Data scientist jobs in Huntington, NY - 115 jobs

Data Solutions Intern For the high reaching rising senior seeking a dynamic internship experience, Aon is offering a unique opportunity as a Data Solutions Intern. In this role within Aon's Rewards Solutions practice, you'll collaborate with McLagan, working extensively in financial services compensation surveys and consulting. Dive into empowering global financial firms, asset managers, insurers, banks, and wealth management companies. More information about Aon Rewards Solutions is available at en-us/. Available Locations: Norwalk, CT Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed. What the day will look like Researching and analyzing competitive compensation practices Crafting tailored programs for diverse client needs Hands-on involvement in data analysis and strategic recommendations Engaging in diverse projects across high-growth industries How this opportunity is different 10-week paid program across various U.S. offices Engage in challenging client projects Access to weekly global roundtables with leaders Personalized one-on-one internship mentoring Continuous formal and informal feedback Social outings and community service activities Skills and experience that will lead to success Minimum cumulative GPA of 3.0 Great teammate with independent work capability Involvement in extracurricular activities Proficiency in Microsoft Office Suite Desire to learn and embody Aon's values: integrity, client commitment, and community dedication Critical thinking, problem-solving, and analytical skills Qualifications Rising seniors graduating between December 2026 - June 2027 with a minimum cumulative GPA of 3.0. *Please note: immigration sponsorship not available for this role. What sets our Summer Internship Program apart from the rest? Explore Aon's culture and business areas, developing practical skills vital for your future success and postgraduate opportunities. Engage in weekly spotlights, community outreach events and networking opportunities with peers, fostering an understanding of exceeding client expectations and delivering distinct products and services. Development Planning Participate in a comprehensive development plan that includes deeply understanding Aon's business areas, ethical standards, professional environment, networking opportunities, learning internal systems, and honing interpersonal and team-building skills through collaboration events and colleague networking opportunities. Future Opportunities The Aon Summer Internship Program offers meaningful exposure to Aon, preparing interns for short-term and long-term career opportunities. Outstanding interns may receive offers to join Aon's Launch Program, an early careers development opportunity, upon graduation. How we support our colleagues In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognize that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working! The salary range for this position (intended for U.S. applicants) is $25.00 - $28.00 hourly. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location. Aon offers a benefits package for temporary and seasonal employees who will work 20 or more hours per week including: medical, dental, and vision insurance at the employee's expense, critical illness insurance, 10 Company holidays per calendar year (paid, if eligible), paid sick leave as provided under state and local law, and a 401(k) savings plan with employer contributions. Eligibility for benefits are governed by the applicable plan documents and policies. Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued. Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace. Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. People with criminal histories are encouraged to apply. We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. #AonInternUS #LI-SC3 2571951

Your work will change lives. Including your own. The Impact You'll Make As a member of Recursion's AI-driven drug discovery initiatives, you will be at the forefront of reimagining how biological knowledge is generated, stored, accessed, and reasoned upon by LLMs. You will play a key role in developing the biological reasoning infrastructure, connecting large-scale data and codebases with dynamic, agent-driven AI systems.You will be responsible for defining the architecture that grounds our agents in biological truth. This involves integrating biomedical resources to enable AI systems to reason effectively and selecting the most appropriate data retrieval strategies to support those insights. This is a highly collaborative role: you will partner with machine learning engineers, biologists, chemists, and platform teams to build the connective tissue that allows our AI agents to reason like a scientist. The ideal candidate possesses deep expertise in both core bioinformatics/cheminformatics libraries and modern GenAI frameworks (including RAG and MCP), a strong architectural vision, and the ability to translate high-potential prototypes into scalable production workflows. In this role, you will: Architect and maintain robust infrastructure to keep critical internal and external biological resources (e.g., ChEMBL, Ensembl, Reactome, proprietary assays) up-to-date and accessible to reasoning agents. Design sophisticated context retrieval strategies, choosing the most effective approach for each biological use case, whether working with structured, entity-focused data, unstructured RAG, or graph-based representations. Integrate established bioinformatics/cheminformatics libraries into a GenAI ecosystem, creating interfaces (such as via MCP) that allow agents to autonomously query and manipulate biological data. Pilot methods for tool use by LLMs, enabling the system to perform complex tasks like pathway analysis on the fly rather than relying solely on memorized weights. Develop scalable, production-grade systems that serve as the backbone for Recursion's automated scientific reasoning capabilities. Collaborate cross-functionally with Recursion's core biology, chemistry, data science and engineering teams to ensure our biological data and the reasoning engines are accurately reflecting the complexity of disease biology and drug discovery. Present technical trade-offs (e.g., graph vs. vector) to leadership and stakeholders in a clear, compelling way that aligns technical reality with product vision. The Team You'll Join You'll join a bold, agile team of scientists and engineers dedicated to building comprehensive biological maps by integrating Recursion's in-house datasets, patient data, and external knowledge layers to enable sophisticated agent-based reasoning. Within this cross-functional team, you will design and maintain the biological context and data structures that allow agents to reason accurately and efficiently. You'll collaborate closely with wet-lab biologists and core platform engineers to develop systems that are not only technically robust but also scientifically rigorous. The ideal candidate is curious about emerging AI technologies, passionate about making biological data both machine-readable and machine-understandable, and brings a strong foundation in systems biology, biomedical data analysis, and agentic AI systems. The Experience You'll Need PhD in a relevant field (Bioinformatics, Cheminformatics, Computational Biology, Computer Science, Systems Biology) with 5+ years of industry experience, or MS in a relevant field with 7+ years of experience, focusing on biological data representation and retrieval. Proficiency in utilizing major public biological databases (NCBI, Ensembl, STRING, GO) and using standard bioinformatics/cheminformatics toolkits (e.g., RDKit, samtools, Biopython). Strong skills in designing and maintaining automated data pipelines that support continuous ingestion, transformation, and refresh of biological data without manual intervention. Ability to work with knowledge graph data models and query languages (e.g., RDF, SPARQL, OWL) and translate graph-structured data into relational or other non-graph representations, with a strong judgment in evaluating trade-offs between different approaches. Competence in building and operating GenAI stacks, including RAG systems, vector databases, and optimization of context windows for large-scale LLM deployments. Hands-on expertise with agentic AI frameworks (e.g., MCP, Google ADK, LangChain, AutoGPT) and familiarity with leading LLMs (e.g., Google Gemini/Gemma) in agentic workflows, including benchmarking and evaluating agent performance on bioinformatics/cheminformatics tasks such as structure prediction, target identification, and pathway mapping. Strong Python skills and adherence to software engineering best practices, including CI/CD, Git-based version control, and modular design. Excellent cross-functional communication skills, ability to clearly explain complex architectural decisions to both scientific domain experts and technical stakeholders. Nice to Have Strong background in machine learning and deep learning, including hands-on experience with foundation models and modern neural architectures. Fine-tuning LLMs on scientific corpora for domain-specific reasoning. Integrating LLMs with experimental or proprietary assay data in live scientific workflows. Background in drug discovery and target identification. Meaningful contributions to open-source libraries, research codebases, or community-driven tools. Working Location & Compensation: This is an office-based, hybrid role in either our Salt Lake City, UT or New York City, NY offices. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 - $238,400. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-DNI The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

About the Role We believe that the best decisions are backed by data. We are seeking a curious and analytical Data Scientist to champion our data -driven culture. In this role, you will act as a bridge between technical data and business strategy. You will mine massive datasets, build predictive models, and-most importantly-tell the story behind the numbers to help our leadership team make smarter choices. You are perfect for this role if you are as comfortable with SQL queries as you are with slide decks. ### What You Will Do Exploratory Analysis: Dive deep into raw data to discover trends, patterns, and anomalies that others miss. Predictive Modeling: Build and test statistical models (Regression, Time -series, Clustering) to forecast business outcomes and customer behavior. Data Visualization: Create clear, impactful dashboards using Tableau, PowerBI, or Python libraries (Matplotlib/Seaborn) to visualize success metrics. Experimentation: Design and analyze A/B tests to optimize product features and marketing campaigns. Data Cleaning: Work with Data Engineers to clean and structure messy data for analysis. Strategy: Present findings to stakeholders, translating complex math into clear, actionable business recommendations. Requirements Experience: 2+ years of experience in Data Science or Advanced Analytics. The Toolkit: Expert proficiency in Python or R for statistical analysis. Data Querying: Advanced SQL skills are non -negotiable (Joins, Window Functions, CTEs). Math Mindset: Strong grasp of statistics (Hypothesis testing, distributions, probability). Visualization: Ability to communicate data visually using Tableau, PowerBI, or Looker. Communication: Excellent verbal and written skills; you can explain a p -value to a non -technical manager. ### Preferred Tech Stack (Keywords) Languages: Python (Pandas, NumPy), R, SQL Viz Tools: Tableau, PowerBI, Looker, Plotly Machine Learning: Scikit -learn, XGBoost (applied to business problems) Big Data: Spark, Hadoop, Snowflake Benefits Salary Range: $50,000 - $180,000 USD / year (Commensurate with location and experience) Remote Friendly: Work from where you are most productive. Learning Budget: Stipend for data courses (Coursera, DataCamp) and books.

Title: Data Scientist with SAS Enterprise Miner 3- 5 years experience Location: Jericho, NY - source local first; ok to source national as long as the candidate is willing to relocate at their own expense Duration: 9+ months Visa Type: H1, US Citizen, GC Interview: 1 or 2 rounds of phone followed by onsite. May accept video web conference for out of state candidates Travel: no Rate: open - market rates Description: Analytical Science team is looking for strong Data Scientists who will be primarily responsible for retraining various predictive models using new data source and techniques with the goal to outperformance the existing models. Responsibilities: * Retrain existing predictive models using new data source and possibly new advanced techniques * Work comfortably with multi-terabyte and billion+ rows of data * Perform rigorous model evaluation, design hypothesis tests, oversee test execution and result evaluation Required skills/experience: * Advanced degree in Machine Learning, Applied Math, Computer Science, Economics, Statistics or a related quantitative field * At least 5 years recent experience (within past 3 years) building predictive models using SAS EG and SAS EM * Proficiency in SAS Enterprise Miner/ Enterprise Guide/ Base SAS is critical * Proficiency in Python and R in addition to SAS is a plus * Solid understanding of advanced statistical concepts, especially related to modelling is a must * Experience working with SQL Server, Google Cloud Platform/Google Big Query and Hadoop ecosystem Preference will be given to candidates with: * Practical experience in Neural Network, Random Forest, SVM and any other boosting techniques * Background in collaborative filtering, data mining, machine learning, optimization or statistical theory * Please share the following candidate details with each resume submission: * How many years SAS experience in past 3 years * How many years SAS Enterprise Miner experience in past 3 years * How many machine learning models built within past 3 years

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.

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.

**This role is based on-site at our Ridgefield, CT location with hybrid flexibility of 2-3 days per week on-site.** Leads the strategic direction for third-party data enablement at Boehringer Ingelheim, ensuring that data acquisition and management are closely aligned with our established 1-5-year data Horizon data acquisition plans. Champions the implementation of advanced, automated data strategies that align with privacy and compliance standards, positioning the organization at the forefront of data-driven decision making. Provides expert guidance to analytical and reporting teams, shaping best practices in data architecture to unlock new insights and maximize the value of information assets. Leads cross-functional teams to establish and uphold rigorous data quality standards, ensuring that specialty pharmacy, product, and digital identity data are reliable and actionable. Orchestrates vendor relationships and influences SLAs and requirements within contract negotiations to optimize data investments, reduce costs, and secure access to emerging data sources that drive competitive differentiation. By embedding best practices and strategic foresight into every aspect of data governance, this role ensures that third party data is leveraged as a critical asset for US Human Pharma's success. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. **Duties & Responsibilities** + Lead Boehringer's third party data enablement strategy and is responsible for ensuring the timely availability of all procured data through rigorous prioritization. + Lead the implementation of our linked data strategy processing ensuring the process is automated, validated, and aligns with all necessary data remediation required based on privacy assessments. + Provide data consulting expertise to US Human Pharma analytical, incentive compensation and reporting functions. + Recommend best practices for data structure, incorporating integrated data strategy to maximize analytical and reporting strategic value. + Lead Information Management team members and Shared Services in establishing data quality standards and performing information management for third party data, specialty pharmacy data, products, and digital customer identity data. + Manage data vendors regarding data quality, timing, delivery, performance and / or contract issues. + Assesses new data sources within the pharmaceutical industry, evaluates their impact on business operations, and recommends their implementation across US Human Pharma. + Ensures best practices of third-party data usage. Accountable negotiating third party data vendor pricing in support of sales analytics, managed markets, market research and other various analytical departments. **Requirements** **Requirements** + Bachelors degree from an accredited institution and a minimum of nine plus (9+) years of experience in pharmaceutical industry is required + Master's degree from an accredit institution and a minimum of seven plus (7+) years of experience in pharmaceutical industry + Masters degree preferred. + Must have seven plus (7+) years of related pharmaceutical industry experience with five (5) years of secondary data experience in sales operations, sales/marketing analytics, market research, specialty pharmacy, managed markets or business analysis. + Working knowledge of third party sub-national data sets used to support sales and marketing. Experience with specialty pharmacy and distributor data. + Excellent communication skills both written and verbal. + Demonstrated experience in leading teams and influencing upward. + Ability to manage multiple large vendors and hold them accountable for data accuracy and meeting deliverable. + Prior data governance experience strongly preferred. + Prior budgeting experience helpful. **Desired Skills, Experience and Abilities** + Demonstrated expertise in pharmaceutical datasets and the effective integration of this information for enhanced decision-making. + Demonstrated experience working with Specialty Pharmacy and Hub data + Experience working with multiple data aggregators + Skilled in data tokenization processes (Datavant, et. al.) and applying it to develop unified data products from various sources. + Proficient in organizing and prioritizing tasks efficiently in fast-paced environments + Excellent project management abilities with a proven capacity to oversee several projects simultaneously \#LI-DG1 **Compensation Data:** This position offers a base salary typically between $170,000 and $269,000. The position may be eligible for a role specific variable or performance-based bonus and or other compensation elements. All qualified applicants will receive consideration for employment without regard to a person's actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.

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

**Introduction** **Your role and responsibilities** Senior Data Scientist, IBM Corporation, Armonk, NY, and various unanticipated client sites throughout the US (Up to 100% telecommuting permitted): * Implement and validate predictive and prescriptive models, create and maintain statistical models with a focus on big data, and incorporate a variety of statistical and machine learning techniques. * Write programs to cleanse and integrate data efficiently and in a reusable manner, using leading-edge open-source tools. * Work in an Agile, collaborative environment, partnering with other data scientists, engineers, and consultants to bring analytical rigor and statistical methods to the challenges of predicting behaviors. * Communicate with internal and external clients to understand and define business needs and appropriate modeling techniques to provide analytical solutions. * Evaluate modeling results and communicate them to technical and non-technical audiences. * Utilize: Machine Learning and MLOps, Python, SQL, Big Data Management, Advanced Hive SQL Skills and Query Optimization, DevOps, Data Modeling and ETL Development, and Advanced Data Analysis. Required: Master's degree or equivalent in Data Science, Computer Science, Analytics 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, Data Scientist or related. One (1) year of experience must include utilizing Machine Learning and MLOps, Python, SQL, Big Data Management, Advanced Hive SQL Skills and Query Optimization, DevOps, Data Modeling and ETL Development, and Advanced Data Analysis. $169541 to $215000 per year. Full time. SN152. **Required technical and professional expertise** Master's degree or equivalent in Data Science, Computer Science, Analytics 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, Data Scientist or related. One (1) year of experience must include utilizing Machine Learning and MLOps, Python, SQL, Big Data Management, Advanced Hive SQL Skills and Query Optimization, DevOps, Data Modeling and ETL Development, and Advanced Data Analysis. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

EXCLUSIVE! Highly visible Regional Chief Actuary opportunity with Multinational Insurance leader, offering the chance to lead as Appointed Actuary for U. S. legal entities, sign SAOs, and serve as a trusted advisor to the Global Chief Actuary. Influential role leads actuarial strategy, reserve governance, valuation, and financial reporting while ensuring regulatory compliance across North America. With extensive interaction among worldwide leaders and business partners, the Chief Actuary fosters collaboration across diverse regions by leveraging both cultural and technical expertise. Seeking a relationship-oriented ACAS/FCAS with deep Reserving and Casualty market expertise to guide and inspire a high-performing actuarial team with confidence and integrity. Base salary up to $315K plus a robust benefits package.

Howden Re is the global reinsurance broker and risk, capital & strategic advisor focused on relentless innovation & superior analytics for top client service. About Role This is a Mid-level position and will reside within the Actuarial team. We expect this person to work successfully across Analytics, Actuarial, and Broking functions providing the full suite of actuarial work in support of reinsurance placements for clients. You will be joining an experienced analytics team that produces quality solutions in a collegial, casual, and results-driven environment. Responsibilities | Support: Traditional LR analysis, experience/exposure rating, stochastic modelling, etc Present analyses in clear terms appropriate to the audience Provide value-added service to clients as needed Market research and development & assist senior actuaries with industry studies A high priority will be the development & programming of various tools to aid in streamlining workflow and helping Howden Re fully utilize data Interpersonal | Communication | Teamwork: Willingness to be part of Howden Re's “team first” culture Keen ability to take initiative Sets effective priorities and handles multiple projects under tight timeframes Responds constructively to different viewpoints, changing priorities, new conditions Works well in teams with colleagues of various backgrounds Shares knowledge, opinions and insights in constructive manner Offers to help others without prompting, & assists others in learning Qualifications: ACAS or FCAS required Bachelor's degree from reputable university; advanced degree a huge plus 7-15 years of experience in the (re)insurance industry Able to apply advanced mathematical / actuarial concepts and techniques Skilled in using Microsoft Excel Software experience with R, VBA, Python Proven track record of hard work, client success, and innovation Legally authorized to work in the United States The expected base salary range for this role is $225,000-300,000. The base salary range is based on level of relevant experience and location and does not include other types of compensation such as discretionary bonus or benefits.

Introduction to the job ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world's leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon. We are currently recruiting for an internship located at our office in Wilton, Connecticut. This position requires access to controlled technology, as defined in the Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology. Your Assignment: Investigate cleaning methodologies and their impact on different material surfaces, i.e. efficacy, positive and negative changes at the part surface Understand particle & molecular contaminants transport mechanism in product and test equipment Characterize type and amount of contamination by collecting contamination samples and performing relevant tests Investigate material issues / challenges using appropriate material diagnostic tools like SEM, AFM, WLI, spectroscopy, etc. Clearly communicate progress and status of ongoing technical activities to senior management Write cleanliness and contamination control procedures and train technicians to efficiently implement the procedure in manufacturing. Give presentation to the department at the end of the internship as well as poster to intern community Your Profile: Minimum: Pursuing a Bachelors (upcoming Junior or senior)/ master's degree in chemistry / related surface science / engineering fields Preferred: Pursuing Master's or PhD degree in chemistry / related surface science / engineering fields Strong background of course work and experimental and research background in chemistry, preferred focus on contamination and defect detection Good understanding and experience in verification methods (white light interferometer, ICP-MS, SEM, AFM, ToF-SIMS, Raman spectroscopy, FTIR, etc.) Knowledge of MATLAB and/or Python for data analysis and automation programming Ability to work in the clean room environment implementing knowledge in material and material interaction (especially glass, ceramics, thin film materials, gasses, etc.), with deep understanding of the fundamentals of friction and wear processes Excellent experimental skills Be able to interface with multidisciplinary groups and work effectively in a team and be willing to take on responsibility Skills · Can observe and respond to people and situations and interact with others encountered in the course of work. · Can learn and apply new information or skills. · Must be able to read and interpret data, information, and documents. · Strong customer focus and commitment to customer satisfaction through prioritization, quality, efficiency and professionalism. · Ability to complete assignments with attention to detail and high degree of accuracy. · Proven ability to perform effectively in a demanding environment with changing workloads. · Result driven-demonstrate ownership and accountability. · Identifies bottlenecks and drives improvements. · Work independently or as part of a team and follow through on assignments with minimal supervision. · Demonstrate open, clear, concise and professional communication. · Ability to establish and maintain cooperative working relationships with co-workers and customer. · Work according to a strict set of procedures within the provided timelines. · Possess strong ownership characteristics - demonstrated commitment to achieving results on time. · Have strong written and oral communicative skills - ability to communicate effectively within your team. · Demonstrated “team player” with a quality orientation and interpersonal skills · Capability to interface with multidisciplinary groups, and be willing to take on responsibility, follow through and keep multiple simultaneous tasks on schedule. · Be able to quickly acquire technical knowledge from documentation and on-the-job training and be capable of thoroughly investigating technical issues (analytically and hands-on in a lab). Other information This position is located on-site in Wilton, CT. It requires onsite presence to attend in-person work-related events, training courses and meetings and to further ensure teamwork, collaboration, and innovation. Role within Office Responsibilities Routinely required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch. Occasionally required to move around the campus. Occasionally lift and/or move up to 20 pounds. May require travel (specify domestic and/or international) dependent on business needs. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Role within the Factory Responsibilities Must be willing to work in a clean room environment, wearing coveralls, hoods, booties, safety glasses and gloves for entire duration of shift. While performing the duties of this job, the employee routinely is required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch. The employee may occasionally lift and/or move up to 20 pounds. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Additional Responsibilities: There is potential for exposure to strong magnetic fields, high voltage and currents. This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology. Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process. Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.

Join the fintech powerhouse redefining how the world invests in private markets. iCapital is a global leader in alternative investments, trusted by financial advisors, wealth managers, asset managers, and industry innovators worldwide. With $999.73 billion in assets serviced globally-including $272.1 billion in alternative platform assets-we empower over 3,000 wealth management firms and 118,000 financial professionals to deliver cutting-edge alternative investment solutions. This summer, become part of a dynamic team where your ideas matter. Make a meaningful impact, accelerate your professional growth, and help push the boundaries of what's possible at the intersection of technology and finance. Key features of our Summer 2026 Internship: Become a key member of the iCapital team, driving initiatives, contributing to projects, and potentially jumpstart your career with us after graduation. Immerse yourself in an inclusive company culture where we create a sense of belonging for everyone. Gain exclusive access to the AltsEdge Certificate Program, our award-winning alternative investments education curriculum for wealth managers. Attend recurring iLearn seminars and platform demos where you will learn the latest about our products. Participate in an intern team project, culminating in an end-of-summer presentation to a panel of senior executives. Join senior executive speaker seminars that provide career development, guidance, and access to the leaders at iCapital. About the role: The Data Solutions department provides a reporting service that leverages top-tier third-party reporting tools to assist UHNW clients in identifying opportunities and risks within their portfolios. Through collaborations with leading technology platforms, we curate reports that offer insightful, consolidated, real-time views of all assets and liabilities, detailing what they are, who holds them, how ownership is divided, how they're invested, and how they're performing. These reports are strategically designed to uncover opportunities and highlight financial risks. Learn and leverage financial reporting and data aggregation tools: Conduct account level reconciliation. Provide accurate and timely statements and data entry. Work with internal teams to resolve data issues. Generate Ad Hoc reports as needed. Work with the team to prioritize individual and communal work to ensure all projects are completed on time and to detailed specifications. Valued qualities and key skills: Highly inquisitive, collaborative, and a creative problem solver Possess foundational knowledge of and/or genuine interest in the financial markets Able to thrive in a fast-paced environment Able to adapt to new responsibilities and manage competing priorities Technologically proficient in Microsoft Office (Excel, PowerPoint) Strong verbal and written communication skills What we offer: Outings with iCapital team members and fellow interns to build connections and grow your network. Corporate culture and volunteer activities in support of the communities where we live and work. Rooftop Happy Hours showcasing our impressive views of NYC. Eligibility: A rising junior or senior in a U.S. college/university bachelor's degree program Must be available to work the duration of the program from June 8th through August 7th to be eligible Committed to working five days a week in the Stamford office for the entire duration of the internship Authorized to work in the United States* *We are unable to offer any type of employment-based immigration sponsorship for this program Pay Rate: $31.00/hour + relocation stipend and transportation stipend iCapital in the Press: We are innovating at the intersection of technology and investment opportunity, but don't take our word for it. Here's what others are saying about us: Two consecutive years on the CNBC World's Top Fintech Companies list Two consecutive years listed in Top 100 Fastest Growing Financial Services Companies Four-time winner of the Money Management Institute/Barron's Solutions Provider of the Year For additional information on iCapital, please visit **************************************** Twitter: @icapitalnetwork | LinkedIn: ***************************************************** | Awards Disclaimer: ****************************************/recognition/

OPEN JOB: Data Engineer w AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake **HYBRID - This candidate will work on site 2-3X per week in Ridgefield CT location SALARY: $140,000 to $185,000 2 Openings NOTE: CANDIDATE MUST BE US CITIZEN OR GREEN CARD HOLDER We are seeking a highly skilled and experienced Data Engineer to design, build, and maintain our scalable and robust data infrastructure on a cloud platform. In this pivotal role, you will be instrumental in enhancing our data infrastructure, optimizing data flow, and ensuring data availability. You will be responsible for both the hands-on implementation of data pipelines and the strategic design of our overall data architecture. Seeking a candidate with hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake, Proficiency in Python and SQL and DevOps/CI/CD experience Duties & Responsibilities Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics. Collaborate with data architects, modelers and IT team members to help define and evolve the overall cloud-based data architecture strategy, including data warehousing, data lakes, streaming analytics, and data governance frameworks Collaborate with data scientists, analysts, and other business stakeholders to understand data requirements and deliver solutions. Optimize and manage data storage solutions (e.g., S3, Snowflake, Redshift) ensuring data quality, integrity, security, and accessibility. Implement data quality and validation processes to ensure data accuracy and reliability. Develop and maintain documentation for data processes, architecture, and workflows. Monitor and troubleshoot data pipeline performance and resolve issues promptly. Consulting and Analysis: Meet regularly with defined clients and stakeholders to understand and analyze their processes and needs. Determine requirements to present possible solutions or improvements. Technology Evaluation: Stay updated with the latest industry trends and technologies to continuously improve data engineering practices. Requirements Cloud Expertise: Expert-level proficiency in at least one major cloud platform (AWS, Azure, or GCP) with extensive experience in their respective data services (e.g., AWS S3, Glue, Lambda, Redshift, Kinesis; Azure Data Lake, Data Factory, Synapse, Event Hubs; GCP BigQuery, Dataflow, Pub/Sub, Cloud Storage); experience with AWS data cloud platform preferred SQL Mastery: Advanced SQL writing and optimization skills. Data Warehousing: Deep understanding of data warehousing concepts, Kimball methodology, and various data modeling techniques (dimensional, star/snowflake schemas). Big Data Technologies: Experience with big data processing frameworks (e.g., Spark, Hadoop, Flink) is a plus. Database Systems: Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra). DevOps/CI/CD: Familiarity with DevOps principles and CI/CD pipelines for data solutions. Hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake Formation Proficiency in Python and SQL Desired Skills, Experience and Abilities 4+ years of progressive experience in data engineering, with a significant portion dedicated to cloud-based data platforms. ETL/ELT Tools: Hands-on experience with ETL/ELT tools and orchestrators (e.g., Apache Airflow, Azure Data Factory, AWS Glue, dbt). Data Governance: Understanding of data governance, data quality, and metadata management principles. AWS Experience: Ability to evaluate AWS cloud applications, make architecture recommendations; AWS solutions architect certification (Associate or Professional) is a plus Familiarity with Snowflake Knowledge of dbt (data build tool) Strong problem-solving skills, especially in data pipeline troubleshooting and optimization If you are interested in pursuing this opportunity, please respond back and include the following: Full CURRENT Resume Required compensation Contact information Availability Upon receipt, one of our managers will contact you to discuss in full STEPHEN FLEISCHNER Recruiting Manager INTERMEDIA GROUP, INC. EMAIL: *******************************

Job Description JOB TITLE: ETL/Data Platform Engineer TYPE: Full time, regular COMPENSATION: $130,000 - $180,000/yr Clarapath is a medical robotics company based in Westchester County, NY. Our mission is to transform and modernize laboratory workflows with the goal of improving patient care, decreasing costs, and enhancing the quality and consistency of laboratory processes. SectionStar™ by Clarapath is a ground-breaking electro-mechanical system designed to elevate and automate the workflow in histology laboratories and provide pathologists with the tissue samples they need to make the most accurate diagnoses. Through the use of innovative technology, data, and precision analytics, Clarapath is paving the way for a new era of laboratory medicine. Role Summary: The ETL/Data Platform Engineer will play a key role in designing, building, and maintaining Clarapath's data pipelines and platform infrastructure supporting SectionStar™, our advanced electro-mechanical device. This role requires a strong foundation in data engineering, including ETL/ELT development, data modeling, and scalable data platform design. Working closely with cross-functional teams-including software, firmware, systems, and mechanical engineering-this individual will enable reliable ingestion, transformation, and storage of device and operational data. The engineer will help power analytics, system monitoring, diagnostics, and long-term insights that support product performance, quality, and continuous improvement. We are seeking a proactive, detail-oriented engineer who thrives in a fast-paced, rapidly growing environment and is excited to apply data engineering best practices to complex, data-driven challenges in a regulated medical technology setting. Responsibilities: Design, develop, and maintain robust ETL/ELT pipelines for device, telemetry, and operational data Build and optimize data models to support analytics, reporting, and system insights Develop and maintain scalable data platform infrastructure (cloud and/or on-prem) Ensure data quality, reliability, observability, and performance across pipelines Support real-time or near real-time data ingestion where applicable Collaborate with firmware and software teams to integrate device-generated data Enable dashboards, analytics, and internal tools for engineering, quality, and operations teams Implement best practices for data security, access control, and compliance Troubleshoot pipeline failures and improve system resilience Document data workflows, schemas, and platform architecture Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) 3+ years of experience in data engineering, ETL development, or data platform roles Strong proficiency in SQL and at least one programming language (Python preferred) Experience building and maintaining ETL/ELT pipelines Familiarity with data modeling concepts and schema design Experience with cloud platforms (AWS, GCP, or Azure) or hybrid environments Understanding of data reliability, monitoring, and pipeline orchestration Strong problem-solving skills and attention to detail Experience with streaming data or message-based systems (ex: Kafka, MQTT), a plus Experience working with IoT, device, or telemetry data, a plus Familiarity with data warehouses and analytics platforms, a plus Experience in regulated environments (medical device, healthcare, life sciences), a plus Exposure to DevOps practices, CI/CD, or infrastructure-as-code, a plus Company Offers: Competitive salary, commensurate with experience and education Comprehensive benefits package available: (healthcare, vision, dental and life insurances; 401k; PTO and holidays) A collaborative and diverse work environment where our teams thrive on solving complex challenges Ability to file IP with the company Connections with world class researchers and their laboratories Collaboration with strategic leaders in healthcare and pharmaceutical world A mission driven organization where every team member will be responsible for changing the standards of delivering healthcare Clarapath is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. In addition to federal law requirements, Clarapath complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a C++ Market Data Engineer to design and build ultra-low-latency feed handlers for premier vendor feeds and major exchange multicast feeds. This is a high-impact role that sits at the heart of Trexquant's trading platform; the quality, speed, and reliability of your code directly influence every strategy we run. Responsibilities Design & implement high-performance feed handlers in modern C++ for equities, futures, and options across global venues (e.g., NYSE, CME, Refinitiv RTS, Bloomberg B-PIPE). Optimize for micro- and nanosecond latency using lock-free data structures, cache-friendly memory layouts, and kernel-bypass networking where appropriate. Build reusable libraries for message decoding, normalization, and publication to internal buses shared by research, simulation, and live trading systems. Collaborate with cross-functional teams to tune TCP/UDP multicast stacks, kernel parameters, and NIC settings for deterministic performance. Provide robust failover, gap-recovery, and replay mechanisms to guarantee data integrity under packet loss or venue outages. Instrument code paths with precision timestamping and performance metrics; drive continuous latency regression testing and capacity planning. Partner closely with quantitative researchers to understand downstream data requirements and to fine-tune delivery formats for both simulation and live trading. Produce clear architecture documents, operational run-books, and post-mortems; participate in a 24×7 follow-the-sun support rotation for mission-critical market-data services. Requirements BS/MS/PhD in Computer Science, Electrical Engineering, or related field. 3+ years of professional C++ (14,17,20) development experience focused on low-latency, high-throughput systems. Proven track record building or maintaining real-time market-data feeds (e.g., Refinitiv RTS/TREP, Bloomberg B-PIPE, OPRA, CME MDP, ITCH). Strong grasp of concurrency, lock-free algorithms, memory-model semantics, and compiler optimizations. Familiarity with serialization formats (FAST, SBE, Protocol Buffers) and time-series databases or in-memory caches. Comfort with scripting in Python for prototyping, testing, and ops automation. Excellent problem-solving skills, ownership mindset, and ability to thrive in a fast-paced trading environment. Familiarity with containerization (Docker/K8s) and public-cloud networking (AWS, GCP). Benefits Competitive salary, plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets. PPO Health, dental and vision insurance premiums fully covered for you and your dependents. Pre-Tax Commuter Benefits Applications are now open for our NYC office, opening in September 2026. The base salary range is $175,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. Trexquant is an Equal Opportunity Employer

WHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW Data powers everything we do at CR-and it's the foundation for our AI and machine learning efforts that are transforming how we serve consumers. The Data Engineer ( AI/ML & Data Science) will play a critical role in building the data infrastructure that powers advanced AI applications, machine learning models, and analytics systems across CR. Reporting to the Associate Director, AI/M & Data Science, in this role, you will design and maintain robust data pipelines and services that support experimentation, model training, and AI application deployment. If you're passionate about solving complex data challenges, working with cutting-edge AI technologies, and enabling impactful, data-driven products that support CR's mission, this is the role for you. This is a hybrid position. This position is not eligible for sponsorship or relocation assistance. How You'll Make An Impact As a mission based organization, CR and our Software team are pursuing an AI strategy that will drive value for our customers, give our employees superpowers, and address AI harms in the digital marketplace. We're looking for an AI/ML engineer to help us execute on our multi-year roadmap around generative AI. As a Data Engineer ( AI/M & Data Science) you will: Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data to support AI/ML model and application development, evaluation, and monitoring. Build and optimize data processing workflows in Databricks, AWS SageMaker, or similar cloud platforms. Collaborate with AI/ML engineers to deliver clean, reliable datasets for model training and inference. Implement data quality, observability, and lineage tracking within the ML lifecycle. Develop Data APIs/microservices to power AI applications and reporting/analytics dashboards. Support the deployment of AI/ML applications by building and maintaining feature stores and data pipelines optimized for production workloads. Ensure adherence to CR's data governance, security, and compliance standards across all AI and data workflows. Work with Product, Engineering and other stakeholders to define project requirements and deliverables. Integrate data from multiple internal and external systems, including APIs, third-party datasets, and cloud storage. ABOUT YOU You'll Be Highly Rated If: You have the experience. You have 3+ years of experience designing and developing data pipelines, data models/schemas, APIs, or services for analytics or ML workloads. You have the education. You've earned a Bachelor's degree in Computer Science, Engineering, or a related field. You have programming skills. You are skilled in Python, SQL, and have experience with PySpark on large-scale datasets. You have experience with data orchestration tools such as Airflow, dbt and Prefect, plus CI/CD pipelines for data delivery. You have experience with Data and AI/ML platforms such as Databricks, AWS SageMaker or similar. You have experience working with Kubernetes on cloud platforms like - AWS, GCP, or Azure. You'll Be One of Our Top Picks If: You are passionate about automation and continuous improvement. You have excellent documentation and technical communication skills. You are an analytical thinker with troubleshooting abilities. You are self-driven and proactive in solving infrastructure bottlenecks. FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$120K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate's particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Salary ranges NY/California: $120K-$140K annually DMV/Massachusetts: $115K-$135K annually Colchester, CT and additional approved CR locations: $100K-$120K annually Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

Our Client A fast moving and venture backed advertising technology startup based in San Francisco. They have raised twelve million dollars in funding and are transforming how business to business marketers reach their ideal customers. Their identity resolution technology blends business and consumer signals to convert static audience lists into high match and cross channel segments without the use of cookies. By transforming first party and third party data into precision targetable audiences across platforms such as Meta, Google and YouTube, they enable marketing teams to reach higher match rates, reduce wasted advertising spend and accelerate pipeline growth. With a strong understanding of how business buyers behave in channels that have traditionally been focused on business to consumer activity, they are redefining how business brands scale demand generation and account based efforts. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use. Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems. Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte. Conduct root cause analysis and provide long lasting solutions. Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. Manage version control, caching and evaluation loops. Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making. Guide architectural decisions across the data lake and the entire pipeline stack. Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally. Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases. Mentor engineers, review code and raise the overall technical standard across teams. Promote data driven best practices throughout the organization. Qualifications Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics. Excellent written and verbal communication; proactive and collaborative mindset. Comfortable in hybrid or distributed environments with strong ownership and accountability. A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes. Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly. Core Experience 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design. Expert SQL (query optimization on large datasets) and Python skills. Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect). Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability. Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure). Bonus: Strong Node.js skills for faster onboarding and system integration. Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.

Job DescriptionWhy Epicured? Epicured is on a mission to combat and prevent chronic disease, translating scientific research into high-quality food products and healthcare services nationwide. Our evidence-based approach brings together the best of the clinical, culinary, and technology worlds to help people eat better, feel better, and live better one meal at a time. By joining Epicured's Technology team, you'll help power the data infrastructure that supports Medicaid programs, clinical services, life sciences initiatives, and direct-to-consumer operations - enabling better decisions, better outcomes, and scalable growth. Role Overview Epicured is seeking a Data Engineer I to support data ingestion, reporting, and analytics across multiple business lines. Reporting to the SVP of Software Engineering, this role will focus on building and maintaining reliable reporting pipelines, supporting business requests, and managing data from a growing ecosystem of healthcare, operational, and e-commerce systems. This position is ideal for a self-starter with strong SQL skills who is comfortable working with evolving requirements, healthcare-adjacent data, and modern data platforms such as Microsoft Fabric and Power BI. Key Responsibilities Build, maintain, and support reports across all Epicured business lines using Power BI, exports, and Microsoft Fabric. Ingest and integrate new data sources, including SQL Server, operational systems, and external data exchanges. Support reporting and analytics requests across Clinical & Life Sciences, Section 1115 Medicaid Waiver programs, Health Information Exchanges (e.g., Healthix), and Self-Pay e-commerce operations. Handle HIPAA-sensitive data, ensuring proper governance, access control, and compliance standards are maintained. Manage Shopify and other e-commerce data requests for Epicured's Self-Pay division. Keep reporting environments organized, documented, and operational while prioritizing incoming requests. Operate and help scale Epicured's Microsoft Fabric environment, contributing to platform strategy and best practices. Partner with stakeholders to clarify ambiguous requirements and translate business questions into data solutions. Qualifications 3+ years of experience in data engineering, analytics, or business intelligence roles. Strong SQL skills with experience working in relational databases. Experience with Azure, Microsoft Fabric, Power BI, or similar modern data platforms. Strong proficiency in Excel / Google Sheets. Ability to work independently and manage multiple priorities in a fast-growing environment. Experience working with healthcare or HIPAA-adjacent data, including exposure to health information exchanges. Familiarity with ETL / ELT pipelines and data modeling best practices. Experience integrating operational, financial, logistics, and clinical datasets. Preferred Qualifications Experience with C#. Python experience is a plus. Healthcare or life sciences background. Experience supporting analytics for Medicaid, payer, or regulated environments. Compensation & Benefits Salary Range: $115,000-$130,000 annually, commensurate with experience Benefits include: 401(k) Health, Dental, and Vision insurance Unlimited Paid Time Off (PTO) Opportunity to grow with Epicured's expanding data and technology organization Equal Employment Opportunity Epicured is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of age, race, creed, color, national origin, religion, gender, sexual orientation, gender identity or expression, disability, veteran status, or any other protected status under federal, state, or local law.