Senior data scientist jobs in Norwalk, CT

We are seeking a C++ Market Data Engineer to design and optimize ultra-low-latency feed handlers that power global trading systems. This is a high-impact role where your code directly drives real-time decision making. What You'll Do: Build high-performance feed handlers in modern C++ (14/17/20) for equities, futures, and options Optimize systems for micro/nanosecond latency with lock-free algorithms and cache-friendly design Ensure reliable data delivery with failover, gap recovery, and replay mechanisms Collaborate with researchers and engineers to align data formats for trading and simulation Instrument and test systems for continuous performance improvements What We're Looking For: 3+ years of C++ development experience (low-latency, high-throughput systems) Experience with real-time market data feeds (e.g., Bloomberg B-PIPE, CME MDP, Refinitiv, OPRA, ITCH) Strong knowledge of concurrency, memory models, and compiler optimizations Python scripting skills for testing and automation Familiarity with Docker/Kubernetes and cloud networking (AWS/GCP) is a plus

+ Senior Data Scientist, Specialist Senior - SFL Scientific Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions. SFL Scientific, a Deloitte Business, is a U.S. based, data science consulting firm specializing in building industry-specific, artificial intelligence (AI) technologies. We are hiring a Senior Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems. Recruiting for this role ends on 12/31/2025. Work You'll Do As a Senior Data Scientist at SFL Scientific, a Deloitte Business, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements, in order to drive exploratory analysis and design long-term solutions. Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. Join us to expand your technical career through the lens of consulting and work on novel projects and use cases to expand your data science & AI skills. + Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production + Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives + Research and implement novel machine learning approaches, including advancing state of the art training, solution design, network design, and hardware optimization + Validate AI models and algorithm via code reviews, unit, and integration tests + Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives + Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives The Team Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation. SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses. Qualifications: + Master's or Ph.D. in a relevant STEM field (Data Science, Computer Science, Engineering, Physics, Mathematics, etc.) + 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision) + 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments + 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow + 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads + Live within commuting distance to one of Deloitte's consulting offices + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available Preferred: + 2+ years of experience working in a client-facing, consulting environment + 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions + 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.) + 1+ year of experience with AWS Sagemaker or AWS ML Studio The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $107,600 to $198,400. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: ************************************************************************************************************ #MonitorDeloitte #DeloitteJobs #StrategyConsulting #DeloitteStrategy #Strategy26 #SFL26 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

About the Role You will deliver insights and predictive models that directly impact investment, portfolio, and operational decisions. As the lead scientist in the new data squad, you'll combine analytics and machine learning to generate high-value business outcomes. Key Responsibilities * Deliver analytics dashboards and insights to stakeholders. * Build prototypes of predictive and forecasting models for business use cases. * Partner with product managers and business leaders to define priorities. * Translate complex analytics into clear, actionable business recommendations. * Establish standards for model development, validation, and monitoring. * Mentor junior data scientists and analysts. Requirements * 5-8+ years in data science or advanced analytics roles. * Strong skills in SQL, visualization, and a general-purpose programming language (Python, R, etc.). * Experience developing and deploying predictive models into production. * Excellent communication and storytelling skills for non-technical stakeholders. * Familiarity with MLOps and model lifecycle management is a plus.

MannKind Corporation focuses on the development and commercialization of innovative inhaled therapeutic products and devices to address serious unmet medical needs for those living with endocrine and orphan lung diseases. We are committed to using our formulation capabilities and device engineering prowess to lessen the burden of diseases such as diabetes, nontuberculous mycobacterial (NTM) lung disease, pulmonary fibrosis, and pulmonary hypertension. Our signature technologies - dry-powder formulations and inhalation devices - offer rapid and convenient delivery of medicines to the deep lung where they can exert an effect locally or enter the systemic circulation, depending on the target indication. Job Summary: The Data Reviewer within the Analytical Development team at MannKind plays a critical role in ensuring the accuracy, completeness, and integrity of analytical data generated to support clinical programs. This position is responsible for the independent review of raw data, chromatographic results, and analytical documentation to ensure compliance with internal procedures, industry best practices, and regulatory expectations. At MannKind, data integrity is a core value, and this role is essential in upholding that standard. The Data Reviewer works closely with laboratory scientists, quality assurance, and management to ensure that all data meets the requirements outlined in FDA, EMA, and ICH guidance, including ALCOA+ principles (Attributable, Legible, Contemporaneous, Original, Accurate, Complete, Consistent, Enduring, and Available). Essential duties and key job responsibilities and essential functions: Data Review: Perform detailed review of analytical data packages, chromatographic data (e.g., Empower), calculations, laboratory notebooks and final reports. Compliance Assurance: Ensure data is recorded and reported in compliance with internal SOPs, cGMP, ICH, and FDA 21 CFR Part 11 requirements. Issue Identification: Identify and escalate discrepancies, inconsistencies, or deviations in data or documentation. Collaboration: Work closely with analysts and management to resolve data issues and ensure timely completion of reviews. Instrument Support: Support instrument calibration, maintenance, and troubleshooting in collaboration with lab staff. Lab Operations Assistance: Assist with lab operations, including reagent preparation, equipment verification, and documentation updates. Audit Readiness: Ensure data packages are complete, well-organized, and inspection-ready to support internal and external audits. Process Improvement: Contribute to continuous improvement initiatives related to data review processes and documentation practices. Training Support: Assist in training team members on data integrity principles and review expectations. Other Duties: Perform additional tasks as assigned to support the Analytical Development function. Minimum qualifications to perform the job; specific skills, education, knowledge and job experience necessary to perform essential duties; physical requirements for job if any. Bachelor's degree in Chemistry, Biochemistry, Pharmaceutical Sciences, or a related field. Minimum of 6-8 years of experience in a GMP-regulated analytical laboratory or quality environment. Strong working knowledge of data integrity regulations and guidance (e.g., FDA, EMA, MHRA, WHO). Proficiency in chromatographic software (e.g., Empower) and data analysis tools (e.g., Excel, JMP). Excellent attention to detail, organizational skills, and communication abilities. Ability to work independently and manage multiple priorities in a fast-paced environment. Hands-on experience with analytical instrumentation and lab operations, preferred. Familiarity with inhalation drug delivery systems and aerosol testing is a plus. Experience supporting audit preparation and regulatory inspections is a plus. Equal Employment Opportunity (EEO) MannKind values diversity and is firmly committed to providing equal opportunity and a positive working environment in all aspects of employment. It is the policy of MannKind to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. Additionally, MannKind prohibits discrimination based on race, color, religion, national origin, sexual orientation, sex, age, disability or any other legally prohibited basis. This applies to all employment practices, including recruiting, hiring, pay, performance reviews, training and development, promotions, and other terms and conditions of employment. MannKind makes hiring decisions based solely on qualifications, merit, and business needs at the time. If you require an accommodation to complete the application or interview process, please contact ***************************.

The Human Resource Analytics team at Citizens Bank leads the organization's understanding of workforce insights and organizational health. Our team uncovers holistic data-driven business opportunities across the talent lifecycle to enable transformational change and operational efficiency. We analyze internal and external data to understand diverse employee voices, and experiment to scale solutions that make the work experience better. The ideal candidate sees beyond the numbers to find opportunities to strengthen the employee experience and organizational performance. The candidate is a change agent with a demonstrated track record of marrying complex sets of people data with business imperatives to create actionable insights on performance, retention, and organizational agility. The candidate possesses strong quantitative skills, is capable of managing multiple projects simultaneously, and can communicate effectively with executive and technical audiences. An "outside in" perspective, data science skills, high intellectual curiosity, and a consultative posture are essential skills to possess in this role. The HR Data Science Consultant at Citizens Bank will: Key Responsibilities + Synthesize business goals and strategy with HR, productivity, and market data to build integrated, tangible recommendations on talent and culture topics to drive individual and organizational outcomes; employ consultative and analytical techniques to make recommendations, moving from the "so what" and "now what," to drive impact across Citizens'. + Consult with business clients on workplace insights including diagnoses, research design, hypothesis testing, advances analyses, visualization, and presentation. + Translate complex analyses for executive audiences and develop visualizations to help people understand findings and insights + Design and consult on talent assessment methodologies, both internal and third party + Apply best practices for artificial intelligence and machine learning + Project manage key initiatives that drive efficiency and value; assist with change management efforts to scale HR analytics solutions across the enterprise. + Assist in development, execution, and evaluation of client OKRs, human capital KPIs and other measurement strategies to enable business results. + Partner and train clients and HR stakeholders on impactful use of data, data literacy techniques, and use of self-service to drive business outcomes. + Advise on enterprise-level and business unit level analytics work with partners through the organization; contribute to enterprise data governance methods and priorities. Critical Skills + Expertise in qualitative and quantitative research methodology, data management, data visualization and storytelling. + Creative and strategic thinker - ability to assess needs, collaborate, and deliver data-driven, practical solutions that drive results + Strong decision-making skills; stellar interpersonal, influencing, relationship building, and collaboration skills + Proficiency in change management approaches (e.g., PROSCI, etc.) + Advanced analytical and problem-solving skills - approaches problems with rigorous logic and a curious mind - looks beyond the obvious and searches for deeper answers + Proficiency in building talent assessment methodologies. + Deep knowledge of pre-employment assessment methodologies and practices. + Ability to communicate effectively with technical and non-technical audiences - tells stories with data that resonate with stakeholders and maximize impact; excellent written and verbal communication skills + Ability to manage multiple client groups simultaneously; strong project management background + Proficient in data querying languages (e.g., SQL), database management systems, and employee listening platforms (e.g., Perceptyx, Glint) + Applied statistics or experimentation (A/B testing) and psychometric principles (e.g., regression analysis, factor analysis), as well as research design + Proficient in scripting languages (e.g., R or Python), and other advanced analytical tools (e.g., Sagemaker, Tableau, PowerBI, Quicksight, Visier, Alteryx) + Hands on experience with machine learning techniques and exposure to LLM for text analysis and natural language processing applications + Highly proficient in Excel and PowerPoint + Highly-organized with strong attention to detail and documentation; results orientation Additional Knowledge & Skills + Ability to handle multiple projects while meeting deadlines and documenting progress towards those deadlines + Proficiency in agile and design-thinking methods + Possesses a learning orientation, active exploratory mind, and interest to learn from others + Experience with AWS Cloud suite, Snowflake, Oracle HCM, Service Now Education and Experience + Deep expertise (PhD, Masters, or equivalent expertise) in a field that uses research to understand and influence human behavior (e.g., Industrial/Organizational Psychology, Organizational Behavior, Behavioral Economics, Social/Personality Psychology, etc.) + 8+ years of client-facing People Analytics, Workforce Strategy, Business Intelligence, or Human Capital Consulting experience, working in/with complex organizations, or combination of education and experience + Demonstrated experience leading large-scale HR or analytics programs in a matrixed environment + Experience with Bayesian estimation, machine learning, natural language processing, cloud-based computing, and/or Artificial Intelligence strongly preferred. Hours & Work Schedule + Hours per Week: 40 + Work Schedule: 8:30-5 + Hybrid, 4 days on site from a Citizens corporate office, 1 day remote #LI-Citizens1 Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance. Equal Employment Opportunity Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability. Why Work for Us At Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth Background Check Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information. 01/30/2026

The world around us is changing. Retail is in a state of major transition, and consumers have more options than ever. As a leading provider of global information and advisory services, NPD is at the forefront of helping our clients, the world's biggest brands and retailers understand and profit from these changes. Since 1966, we have been helping businesses track industry trends and understand their customers in order to get the right products in the right places for the right people at the right prices. We serve more than a dozen industries including consumer electronics, entertainment, fashion, food / foodservice, toys, video games, and more. We want to lead manufacturers and retailers on collaborating via the effective use of our information in line reviews and joint business planning. Job Description NPD group is looking for a principal data scientist on both the engineering side and the analytics side of data science. This position resides in the Global Data Quality Management group. He or she will combine the skills to create new prototypes with the creativity and thoroughness to interrogate the most challenging questions about data quality, which is at the center of NPD's value creation for our clients. This is a leadership position and will require superior ability to quickly gather information and requirements from stakeholders, formulate solution, and implement the solution within the data quality groups. This position will interact frequently with senior leadership teams and will direct and manage the work of junior data scientists. Qualified candidates will have a strong academic background in mathematics, statistics, computer science, operational research, economics, and other highly quantitative disciplines, passion about data science and machine learning and experience with big data architecture and methods. Overall Responsibilities : Drive the creation of new data quality management capabilities that will bring significant operational efficiency. Conceptualize, analyze and develop actionable recommendations best practices in data quality processes Work with key stakeholders and understand their needs to develop new or improve existing solutions around data quality. Manage data analysis to develop fact-based recommendations for innovation projects. Work with cross-functional teams to develop ideas and execute business plans. Remain current on new developments in data quality Qualifications 8+ years' experience in modeling and predictive analytics with experience working with recommendation engine Excellent problem solving skills with the ability to design algorithms, which may include data profiling, clustering, anomaly detection, and predictive modeling methodologies Strong skills in statistical analyses with abilities in advanced data management and statistical programming using SAS, R, and other languages Familiarity with Agile methodology Ability to work cross-functionally in a highly matrix driven organization under ambiguous circumstances Broad understanding and experience of recommendation engine Personal qualities desired: creativity, tenacity, curiosity, and passion for deep technical excellence Advanced degree in a quantitative field (Statistics, Mathematics, Economics, etc.), PhD highly preferred. Additional Information *NPD is an EQUAL EMPLOYMENT OPPORTUNITY/AFFIRMATIVE ACTION EMPLOYER.

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) TeamOur 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 RoleThe 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 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

The Human Resource Analytics team at Citizens Bank leads the organization's understanding of workforce insights and organizational health. Our team uncovers holistic data-driven business opportunities across the talent lifecycle to enable transformational change and operational efficiency. We analyze internal and external data to understand diverse employee voices, and experiment to scale solutions that make the work experience better. The ideal candidate sees beyond the numbers to find opportunities to strengthen the employee experience and organizational performance. The candidate is a change agent with a demonstrated track record of marrying complex sets of people data with business imperatives to create actionable insights on performance, retention, and organizational agility. The candidate possesses strong quantitative skills, is capable of managing multiple projects simultaneously, and can communicate effectively with executive and technical audiences. An "outside in" perspective, data science skills, high intellectual curiosity, and a consultative posture are essential skills to possess in this role. The HR Data Science Consultant at Citizens Bank will: Key Responsibilities * Synthesize business goals and strategy with HR, productivity, and market data to build integrated, tangible recommendations on talent and culture topics to drive individual and organizational outcomes; employ consultative and analytical techniques to make recommendations, moving from the "so what" and "now what," to drive impact across Citizens'. * Consult with business clients on workplace insights including diagnoses, research design, hypothesis testing, advances analyses, visualization, and presentation. * Translate complex analyses for executive audiences and develop visualizations to help people understand findings and insights * Design and consult on talent assessment methodologies, both internal and third party

Trexquant actively trades multiple asset classes, including global equities, futures, corporate bonds, options, and foreign exchange. Data is at the core of everything we do and we are looking for individuals who are passionate about working with data and are curious about how it is transformed into robust and profitable predictive models. As a data scientist, you will specialize in one of these asset classes, becoming the go-to expert for all data-related matters within that domain. This is a unique opportunity to lead the data efforts for a specific asset class and make a direct impact on the firm's trading strategies. Responsibilities * Collaborate closely with strategy and machine learning teams to identify predictive signals and help develop models using relevant data variables. * Evaluate and explore new datasets recommended by researchers and partners. * Develop deep familiarity with datasets in your asset class by engaging with data vendors and attending data conferences. * Stay up to date with advancements in data science and machine learning techniques relevant to quantitative investing. Requirements * Bachelor's, Master's, or Ph.D. in Mathematics, Statistics, Computer Science, or a related STEM field. * Experience in data science, with a focus on quantitative analysis and model development. * Strong quantitative and analytical skills, with a deep understanding of statistical modeling and data-driven problem solving. * Proficient in Python, with experience using relevant libraries for data analysis, machine learning, and numerical computing. Benefits * Competitive salary plus bonus based on individual and company performance. * Collaborative, casual, and friendly work environment. * PPO Health, dental and vision insurance premiums fully covered for you and your. dependents. * Pre-tax commuter benefits. * Weekly company meals. Trexquant is an Equal Opportunity Employer

About Us Bexorg is revolutionizing drug discovery by restoring molecular activity in postmortem human brains. Through our BrainEx platform, we directly experiment on functionally preserved human brain tissue, creating enormous high-fidelity molecular datasets that fuel AI-driven breakthroughs in treating CNS diseases. We are looking for a Junior Data Scientist to join our team and dive into this one-of-a-kind data. In this onsite role, you will work at the intersection of computational biology and machine learning, helping analyze high-dimensional brain data and uncover patterns that could lead to the next generation of CNS therapeutics. This is an ideal opportunity for a recent graduate or early-career scientist to grow in a fast-paced, mission-driven environment. The Job Data Analysis & Exploration: Work with large-scale molecular datasets from our BrainEx experiments - including transcriptomic, proteomic, and metabolic data. Clean, transform, and explore these high-dimensional datasets to understand their structure and identify initial insights or anomalies. Collaborative Research Support: Collaborate closely with our life sciences, computational biology and deep learning teams to support ongoing research. You will help biologists interpret data results and assist machine learning researchers in preparing data for modeling, ensuring that domain knowledge and data science intersect effectively. Machine Learning Model Execution: Run and tune machine learning and deep learning models on real-world central nervous system (CNS) data. You'll help set up experiments, execute training routines (for example, using scikit-learn or PyTorch models), and evaluate model performance to extract meaningful patterns that could inform drug discovery. Statistical Insight Generation: Apply statistical analysis and visualization techniques to derive actionable insights from complex data. Whether it's identifying gene expression patterns or correlating molecular changes with experimental conditions, you will contribute to turning data into scientific discoveries. Reporting & Communication: Document your analysis workflows and results in clear reports or dashboards. Present findings to the team, highlighting key insights and recommendations. You will play a key role in translating data into stories that drive decision-making in our R&D efforts. Qualifications and Skills: Strong Python Proficiency: Expert coding skills in Python and deep familiarity with the standard data science stack. You have hands-on experience with NumPy, pandas, and Matplotlib for data manipulation and visualization; scikit-learn for machine learning; and preferably PyTorch (or similar frameworks like TensorFlow) for deep learning tasks. Educational Background: A Bachelor's or Master's degree in Data Science, Computer Science, Computational Biology, Bioinformatics, Statistics, or a related field. Equivalent practical project experience or internships in data science will also be considered. Machine Learning Knowledge: Solid understanding of machine learning fundamentals and algorithms. Experience developing or applying models to real or simulated datasets (through coursework or projects) is expected. Familiarity with high-dimensional data techniques or bioinformatics methods is a plus. Analytical & Problem-Solving Skills: Comfortable with statistics and data analysis techniques for finding signals in noisy data. Able to break down complex problems, experiment with solutions, and clearly interpret the results. Team Player: Excellent communication and collaboration skills. Willingness to learn from senior scientists and ability to contribute effectively in a multidisciplinary team that includes biologists, data engineers, and AI researchers. Motivation and Curiosity: Highly motivated, with an evident passion for data-driven discovery. You are excited by Bexorg's mission and eager to take on challenging tasks - whether it's mastering a new analysis method or digging into scientific literature - to push our research forward. Local to New Haven, CT preferred. No relocation offered for this position. Bexorg is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do their best work. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Bexorg will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.

Kavaliro is seeking a Data Scientist for our client who will play a key role in turning complex data into actionable insights and predictive models that solve real-world problems. This includes defining business challenges, translating them into analytical or machine learning tasks, and working across teams to deliver scalable solutions. The DS conducts exploratory data analysis (EDA) to uncover patterns, trends, and anomalies, then designs, trains, and validates statistical, ML, or AI models. The role also involves close collaboration with subject matter experts, engineers, and customers to ensure models and systems are properly implemented and aligned with mission requirements. Key Responsibilities Research, identify, and integrate data from multiple sources (including public datasets). Analyze and interpret data to produce business insights and recommendations. Map data elements to business drivers, KPIs, and attributes for decision-making. Develop statistical measures, KPIs, and dashboards using internal platforms. Engineer features, select relevant inputs, and prepare data for ML modeling. Create and evaluate predictive models, applying advanced ML/AI techniques. Communicate insights clearly through reports, visualizations, and presentations. Collaborate with engineers to build reliable data pipelines and deploy models into production. Partner with team members to evaluate solution approaches and present tradeoffs. Remain current with evolving algorithms, frameworks, and methods (e.g., generative AI, transformers, Bayesian approaches). Ensure compliance with security, cybersecurity, and company policies in all work. Required Qualifications Bachelor's degree in Mathematics, Operations Research, Business, Economics, or related field (advanced degree a plus). 7+ years of experience designing, building, and implementing mathematical/statistical models. Strong expertise in statistics, ML/AI, Python or R, SQL, and data visualization. Experience with experimentation methods (e.g., A/B testing). Excellent written and verbal communication skills; able to convey technical insights to both technical and non-technical audiences. Strong organizational and problem-solving skills; able to manage multiple projects and meet deadlines under pressure. Self-starter with the ability to work independently and follow through on initiatives. Proficiency with MS Office (Word, Excel, PowerPoint). U.S. citizenship required; active DoD clearance preferred (or ability to obtain one). Preferred Qualifications Hands-on experience with AI/ML strategies, predictive and prescriptive modeling, and ontology design. Familiarity with advanced modeling approaches such as RNNs, Seq2Seq, and LightGBM. Experience with synthetic data generation and simulators. Proficiency with ML toolkits and frameworks (Python, PyTorch, Scikit-learn). Experience building and deploying multi-tiered or enterprise-level AI/ML solutions. Cloud and AI/ML certifications (e.g., AWS Machine Learning Specialty, Azure AI Engineer, Google Cloud ML Engineer). Strong adaptability to shifting project needs and evolving technologies. Proficiency with Microsoft 365 tools, including Outlook, Excel, Word, PowerPoint, and SharePoint. Advanced degree (MS or PhD) highly desirable. Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment 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. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.

Responsibilities The Data Scientist will work within the Enterprise Analytics and Data Science team to become an expert at understanding all NYBCe data domains and participate in delivering high-quality, high-velocity data products. This includes developing, training, and monitoring high-fidelity models and analyses to optimize products and processes as well as test the effectiveness of different courses of action. Candidates must be able to report into one of the following NYBCe locations: New York City, NY; Kansas City, Missouri; St. Paul, Minnesota; Providence , RI and Newark, DE. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Partner with the data engineering and analytics team to define measurement approaches, quantify and evaluate success, develop KPIs, and guide tracking efforts for ongoing measurement and reporting. Tackle complex and ambiguous analysis projects: provide clarity and leverage tools to answer complicated business questions. Use a variety of modeling techniques to increase and optimize donor, customer, and employee experiences, revenue generation, ad targeting, and other business outcomes. Perform detailed data/process analysis and create supporting visualizations and reports. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Ensure data quality and data hygiene across enterprise reporting platforms focusing on consistent, timely, and accurate data. Run regular tests and discrepancy checks to ensure continuity, accuracy, and quality of data. Develop reporting, visualizations, dashboards, and analytics products for all departments across the enterprise. Identify opportunities to improve reporting and analytics processes and identify opportunities to automate tasks. Any related duties as assigned. Qualifications Education: Bachelor's Degree in Information Technology, Computer Science, or a related area. Master's or Ph.D. in Statistics, Mathematics, Computer Science, or another quantitative field. Experience: 4+ years of industry experience in data science, business analytics, statistics, business intelligence, or comparable data analysis role, including data warehousing and business intelligence tools, techniques, and technology. At least 4+ years of hands-on experience with Python and or R for statistical data analysis is required. Experience with Tableau, R/R-Shiny, or Python libraries (Matplotlib, Seaborn, ggplot…) to create impactful reports, visualizations, and interactive dashboards is required. 4+ years of experience manipulating data sets and building statistical models Knowledge: Experience using statistical computer languages (R, Python, SLQ, etc.) to extract, manipulate and draw insights from large data sets. Knowledge in statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis. Experience analyzing data from 3rd party providers: Google Analytics, Facebook, etc. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, proper usage, etc.). Skills: Must be an analytical mind, critical thinker, and problem solver. Detail-oriented with strong organization and time management skills. Attention to detail and organizational skills Cultural competency and the ability to communicate effectively in a culturally sensitive manner with both individuals and groups from diverse backgrounds. Abilities: Strong problem-solving skills with an emphasis on product development. Ability to work independently or as part of a team Ability to interact with customers one to one or in large groups Excellent oral, written and presentation skills are mandatory Ability to build in receiving feedback as part of the development process, seek consistent and constructive feedback. Ability to embrace accountability and ownership. A combination of education, training, and experience will be considered to meet the total required years of experience. For applicants who will perform this position in New York City or Westchester County, the proposed annual salary is $110,000.00p/yr. to $120,000.00p/yr. For applicants who will perform this position outside of New York City or Westchester County, salary will reflect local market rates and be commensurate with the applicant's skills, job-related knowledge, and experience. Position reporting into our New York location: $110,000 - $120,000 Positions reporting into our Rhode Island location: $105,000 - $115,000 Positions reporting into our Minnesota location: $105,000 - $115,000 Position reporting into our Delaware location: $100,000 - $110,000 Positions reporting into our Nebraska location: $100,000 - $110,000 Positions reporting into our Missouri location:$100,000 - $110,000 Unless otherwise specified, all posted opportunities are located in the New York or Greater Tri-State office locations. Overview Founded in 1964, New York Blood Center Enterprises (NYBCe) has provided more than 60 years of lifesaving research, innovation, and impact. NYBCe is one of the largest nonprofit blood centers, spanning 17+ states and serving 75 million people. NYBCe operates Blood Bank of Delmarva, Community Blood Center of Kansas City, Connecticut Blood Center, Memorial Blood Centers, Nebraska Community Blood Bank, New Jersey Blood Services, New York Blood Center, and Rhode Island Blood Center, delivering one million blood products to 400+ U.S. hospitals annually. NYBCe additionally delivers cellular therapies, specialty pharmacy, and medical services to 200+ research, academic, and biopharmaceutical organizations. NYBCe's Lindsley F. Kimball Research Institute is a leader in hematology and transfusion medicine research, dedicated to the study, prevention, treatment and cure of bloodborne and blood-related diseases. NYBC serves as a vital community lifeline dedicated to helping patients and advancing global public health. To learn more, visit nybc.org. Connect with us on Facebook, X, Instagram, and LinkedIn.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Modeling - Manager** **The opportunit** **y** We are looking for a dynamic and experienced Manager of Data Modeling to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills **Your Key Responsibilities** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. + Understand and analyze business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. + Lead the design and development of conceptual, logical, and physical data models for the Enterprise Data Warehouse (EDW), adhering to Kimball dimensional methodology (dimensional modeling approach, a core skill for this role. + Design and implement **star schemas** (Fact and Dimension tables) to support enterprise analytical, Business Intelligence (BI), and reporting requirements with high performance and query efficiency. + Define and model **Slowly Changing Dimensions (SCD)** , with an emphasis on **SCD Type 2** , to accurately capture and preserve the full historical context of dimension attributes (e.g., customer addresses, product categories) over time. + Collaboratively determine the appropriate **grain** (atomic level of detail) for fact tables and identify measurable **facts** (metrics) and their relationships to the surrounding dimension tables. + Design highly denormalized dimension structures to reduce joins and simplify querying for end-users and analytical tools. + Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs. + Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models. + Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality. + Manage and provide guidance to a small team of 1-3 resources + Document and communicate data model designs and standards to ensure understanding and compliance across the organization. + Create detailed **source-to-target mapping (STM) documentation** and data transformation specifications for ETL/ELT developers, including all SCD Type 2 logic and surrogate key generation rules. + Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our data modelling processes. + Guide team on implementing data modelling techniques such as Kimball's dimensional modeling + Developing conceptual, logical, and physical data models to support data analysis and business intelligence. + Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control. + Having cloud knowledge and certification will be an advantage. Preferably Azure DP-203 certification. **To qualify for the role, you must have** + A Bachelor's degree in STEM + 10+ Years of hands-on Experience in data modelling + Strong understanding of SQL and data modelling concepts such as Kimball dimensional modeling + Experience working with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server). + Strong understanding of **data warehousing** principles, ETL/ELT architecture, data quality management, and metadata management. + **Mastery of SCD Type 2** (SCD2) implementation for preserving historical data (e.g., using **surrogate keys** , start/end dates, and current/active flags). Familiarity with other SCD types (Type 1, 3, 4, 6) is also expected + The ability to analyze complex business processes and translate abstract business requirements into precise, efficient technical data models. + Proficiency in data modelling tools such as Erwin / Visio or Power Designer + Experience in designing and implementing database structures + Ability to create and maintain conceptual, logical, and physical data models + Knowledge of industry best practices for data modelling and database design + Ability to collaborate with cross-functional teams to gather and analyze data requirements + Experience in performance tuning and optimization of database queries + Having cloud certification is an added advantage + Strong analytical and problem-solving skills + Excellent communication and documentation skills. + Knowledge in Hospitality Domain is mandatory. **Ideally, you'll also have** + Strong business acumen with the ability to manage complex client relationships + Proven experience in managing and leading teams within a dynamic environment + Excellent communication and interpersonal skills + Cloud knowledge and certification will be an advantage. Preferably Azure DP-203 certification. + Experience in leading and influencing teams, with a focus on mentorship and professional development. + A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. + The ability to foster an inclusive environment that values diverse perspectives and empowers team members. + Spanish speaking + Italian speaking **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

About this role In Gartner's Services Data Science team, we innovate the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way. We are searching for a talented data scientist to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team. What you'll do * Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow. * Using advanced Generative AI techniques deriving actionable insights from unstructured text data, such as call transcripts and emails. * Predicting client interest basis their digital footprint and making relevant recommendations to drive higher client value delivery * Leverage statistical and machine learning techniques to extract actionable insights from client retention data. * Develop customer churn prediction models that proactively identify at-risk clients, * Build tools to process structured and unstructured data * Engineering features and signals to train ML model from diverse data collection What you'll need * BS required/ MS/ preferred; in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus) * 4 years' experience in data science methodologies as applied to live initiatives or software development// Experience working with Gen AI projects * Minimum 4+ years of experience in python coding and statistical analysis * Minimum 2 years working experience in several of the following: o Prompt Engineering and working with LLMs o Machine Learning and statistical techniques o Data mining and recommendation systems o Natural Language Processing and Information Retrieval o Experience working with large volumes of data o User behavior modeling Who you are * A team player. You get along well with your colleagues and are always ready to help get things done. You enjoy working on projects with multiple people and share knowledge. * Passionate about learning. You thrive on complex technical challenges and are always eager to learn the latest technologies. * Organized and detailed-oriented. You think ahead of time about how best to implement new features, and your code is clean, well-organized and properly documented. * Innovative. You are always proactively looking for opportunities to problem solve using innovative methods that impact the business What we offer * A collaborative, positive culture. You'll work with people who are as enthusiastic, smart and driven as you are. You'll be managed by the best too. * Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization. About Gartner: Gartner, Inc. (NYSE: IT) is the world's leading information technology research and advisory company. We deliver the technology-related insight necessary for our clients to make the right decisions, every day. We work with every client to research, analyze and interpret the business of IT within the context of their individual role. Founded in 1979, Gartner is headquartered in Stamford, Connecticut, U.S.A - Visit gartner.com to learn more. Diversity, inclusion and engagement at Gartner: The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, caste, creed, religion, sex, sexual orientation, gender identity or expression, marital status, citizenship status, age, national origin, ancestry, disability, or any other characteristic protected by applicable law. Gartner affirmatively seeks to advance the principles of equal employment opportunity and values diversity and inclusion. Gartner is an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified applicant with a disability and unable to or limited in your ability to use or access the Gartner's career webpage as a result of your disability, you may request reasonable accommodations by calling Human Resources at ************** or by sending an email to Applicant.Assistance@gartner.com #LI-Hybrid #LI-GV1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 96,000 USD - 131,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at ***************** or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:106172 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: ************************************************* For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

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

At least 3-7 years of relevant experience in OFSAA for Banking Industry Strong Functional knowledge on Financial Risk management, MRM, Liquidity risk, Basel regulation Exposure to at least one risk management product in BFS space Ability to effectively liaise with multiple stakeholders both from business and IT. Ability to analyze, define and document requirements related to data, workflow, risk process, interfaces with other systems Ability to test the system thoroughly and ensure complete compliance with expected requirements. Ability to manage change request and perform impact analysis on the existing requirement. Ability to ensure software quality before release into production Strong requirement collection, analysis and documentation skills Exposure to use of requirement management tools Strong knowledge on Data governance, data quality, Data Profiling & Data analysis related to Regulatory Reporting OFSAA Implementation experience for regulatory reporting like Model risk management, Liquidity Risk, Basel etc. OFSAA Data Model overview Knowledge of technical tool stack: Informatica, Exadata, OBIEE etc. Good exposure to Data level testing, Data validation, Quality & SIT Working knowledge of BI applications Desirable Skill Set : ETL/Informatica Qualifications Bachelor or higher Additional Information Job Status: Permanent Share the Profiles to ***************************** Contact: ************ Keep the subject line with Job Title and Location

The biostatistician will support clinical epidemiology and biomedical research for the Campus Collaborative Research Core (CCRC) program and the Biostatistics Core at New York Medical College for both the college and Touro University. The biostatistician will design studies, collect, and analyze data from medical experiments, interpret the results of the analyses, and collaborate in writing articles to disseminate research findings. They use the quantitative tools of mathematics, statistics, and computing in their day-to-day work. Responsibilities Work with SHSP Faculty to plan direction and support for incoming projects. Contribute to planning, data assessment, data analysis, and interpretation of studies supported by Campus Collaborative Research and the Biostatistics Core. Guide study design, sample size calculation, randomization procedures, and data analysis methods, perform statistical analyses, and interpret results for researchers. Generate figures and statistical tables for conference presentations and journal publications. Ensure adherence to statistical standards and best practices in research methodologies. Assist in writing and reviewing statistical sections of research proposals, manuscripts, and grant applications. Assist in the Myocarditis study, generating descriptive and analytical data, performing statistical analysis, and interpreting results for researchers Qualifications Education: M.S. in Statistics, M.P.H. in Epidemiology or another quantitative field. Technical/Computer skills: Demonstrated expertise in statistical methodologies, study design, and data analysis. Proficiency in a statistical software package, such as R, SAS, or STATA. Microsoft Office Suite - Word, Excel, PowerPoint, Outlook Prior experience: Minimum of two years of related professional experience Other Skills: Excellent communication and interpersonal skills, with the ability to effectively convey complex statistical concepts to diverse audiences. Strong organizational skills and the ability to manage multiple projects simultaneously. Commitment to fostering a collaborative and inclusive learning environment. Minimum Salary USD $96,000.00/Yr. Maximum Salary USD $120,000.00/Yr.

Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community- eligible for opportunities through the New Haven Hiring Initiative or a newcomer, interested in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale! Salary Range $123,800.00 - $185,675.00 Overview The University Data Office at Yale University, led by our new Chief Data Officer (CDO), is on an exciting multi-year journey to transform how data is leveraged across the university as a strategic asset. The newly established University Data Office will play a critical role in promoting the use of data across the university in decision-making, safely utilizing advances in AI, and ensuring the security and privacy of the university's data. Yale has a wealth of data from its teaching and research activities, but the effectiveness of utilizing data to make informed decisions is limited today by a fragmented data environment and cross-domain analytics conducted mostly on an ad hoc basis. The mission of the University Data Office is to develop a cohesive data strategy and federated governance model that will enable integrated insights for deans and other key stakeholders at the university. As an early hire in the new University Data Office reporting to the CDO, the Senior Architect, Data Solutions, will have the opportunity to be a part of this transformative initiative to shape the future of data-driven insights at one of the world's most prestigious academic institutions. In this role, the successful candidate will develop and implement, in partnership with ITS, a multi-year roadmap to mature/modernize our enterprise data architecture to support scalable data solutions. Key responsibilities include but are not limited to: * Act as the primary technical liaison between the University Data Office and ITS, fostering collaboration to enhance data architecture and solution development. * In collaboration with ITS teams, lead the design and implementation of scalable, secure, and high-performing data solutions aligned with business goals and best practices. * Drive discovery and solutioning phases by translating business needs into technical strategies. * Evaluate emerging technologies and recommend tools to optimize data operations and analytics. * In partnership with ITS, develop, implement and maintain a multi-year roadmap for migrating the enterprise data warehouse to a modern, cloud-based lakehouse architecture. * Build and advocate for business cases supporting architectural investments and data governance tools. * Oversee data integration efforts, reviewing and improving data pipelines to support solution development. * Ensure architectural compliance with security, privacy, performance, and cost requirements in collaboration with ITS. * Design solution enabling self-service access to structured and unstructured data while upholding data governance standards. * Lead data quality assurance initiatives and partner with system owners to address root causes of data issues. * Create and present architectural documentation to stakeholders at all levels, securing alignment and buy-in. * Support implementation of data governance and lifecycle policies in partnership with ITS. Required Skills and Abilities Required Skill/Ability 1: Proven experience designing, developing, and maintaining enterprise-scale data platforms, including large-scale, multi-year implementations. Strong background in enterprise data architecture and analytics in evolving data environments. Required Skill/Ability 2: Expertise with cloud-based data platforms such as Microsoft Fabric, Databricks, Snowflake, Apache Spark, Azure Data Factory, and Azure Synapse. Experience implementing both data warehouse and lakehouse architectures. Required Skill/Ability 3: Fluency in data platform design and agile development, including CI/CD best practices. Required Skill/Ability 4: Familiarity with tools for data analysis, data science, and reporting (e.g., R, Python, Jupyter notebooks, Power BI, Tableau). Strong understanding of data privacy, security, and governance best practices. Required Skill/Ability 5: Strategic thinker with excellent communication skills and the ability to engage stakeholders at all levels. Hands-on experience with performance tuning and optimization of data systems. Comfortable in a consulting role within cross-functional teams. Skilled at leading through influence and collaborating with internal and external partners. Preferred Skills and Abilities Master's degree in Computer Science, Engineering, Data Science or related field, 10+ years of data architecture experience in a professional environment, in addition to strong data analysis background. Relevant certifications in data/enterprise architecture and cloud platforms. Experience with MS Fabric is a strong plus. Principal Responsibilities 1. Examine and validate broader subsystems standards and assure that inter-system architectures are both efficient and consistent with existing institutional standards and practices. Identify Technical Gaps / and Technical Debt within your area of formal expertise. 2. Establishes new paradigms for their area expertise. 3. Develops, documents, and disseminates standard assemblies of technologies to flexibly and efficiently solve University needs. 4. Responsible for establishing design decisions and assuring that the implementations are socialized and understood by the effected parties. Required Education and Experience Bachelor's Degree and seven years of experience or equivalent education and experience. Job Posting Date 11/03/2025 Job Category Professional Bargaining Unit NON Compensation Grade GS-4 Compensation Grade Profile GS-4l Time Type Full time Duration Type Staff Work Model Hybrid Location 2 Whitney Avenue, New Haven, Connecticut Background Check Requirements All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website. Health Requirements Certain positions have associated health requirements based on specific job responsibilities. These may include vaccinations, tests, or examinations, as required by law, regulation, or university policy. Posting Disclaimer Salary offers are determined by a candidate's qualifications, experience, skills, and education in relation to the position requirements, along with the role's grade profile and current internal and external market conditions. The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the position. Employees will be assigned specific job-related duties through their hiring department. The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual's sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran. Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA). Note Yale University is a tobacco-free campus.

The biostatistician will support clinical epidemiology and biomedical research for the Campus Collaborative Research Core (CCRC) program and the Biostatistics Core at New York Medical College for both the college and Touro University. The biostatistician will design studies, collect, and analyze data from medical experiments, interpret the results of the analyses, and collaborate in writing articles to disseminate research findings. They use the quantitative tools of mathematics, statistics, and computing in their day-to-day work. Responsibilities Work with SHSP Faculty to plan direction and support for incoming projects. Contribute to planning, data assessment, data analysis, and interpretation of studies supported by Campus Collaborative Research and the Biostatistics Core. Guide study design, sample size calculation, randomization procedures, and data analysis methods, perform statistical analyses, and interpret results for researchers. Generate figures and statistical tables for conference presentations and journal publications. Ensure adherence to statistical standards and best practices in research methodologies. Assist in writing and reviewing statistical sections of research proposals, manuscripts, and grant applications. Assist in the Myocarditis study, generating descriptive and analytical data, performing statistical analysis, and interpreting results for researchers Qualifications Education: M.S. in Statistics, M.P.H. in Epidemiology or another quantitative field. Technical/Computer skills: Demonstrated expertise in statistical methodologies, study design, and data analysis. Proficiency in a statistical software package, such as R, SAS, or STATA. Microsoft Office Suite - Word, Excel, PowerPoint, Outlook Prior experience: Minimum of two years of related professional experience Other Skills: Excellent communication and interpersonal skills, with the ability to effectively convey complex statistical concepts to diverse audiences. Strong organizational skills and the ability to manage multiple projects simultaneously. Commitment to fostering a collaborative and inclusive learning environment. Minimum Salary USD $96,000.00/Yr. Maximum Salary USD $120,000.00/Yr.