full Time Permanent Qualifications Basic - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting. Must Have Skill/Competency: •Domain - Retail and/or CPG domain Knowledge •Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement •Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting •Data Understanding of Sales, Inventory, Store, Product and Promotion Data •Ability to translate business requirement to analytical model •Communicate directly with business users •Technical Skills -SQL, Advanced Excel, R/SASHadoop, Spark, Python Tableau/Spotfire/Qlikview Nice to have Skill/Competency: •Hadoop, Spark, Python •Tableau/Spotfire/Qlikview •Nielsen/IRI/Market Research Data understanding Job responsibilities: •Understand business requirement from client and translate it to appropriate Analytics use cases •Work in a team environment to deliver analytics solution to client •Define new business metrics as required and build measurement systems as needed •Enjoy designing, develop and deploy state of the art, data-driven predictive models •Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling, •Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems. Position: 2 Job Title: Analytics - Data Scientist - Architect 100% Travel Duration : Full Time Permanent Skillset: Analytics , Domain: Business Intelligence Qualifications Basic - Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting. Qualifications Preferred • MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics • 7+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms • Fluent in using R, SAS, Matlab, Python or equivalent statistical analysis software • Knowledge of Perl, Python or Ruby; experience with Java, C or C++ • Experience with Apache Spark and Scala • Knowledge of Clojure or Julia for statistical learning and optimization algorithms • Hands-on experience with NoSQL techniques such as MongoDB, Neo4j etc. • Deep background in at least one of the following: Statistical learning, Machine learning, Stochastic simulation, Natural Language Processing, Numerical Optimization, Agent-based modeling, Parallel programming, Computational Economics, High-Performance Computing Job responsibilities • Enjoy designing, develop and deploy state of the art, data-driven predictive models; adept in quick starting optimization options to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area WITHIN the guidelines, policies and norms of Infosys. Build mathematical models to analyze and derive practical insight from large volumes of data • Define new business metrics as required and build measurement systems as needed • Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems. • Own the development of at least one IP asset (analytic point solutions / prototypes / products) that meet such opportunities • The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionDescription: We are looking for an ML Architect that will help design and architect an MVP in AWS Sagemaker. Customer currently has about 20 models deployed but their operations model and data pipeline are a mess and not built well. We are looking for an architect to go through assessment and design phase through build/deploy. This individual will have a chance to be a TGS full time employee. Top Skills' Details 10+ years ML Architect AWS Snowflake python Strong Deployment skills Recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. Our vision for digital, data analytics and AI: AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack

Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices. As a Generative AI Data Science Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced data science and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders. Job Responsibilities Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs Bridge scientific research and software engineering, applying expertise in both domains Collaborate with engineering teams to lead the design and delivery of GenAI products Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications Integrate GenAI solutions with enterprise platforms using API-based methods Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails Align ML problem definition with business objectives Communicate technical information and ideas effectively to stakeholders Required Qualifications, Capabilities, and Skills Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics Ten years of experience in an individual contributor role in ML engineering Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Experience integrating GenAI solutions with enterprise platforms via standardized API patterns Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails Excellent grasp of computer science fundamentals and SDLC best practices Strong communication skills to build trust with stakeholders Preferred Qualifications, Capabilities, and Skills PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed *** Relocation assistance is not available for this role.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is looking for a Senior Product Data Scientist that provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for Engineering and Product Management. Job Responsibilities Utilize technical expertise (e.g., SQL, R, Python) with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies. Take ownership of open-ended ambiguous business problems to reach an optimal solution Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues Identify, measure and report success of product efforts through Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights, forecasting, and monitoring to understand trends and product improvement opportunities Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of GEICO data structures and metrics, advocating for changes where needed for product development Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions Basic Qualifications 8+ years experience with writing complex SQL queries and scripting language (e.g., Python, Java, or R) 5+ Years Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience designing, analysis, and refining experiments Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, Product management, Program Management, and Analytics Intellectual curiosity and drive, decisiveness, ambiguity and complexity Bachelor's degree required Preferred Qualifications Insurance industry experience Master's degree, or Advanced technical degree Experience with predictive modeling, machine learning, and experimentation/causal inference methods Experience of data modeling and data pipeline design Annual Salary $115,000.00 - $230,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

When you join Sallie, you become a champion for all students. Sallie's Education Services team is a diverse group of growth-obsessed entrepreneurs, data analysts, engineers, and developers with a passion for imagining and building scalable businesses for students and families on their unique journey to-through and immediately after higher education. We're on a mission to revolutionize how students and their families plan, pay and complete this journey with confidence. Join a team of seekers, challengers and creative thinkers to change the way students plan for their future for the better. Sallie Mae's new venture, Sallie, is looking for people like you to be the founding members who will define the future of education services for students and their families in the U.S. As the first education solutions company, we're creating products and experiences that help students when they need it most - connecting them to free money for school, providing tools and resources to plan for college, sharing inside advice on campus life, and so much more. Visit **************************** to learn more about us. We are seeking a strategic and visionary Principal Data Scientist to lead our organization-wide data science initiatives. This role will be responsible for driving advanced analytics, machine learning, large language model (LLM), and AI initiatives while fostering a culture of data as a product. The ideal candidate is a seasoned, hands-on data scientist with deep technical expertise, strong product sense, and a passion for driving measurable business impact. Experience in advertising technology (AdTech), marketing analytics, or consumer data platforms is a strong plus. You'll thrive in this role if you enjoy working in an entrepreneurial, cross-functional, and fast-moving environment, collaborating with product, engineering, marketing, and leadership to define and execute the data science vision for Sallie. Key Responsibilities: Strategic Leadership * Define and execute the data science strategy that enables SallieSM's mission to help students and families access education resources. * Serve as the data science thought leader-partnering with senior leadership to identify, prioritize, and deliver high-impact analytical solutions. * Mentor and coach data scientists and analysts, fostering a culture of curiosity, rigor, and innovation. Advanced Modeling & Applied Machine Learning * Build, evaluate, and deploy advanced ML models and generative AI systems (including LLM applications) to drive customer engagement and personalization. * Develop frameworks for experimentation, causal inference, and optimization that inform product and marketing decisions. * Ensure responsible AI practices and interpretability across all modeling efforts. Data as a Product & Platform Enablement * Partner with engineering and product teams to design scalable data pipelines, feature stores, and analytical platforms. * Lead the evolution of data into managed products-complete with ownership, lifecycle, and measurable value delivery. * Define the architecture for model deployment, monitoring, and continuous improvement. Business & AdTech Impact * Translate complex analytical outputs into actionable recommendations that shape marketing strategy, customer acquisition, and retention efforts. * Partner with finance and business operations to develop forecasting and performance models. * Identify opportunities to monetize data responsibly and ethically through new data products and partnerships. Innovation & Thought Leadership * Stay ahead of trends in AI, MLOps, and data monetization; drive adoption of emerging techniques across teams. * Champion data ethics, governance, and compliance standards that align with Sallie Mae's trusted brand. * Contribute to building the data-driven foundation that powers SallieSM's growth and competitive edge. Basic Qualifications: * Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, Economics, or related field. * 8+ years of experience in applied data science, machine learning, or quantitative research roles. * Proven expertise in statistical modeling, machine learning, and experimental design. * Strong programming proficiency in Python and SQL, with experience in tools such as PyTorch, TensorFlow, or Scikit-learn. * Hands-on experience with modern data stacks (Snowflake, Databricks, AWS, or GCP). * Demonstrated ability to translate data insights into strategic business outcomes. Preferred Qualifications: * Experience in AdTech, MarTech, or media analytics environments. * Experience deploying and scaling LLM or AI-powered applications. * Familiarity with financial modeling, forecasting, or marketing attribution. * Strong publication record or contributions to open-source projects. * Passion for responsible AI, fairness, and data ethics. Feeling your best helps you do your best: Our benefits take care of the whole you-so you can build your work around your life (not the other way around!). * Competitive base salaries * Bonus incentives * Generous PTO, Floating Holidays and 12 Federal Holidays observed * Support for financial-well-being and retirement 401k with employer match * Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more * Employer paid short-term/long-term disability and basic life insurance * Flexible hybrid working arrangements. * Paid parental leave and adoption reimbursement programs * Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware) * Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives * Tuition Reimbursement and Family Scholarship Programs * Career development and training opportunities Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click here to view the U.S. Pay Transparency Policy, here for federal job applicant notices, and here to view the California Employee Privacy Notice. Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call ************** and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

JobID: 210678919 JobSchedule: Full time JobShift: Day Base Pay/Salary: Jersey City,NJ $114,000.00-$170,000.00 Join us to shape the future of data strategy and governance. As part of our team, you'll drive impactful data initiatives, support career growth, and collaborate with experts to deliver innovative solutions. As a Data Scientist Associate in the PXT (People Experience & Technology) Data Strategy team, you will develop and maintain data architecture, standardized definitions, and comprehensive metadata. You will help ensure data quality, integrity, and compliance, supporting integration and migration efforts. You'll work closely with business and technical partners, fostering a collaborative and inclusive team culture. You will act as a subject matter expert for assigned data domains, document data lineage, and support the industrialization of data processes. Your work will enable data discoverability, understanding, and governance across the organization. Job Responsibilities * Develop and maintain standardized data definitions and comprehensive metadata for assigned data sources * Analyze data sets to identify quality issues and implement effective cleansing strategies * Create and document detailed data lineage, ensuring traceability between data fields and sources * Build and maintain high-quality metadata to enable data discoverability, understanding, and governance * Support data integration and migration efforts as part of the industrialization process * Ensure data quality, integrity, and compliance with governance policies within assigned domains * Act as subject matter expert for assigned data domains Required Qualifications, Capabilities, and Skills * Three years in data management, data engineering, data scientist or related roles * Strong analytical, data profiling, and problem-solving skills; able to identify and resolve data quality issues * Proven ability to create, document, and maintain high-quality metadata and data lineage for complex data sets * Technically proficient in data management tools, data governance, quality assurance, lifecycle management, and data integration * Experience with data security, privacy regulations, and data-driven decision-making * Excellent communication and documentation skills; able to translate complex data insights into actionable recommendations and clear reports * Collaborative team player with experience working across business and technical stakeholders * Strategic thinking and adaptability; able to align data initiatives with business goals and adjust to changing priorities * Experience driving process improvements and optimizing data workflows Preferred Qualifications, Capabilities, and Skills * Experience with advanced data visualization platforms * Experience in financial services or similar regulated industries * Experience with data cataloging and data discoverability platforms

The Philadelphia 76ers are seeking a Senior Data Scientist to join the Basketball Research and Development team. This role supports decision-making across all departments in Basketball Operations. The ideal candidate combines a strong foundation in machine learning, predictive modeling, and data engineering. RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED, TO THE BELOW: Lead the development, validation, and deployment of models that evaluate and forecast player and team performance Work with large, complex, and often noisy datasets (including player-tracking and biomechanical data) to generate actionable insights on the court Collaborate with front office and coaching staff to translate analytical findings into decision support tools Continuously iterate on existing models and infrastructure to improve performance and usability Stay up to date with emerging techniques in data science, sports analytics, and related academic research QUALIFICATIONS: 3+ years of professional experience in a data science, research, or quantitative modeling role Expertise with modern machine learning techniques Proficiency in at least one programming language, Python and SQL experience preferred Familiarity with data engineering or cloud platforms (AWS, GCP, or Azure) is a plus Self-motivated, proactive, and comfortable working on open-ended or ambiguous problems Passion for basketball and for leveraging data to improve decision-making WORKING CONDITIONS: Travel Requirements: May be required to travel occasionally, including between HBSE's various offices; trips may require air travel and/or overnight stay. Work Environment: This position generally requires that work primarily be performed from the Penn Medicine/Philadelphia 76ers' office in Camden, NJ, and may require attendance at events taking place at the Xfinity Mobile Arena in Philadelphia, PA. COMPENSATION AND BENEFITS: The pay range for this position at commencement of employment is expected to be between $130,000 and $200,000/year. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including eligibility for bonus. This position may be governed by an employment agreement, on a form to be provided by the Company, with an expected initial term of two years, although all terms and conditions of any such employment agreement are subject to negotiation between the selected candidate and the Company. If, instead, this position is determined to be an “at will position”, the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. The benefits package for the position may include the following, subject to the terms of the then-in-effect Company policies, plan documents and other eligibility criteria: Medical/Dental/Vision/Flexible Spending Accounts Pretax Transportation Benefit Generous Parental Leave policies 401K (with a company match after 1 year of service) Generous Paid Time Off policies 13 Paid Holidays ½ Day Summer Fridays Complimentary or Discounted Sports & Concert Tickets On Site Fitness Rooms Other League & Partner Discounts Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

WHO WE ARE: Founded by Josh Harris and David Blitzer, Harris Blitzer Sports & Entertainment (HBSE) includes in its portfolio the Philadelphia 76ers, the New Jersey Devils, Prudential Center in Newark, N.J., the Delaware Blue Coats, the Utica Comets and a variety of other sports and entertainment properties. Led by some of the best and brightest minds in the industry, HBSE positions itself as a pioneering and innovative global sports and entertainment business enterprise. We also strive to positively impact the local communities in which we operate through the powerful platform of sports. HBSE offers an energetic work environment built on collaboration, growth and a quest to excel in everything we do. HBSE owns the NBA's Philadelphia 76ers, one of the most storied franchises in American sports, having won three championships led by some of the most iconic athletes in NBA history. As part of its portfolio, Prudential Center in downtown Newark, N.J. annually hosts more than 200 games, concerts, family shows and special events and is a top-5 ranked sports and entertainment venue in the U.S. by Pollstar and Billboard. It is home to the New Jersey Devils, a renowned NHL franchise with three Stanley Cup championships and a proud, passionate fan base. OUR COMMITMENT TO INCLUSION: At HBSE, we are dedicated to hiring the best talent from the communities where we live, work and play - across all groups and levels; supporting and developing every employee to reach their potential; and creating an inclusive environment that allows team members to bring their true authentic selves to work. POSITION OVERVIEW: The Philadelphia 76ers are seeking a Senior Data Scientist to join the Basketball Research and Development team. This role supports decision-making across all departments in Basketball Operations. The ideal candidate combines a strong foundation in machine learning, predictive modeling, and data engineering. RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED, TO THE BELOW: * Lead the development, validation, and deployment of models that evaluate and forecast player and team performance * Work with large, complex, and often noisy datasets (including player-tracking and biomechanical data) to generate actionable insights on the court * Collaborate with front office and coaching staff to translate analytical findings into decision support tools * Continuously iterate on existing models and infrastructure to improve performance and usability * Stay up to date with emerging techniques in data science, sports analytics, and related academic research QUALIFICATIONS: * 3+ years of professional experience in a data science, research, or quantitative modeling role * Expertise with modern machine learning techniques * Proficiency in at least one programming language, Python and SQL experience preferred * Familiarity with data engineering or cloud platforms (AWS, GCP, or Azure) is a plus * Self-motivated, proactive, and comfortable working on open-ended or ambiguous problems * Passion for basketball and for leveraging data to improve decision-making WORKING CONDITIONS: * Travel Requirements: May be required to travel occasionally, including between HBSE's various offices; trips may require air travel and/or overnight stay. * Work Environment: This position generally requires that work primarily be performed from the Penn Medicine/Philadelphia 76ers' office in Camden, NJ, and may require attendance at events taking place at the Xfinity Mobile Arena in Philadelphia, PA. COMPENSATION AND BENEFITS: The pay range for this position at commencement of employment is expected to be between $130,000 and $200,000/year. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including eligibility for bonus. This position may be governed by an employment agreement, on a form to be provided by the Company, with an expected initial term of two years, although all terms and conditions of any such employment agreement are subject to negotiation between the selected candidate and the Company. If, instead, this position is determined to be an "at will position", the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. The benefits package for the position may include the following, subject to the terms of the then-in-effect Company policies, plan documents and other eligibility criteria: * Medical/Dental/Vision/Flexible Spending Accounts * Pretax Transportation Benefit * Generous Parental Leave policies * 401K (with a company match after 1 year of service) * Generous Paid Time Off policies * 13 Paid Holidays * ½ Day Summer Fridays * Complimentary or Discounted Sports & Concert Tickets * On Site Fitness Rooms * Other League & Partner Discounts Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

This is a hybrid role based in the Malvern, PA office. (3 days in office) The Senior Data Scientist plays a critical role within the Data Science team, driving advanced analytics, machine learning, and predictive modeling initiatives. This role focuses on developing strategic models and solutions to optimize business operations, enhance customer experience, and maximize revenue. The Senior Data Scientist must possess deep technical expertise as they will play a critical role in shaping the data science strategy. The Senior Data Scientist will collaborate closely with cross-functional teams, providing leadership in analytical projects while remaining hands-on with coding and model development. Who We Are At CubeSmart, we're intentional about culture. You can experience it everywhere from our mission statement of "genuine care" to our "It's What's Inside That Counts" tagline to calling each other "teammates" rather than employees. This spirit fosters a fun and collaborative environment that has resulted in our rapid growth and being recognized amongst the top in our industry. CubeSmart's award-winning team is made up of people who genuinely care. Teammates care about our customers and the life events and/or business needs they are facing. Teammates are passionate, responsible, and understanding. The CubeSmart team is made up of people who have a can-do attitude, are committed to their own success and the success of the company, and lead by example. If this sounds like a team and culture that matches your personal values and motivations, we want to hear from you. Responsibilities * Advanced Analytics and Modeling * Develop and implement advanced analytics and machine learning models to solve complex business problems. * Oversee the design and execution of predictive models for customer segmentation, pricing strategies, and inventory management. * Provide expert guidance on the theoretical foundations of statistical models and machine learning techniques, ensuring the selection of appropriate methods is grounded in a deep understanding of the problem context, underlying assumptions, and potential trade-offs. * Ensure the accuracy, quality, and scalability of data science solutions. * Assist in the creation and evolution of state-of-the-art MLOps implementations. Strategic Collaboration * Work with cross-functional teams, including marketing, operations, investments, and finance, to identify data-driven opportunities. * Provide actionable insights and recommendations to senior leadership based on analytical findings. * Lead projects aimed at optimizing business operations, improving customer experience, and increasing revenue. Experimentation and Testing * Design and implement testing and experimentation strategies, including A/B testing and controlled experiments. * Analyze results from experiments to measure the effectiveness of business strategies. * Develop guidelines and best practices for consistent and reliable experimentation results and monitoring. Data Infrastructure and Governance * Collaborate with IT and data engineering teams to ensure data infrastructure is reliable and scalable. * Establish and maintain data governance practices to ensure data quality, consistency, and security. * Advocate for best practices in data management. Leadership and Mentorship * Mentor junior data scientists, providing guidance on best practices and technical problem-solving. * Foster a collaborative and innovative team culture, promoting continuous learning and professional development. Communication and Stakeholder Management * Communicate complex analytical concepts and insights to non-technical stakeholders, including executives. * Develop and deliver presentations, reports, and dashboards to convey data-driven. * Build and maintain strong relationships with internal stakeholders to understand their needs and provide tailored data science solutions. Qualifications * Master's degree or Ph.D. in Economics, Data Science, Statistics, Mathematics, or a related field. * Minimum of 5 years of experience in data science, analytics, or a related field. * Proven track record in developing and deploying machine learning models and advanced analytics solutions. * Proficiency in programming languages such as Python and SQL, and big data technologies like Databricks. * Strong problem-solving skills and strategic thinking ability. * Excellent communication skills for explaining technical concepts to non-technical audiences. * Strong interpersonal skills for building relationships with stakeholders.. #LI-MT1

About Us: We believe everyone deserves a chance to improve their financial future. We're dedicated to building simple and inclusive financial products that help our members create healthy habits and achieve economic stability. The Perpay team is a motivated group of creative problem solvers who love getting things done and making an impact. Located in Center City, Philadelphia, our one-of-a-kind space promotes a collaborative work environment, unites our team, and feels like a home away from home. As a certified B Corp, Perpay is committed to building a mission-driven culture that balances purpose and performance - Learn more. Some things we're excited about: $500 million in spending power used by our members Increasing members' credit by 32 points (on average) within the first 3 months Backed by First Round Capital and JP Morgan Products we've built to make an impact: Perpay Marketplace: Combines interest-free payments and modern e-commerce to reduce cost of ownership and promote healthy repayment behavior. Perpay+: Leverages Marketplace repayment history to help members monitor and build credit with all 3 credit bureaus. Perpay Credit Card: Expands access to the flexibility and benefits of a World Mastercard by removing common barriers like high security deposits and low approval odds. About the Role: As a Senior Data Scientist at Perpay, you will be a critical player in the day-to-day success of the business, supporting new and existing product initiatives through strong analytical skills and machine learning expertise. In addition, you will be responsible for helping shape the future of the data science team by developing processes and systems that scale with our rapidly growing business. This is an exciting opportunity to make a positive impact on the execution of Perpay's mission and the lives of our customers. We are looking for someone who is passionate about all aspects of data science: from machine learning and exploratory data analysis to communication of results and real-time deployments. This crucial role will sit on our data science team and report to the Data Science Manager. If you're looking for a collaborative team that you can bounce ideas off of and learn from, this is where you belong. We are about being curious, setting the standard and building good habits at Perpay. Our greatest strength is our people and we'd love for you to be one of them! Responsibilities: Drive the end-to-end completion of data science initiatives, collaborating with stakeholders from ideation through execution, ensuring projects deliver strong impact to our customer's financial lives and the health of the business Proactively identify opportunities for the data science team to improve and expand Perpay's business model using techniques from exploratory data analysis to machine learning models, leveraging subject matter expertise of Perpay's business model Support the growth of the business by delivering scalable models and algorithms while maintaining and troubleshooting existing resources Deploy and maintain real-time model inference resources and infrastructure Deploy and maintain machine learning pipelines including batch processing and continuous training architecture Contribute to the cross-discipline adoption and responsible use of AI/LLM models and services at Perpay Present results and analyses to the a wide range of audiences: from Perpay's leadership team to non-technical peers Contribute to defining standards and best practices concerning workflow and adoption of new technologies within the Data Science team Act as an informal mentor peers What You'll Bring: 5+ years of experience* and expertise applying machine learning techniques in industry 5+ years of experience* and expertise in producing data analysis, exploratory data analysis and data visualization in industry 5+ years of experience* and expertise in developing, deploying, maintaining real-time software (e.g. models exposed as APIs) 5+ years of experience* and expertise in Cloud compute infrastructure and best practices, including familiarity with tools such as terraform and Cloud Formation Bachelor's degree or higher in a quantitative/technical field (Mathematics, Statistics, Engineering, Chemistry, Physics) Excellent communication skills, across a range of audiences from technical to non-technical Strong business acumen, demonstrated through subject matter expertise in at least one industry Capable of managing projects “end to end” including managing project scope, timelines and workloads Advanced proficiency in Python and standard data science stack (e.g. scikit-learn, pandas, numpy, matplotlib, etc.) Team player: willingness and ability to establish strong working relationships not just within the data science team itself, but across the organization *Internships not included Nice to have: Expertise in multiple advanced machine learning methodologies: e.g. deep learning, probabilistic programming, mathematical optimization, etc. Deep familiarity in multiple advanced machine learning frameworks: e.g. tensorflow, pytorch, pymc, etc. Experience with scalable compute frameworks such as Spark or Polars Experience with deployment frameworks such as Kubernetes What We'll Bring: Competitive salary + company equity 401k with company match Medical / Dental / Vision insurance Flexible Spending Account (FSA) Team member discounts Relocation assistance Pre-tax commuter benefit Student loan repayment match Gym subsidy with City Fitness Cell phone plan Paid parental leave Unlimited PTO Additional Perks: Opportunity to gain experience at one of the fastest-growing financial startups in the country Work on both e-commerce & fintech customer-facing products Collaborate cross-functionally with product, design, marketing, operations, data teams, and more This is not a remote opportunity; it is 100% onsite (#LI-Onsite) (#LI-TH1) (#LI-AK1) Perpay is proud to be an equal opportunity employer. We value diversity in all its forms and are committed to creating an inclusive environment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, sex (including pregnancy), marital status, political affiliation, age, veteran status, disability status or other non-merit factor. Please contact us at ****************** to request accommodation.

Job DescriptionAbout Us: We believe everyone deserves a chance to improve their financial future. We're dedicated to building simple and inclusive financial products that help our members create healthy habits and achieve economic stability. The Perpay team is a motivated group of creative problem solvers who love getting things done and making an impact. Located in Center City, Philadelphia, our one-of-a-kind space promotes a collaborative work environment, unites our team, and feels like a home away from home. As a certified B Corp, Perpay is committed to building a mission-driven culture that balances purpose and performance - Learn more. Some things we're excited about: $500 million in spending power used by our members Increasing members' credit by 32 points (on average) within the first 3 months Backed by First Round Capital and JP Morgan Products we've built to make an impact: Perpay Marketplace: Combines interest-free payments and modern e-commerce to reduce cost of ownership and promote healthy repayment behavior. Perpay+: Leverages Marketplace repayment history to help members monitor and build credit with all 3 credit bureaus. Perpay Credit Card: Expands access to the flexibility and benefits of a World Mastercard by removing common barriers like high security deposits and low approval odds. About the Role: As a Senior Data Scientist at Perpay, you will be a critical player in the day-to-day success of the business, supporting new and existing product initiatives through strong analytical skills and machine learning expertise. In addition, you will be responsible for helping shape the future of the data science team by developing processes and systems that scale with our rapidly growing business. This is an exciting opportunity to make a positive impact on the execution of Perpay's mission and the lives of our customers. We are looking for someone who is passionate about all aspects of data science: from machine learning and exploratory data analysis to communication of results and real-time deployments. This crucial role will sit on our data science team and report to the Data Science Manager. If you're looking for a collaborative team that you can bounce ideas off of and learn from, this is where you belong. We are about being curious, setting the standard and building good habits at Perpay. Our greatest strength is our people and we'd love for you to be one of them! Responsibilities: Drive the end-to-end completion of data science initiatives, collaborating with stakeholders from ideation through execution, ensuring projects deliver strong impact to our customer's financial lives and the health of the business Proactively identify opportunities for the data science team to improve and expand Perpay's business model using techniques from exploratory data analysis to machine learning models, leveraging subject matter expertise of Perpay's business model Support the growth of the business by delivering scalable models and algorithms while maintaining and troubleshooting existing resources Deploy and maintain real-time model inference resources and infrastructure Deploy and maintain machine learning pipelines including batch processing and continuous training architecture Contribute to the cross-discipline adoption and responsible use of AI/LLM models and services at Perpay Present results and analyses to the a wide range of audiences: from Perpay's leadership team to non-technical peers Contribute to defining standards and best practices concerning workflow and adoption of new technologies within the Data Science team Act as an informal mentor peers What You'll Bring: 5+ years of experience* and expertise applying machine learning techniques in industry 5+ years of experience* and expertise in producing data analysis, exploratory data analysis and data visualization in industry 5+ years of experience* and expertise in developing, deploying, maintaining real-time software (e.g. models exposed as APIs) 5+ years of experience* and expertise in Cloud compute infrastructure and best practices, including familiarity with tools such as terraform and Cloud Formation Bachelor's degree or higher in a quantitative/technical field (Mathematics, Statistics, Engineering, Chemistry, Physics) Excellent communication skills, across a range of audiences from technical to non-technical Strong business acumen, demonstrated through subject matter expertise in at least one industry Capable of managing projects "end to end" including managing project scope, timelines and workloads Advanced proficiency in Python and standard data science stack (e.g. scikit-learn, pandas, numpy, matplotlib, etc.) Team player: willingness and ability to establish strong working relationships not just within the data science team itself, but across the organization *Internships not included Nice to have: Expertise in multiple advanced machine learning methodologies: e.g. deep learning, probabilistic programming, mathematical optimization, etc. Deep familiarity in multiple advanced machine learning frameworks: e.g. tensorflow, pytorch, pymc, etc. Experience with scalable compute frameworks such as Spark or Polars Experience with deployment frameworks such as Kubernetes What We'll Bring: Competitive salary + company equity 401k with company match Medical / Dental / Vision insurance Flexible Spending Account (FSA) Team member discounts Relocation assistance Pre-tax commuter benefit Student loan repayment match Gym subsidy with City Fitness Cell phone plan Paid parental leave Unlimited PTO Additional Perks: Opportunity to gain experience at one of the fastest-growing financial startups in the country Work on both e-commerce & fintech customer-facing products Collaborate cross-functionally with product, design, marketing, operations, data teams, and more This is not a remote opportunity; it is 100% onsite (#LI-Onsite) (#LI-TH1) (#LI-AK1) Perpay is proud to be an equal opportunity employer. We value diversity in all its forms and are committed to creating an inclusive environment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, sex (including pregnancy), marital status, political affiliation, age, veteran status, disability status or other non-merit factor. Please contact us at careers@perpay.com to request accommodation.