Data scientist jobs in Nanuet, NY - 562 jobs

Data Engineer Check below to see if you have what is needed for this opportunity, and if so, make an application asap. - Data Integration, IBM Corporation, Armonk, NY and various unanticipated client sites throughout the US: Manage the end-to-end delivery of data migration projects, implementing ETL/ELT concepts and leveraging ETL tools such as Informatica and DataStage, and cloud platforms like Google Cloud. Design and build end-to-end data pipelines to extract, integrate, transform, and load data from diverse source systems into target environments such as databases, data warehouses, or data marts. Collaborate with clients to define data mapping and transformation rules, ensuring accurate application prior to loading. Normalize data and establish relational structures to support system migrations. Develop processes for data cleaning, filtering, aggregation, and augmentation to maintain data integrity. Implement validation checks and data quality controls to ensure accuracy and consistency across systems. Create, maintain, and optimize SQL procedures, functions, triggers, and ETL/ELT processes. Develop, debug, and maintain ETL jobs while applying query optimization techniques - such as indexing, clustering, partitioning, and use of analytical functions - to enhance performance on large datasets. Partner with data analysts, data scientists, and business stakeholders to understand requirements and ensure delivery of the right data. Capture fallouts and prepare reports using Excel, Power BI, Looker, Crystal Reports, etc. Perform root cause analysis and resolution. Monitor and maintain pipelines to ensure stability and efficiency of data pipelines through regular monitoring, troubleshooting, and performance optimization. Maintain thorough and up-to-date documentation of all data integration processes, pipelines, and architectures. Analyze current trends, tools, and technologies in data engineering and integration. Utilize: Google Cloud Platform (Google Big Query, Cloud Storage, Google Looker), Procedural language/Structured Query Language (PL/SQL), Informatica, DataStage, Data Integration, Data Warehousing, Database Design / Modelling, Data Visualization (Power BI/ Crystal reports). Required: Master's degree or equivalent in Computer Science or related (employer will accept a bachelor's degree plus five (5) years of progressive experience in lieu of a master's degree) and one (1) year of experience as a Data Engineer or related. One (1) year of experience must include utilizing Google Cloud Platform (Google Big Query, Cloud Storage, Google Looker), Procedural language/Structured Query Language (PL/SQL), Informatica, DataStage, Data Integration, Data Warehousing, Database Design / Modelling, Data Visualization (Power BI/ Crystal reports). $167835 to $216700 per year. Please send resumes to Applicants must reference D185 in the subject line. xevrcyc JobiqoTJN. Keywords: Data Engineer, Location: NORTH CASTLE, NY - 10504

About this role In Gartner's Services Data Science team, we innovate the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way. We are searching for a talented data scientist to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team. What you'll do * Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow. * Using advanced Generative AI techniques deriving actionable insights from unstructured text data, such as call transcripts and emails. * Predicting client interest basis their digital footprint and making relevant recommendations to drive higher client value delivery * Leverage statistical and machine learning techniques to extract actionable insights from client retention data. * Develop customer churn prediction models that proactively identify at-risk clients, * Build tools to process structured and unstructured data * Engineering features and signals to train ML model from diverse data collection What you'll need * BS required/ MS/ preferred; in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus) * 4 years' experience in data science methodologies as applied to live initiatives or software development// Experience working with Gen AI projects * Minimum 4+ years of experience in python coding and statistical analysis * Minimum 2 years working experience in several of the following: o Prompt Engineering and working with LLMs o Machine Learning and statistical techniques o Data mining and recommendation systems o Natural Language Processing and Information Retrieval o Experience working with large volumes of data o User behavior modeling Who you are * A team player. You get along well with your colleagues and are always ready to help get things done. You enjoy working on projects with multiple people and share knowledge. * Passionate about learning. You thrive on complex technical challenges and are always eager to learn the latest technologies. * Organized and detailed-oriented. You think ahead of time about how best to implement new features, and your code is clean, well-organized and properly documented. * Innovative. You are always proactively looking for opportunities to problem solve using innovative methods that impact the business What we offer * A collaborative, positive culture. You'll work with people who are as enthusiastic, smart and driven as you are. You'll be managed by the best too. * Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization. About Gartner: Gartner, Inc. (NYSE: IT) is the world's leading information technology research and advisory company. We deliver the technology-related insight necessary for our clients to make the right decisions, every day. We work with every client to research, analyze and interpret the business of IT within the context of their individual role. Founded in 1979, Gartner is headquartered in Stamford, Connecticut, U.S.A - Visit gartner.com to learn more. Diversity, inclusion and engagement at Gartner: The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, caste, creed, religion, sex, sexual orientation, gender identity or expression, marital status, citizenship status, age, national origin, ancestry, disability, or any other characteristic protected by applicable law. Gartner affirmatively seeks to advance the principles of equal employment opportunity and values diversity and inclusion. Gartner is an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified applicant with a disability and unable to or limited in your ability to use or access the Gartner's career webpage as a result of your disability, you may request reasonable accommodations by calling Human Resources at or by sending an email to #LI-Hybrid #LI-GV1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 98,000 USD - 133,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at or by sending an email . Job Requisition ID:106172 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Scope: US, Customer Development Terms & Conditions: Full time, International sponsorship or relocation not supported If you are in the Ice Cream business or consider choosing to work for the The Magnum Ice Cream Company Ice Cream business, you will work for the Global, leading Ice Cream player with €7.9bn Turn Over in 2023. The Ice Cream business is operating in a highly attractive category, as we are part of the 1 trillion snacking and refreshment industry, growing consistently at high pace. We have strong brands equities: 5 of top 10 selling brands including Magnum and Ben & Jerry's. We are investing to unlock the full growth potential of Ice Cream as a standalone entity, once we separate from Unilever, which happened in December of 2025. Ice Cream has distinct characteristics from TMICC's other operating businesses and the growth potential of Ice Cream will be better delivered under a different ownership structure. As an Ice Cream company we are committed to developing and nurturing talent within. You will have ample options for career growth and exploration, allowing you for you to explore roles and opportunities across the new organization. Your career development will be a priority for us, and we are dedicated to supporting your growth journey within the new company. We hope that you will want to build the new chapter of our Ice Cream history together with us. ABOUT ICE CREAM: Life Tastes Better with Ice Cream TMICC Ice Cream is the largest global Ice Cream Company in the world, with over 100 years of experience delivering a diverse range of indulgent, yet responsible, craft food experiences and treats delighting consumers. Committed to innovation, quality, and sustainability we have 35 brands, including 3 one billion Euro brands (Magnum, Wall's, Ben & Jerry's), a strong presence in over 60 countries, generating annual revenue of over $8 billion. All brands are driven to transform moments into memories through indulgent yet responsibly made and marketed products. We have a well-developed strategy to deliver growth and value creation which is clear on where to play and how to win. We turn the ordinary into the extraordinary by designing unique and innovative Ice Cream experiences that make life taste better, creating joyful experiences. In our Ice Cream business, we're crafting the future through innovation and imaginative minds, creating unique products. We spark moments of happiness for people and within the communities where we operate. However, it is not as simple as it may seem. As Ice Cream makers we are serious about happiness. With warm hearts, we create the coolest products. JOB PURPOSE: The Customer Analytics Data Scientist will report to the Associate Director of CD Analytics and Insights and will be responsible for developing advanced analytical models and insights that empower the US Customer Development function to achieve its sales ambitions. In this role, you will have the opportunity to design and implement predictive and prescriptive analytics solutions that drive decision-making across sales, category management, shopper marketing, and channel strategy. This is a hands-on technical role with strong business integration. The ideal candidate not only has deep expertise in statistical modeling and machine learning but also thrives on partnering with commercial and customer development teams to translate complex data into actionable business stories. You will collaborate closely with data engineering to ensure models are seamlessly operationalized within our data ecosystem and brought to life through visualization and stakeholder engagement. KEY RESPONSIBILITIES: Work closely with business stakeholders to translate needs into well designed and executed technology products that are embedded into daily decision-making, with a focus on promotion optimization, syndicated and retailer data, demand forecasting, shopper marketing, digital commerce, and sales reporting Develop predictive and forecasting models (e.g., forecasting demand, pricing, promotions optimization, customer/shopper behavior) that drive commercial decision-making and business performance. Collaborate with data engineering to define consistent business logic and unified data definitions, consistent with how the business operates, that enable self-service analytics and integration across data products. Build advanced analytics capabilities including demand forecasting, promotion performance, assortment optimization, and shopper behavior modeling. Liase with local and global business and technology teams to define, manage, and enhance Magnum's Customer Development analytics capabilities Conduct advanced analytics analyses using data science, machine learning, and AI to uncover insights that generate tangible business value Communicate and deliver engaging data visualizations and data narratives that bring data to life for both technical & non-technical audiences, simplifying complex concepts and enabling decision-making across commercial teams Guide and lead squads or project teams, driving adoption of data science principles and best-in-class analytics approaches to deliver impactful solutions. WHAT YOU NEED TO SUCCEED: Technical aptitude and the ability to lead teams toward business-value focused technology solutions 6+ years of experience with cloud data platforms (Azure, AWS, GCP) and Databricks, with strong proficiency in SQL, PySpark, Python, and DAX for building high-performance data transformations and pipelines. Hands-on experience with Databricks, Azure Data Factory, Delta Lake, Power BI, Alteryx and related cloud data technologies. Proficient in machine learning frameworks and libraries including scikit-learn, TensorFlow, PyTorch, XGBoost Experience with data visualization tools like PowerBI, Tableau. Strong ability to communicate technical findings to non-technical audiences, turning data into actionable business narratives. Intellectual curiosity and strong analytic ability Preparedness to develop a deep understanding of business operations and needs for the Customer Development function Excellent planning, organization, and project estimation skills Strong understanding of the use and management of retailer and syndicated data Ability to work collaboratively with cross functional teams both locally and globally Ability to communicate and present complex topics clearly and compellingly to business stakeholders SKILLS: Strong understanding of data science principles and data visualization approaches Solid understanding of data modelling to support analytics and reporting use cases. Proficiency in coding languages such as Python, PySpark, DAX and SQL Ability to collect business requirements and translate into technical solutions Experience using tools like Databricks, Azure Data Factory, Power BI, and Alteryx Experience leveraging data sources such as Circana, Nielsen, panel data, and retailer data Ability to design intuitive and compelling front end business applications Data Engineering, Computer Science or study in related field. EXPERIENCES & QUALIFICATIONS: Required Experience applying data science, machine learning, and AI to business problems in Consumer Goods organizations Experience designing and implementing end-to-end data analyses and capabilities for a business focused audience Experience creating data visualization dashboards in tools such as PowerBI or Tableau Experience collecting business requirements and translating them into technology projects Experience working in a consumer goods organization Experience with the use and management of retailer and syndicated data (such as Circana, Nielsen) Preferred Experience in a consumer goods Customer Development function Experience with retailer data platforms such as Scintilla, SymphonyAI, 1010data and 84.51 Stratum Familiarity with Digital Commerce and Shopper Marketing data solutions Experience managing analytics teams Pay: The pay range for this position is $99,760 to $149,640. TMICC takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs. Bonus: This position is bonus eligible. Long-Term Incentive (LTI): This position is LTI eligible. Benefits: TMICC employees are eligible to participate in our benefits plan. Should the employee choose to participate, they can choose from a range of benefits to include, but is not limited to, health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits. Any coverages for health insurance and retirement benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents. #TMICC #TMICC ABOUT THE MAGNUM ICE CREAM COMPANY: With 19.000 expert ice cream colleagues and iconic brands like Wall's, Cornetto and Ben & Jerry's, loved in 76 countries, we are the world's largest Ice Cream company leading the industry We have been taking pleasure seriously for more than 100 years, serving happiness with every lick or scoop of ice cream for generations. The Magnum Ice Cream Company (formerly part of Unilever) is all about growth. Growing our business. Growing our customers' businesses. Growing our people's careers. Growth begins with empowerment. So we free our people to be innovative, responsible entrepreneurs, driven and equipped to give our consumers more amazing products and unforgettable moments - and having fun doing it. Here's what defines success in our organization : · We are all about growth · We operate with speed and simplicity · We win together with fun · We boldly innovate to disrupt our industry · We care and challenge · We are experts in the Ice Cream Category ARE YOU EXCITED TO CRAFT THE ICE CREAM FUTURE? Please apply online and do not forget to upload your CV. Your application will be reviewed against the requirements, and we will be in touch shortly after the closing date, with an update on the status of your application. The Magnum Ice Cream Company is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other characteristic protected by local, state, or federal law and will not be discriminated against on the basis of disability. For more information about your Federal rights, please see Know Your Rights: Workplace Discrimination is Illegal and Pay Transparency Non discrimination Provision. Employment is subject to verification of pre-screening tests, which may include drug screening, background check, credit check and DMV check. If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact your recruiter. Please note: This email is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions or application statuses. The Protected Veterans or Individuals with Disabilities AAP narratives are available for inspection by any employee or applicant for employment Monday through Friday during normal business hours at establishment.

:" 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 "}

**A spinout from PsychoGenics Inc, Axelyra** is a well-funded,biotech startupfocused on unmet needs in psychiatric and neurological disorders. We leverage proprietary preclinical platforms and AI-driven analytics spanning both clinical and preclinical behavioral and electrophysiological (EEG) phenotyping to enable a compound re-innovation strategy. We are building AI-enabled platforms that support clinical development, including tools and models that help quantify treatment response, stratify patients, and accelerate learning across trials. Our work is highly multidisciplinary, with day-to-day collaboration across data science/engineering, biologists, translational scientists, and clinicians. PsychoGenics is a preclinical CRO with expertise in central nervous system (CNS) and orphan disorders. PsychoGenics is known for it's cutting-edge translational approach to research, customized solutions, the breadth, and quality of our work, as well as for our ability to identify statistically relevant phenotypic changes that help clients quantify the efficacy of their treatments. With an extensive portfolio of highly predictive disease models and unparalleled experience performing studies for biopharmaceutical companies of all sizes, we enable clients to deliver much needed superior clinical candidates to patients. **Location:** Paramus, NJ (hybrid remote allowed) **Level:** Open (commensurate with experience) **Responsibilities:** + Design, develop, and evaluate ML/DL models for EEG and behavioral datasets. + Perform time-series analytics and feature engineering; build interpretable model outputs for scientific stakeholders. + Create dashboards and visualizations supporting translational insights and clinical trial readouts. + Apply rigorous statistical analysis (study design support, QC, model evaluation, uncertainty). + Work closely with biologists and clinicians to translate scientific questions into measurable signals and actionable endpoints. **Required Qualifications and Skills** : + Bachelor's degree in computer science, Software Engineering, Electrical Engineering, Statistics, Mathematics, or a related field. Master's degree is a plus. + Strong programming and software design skills in Python, with a thorough understanding of software engineering principles, application packaging, and deployment. + Strong experiencewith data analysis libraries or tools (e.g., **NumPy, Pandas, Jupyter** ,notebooks; reproducible workflows). + Experience in developing DL models (e.g., Transformers, CNNs, RNN/LSTM). + Solid background in statistics. + Experience with time-series data. + Experience with computer vision methods (as relevant to behavioral video/pose/features). + Proficiency with Git and GitHub workflows. + Comfort working with biomedical/clinical data and interpreting biological signals (EEG, behavior, trial endpoints). + **Collaborative, driven with experience working in a fast-paced start-up environment.** + Excellent analytical and problem-solving skills, with the ability to deeply understand the "why" and "how" of our work. + Strong communication and teamwork abilities. Salary will be determined by factors including job-related skills, experience, knowledge, education and geographic location. **Total Rewards Plan** Axelyra offers competitive performance-based compensation, comprehensive benefits, and career development opportunities. This role is eligible for annual performance-based raise and discretionary bonus for both individual and PsychoGenics annual performance. Our benefits include: + Medical, dental, vision and life insurance plans + HSA, FSA and dependent FSA + Short- and long-term disability plans + Stock-based incentive plan + 401K with company contribution + Tuition reimbursement + Generous paid time off policy and paid parental leave policy + EAP + Additional voluntary benefits **Axelyra is a veteran/disability/equal opportunity employer.** We take pride in maintaining a diverse work environment. We do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, age, sex (including pregnancy, gender identity or expression and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, status as a protected veteran, or any other legally protected status. We strive to create a workplace that cultivates bold innovation through collaboration and allows our people to unleash their full potential. **Reasonable Accommodation** PsychoGenics provides qualified individuals with reasonable accommodation during the application and hiring process. If you require assistance or need reasonable accommodation due to disability, please contact Human Resources at: ************************ **Nearest Major Market:** New York City Apply now »

Akkodis is seeking a Data Scientist for a Contract with a client in Basking Ridge, NJ. You will be responsible for analyzing large-scale wireless and IEN alarm data to detect patterns, reduce noise, and improve network reliability through KPIs, dashboards, and ML-driven insights. Rate Range: $50/hour to $53/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Data Scientist job responsibilities include: * Analyze large-scale alarm and time-series data from OSS/NMS/EMS systems to identify patterns, recurring fault signatures, and cross-domain trends (RAN, Core, IEN). * Build and deploy ML models for alarm correlation, noise reduction, anomaly detection, root cause analysis, and predictive fault forecasting using Python/R (Pandas, NumPy, Scikit-learn, PySpark). * Design KPIs, dashboards, and real-time monitoring in tools like Tableau/Power BI/Grafana to track network health, MTTR/SLA, and reliability metrics for NOC and engineering teams. * Clean, normalize, and enrich multi-source data (OSS, EMS, NMS, CMDB, performance systems); integrate pipelines on big data platforms (Spark/Hadoop) and streaming tools (Kafka/Flink). * Automate fault insight pipelines and model operations, including versioning, performance tracking, and documentation; collaborate with NOC, Network Engineering, and Reliability teams to operationalize insights. * Communicate findings to technical and non-technical stakeholders, driving proactive maintenance, incident prevention initiatives, and continuous improvement of AIOps/network intelligence capabilities. Required Qualifications: * Bachelor's or master's degree in computer science, Data Science, Telecommunications, or a related field. * 3-5 years of experience in data analytics, machine learning, or network fault management. * Strong proficiency in Python or R with experience in libraries such as Pandas, NumPy, Scikit-learn, and PySpark. * Hands-on experience with wireless networks (2G/3G/4G/5G), OSS/NMS systems, and big data platforms like Spark or Hadoop. 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: $50.00 to $53.00 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.

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.

Who is Drive Medical.. Drive Medical has become a leading manufacturer of medical products with a strong and consistent track record of growth achieved both organically and through acquisitions. We are proud of our high-quality, diverse product portfolio, channel footprint and global operating scale. Our products are sold into the homecare, long-term care, retail, and e-commerce channels in more than 100 countries around the world. “Leading the World with Innovative Healthcare Solutions that Enhance Lives” Summary (Major Purpose of the Role): Position Summary The Sales Data Scientist will use data analytics and statistical techniques to generate insights that support sales performance and revenue growth. This role focuses on building and improving reporting tools, analyzing data, and providing actionable recommendations to help the sales organization make informed decisions. Key Responsibilities Data Analysis & Reporting Analyze sales data to identify trends, patterns, and opportunities. Create and maintain dashboards and reports for Sales and leadership teams. Support root-cause analysis and process improvement initiatives. Sales Insights Provide data-driven recommendations for pricing, discount strategies, and sales funnel optimization. Assist in segmentation analysis to identify key customer groups and markets. Collaboration Work closely with Sales, Marketing, Finance, and Product teams to align analytics with business needs. Present findings in clear, actionable formats to stakeholders. Data Infrastructure Ensure data accuracy and integrity across reporting tools. Help automate reporting processes for efficiency and scalability. Required Qualifications: 2-4 years of experience in a data analytics or sales operations role. Strong Excel skills (pivot tables, formulas, data analysis). Bachelor's degree in Mathematics, Statistics, Economics, Data Science, or related field-or equivalent experience. Preferred Qualifications: Familiarity with Python, R, SQL, and data visualization tools (e.g., Power BI). Experience leveraging AI/ML tools and platforms (e.g., predictive analytics, natural language processing, automated insights). Experience with CRM systems (Salesforce) and marketing automation platforms. Strong analytical and problem-solving skills with attention to detail. Ability to communicate insights clearly to non-technical audiences. Collaborative mindset and willingness to learn new tools and techniques. Why Apply… Competitive Benefits, Paid Time Off, 401(k) Savings Plan This position does not offer sponsorship opportunities. Pursuant to New York law, Drive Medical provides a salary range in job advertisements. The salary range for this role is $95,000.00 to $125,000.00 per year. Actual salaries may vary depending on factors such as the applicant's experience, specialization, education, as well as the company's requirements. The provided salary range does not include bonuses, incentives, differential pay, or other forms of compensation or benefits which may be offered to the applicant, if eligible according to the company's policies. Drive Medical is an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants for employment. Drive Medical strictly prohibits and does not tolerate discrimination against employees, applicants, or any other covered person because of race, color, religion, gender, sexual orientation, gender identity, pregnancy and/or parental status, national origin, age, disability status, protected veteran status, genetic information (including family medical history), or any other characteristic protected by federal, state, or local law. Drive Medical complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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.

Job Title: Data Scientist Palantir ( GenAI MLOps Engineer) Experience: 15+ years NOTE:- Candidate must be ready to join onsite from day 1 at Jersey City office if selected. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Data Engineering, Data Science, or a related field. Strong hands-on experience working with Palantir Foundry and/or Palantir Gotham for data integration, transformation, and analysis. Proven experience in MLOps or similar roles involving machine learning and cloud operations. Strong knowledge of AWS services (e.g., SageMaker, Lambda, EC2, S3, Redshift, Glue, Kinesis). Proficiency in programming languages such as Python, SQL, and bash for data manipulation and automation. Experience with machine learning frameworks and tools like TensorFlow, PyTorch, Scikit-learn, MLflow, and Kubeflow. Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. Solid understanding of CI/CD pipelines and tools like Jenkins, GitLab, or GitHub Actions. Strong problem-solving skills with the ability to troubleshoot and debug complex systems. Excellent communication skills, both written and verbal, with the ability to present technical concepts clearly. Preferred Qualifications: Advanced degree (Master's or Ph.D.) in a relevant field. AWS Certified Solutions Architect or Certified Machine Learning Specialty certification. Familiarity with DevOps practices and tools. Experience with real-time data streaming and event-driven architectures. Knowledge of big data technologies like Hadoop, Spark, and Flink.

Join our dynamic team of innovators and technologists as a Senior Data Scientist, where your mission will be to revolutionize how the Bank services and advises clients, deepen client engagements, and drive process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment-one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele. Job Responsibilities: Collaborate across Bankers, Client Services, Operations, Product and Technology teams to understand existing processes and bottlenecks, recommending transformative processes to achieve measurable productivity and efficiency gains. Design and execute A/B tests and experimental designs to validate hypotheses and quantify business outcomes with statistical confidence. Build interpretable predictive models using techniques such as linear/logistic regression, decision trees, random forests, and gradient boosting methods, focusing on interpretability and statistical validity. Conduct exploratory data analysis and feature engineering to uncover hidden patterns and generate actionable insights from structured and unstructured data sources. Design and implement complex algorithms and data-driven models to extract insights and drive decision-making. Required Qualifications, Capabilities, and Skills: PhD in Computer Science, Data Science, Statistics or a related filed with a strong focus on data analysis, statistical modeling and advanced Ai/ML techniques. Extensive experience in Natural Language Processing including Large Language Models. Proven track record in building and evaluating advanced Machine Learning models Expertise in statistical analysis, including hypothesis testing, regression analysis, time-series forecasting, and Bayesian modeling Apply past experience to drive and influence business decision-making by providing solution options Leverage the innovation and thought leadership of our global team of technologists Expertise in statistical analysis, including hypothesis testing, regression analysis, time-series forecasting, and Bayesian modeling Extensive experience working with large volumes of data across both SQL and NoSQL platforms. Preferred Qualifications, Capabilities, and Skills: Atleast 7 years of relevant work experience. Advanced proficiency in Python and its developmental toolsets, including libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch Strong skills in data visualization and the ability to communicate complex statistical concepts to non-technical stakeholders Collaborate effectively with teams and individuals across the firm to achieve common goals. In-depth knowledge of project lifecycle and software development lifecycle deliverables, including version and revision control practices and procedures. Flexibility to work under tight deadlines, with minimal supervision, exercising independent judgment and prioritizing tasks effectively. Exceptional analytical and problem-solving skills. Excellent written and verbal communication skills. Ability to thrive in ambiguous situations and adapt to changing priorities

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

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.

SonSoft Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. SonSoft Inc is growing at a steady pace specializing in the fields of Software Development, Software Consultancy, and Information Technology Enabled Services. Job Description 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. Occasional domestic travel may be required. 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 Connect with me at ******************************************* ( For Direct Clients Requirements ) ** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time. Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD, H1B & TN candidates, please. Please mention your Visa Status in your email or resume. ** All your information will be kept confidential according to EEO guidelines.

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

ADP Technology Services, Inc. is hiring a Data Scientists in our Roseland, NJ location. Are you empathetic to client needs and inspired by transformation and impacting the lives of millions of people every day? Are you looking to join a dynamic, inclusive team environment with a culture of collaboration and belonging? Well, this may be the role for you! Ready to design what's next? To thrive in this career, you'll need to be enthusiastic, eager to learn, and take on stretch assignments. You strive to learn new technologies and find ways to incorporate what you learn into building your results. You'll be curious, persistent, and at times persuasive. As part of our team, you'll find exciting challenges, get opportunities to grow your career, and develop solid friendships as we design what's next for ADP and the industry. Pace should not scare you. We still find time for a healthy dose of fun. WHAT YOU'LL DO: Build Teams that thrive. As an experienced leader, you want everyone to shine. You are constantly looking for ways to share your knowledge, motivate others, and keep everyone engaged and productive. Learning. You're always learning new technologies and processes with tools and other training courses, conferences ADP offers, and operating with a “learn as you go” approach with a willingness to figure out new ways of doing things. Create Results. You're proactive and hands-on. When you see a potential issue, you never leave things hanging and unfinished. When you and your team deliver a finished product, it's as polished as you could make it. Continuous Learning. You will actively collaborate with other associates to share ideas or show what you've learned. You are eager to learn, keep up with ever-changing technologies, and maintain the ability to create the best tools for our clients. Variety of work. There is no typical day. You could be checking in with a team in India one minute, meeting with leadership to review initiatives for the coming quarter later and tomorrow handling a few ad hoc requests from your peers in other departments. Influence and inspire confidence. You are comfortable presenting to senior leaders, product owners, and peers with a compelling voice that you demonstrate through executive presence, leading change, and creating clear executive-level communications on milestone achievements. Challenges. Inevitable challenges will arise, and we'll rely on you to look for a solution. Responsibilities. Responsible to acquire, clean, and analyze large data sets, formulate analytical problems, extract and analyze data from multiple systems, summarize critical findings/insights, and develop compelling visual representation of analyses with actionable recommendations. Participate in relevant aspects of Data Science Development Life Cycle, including planning, data discovery, constructions, testing, reviews, and demonstrations. Perform exploratory analysis to understand data and leverage the data to create new products and services to meet project requirements. Work with multiple stakeholders to identify, design, develop and implement advanced analytics projects that track the consumer conversion funnel from start to end. Work with a team to provide, interpret, and predict necessary metrics for decision-making. Leverage experience in quantitative analytics, design patterns, and data structures to code with machine learning tools to synthesize millions of data sets into patterns that answer ad-hoc requests and use Tableau for data visualization. TO SUCCEED IN THIS ROLE: Education and Qualifications/Skills and Competencies. Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Data Science, Analytics, or related field of study plus five (5) years of related experience required. The company will also accept a Master's degree and two (2) years of related experience. Work Experience. One (1) year of experience must include: Hadoop; Hive; Gurobi; MySQL; C++; R; Scala; and SQL. YOU'LL LOVE WORKING HERE BECAUSE YOU CAN: Have courageous team collaboration. Courage comes from how associates are willing to have difficult conversations, speak up, be an owner, and challenge one another's ideas to find the best solution. Deliver at an epic scale. We deliver real user outcomes using strong judgment and good instincts. We're obsessed with the art of achieving simplicity with a focus on client happiness and productivity. Be surrounded by curious learners. We align ourselves with other smart people in an environment where we grow and elevate one another to the next level. We encourage our associates to listen, stay agile, and learn from mistakes. Act like an owner & doer. Mission-driven and committed to leading change, you will be encouraged to take on any challenge and solve complex problems. No tasks are beneath or too great for us. We are hands-on and willing to master our craft. Give back to others. Always do the right thing for our clients and our community and humbly give back to the community where we live and work. Support our associates in times of need through ADP's Philanthropic Foundation. Join a company committed to equality and equity. Our goal is to impact lasting change through our actions. A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. We believe our people make all the difference in cultivating an inclusive, down-to-earth culture that welcomes ideas, encourages innovation, and values belonging. ADP has a deep commitment to diversity, equity, and inclusion as a global Best Places to Work, DiversityInc Top 50 Company, Best CEO and company for women, LGBTQ+, multicultural talent, and more. Learn more about ADP's commitment on our YouTube channel: http://adp.careers/DEI_Videos What are you waiting for? Apply today! Find out why people come to ADP and why they stay: https://youtu.be/ODb8lxBrxrY (ADA version: https://youtu.be/IQjUCA8SOoA ) For more information please visit: jobs.adp.com #DNS

As a Data Science Lead in Digital & Platform Services (D&PS), you will lead the charge in developing innovative AI solutions that propel our business forward. Your work will directly impact our ability to provide exceptional service to clients by delivering cutting-edge technology solutions. You will work closely with software engineers, business stakeholders, and AI practitioners to deliver transformative solutions that enable our business to scale and thrive. We are seeking a technical leader who is passionate about leveraging data and artificial intelligence to drive meaningful, real-world change. You will be integral to the newly established Client Relationship Management (CRM) Transformation Program, known as Client360. **Job Responsibilities:-** + Lead the formulation and development of AI solutions to tackle complex challenges in Client360, ensuring alignment with business objectives. + Oversee the design, development, and deployment of robust, scalable, and reusable machine learning models and systems that deliver measurable business impact. + Actively contribute to coding efforts, ensuring high technical standards and best practices are maintained across all projects. + Collaborate with engineering and business teams to seamlessly integrate AI services into strategic systems and processes, enhancing operational efficiency. + Work with business partners to redefine processes and controls for an AI-first business, driving innovation and efficiency. + Establish comprehensive evaluation frameworks to assess model performance and drive continuous improvement in alignment with business goals. + Deepen your understanding of the Client Relationship Management to identify opportunities for AI-driven innovation and deliver practical, impactful solutions. + Inspire other AI practitioners, fostering a culture of excellence, innovation, and continuous learning. **Required Qualifications, Experience, and Skills:-** + Advanced degree qualification in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related highly quantitative field. + Extensive experience in high-performing AI or data science teams. + Deep understanding of fundamental machine learning approaches and practical experience with statistical data analysis and experimental design. + Proven track record of developing and deploying data science and ML capabilities in production at scale. + Strong experience with Python programming and common ML frameworks (e.g., PyTorch , Pandas, NumPy). + Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences. + Demonstrated ability to work effectively on multi-disciplinary teams with diverse backgrounds. **Preferred qualifications, capabilities, and skills:-** + D emonstrated prior experience working in a highly matrixed, complex organization. + Extensive experience in data platform management, CRM systems, or related fields within a financial institution. + Master's or PhD qualification in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related highly quantitative field. + Clear experience in working with technologists and product teams. 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** Jersey City,NJ $142,500.00 - $210,000.00 / year