Data scientist jobs in Mahwah, NJ

:" Our roster has an opening with your name on it FanDuel is looking for a Data Scientist, to drive our Sportsbook customer generosity distribution and bonus spend optimization. In this role you will be responsible for customer segmentation, modeling, automation, reporting and data analysis across all areas of Sportsbook generosity distribution. Using your numerical and technology capabilities you will play a key role in bonus spend research, optimization and communication of results to CRM and Commercial senior management. This is a great opportunity for somebody who wants to work in an environment where curiosity is rewarded, and people are empowered to make decisions. The ideal candidate will have a passion for continual learning and developing innovative solutions to business problems. THE GAME PLAN Everyone on our team has a part to play * Take on data science projects from start to finish, including working with stakeholders to agree project KPIs, and reporting on progress and outcomes throughout projects at agreed cadence * Deliver high-quality analysis, customer segmentation and predictive models which help drive incremental revenue through optimal automated bonus spend distribution * Improve our understanding of customer behaviors, efficiency of promotions, and effectiveness of bonus spend * Through idea generation and exploratory analysis, develop new and innovative ways to turn behaviors into features for use in analysis, segmentation and predictive modeling * Create, modify, and evolve models which solve business problems, and show demonstrable improvements to department KPIs * Demonstrate accurate insights and predictions using easy to interpret visualizations and clear explanations of results, recommendations, methods, biases and limitations * Work with Data Engineering and Analytics Engineer to optimize data quality and data modeling pipelines * Take responsibility to learn the necessary skills and techniques, to develop ability to work with independence, integrity and accuracy * Collaborate with key stakeholders to help in identifying areas for improvement, and support their strategic objectives * Assist in coaching, developing and performance managing less experienced team members * Contribute new ideas for data science projects which have demonstrable potential to improve revenue performance or customer experience THE STATS What we're looking for in our next teammate * Minimum of 3+ years of previous Data Science or Analytics Experience * Minimum 1+ years building and deploying complex machine learning models with real world applications * Have a developed technical skill set which facilitates high-quality, efficient & comprehensive quantitative analysis * Proficient in SQL and experience of manipulating large datasets in Microsoft Excel * Proficient in statistical or programming software and techniques (e.g. in Python, R, C#, VBA, etc.) * Strong communication and presentation skills, experienced in explaining technical projects to non-technical stakeholders * Experience working with data visualization tools like Tableau an advantage * Undergraduate degree in a numerate or technical discipline * Interest in sports is a plus * Interest or experience in the Sports betting industry is an advantage ABOUT FANDUEL FanDuel Group is the premier mobile gaming company in the United States. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry's unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product. In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states and Puerto Rico. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company's affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). PLAYER BENEFITS We treat our team right We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level. FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or another other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. The applicable salary range for this position is $116,000 - $145,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws. #LI-Hybrid "}

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 Data Scientist Location: Newark NJ Interview process: Phone and In Person (face to face) Job Descripction As a Data Scientist, you solve complex challenges and identify new opportunities using a combination of analytical expertise, business acumen, strategic thinking, and project and relationship management skills. This is an exciting opportunity to be a part of a new strategic initiative & this position is located in Newark, N.J., a quick, easy 15-minute train ride from New York Penn Station. RESPONSIBILITIES • Integrate and mine large data sets, connecting data from disparate sources to identify insights and patterns using predictive and prescriptive analytics, and machine learning techniques • Conduct intermediate and advanced statistical analysis, such as linear regression, ANOVA, time-series analysis, classification models, neural networks, decision trees, as well as analysis of unstructured data (e.g., social media listening, digital footprints, speech analytics) • Prepare and present written and verbal reports, findings, and presentations to key stakeholders, distilling complex statistical information into easy-to-understand business language • Apply knowledge of U.S. businesses and corporate groups and relevant industry knowledge to analysis and insights • Manage project budgets and timelines, ensuring times and on-budget completion QUALIFICATIONS • Experience analyzing large data sets using statistical software, such as SAS, R, Python, and SPSS, to discover new business insights • Excel and PowerPoint a must. SQL Programming and experience of at least one DBMS such as IBM DB2, Oracle, SQL Server or Sybase are required. Java strongly desired • Prior experience with building models, analyzing unstructured data, and/or machine learning • Relevant academic experience and work experience in Statistics, with exposure to data structures and data visualization • Master's degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline plus a minimum of 2-3 years of work experience, or bachelor's degree plus 5 years work experience • Well-developed written and oral communication skills, with ability to present and explain data to business manager • Strong project management skills / experience managing projects, budgets, and schedules to successful completion • Some prior exposure to financial services or insurance industry desired Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions. Requirements Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling. Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying. Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn). Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow). Strong analytical skills and the ability to work with large datasets to extract meaningful information. Experience in data preprocessing, feature engineering, and model evaluation. Excellent problem-solving abilities and strong communication skills to present findings effectively. A degree in Computer Science, Mathematics, Statistics, or a related field is preferred. Benefits About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at ***************************. Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Integrated Resources, Inc., is led by a seasoned team with combined decades in the industry. We deliver strategic workforce solutions that help you manage your talent and business more efficiently and effectively. Since launching in 1996, IRI has attracted, assembled and retained key employees who are experts in their fields. This has helped us expand into new sectors and steadily grow. We've stayed true to our focus of finding qualified and experienced professionals in our specialty areas. Our partner-employers know that they can rely on us to find the right match between their needs and the abilities of our top-tier candidates. By continually exceeding their expectations, we have built successful ongoing partnerships that help us stay true to our commitments of performance and integrity. Our team works hard to deliver a tailored approach for each and every client, critical in matching the right employers with the right candidates. We forge partnerships that are meant for the long term and align skills and cultures. At IRI, we know that our success is directly tied to our clients' success. Job Description Position: Data scientist Duration: Full-time with benefits+ Bonus Location: Penn Plaza, Newark, NJ Direct client: Immediate interview The Data Scientist will work closely with the data science lead, other analysts in the department and business owners from across the Enterprise to create, decipher, and utilize sophisticated statistical/econometric data analytics to drive effective decision making on this is a high visibility role with regular exposure to the senior officer level. Job responsibilities • Help build a foundation for state-of-the-art technical and scientific capabilities to support a number of ongoing and planned data analytics projects. Stay on top of industry's achievements and capabilities, in order to partner with the business and provide forward-thinking recommendations. • Build an in-depth understanding of the problem domain and available data assets, especially pertaining to value based programs and other strategic initiatives. • Research, design, implement, and evaluate advanced statistical approaches and models for application with most complex business issues. Build statistical and econometric models for various problems including: projections, clustering, classification, sampling, simulations, pattern analysis, etc. • Perform ad-hoc exploratory statistics and data mining tasks on very large datasets related to strategies, following consultative analytics workflow. Code your solutions and remain highly collaborative. • Take initiative in evaluating and adapting new approaches from data science and health outcomes research to business situation • Investigate data visualization and summarization techniques for conveying key findings related to the applied analytics • Communicate findings and obstacles to stakeholders to help drive the delivery to market. Come up with superb visualizations and illustrations of data that can easily be comprehended and simplified for various audiences. Write production quality code while implementing your own ideas. Present findings to internal stakeholders along with external industry conferences and academic meetings as needed. • Work alongside machine learning experts, technologists, product managers and other informatics analysts from across the organization to solve complex business problems. Responsible for identifying the data we should be collecting, devising methods of instrumenting our system to extract this information and working with technologists to develop the process to transform raw data into business insights. • Mentoring of Informatics Analyst level IIIs. Education/Experience: • Advanced degree (Master's level or higher) in mathematics, statistics, epidemiology, computer science, Public Health or other highly quantitative discipline is required • 10+ years in Health Analytics preferred • Prefer candidates with proven track record in published research as principal investigator in health industry journals Knowledge: • Demonstrated knowledge of health informatics / health outcomes research and exceptional business analysis/informatics skills are required • Requires academic journal process awareness. • Thorough understanding of probability and statistics, econometric time series analysis, and similar • Expertise in theory and practice of Machine Learning and Natural Language processing (i.e. Experience in the use of advanced statistical analysis and machine learning methods {e.g. linear regression, statistical significance, correlation, etc.}). • Requires strong programming skills. • Experience with tools such as R Programming, visualizations, SAS, Open Source etc. • Experience and in-depth knowledge of the SAS Enterprise Miner, Python programming language or similar • Knowledge of big data platforms such as Hadoop, Aster, etc. • Green Field analysis preferred Additional Information Thanks Nagesh 732-429-1641

Title Principal Predictive Modeler/Data Scientist - Insurance Analytics - NJ #2811 Company is seeking a Principal Predictive Modeler / Data Scientist. This is a senior-level technical position. Rapidly growing unit aims to design, create and offer innovative data-driven products to the property and casualty insurance as well as life insurance and parts of the credit industry. You will apply your highly developed analytical skills to work on all aspects of the insurance value chain, ranging from pricing models, fraud detection, process triaging, and financial risk models to a variety of other analytics solutions. You will also communicate with customers, external partners and internal departments while effectively leading complex analytics projects. Independently executes data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and sales support. Utilizes advanced statistical techniques to create high-performing predictive models and creative analyses to address business objectives and client needs. Demonstrates to internal and external customers how analysis can be implemented to maximize business strategies including cost benefit analyses. Provides technical sales support, which may include providing strategic consulting, needs assessments and the preparation and presentation of analytical proposals. Tests new statistical analysis methods, software and data sources for continual improvement of quantitative solutions. Creates clear and easy to understand reports and/or PowerPoint decks for client meetings or third party collaborations. Verbally presents analysis ideas, progress and results to internal managers, external partners and customers. Communicates with internal groups on data specifications and with IT engineers on model/algorithm implementation. Provides high quality ongoing customer and sales support; uncovering opportunities, answering questions, resolving problems and building solutions. Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects. Shares knowledge within the analytics group. Required qualifications: Graduate-level degree with concentration in a quantitative discipline such as statistics computer science, mathematics, economics, or operations research OR Bachelor's degree with CAS Associate or Fellow status or substantial exam progress. Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal groups (data, IT, product and sales) as well as third-party partners and customers (insurance companies). 8+ years of relevant work experience including 3 years of statistical modeling and data mining in a P&C insurance context (insurance company or insurance consulting firm) using large and complex datasets. Experience with personal lines rating plan modeling is a strong plus. Life or health insurance experience is a bonus. Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation. Programming experience with SAS (STAT, macros, EM), R and other statistical software (CART, Emblem, SPSS, Matlab). Greenplum and UNIX experience is a plus. Aptitude in performing multiple tasks and dealing with changing deadline requirements. This includes knowing when to escalate issues. Maintains a focused, flexible, organized, and proactive manner. Proficiency in Microsoft Office (Excel, Word, PowerPoint). Not just software use but proficiency in creating effective and visually appealing PowerPoint presentations, and well-structured error-free and readable spreadsheets. Bottom line requirements we need notes on with candidate submittal: 1. Graduate degree with concentration in a quantitative discipline or Bachelor's degree with CAS Associate or Fellow status. 2. 8+ years of relevant work experience including 3 years of statistical modeling and data mining in a Property and Casualty Insurance context (insurance company or insurance consulting firm). 3. Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation. 4. Programming experience with SAS (STAT, macros, EM), R and other statistical software (CART, Emblem, SPSS, Matlab). Greenplum and UNIX experience is a plus. Additional Information All your information will be kept confidential according to EEO guidelines.

Roles and Responsibilities Introduction As a Data Scientist at Rantodac, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live. Your Role and Responsibilities As an Advisory Data Scientist, you will demonstrate expertise in Advanced people analytics. We use the latest advanced analytics technologies, tools, and techniques to extract insights from our data. We work collaboratively with other teams within the company and apply these insights to make complex and strategic decisions for the benefit of Rantodac. As a Data Scientist, you'll team with some of the best mind in the industry to create innovative world class solutions focused on business needs. You'll do this by designing/developing analytical approaches to solve our client's business problems. Responsibilities: Work with clients in defining the key business problems to be solved while developing, maintaining and leveraging key client relationships. Identifying, gathering, and analyzing complex, multi-dimensional datasets utilizing a variety of tools. Designing Advanced Analytics solutions and services in the area(s) of optimization (linear, mixed integer, constraint programming) or simulations, or predictive analytics. Formulating mathematical approaches to solve those problems potentially utilizing ILOG CPLEX, Standard Query Language (SQL), Apache Spark, Statistical Packages Social Sciences(SPSS), Python, R. Using industry technologies, tools and data mining frameworks for data analytics including data visualization for analyzing and drawing conclusions. Communicating the data insights to key stakeholders and get their buy-ins. Integrating the analytics Into existing business work flows. Measuring business outcome (quantitatively and/or qualitatively) on a periodic basis. Developing junior team members and leading project tasks. Maintaining knowledge and understanding of current and emerging trends within the analytics industry. A good level of business acumen and business domain knowledge is highly preferred Required Technical and Professional Expertise A minimum of 0-2 years of experience in determining mathematical approaches to solve problems, sampling plan and gathering/ analyzing /portraying data Proficient in designing/building/managing solutions utilizing for example ILOG CPlex, Python, Standard Query Language (SQL), Apache Spark, Statistical Package Social Sciences(SPSS), or R Work experience in building predictive models using various ML algorithms, drawing insights from the model output, communicating the results to key stakeholders, integrating the analytics into existing business workflows and measuring business outcome Expertise in statistical analysis and deploying the results of the analysis Experience in data collection/ data mining/text mining Preferred Technical and Professional Expertise A minimum of 0-3 years experience in determining mathematical approaches to solve problems, sampling plan and gathering/ analyzing /portraying data Exposure to unstructured data sets and Natural Language Processing Proven Business acumen and business domain knowledge is highly preferred

Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us About the Role We're looking for a Data Scientist to help power our marketing strategy. In this role, you'll partner with Marketing, Product, and Finance to improve acquisition performance, refine attribution, and build the measurement foundations that guide our company's growth. As the first Data Scientist dedicated to marketing analytics, you will define core success metrics, evaluate funnel performance, and uncover insights that shape our go-to-market strategy. Key Responsibilities * Analyze acquisition, lifecycle, and overall marketing performance to surface trends, identify funnel gaps, and highlight opportunities to improve efficiency and customer value. * Build and maintain predictive models that support forecasting, customer understanding, targeting, and personalization. * Develop and improve marketing measurement frameworks to better understand channel impact, attribution, and drivers of growth. * Conduct deep analyses of customer behavior, segments, and retention patterns to inform marketing and product strategy. * Design, run, and evaluate experiments (e.g., A/B tests) to measure the impact of marketing initiatives and guide decision-making. * Assess multi-channel campaign performance and provide clear recommendations to marketing partners to improve outcomes. * Work closely with cross functional teams and leadership to enhance data quality, evolve marketing datasets, and support scalable analytical workflows. * Communicate insights clearly and effectively, turning complex analyses into actionable recommendations for leadership and cross-functional teams. Requirements * Minimum of 5 years of experience in data science, marketing data science, or growth analytics within B2C, B2B, e-commerce, or SaaS environments. * Advanced proficiency in SQL and Python, including experience with data manipulation libraries and statistical modeling. * Hands-on experience with modern cloud data warehouses (e.g., BigQuery) and building scalable data models or pipelines for analytics. * Strong understanding of marketing measurement, including CAC, CLV, ROAS, funnel analytics, incrementality testing, and attribution methods (MMM, MTA, SKAN). * Experience with predictive modeling, such as LTV, churn, conversion propensity, clustering, and time-series forecasting. * Familiarity with mobile measurement partners, including AppsFlyer or Adjust, and mobile attribution concepts. * Experience designing and evaluating experiments, with a solid grounding in statistical testing, causal inference, and uplift modeling. * Demonstrated ability to work cross-functionally, partnering with Marketing, Product, Finance, and Data Engineering stakeholders. * Exceptional analytical and problem-solving skills, with the ability to break down ambiguous problems and operate autonomously in fast-paced environments. * Clear and effective communication skills, with the ability to convey complex technical insights to non-technical audiences. Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions 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. Please note benefits apply to full time employees only.

Bachelors or Master's degree with specialization in Computer Science, Information Systems, Mathematics, Statistics or other quantitative disciplines Excellent ability to query large datasets using SQL queries and working with databases Excellent in programming languages such as Java, Python, etc. Experience in data extraction and processing, using MapReduce, Pig, Hive, etc. Proficient programming skills using SAS and/or R Knowledge of building and applying machine learning or predictive modeling Strong problem solving skills Exceptional ability to communicate and present findings clearly to both technical and non-technical audiences Excellent interpersonal and collaboration skills Additional Information Thanks & Regards, Praveen K. Paila ************

Experience in R, Python, creating data models using advanced predictive modeling algorithms (e.g. Boosted Trees, k-nearest neighbor, SVM, Random forest, CART, etc.) and working with unstructured data (NLP/ Hadoop/ NoSQL database). Experience in R/SAS for data cleaning & manipulation Experience in Claims data processing. Experience in Statistical Modeling Qualifications Bachelor's degree in Computer Science or related field Position requires 3 to 5+ years in data anlaystical, Financial Services industry, preferably in Retirement, Investments, or Wealth Management. Additional Information Job Status: Permanent Share the Profiles to ***************************** Contact: ************ Keep the subject line with Job Title and Location

Join our Private Bank Business Intelligence team and help shape the future of data-driven decision-making. As a Data Scientist, you will have the opportunity to drive impactful business strategies and optimize client outcomes through advanced analytics. We offer a collaborative environment focused on innovation, career growth, and continuous learning. Your expertise will enable us to deliver actionable insights and foster a culture of data excellence. Be part of a team where your skills and ideas make a difference. As a Data Scientist in the Business Intelligence team within JPMorgan Private Bank, you will lead analytical initiatives that influence business strategy and drive growth. You will design, build, and deploy predictive models and analytical solutions using both internal and external datasets. Working closely with business, sales, and marketing leaders, you will embed data science into our decision-making framework. You will help identify opportunities for improvement and innovation, supporting our mission to deliver exceptional client outcomes. Your work will directly impact the team's ability to optimize sales productivity and business development efforts. The Business Intelligence team is dedicated to leveraging data to enhance sales productivity and inform strategic decisions. You will collaborate with engineering and technology partners to ensure robust data infrastructure and governance. Your role will include sourcing and integrating new data, maintaining high standards of data quality, and sharing technical knowledge across the team. We value strong communication skills and the ability to translate complex analytics into clear recommendations. This is an exciting opportunity to join a high-performing team in a leading global financial institution. Job responsibilities + Work with cross-functional teams to deliver impactful data science solutions + Design, develop, and deploy machine learning models and advanced analytics + Apply statistical analysis and predictive modeling to extract insights from complex datasets + Conduct exploratory data analysis to identify trends and opportunities + Communicate findings and recommendations through visualizations and presentations + Identify, evaluate, and acquire data from internal and external sources + Establish and maintain data partnerships and vendor relationships + Assess data quality and reliability before integration + Collaborate with engineering teams to implement scalable data pipelines + Ensure data governance and security protocols across integration processes + Document technical specifications and integration processes for compliance Required qualifications, capabilities, and skills + Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related technical field + Three years of experience in data science, machine learning, or advanced analytics roles + Advanced proficiency in Python and SQL for data extraction, manipulation, and analysis + Experience with data visualization tools such as Tableau or Power BI + Strong analytical and problem-solving abilities with a proven ability to deliver actionable business insights Preferred qualifications, capabilities, and skills + Master's degree in Analytics, Statistics, Data Science, Mathematics, or related field + Previous experience in financial services or wealth management + Knowledge of advanced analytics techniques including machine learning and predictive modeling + Familiarity with cloud-based analytics platforms such as AWS, Azure, or Google Cloud JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans **Base Pay/Salary** New York,NY $142,500.00 - $210,000.00 / year; Jersey City,NJ $142,500.00 - $210,000.00 / year

Atlas Air is seeking a detail-oriented and analytical Network Planning Analyst to help optimize our global cargo network. This role plays a critical part in the 2-year to 11-day planning window, driving insights that enable operational teams to execute the most efficient and reliable schedules. The successful candidate will provide actionable analysis on network delays, utilization trends, and operating performance, build models and reports to govern network operating parameters, and contribute to the development and implementation of software optimization tools that improve reliability and streamline planning processes. This position requires strong analytical skills, a proactive approach to problem-solving, and the ability to translate data into operational strategies that protect service quality and maximize network efficiency. Responsibilities * Analyze and Monitor Network Performance * Track and assess network delays, capacity utilization, and operating constraints to identify opportunities for efficiency gains and reliability improvements. * Develop and maintain key performance indicators (KPIs) for network operations and planning effectiveness. * Modeling & Optimization * Build and maintain predictive models to assess scheduling scenarios and network performance under varying conditions. * Support the design, testing, and implementation of software optimization tools to enhance operational decision-making. * Reporting & Governance * Develop periodic performance and reliability reports for customers, assisting in presentation creation * Produce regular and ad hoc reports to monitor compliance with established operating parameters. * Establish data-driven processes to govern scheduling rules, protect operational integrity, and ensure alignment with reliability targets. * Cross-Functional Collaboration * Partner with Operations, Planning, and Technology teams to integrate analytics into network planning and execution. * Provide insights that inform schedule adjustments, fleet utilization, and contingency planning. * Innovation & Continuous Improvement * Identify opportunities to streamline workflows and automate recurring analyses. * Contributes to the development of new planning methodologies and tools that enhance decision-making and operational agility. Qualifications * Proficiency in SQL (Python and R are a plus) for data extraction and analysis; experience building decision-support tools, reporting tools dashboards (e.g., Tableau, Power BI) * Bachelor's degree required in Industrial Engineering, Operations Research, Applied Mathematics, Data Science or related quantitative discipline or equivalent work experience. * 5+ years of experience in strategy, operations planning, finance or continuous improvement, ideally with airline network planning * Strong analytical skills with experience in statistical analysis, modeling, and scenario evaluation. * Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment. * Excellent communication skills with the ability to convey complex analytical findings to non-technical stakeholders. * A proactive, solution-focused mindset with a passion for operational excellence and continuous improvement. * Knowledge of operations, scheduling, and capacity planning, ideally in airlines, transportation or other complex network operations Salary Range: $131,500 - $177,500 Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset. The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at ****************************************** To view our Pay Transparency Statement, please click here: Pay Transparency Statement "Know Your Rights: Workplace Discrimination is Illegal" Poster The "EEO Is The Law" Poster

Job Details Jersey City, NJ Graduate Degree $750.00 - $1000.00 CommissionDescription Seeking Adjunct Professors to teach graduate courses in data science, analytics, machine learning, and related tools at Saint Peter's. About Saint Peter's University Saint Peter's is one of 27 Jesuit colleges and universities in the United States. Established in 1872, the University blends a unique learning experience shaped by rigorous academics, internships that provide real-world experience, community service, and a genuine, caring community that supports alumni long after graduation. Saint Peter's offers more than 50 undergraduate majors as well as master's level and doctorate programs Saint Peter's University is committed to helping students achieve success not only with their academics, but also in their professional fields. As a result, we actively seek faculty members who are scholar-practitioners: professionals who are actively and successfully engaged in their field who additionally wish to help the next generation of professionals grow in their knowledge and expertise through education. Duties: Teaching graduate students in a specific field of expertise on a part-time basis in the following areas: • Big Data and Data Management • Data Mining • Machine Learning • Data Visualization • SQL • Predictive Analytics and Financial Modeling • Knowledge of Python and SAS • Tableau, IBM Watson and Excel preferred • Supervision of Capstone Consulting Engagement Adjunct Rate: $750 - $1,000 per credit hour Qualifications Qualification Standards: Actively engage students through frequent interaction that motivates them to succeed, and conveys a genuine energy and enthusiasm for their learning Guide students in active collaboration and the application of their learning in problem- and project-based learning demonstrations. Provide rich and regular constructive feedback, utilizing rubrics effectively for the assessment of student work, and acknowledging student accomplishments. Demonstrate relevant and current subject-matter expertise, and help students connect concepts across their academic program. Provide feedback to your program chair on possible curricular improvements. Developing and managing the class syllabus and ensuring that the syllabus meets department and college standards Planning and creating lectures, for both online and in-class discussions and assignments Grading assigned papers, quizzes and exams Assessing grades for students based on participation, performance in class, assignments, and examinations Advising students on how to be successful in class Staying updated on innovations and changes within their course field Education: A terminal degree (i.e., PhD, DBA, etc.) is preferred from an accredited institution of higher learning related to Data Science/Business Analytics, and a Master's is required. Experience: Professional experience in industry. Higher Education teaching experience preferred.

· Mine and translate data into meaningful insights and recommendations for the operational and strategic business units · Answer key business questions by using analytical & statistical techniques on data · Drive the collection of new data sources and the refinement of existing data sources · Analyze, interpret & communicate the results of experiments to the business units · Evaluate and modify statistical methodologies, techniques and processes · Work with cross-functional teams on the day-to-day execution of data & analytics projects and initiatives · Produce dynamic data driven analytic solutions to support the strategic goals of the company · Develop process improvements, analytical frameworks, share expertise with others, mentor and continually strive to improve overall contributions to the department Qualifications · A flexible analytic approach that allows for results at varying levels of precision · Strong background in statistical concepts including regression analysis, factoring, clustering, decision trees, A/B testing and experimental design · Experience with various data types (e.g. Relational, unstructured, Hierarchical, etc.) · The ability to communicate complex quantitative analysis in a clear, precise and actionable manner · Possess excellent verbal and written communication skills, attention to details, and the ability to multi-task · Work independently with minimal supervision · Be detail-oriented and comfortable with a fast-paced, structured, retail environment Additional Information Education/Certification: · A minimum Master's degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics or a related field Required Knowledge: · Expert knowledge of SAS and SQL · Expert knowledge of Advance Machine Learning (Deep learning) and Artificial Intelligence (AI) techniques and applications Experience Required: · 5 - 10 years professional experience in solving analytical problems using quantitative approaches All your information will be kept confidential according to EEO guidelines.

**We are the makers of possible.** BD is one of the largest global medical technology companies in the world. Advancing the world of health is our Purpose, and it's no small feat. It takes the imagination and passion of all of us-from design and engineering to the manufacturing and marketing of our billions of MedTech products per year-to look at the impossible and find transformative solutions that turn dreams into possibilities. We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you'll be supported to learn, grow and become your best self. Become a maker of possible with us. **Job Description** We are seeking a full-time, experienced and dynamic Clinical Data Insight Consultant to join our team. This Insight Consultant will conduct data analysis to drive the adoption and optimization of Medication Management Solutions (MMS) products. The successful candidate will be responsible for data driven insights across the MMS product portfolio, specifically aligned with the top IDN's and must have experience with the Pyxis dispensing platform. The National Insight Consultant will be part of the Clinical Customer Success (CCSO) organization. **Responsibilities** + Serves as a consultant to our most strategic customers, providing proactive insights, to achieve clinical, financial and operational outcomes with our Pyxis dispensing products. + Maintains deep domain and product expertise in the Pyxis Dispensing suite of products and understands how to use the data to drive operational improvements in hospital pharmacy. + Works with the Account Team and Clinical Solutions Consultants in the National Strategic Accounts to improve workflow and optimize the current suite of products. + Occasionally travels to customer locations for in-person engagements. + Working with internal and external teams to establish support for education and related data analytics activities. + Supports the Account Team and Clinical Solutions Consultant to lead, understand, and use data from dispensing products to drive process improvement with the customers and end users in the National Accounts. + Provides proactive consulting and insights to internal teams and our customers to improve medication safety and inventory management. + Translates success in key performance indicators and other outcomes to value realization with the customer either clinical, operational or financial. + Maintains a close working relationship with cross functional account team and service teams. + Is consulted by marketing, product managers with marketplace surveillance, customer needs, and future product development. + Serves as a subject matter expert to drive internal tool development to support our data analytics and efforts to measure outcomes. **Minimum Requirements:** + **Professional License/Certification:** Pharmacist preferred. Pharmacy Technician (RPhT and/or CPhT) may also be considered. + **Education:** Bachelor's Degree + **Product Knowledge:** Must have experience with the Pyxis dispensing platform and software technology. + **Experience:** Three or more years in a healthcare environment with technical systems involvement. + **Knowledge:** Expertise in pharmacy operational workflow. + **Travel:** Ability to travel 25-50% of the time. **Preferred Qualifications:** + Recent, relevant consulting experience + Process improvement methodology knowledge + Self-starter with passion for data analysis + Excellent communication skills + Self-directed with independent initiative + Ability to influence without authority + Excellent presentation skills + Strong relationship building and social skills + Ability to interface at all levels of organization (internal and external) + Ability to uncover customer needs and translate them into solutions At BD, we prioritize on-site collaboration because we believe it develops creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting. For certain roles at BD, employment is contingent upon the Company's receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required. Consistent with BD's Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law. At BD, we are committed to supporting our associates' well-being, development, and success through a performance-based culture. For this position, BD offers a competitive compensation package along with the following benefits specific to this role: + Annual Bonus Health and Well-being Benefits + Medical coverage + Health Savings Accounts + Flexible Spending Accounts + Dental coverage + Vision coverage + Hospital Care Insurance + Critical Illness Insurance + Accidental Injury Insurance + Life and AD&D insurance + Short-term disability coverage + Long-term disability insurance + Long-term care with life insurance Other Well-being Resources + Anxiety management program + Wellness incentives + Sleep improvement program + Diabetes management program + Virtual physical therapy + Emotional/mental health support programs + Weight management programs + Gastrointestinal health program + Substance use management program + Musculoskeletal surgery, cancer treatment, and bariatric surgery benefit Retirement and Financial Well-being + BD 401(k) Plan + BD Deferred Compensation and Restoration Plan + 529 College Savings Plan + Financial counseling + Baxter Credit Union (BCU) + Daily Pay + College financial aid and application guidance Life Balance Programs + Paid time off (PTO), including all required State leaves + Educational assistance/tuition reimbursement + MetLife Legal Plan + Group auto and home insurance + Pet insurance + Commuter benefits + Discounts on products and services + Academic Achievement Scholarship + Service Recognition Awards + Employer matching donation + Workplace accommodations Other Life Balance Programs + Adoption assistance + Backup day care and eldercare + Support for neurodivergent adults, children, and caregivers + Caregiving assistance for elderly and special needs individuals + Employee Assistance Program (EAP) + Paid Parental Leave + Support for fertility, birthing, postpartum, and age-related hormonal changes Leave Programs + Bereavement leaves + Military leave + Personal leave + Family and Medical Leave (FML) + Jury and Witness Duty Leave **Why Join Us?** A career at BD means being part of a team that values your opinions and contributions and that encourages you to bring your authentic self to work. It's also a place where we help each other be great, we do what's right, we hold each other accountable, and learn and improve every day. To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of health. At BD, you'll discover a culture in which you can learn, grow, and thrive. And find satisfaction in doing your part to make the world a better place. To learn more about BD visit ********************** Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally-protected characteristics. Required Skills Optional Skills . **Primary Work Location** USA NJ - Franklin Lakes **Additional Locations** **Work Shift** At BD, we are strongly committed to investing in our associates-their well-being and development, and in providing rewards and recognition opportunities that promote a performance-based culture. We demonstrate this commitment by offering a valuable, competitive package of compensation and benefits programs which you can learn more about on our Careers Site under Our Commitment to You (********************************************* . Salary or hourly rate ranges have been implemented to reward associates fairly and competitively, as well as to support recognition of associates' progress, ranging from entry level to experts in their field, and talent mobility. There are many factors, such as location, that contribute to the range displayed. The salary or hourly rate offered to a successful candidate is based on experience, education, skills, and any step rate pay system of the actual work location, as applicable to the role or position. Salary or hourly pay ranges may vary for Field-based and Remote roles. **Salary Range Information** $114,500.00 - $189,100.00 USD Annual Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.

Summary We are the makers of possible. BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it's no small feat. It takes the imagination and passion of all of us-from design and engineering to the manufacturing and marketing of our billions of MedTech products per year-to look at the impossible and find transformative solutions that turn dreams into possibilities. We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you'll be supported to learn, grow and become your best self. Become a maker of possible with us. Job Description We are seeking a full-time, experienced and dynamic Clinical Data Insight Consultant to join our team. This Insight Consultant will conduct data analysis to drive the adoption and optimization of Medication Management Solutions (MMS) products. The successful candidate will be responsible for data driven insights across the MMS product portfolio, specifically aligned with the top IDN's and must have experience with the Pyxis dispensing platform. The National Insight Consultant will be part of the Clinical Customer Success (CCSO) organization. Responsibilities Serves as a consultant to our most strategic customers, providing proactive insights, to achieve clinical, financial and operational outcomes with our Pyxis dispensing products. Maintains deep domain and product expertise in the Pyxis Dispensing suite of products and understands how to use the data to drive operational improvements in hospital pharmacy. Works with the Account Team and Clinical Solutions Consultants in the National Strategic Accounts to improve workflow and optimize the current suite of products. Occasionally travels to customer locations for in-person engagements. Working with internal and external teams to establish support for education and related data analytics activities. Supports the Account Team and Clinical Solutions Consultant to lead, understand, and use data from dispensing products to drive process improvement with the customers and end users in the National Accounts. Provides proactive consulting and insights to internal teams and our customers to improve medication safety and inventory management. Translates success in key performance indicators and other outcomes to value realization with the customer either clinical, operational or financial. Maintains a close working relationship with cross functional account team and service teams. Is consulted by marketing, product managers with marketplace surveillance, customer needs, and future product development. Serves as a subject matter expert to drive internal tool development to support our data analytics and efforts to measure outcomes. Minimum Requirements: Professional License/Certification: Pharmacist preferred. Pharmacy Technician (RPhT and/or CPhT) may also be considered. Education: Bachelor's Degree Product Knowledge: Must have experience with the Pyxis dispensing platform and software technology. Experience: Three or more years in a healthcare environment with technical systems involvement. Knowledge: Expertise in pharmacy operational workflow. Travel: Ability to travel 25-50% of the time. Preferred Qualifications: Recent, relevant consulting experience Process improvement methodology knowledge Self-starter with passion for data analysis Excellent communication skills Self-directed with independent initiative Ability to influence without authority Excellent presentation skills Strong relationship building and social skills Ability to interface at all levels of organization (internal and external) Ability to uncover customer needs and translate them into solutions At BD, we prioritize on-site collaboration because we believe it develops creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting. For certain roles at BD, employment is contingent upon the Company's receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required. Consistent with BD's Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law. At BD, we are committed to supporting our associates' well-being, development, and success through a performance-based culture. For this position, BD offers a competitive compensation package along with the following benefits specific to this role: Annual Bonus Health and Well-being Benefits Medical coverage Health Savings Accounts Flexible Spending Accounts Dental coverage Vision coverage Hospital Care Insurance Critical Illness Insurance Accidental Injury Insurance Life and AD&D insurance Short-term disability coverage Long-term disability insurance Long-term care with life insurance Other Well-being Resources Anxiety management program Wellness incentives Sleep improvement program Diabetes management program Virtual physical therapy Emotional/mental health support programs Weight management programs Gastrointestinal health program Substance use management program Musculoskeletal surgery, cancer treatment, and bariatric surgery benefit Retirement and Financial Well-being BD 401(k) Plan BD Deferred Compensation and Restoration Plan 529 College Savings Plan Financial counseling Baxter Credit Union (BCU) Daily Pay College financial aid and application guidance Life Balance Programs Paid time off (PTO), including all required State leaves Educational assistance/tuition reimbursement MetLife Legal Plan Group auto and home insurance Pet insurance Commuter benefits Discounts on products and services Academic Achievement Scholarship Service Recognition Awards Employer matching donation Workplace accommodations Other Life Balance Programs Adoption assistance Backup day care and eldercare Support for neurodivergent adults, children, and caregivers Caregiving assistance for elderly and special needs individuals Employee Assistance Program (EAP) Paid Parental Leave Support for fertility, birthing, postpartum, and age-related hormonal changes Leave Programs Bereavement leaves Military leave Personal leave Family and Medical Leave (FML) Jury and Witness Duty Leave Why Join Us? A career at BD means being part of a team that values your opinions and contributions and that encourages you to bring your authentic self to work. It's also a place where we help each other be great, we do what's right, we hold each other accountable, and learn and improve every day. To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of health. At BD, you'll discover a culture in which you can learn, grow, and thrive. And find satisfaction in doing your part to make the world a better place. To learn more about BD visit ********************** Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally-protected characteristics. Required Skills Optional Skills . Primary Work LocationUSA NJ - Franklin LakesAdditional LocationsWork Shift At BD, we are strongly committed to investing in our associates-their well-being and development, and in providing rewards and recognition opportunities that promote a performance-based culture. We demonstrate this commitment by offering a valuable, competitive package of compensation and benefits programs which you can learn more about on our Careers Site under Our Commitment to You. Salary or hourly rate ranges have been implemented to reward associates fairly and competitively, as well as to support recognition of associates' progress, ranging from entry level to experts in their field, and talent mobility. There are many factors, such as location, that contribute to the range displayed. The salary or hourly rate offered to a successful candidate is based on experience, education, skills, and any step rate pay system of the actual work location, as applicable to the role or position. Salary or hourly pay ranges may vary for Field-based and Remote roles. Salary Range Information $114,500.00 - $189,100.00 USD Annual

We seek a Senior Data Scientist (Experimental Design) to join our client's Data Science Lab in a Hybrid role (2 days a week in Office). This is a Direct Hire opportunity. Hybrid Office locations: New York, Holmdel, Stamford, Bethlehem, Pittsfield Your Job As a Senior Data Scientist, you will be responsible for developing advanced data science solutions leveraging machine learning and artificial intelligence to drive enterprise-wide innovation. You will collaborate with senior executives on high-impact, high-visibility projects to deliver AI/ML solutions and create value from our data and analytic products. Your responsibilities will include developing test and learn capabilities, designing and executing experiments, creating statistical and AI/ML models, and conducting A/B testing. The Work Develop Enterprise Test and Learn Capabilities Investigating the current state of the art of experimentation practices and causal inferencing/ML techniques to identify opportunities for upscaling the methodology best practices Develop and execute advanced data-driven experiments to optimize various aspects of client's business Create test hypothesis, experiment design including KPI selection, and collect and analyze data Develop statistical and AI/ML models to analyze experimental data and derive actionable insights Apply statistical methods to assess the reliability and significance of experimental results Conduct A/B testing, multivariate tests, and other experimental methodologies to optimize customer experience, product features, marketing campaigns, and other business objectives Organize and manage data to extract insights that can be further incorporated into solution/model • Support use case development that includes initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets Utilize advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs Identify source data and data quality checks both in model/solution development and in production Package model/solution and deployment in cooperation with Data Engineers and MLOps Develop Deep Learning/Large Language Model/Generative AI capabilities Map and mine unstructured data such as insurance contracts, medical records, sale notes, and customer servicing logs AI/ML solutions include but not limited to enhancing underwriting risk assessment, claims auto adjudication, and customer servicing Contribute to the overall Data Science organization Collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups Contribute to standardization of Data Science tools, processes, and best practices Qualifications Combination of education in Statistics, Computer Science, Engineering, Applied mathematics or related field AND professional experience in Data Science or Data Analysis equaling either: PhD with 2+ years professional experience Master's degree with 4+ years professional experience 3+ years of hands-on ML modeling/development experience Strong theoretical foundations in probability & statistics, and causal inferencing techniques Proven expertise in setting up hypotheses to assess consumer behavior, in designing, implementing and deploying tests Strong programming skills in Python including PyTorch and/or Tensorflow Solid background in algorithms and a range of ML models Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Nice to Have Experience in the insurance industry Experience with big data technologies such as Hadoop, Spark, and/or cloud computing Knowledge of Agile development methodology Experience with data visualization tools such as Tableau, QlikView, and/or D3.js #DataScience #MachineLearning #ExperimentalDesign #AI #Python #PyTorch #Tensorflow #Algorithms #MLModeling #DataEngineering #DataWrangling #ETL #DataMatching #DeepLearning #LargeLanguageModel #GenerativeAI #InsuranceIndustry #BigData #Hadoop #Spark #CloudComputing #Agile #DataVisualization #Tableau #QlikView #D3js

Primary duties may include, but are not limited to troubleshooting, investigating, configuration, implementation, ongoing management and support of the Data Loss Prevention program. Must possess a high degree of initiative, motivation, and problem solving skills. Ability to support and liaise with business data owners to incorporate data protection products and provisions into their processes. Responsible for data security pertaining to identifying potential security vulnerabilities, necessary controls to protect data, determining effectiveness of existing controls or designing those needed. Responsibilities may also include ownership of data security devices, applications, systems, processes, or policies. Qualifications 6+ years' experience in Information Security support/operations or design/engineering role. Data Loss Prevention knowledge of concepts/products (Symantec DLP, McAfee DLP, Digital Client, RSA, etc) and Data Encryption concepts/products (Vormetric, Protegrity, Voltage, etc). Ability to communicate security, data protection, data loss prevention related concepts to a broad range of technical and non-technical staff effectively at multiple organizational levels. Proven background in security engineering, data protection, data lifecycle management, data loss prevention or the supporting of these security solutions. Experience with Symantec DLP in an enterprise environment is required. Experience deploying in the cloud and on-premises. Experience with networking concepts/protocols. Experience with scripting languages (Perl, Python, or PowerShell). Experience with large scale networks including Microsoft Exchange and Active Directory. Additional Information If you are interested, feel free to call me: ************

Job DescriptionBenefits: 401(k) Opportunity for advancement Training & development About the Role Red Hill Consulting (RHC) is seeking a highly skilled Senior Strategy, Data & AI Consultant to join our consulting team. This role is ideal for a candidate who excels at transforming complex organizational challenges into clear, strategic, and forward-looking solutions. As an RHC Consultant, you will work with cross-functional technical and operational teams to shape data governance frameworks, AI adoption strategies, and technology roadmaps that support enterprise-wide modernization. This position offers the opportunity to influence high-impact initiatives, guide organizational data maturity, and help design responsible, innovative AI capabilities that enhance efficiency, transparency, and long-term digital readiness. The role is part-time (four days per week) with the possibility of transitioning into a full-time position based on performance and project needs. Key Responsibilities Develop and deliver Data Governance Strategies that strengthen organizational data quality, transparency, and accessibility. Create comprehensive AI Adoption and AI Governance roadmaps, including culture-change initiatives and staff upskilling plans. Conduct organizational Data Maturity Assessments and recommend actionable steps to elevate maturity across people, processes, and technologies. Integrate Responsible AI principles into strategic planning, ensuring ethical, secure, and compliant use of AI solutions. Establish a curation and evaluation process for new AI innovations and use cases. Build and implement AI Governance and Risk Assessment processes tailored to enterprise environments. Identify and define the people, processes, and technology architecture required to operationalize AI successfully. Lead and manage data governance initiatives, from discovery and planning through successful delivery and documentation. Collaborate closely with technical teams to ensure the Data & AI strategy aligns with organizational needs and broader digital transformation goals. Solve complex information, data, and technology challenges by designing solutions that demonstrate measurable value. Manage relationships with key internal stakeholders to improve collaboration and drive operational efficiency. Plan, prioritize, and assign project work to ensure successful, timely execution. Facilitate working groups through interviews, workshops, process mapping, and business analysis activities. Qualifications & Skills Required Qualifications Bachelors degree in Engineering, Data/Computer Science, or a related field (Masters preferred). 3+ years leading AI strategy or executing AI initiatives in mid-to-large organizations. 5+ years working in or with engineering, design, or construction organizations. 2+ years hands-on experience with Microsoft Azure AI and storage tools. Strong proficiency with Microsoft 365 (Word, Excel, PowerPoint) and Adobe Acrobat Pro. Exceptional analytical, communication, and conceptual thinking skills. Ability to manage multiple priorities, meet deadlines, and operate independently. Preferred Qualifications Experience with additional AI platforms or tools. Experience in large-scale digital transformation or enterprise architecture. About Us At Red Hill Consulting LLC, we are more than just consultantswe are problem solvers, innovators, and strategic partners. With expertise in IT, governance, risk management, compliance, and business transformation, we help organizations navigate complexity and drive meaningful change. Our team specializes in delivering tailored, high-impact solutions that empower businesses to optimize processes, enhance security, and leverage data-driven insights. Whether it's implementing cutting-edge technology, refining operational strategies, or ensuring regulatory compliance, we take a proactive, hands-on approach to solving challenges. Rooted in our core values of Integrity, Innovation, and Excellence, we foster a collaborative environment where expertise meets execution. Our clients span industries such as finance, healthcare, government, and technology, and we pride ourselves on delivering measurable results that drive sustainable success.

Who We Are At Corebridge Financial, we believe action is everything. That's why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow. We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life: * We are stronger as one: We collaborate across the enterprise, scale what works and act decisively for our customers and partners. * We deliver on commitments: We are accountable, empower each other and go above and beyond for our stakeholders. * We learn, improve and innovate: We get better each day by challenging the status quo and equipping ourselves for the future. * We are inclusive: We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work. Who You'll Work With This position will report to Chief Pricing Actuary, Institutional Markets About The Role The Assistant Actuary will be a member of a team providing actuarial support for the Institutional Markets line of business. The primary focus will be on the pricing of domestic and international pension risk transfer deals: buy-outs, buy-ins, reinsurance, and longevity products. As a member of the pricing team, responsibilities will include interfacing with business unit management and other functional areas such as underwriting, valuation, policy administration, ERM, and the sales team. The actuary will also support the development of new international markets, experience analysis of jumbo deals, and current product maintenance as needed, and also maintain department documentation of products and processes. Responsibilities * Support pricing projects, including deriving assumptions, scenario analysis, producing high quality pricing memorandum and other documentation as applicable, within required timeframe. * Success necessitates the opportunity for significant interaction with business management and other functional areas throughout the company to complete pricing projects. * Support other actuarial product management/maintenance initiatives as required. This includes providing input to the post-bid process, monitoring the competitive and regulatory landscape, and identifying risks and opportunities in the product portfolio and collaborating on corresponding solutions. * Maintain and continue to enhance the pricing model, the pricing process, and department documentation. This entails monitoring company and industry experience and the economic environment, recommending, documenting, and implementing pricing updates and modeling improvements. Skills and Qualifications * near ASA or ASA. * 3+ years of actuarial experience. Prior experience in deriving assumptions for pricing pension risk transfer deals, pension consulting or valuation, or pricing similar insurance products (e.g. fixed annuities or payout annuities) is a 'plus'. * Experience with Prophet modeling software is a 'plus'. * Excellent verbal and written communication skills required and the ability to work independently and within a team are required. * Detail oriented, including attention to documentation. Compensation The anticipated salary range for this position is $110,000 to $130,000 at the commencement of employment. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered will ultimately be dependent on multiple factors, which may include the candidate's geographic location, skills, experience and other qualifications. Work Location This position is based in Corebridge Financial's Houston, TX or Jersey city, NJ. Estimated Travel May include up to 25%. Why Corebridge? At Corebridge Financial, we prioritize the health, well-being, and work-life balance of our employees. Our comprehensive benefits and wellness program is designed to support employees both personally and professionally, ensuring that they have the resources and flexibility needed to thrive. Benefit Offerings Include: * Health and Wellness: We offer a range of medical, dental and vision insurance plans, as well as mental health support and wellness initiatives to promote overall well-being. * Retirement Savings: We offer retirement benefits options, which vary by location. In the U.S., our competitive 401(k) Plan offers a generous dollar-for-dollar Company matching contribution of up to 6% of eligible pay and a Company contribution equal to 3% of eligible pay (subject to annual IRS limits and Plan terms). These Company contributions vest immediately. * Employee Assistance Program: Confidential counseling services and resources are available to all employees. * Matching charitable donations: Corebridge matches donations to tax-exempt organizations 1:1, up to $5,000. * Volunteer Time Off: Employees may use up to 16 volunteer hours annually to support activities that enhance and serve communities where employees live and work. * Paid Time Off: Eligible employees start off with at least 24 Paid Time Off (PTO) days so they can take time off for themselves and their families when they need it. Eligibility for and participation in employer-sponsored benefit plans and Company programs will be subject to applicable law, governing Plan document(s) and Company policy. We are an Equal Opportunity Employer Corebridge Financial, is committed to being an equal opportunity employer and we comply with all applicable federal, state, and local fair employment laws. All applicants will be considered for employment based on job-related qualifications and without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, neurodivergence, age, veteran status, or any other protected characteristic. The Company is also committed to compliance with all fair employment practices regarding citizenship and immigration status. At Corebridge Financial, we believe that diversity and inclusion are critical to building a creative workplace that leads to innovation, growth, and profitability. Through a wide variety of programs and initiatives, we invest in each employee, seeking to ensure that our colleagues are respected as individuals and valued for their unique perspectives. Corebridge Financial is committed to working with and providing reasonable accommodations to job applicants and employees, including any accommodations needed on the basis of physical or mental disabilities or sincerely held religious beliefs. If you believe you need a reasonable accommodation in order to search for a job opening or to complete any part of the application or hiring process, please send an email to ******************************************. Reasonable accommodations will be determined on a case-by-case basis, in accordance with applicable federal, state, and local law. We will consider for employment qualified applicants with criminal histories, consistent with applicable law. To learn more please visit: *************************** Functional Area: AC - Actuarial Estimated Travel Percentage (%): Up to 25% Relocation Provided: No American General Life Insurance Company