Data scientist jobs in Stamford, CT - 143 jobs

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

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.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. U.S. citizenship is required for this position due to government contract requirements. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage #LI-Remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Company Details "Our Company provides a state of predictability which allows brokers and agents to act with confidence." Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States. Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion. Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth. The Company is an equal employment opportunity employer. Responsibilities *Please provide a one-page resume when applying. Enterprise Risk Management (ERM) Team Our key risk management aim is to maximize Berkley's return on capital over the long term for an acceptable level of risk. This requires regular interaction with senior management both in corporate and our business units. The ERM team comprises ERM actuaries and catastrophe modelers responsible for identification, quantification and reporting on insurance, investment, credit and operational risks. The ERM team is a corporate function at Berkley's headquarters in Greenwich, CT. The Role The successful candidate will collaborate with other ERM team members on a variety of projects with a focus on exposure management and catastrophe modeling for casualty (re)insurance. The candidate is expected to demonstrate expertise in data and analytics and be capable of presenting data-driven insights to senior executives. Key responsibilities include: Casualty Accumulation and Catastrophe Modeling • Lead the continuous enhancement of the casualty data ETL process • Analyze and visualize casualty accumulations by insureds, lines and industries to generate actionable insight for business leaders • Collaborate with data engineers to resolve complex data challenges and implement scalable solutions • Support the development of casualty catastrophe scenarios by researching historical events and emerging risks • Model complex casualty reinsurance protections Risk Process Automation and Group Reporting • Lead AI-driven initiatives aimed at automating key risk processes and projects • Contribute to Group-level ERM reports, including deliverables to senior executives, rating agencies and regulators Qualifications • Minimum of 5 years of experience in P&C (re)insurance, with a focus on casualty • Proficiency in R/Python and Excel • Strong verbal and written communication skills • Proven ability to manage multiple projects and meet deadlines in a dynamic environment Education Requirement • Minimum of Bachelor's degree required (preferably in STEM) • ACAS/FCAS is a plus Sponsorship Details Sponsorship Offered for this Role

**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

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/

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.

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.

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.

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: *******************************

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 $175,000.00 - $200,00.00 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

Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally. Job Description This position is not eligible for sponsorship. Be a leader for your solution specialization within the Regional IT organization including but not limited to the following: * Support the end-to-end management of your Solution area in collaboration with the SM, covering strategy and planning through to application support. * Partners with business unit personnel at multiple locations to understand business needs and translate those needs into detailed business and functional requirements for project implementation. * Collaborates with developers where needed to develop technical requirements and functional business specifications. * Serve as an authority on functional and technical issues in designated applications and business areas in your area of soluiton specialization * Collaborates with and, as needed, leads cross-functional teams with business unit leadership to deliver project objectives, change requests and meet timelines. * Creates communication plans for project deployment; devises user manuals and training seminars. * Collaborate with the SM to identify risks and road blocks to the successful completion of assigned projects and the overall solution strategy, and work with IT and Functional Management to resolve. Work with IT support team to coordinate the resolution of software issues and handle escalated service issues to maintain smooth ongoing operations of solution applications Experience: * 5+ years of strong technical or operational experience * Experience in participating in a cross functional team in a matrix organization * Experience establishing and maintaining effective working relationships with other business organizations and diverse groups of people * Experience with functional and technical aspects of major enterprise business systems and related technologies Knowledge: * Thorough understanding of planning, analysis, implementation, and testing techniques required to support medium-scale business operations systems * Strong working knowledge / experience in functional business areas, such as finance, accounting, information technology or business operations * Ability to act in a consultative role to understand functional business processes and related information technology needs and to develop relevant solutions and delivery proposals * Ability to effectively manage multiple assignments and priorities * Demonstrated history of applying varied approaches to solve complex business support challenges of significance to the organization * Advanced knowledge of standard business tools such as MS Office Suite (Word, Excel, etc.) and Microsoft Visio * Excellent verbal and written communication skills Education: * Bachelor's degree or higher, from an accredited 4-year college or university Languages: * Fluent in English Systems: * JIRA * ServiceNow Qualifications Additional Information Additional Information for the job What We Offer We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world. * Comprehensive benefits program including medical, dental and vision care coverage, flexible spending account plans, employee assistance program, life insurance and disability coverage * 401k with Company Match * Family Friendly Benefits including childbirth and parental leave, fertility and family building benefits * Paid Time Off (PTO) and Paid Holidays * Flexible work available (not applicable to all roles) Diversity & Inclusion LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion. LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply. Equal employment opportunity (EEO) Louis Dreyfus Company provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Sustainability Sustainable value is at the heart of our purpose as a company. We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Role Overview We're seeking Financial Statement Data Developers/Engineers to support client engagements. You'll work with modern data tooling to transform accounting trial balance data into accurate Income Statements and Balance Sheets. This role blends data engineering, financial data transformation, and client-facing consulting. Key Responsibilities Ingest & transform trial balance data from various sources (CSV, Excel, ERP extract, database). Apply chart of accounts mappings, including entity-specific variations. Utilize purpose-built applications to aggregate outputs into Income Statement & Balance Sheet formats. Build repeatable Alteryx workflows, SQL transformations, and Python scripts for automation. Perform data reconciliation, tie‑outs, variance checks, and data quality controls across entities and periods. Required Technical Skills Strong proficiency in SQL, Python and Alteryx. Hands-on experience in accounting database development, data engineering and analytics Accounting fundamentals: trial balance, chart of accounts, journal entries, Income Statement & Balance Sheet. Experience converting ledger-level data into financial statements and performing reconciliations. Strong communication skills and client-facing experience; ability to work onsite when required. Experience with cloud environments (Azure). Qualifications & Experience Education: Bachelor's degree in Computer Science, Accounting or a related field (or equivalent experience). Experience: 8+ years of hands-on experience with database development and scripting Preferred nice-to-have skills Exposure to M&A/Deal Advisory workflows: multi-entity consolidation, intercompany eliminations, pro forma reporting. Proficiency with Power BI reporting and validation dashboards. ERP familiarity (e.g., SAP, Oracle). Big-4 or top tier Professional Services experience is a plus. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains: What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.

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 Description 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. Position Summary The Senior Sales Data Scientist will leverage advanced analytics, machine learning, and statistical modeling to generate insights that optimize sales performance and revenue growth. This role combines technical expertise and business acumen to translate complex data spread across multiple systems and teams into actionable strategies for the Sales organization. This is a build-focused role responsible for developing analytics, tools, and reporting capabilities that do not currently exist within the organization. The Senior Sales Data Scientist will create, implement, and continuously improve reports and analytics to support profitable sales growth. Key responsibilities include compiling and distributing daily, weekly, and monthly reports to stakeholders across Sales and Executive leadership, as well as analyzing and interpreting data to inform decision-making. The role requires significant cross-functional collaboration with Sales, Product Management, Marketing, Finance, and Supply Chain. Candidates in NY can anticipate occasional on-site days each week at our corporate office in Port Washington (Nassau County). Key Responsibilities Data Analysis & Modeling Develop predictive models to forecast sales trends, customer behavior, and revenue opportunities. Perform segmentation analysis to identify high-value customers and markets. Use analytics as an input into root-causes analysis and problem solving to drive continuous improvement across processes and tools. Sales Optimization Design and implement pricing and discount strategies using data-driven insights. Analyze sales funnel performance and recommend improvements. Partner with Sales, Product Management, Marketing, and Finance teams to align analytics with business objectives. Develop methods to automate reporting and analytics tools to enable more efficient distribution and self-service use across the organization to accelerate decision making and actions Present findings and recommendations to senior leadership in clear, actionable formats. Data Infrastructure Work with teams to ensure data quality, integrity, and accessibility. Automate reporting and dashboard solutions for real-time sales insights. Stay current with emerging technologies and methodologies in data science Develop new capabilities through investigative analytics and building sustainable reporting and decision-making tools. Required Qualifications: 5-7 years of professional experience in a highly analytical sales operations or strategy role. Advanced Excel skills, including pivot tables, complex formulas, and data modeling. Bachelor's or Master's degree in Mathematics, Computer Science, Economics, Statistics, Data Science, or a related field-or equivalent relevant experience. Preferred Qualifications: Proficiency in Python, R, SQL and experience with data visualization tools such as Power BI. Experience leveraging AI/ML tools and platforms (e.g., predictive analytics, natural language processing, automated insights). Experience in CRM systems (Salesforce) and marketing automation platforms. Knowledge of cloud platforms (AWS, Azure, GCP). Strong problem-solving skills with a proven ability to structure complex issues and develop actionable solutions. Excellent communication skills with the ability to translate data into clear insights and executive-ready presentations. Self-starter with a high degree of motivation and resilience; comfortable working independently and proactively. Highly collaborative with strong interpersonal and networking skills across business functions. Flexible and adaptable to shifting priorities with a strong sense of urgency. Passion for quantitative analysis, data integrity, and continuous improvement. Why Apply to Drive Medical… Competitive Benefits, Paid Time Off, 401(k) Savings Plan Pursuant to New York law, Drive Medical provides a salary range in job advertisements. The salary range for this role is $110,000.00 to $157,000.00 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.

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

Job Description 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