Senior data scientist jobs in Fairfield, CT - 107 jobs

Our client is seeking a Senior Data Analyst to join their team! This position is located in Stamford, Connecticut. Create, run, and automate SQL queries to analyze customer interaction data across chat, IVR, and call channels Develop dashboards and reports in tools such as Power BI, Tableau, and MicroStrategy to track performance trends and anomalies Monitor initiative performance against baseline metrics, including 30-, 60-, and 90-day success measurements Identify drop-offs, escalations, and friction points in customer journeys and recommend data-driven improvements Perform data validation to ensure accuracy, consistency, and reliability of reporting Analyze chat interactions and chatbot performance to support call deflection and improved customer self-service Optimize chatbot and conversational IVR flows using data insights Track and report on overall and initiative-level success rates for conversational experiences Integrate structured and unstructured data sources to support self-service analytics Desired Skills/Experience: 3+ years of experience in data science, analytics, business intelligence, or a related field Strong proficiency in SQL and Python for Data Analysis Experience with Power BI, Tableau, or similar BI tools Ability to analyze trends, identify anomalies, and uncover root causes Strong problem-solving skills and ability to work independently Experience collaborating with BI teams and working with relational databases Excellent communication skills with the ability to present insights clearly to non-technical and executive audiences Experience with Python and machine learning frameworks Familiarity with chatbot technology, conversational AI, and customer journey analytics Experience with API integrations and GraphQL Exposure to cloud-based data environments such as: AWS, GCP, Azure Project management experience, including tracking initiatives and milestones Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position is between $44.00 and $56.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Sr. Integration Data Analyst Number of Positions: 2 Length: Contract till end of 2026 (possible extensions) Must Haves: 7+ years within data analytics Strong experience using SQL for analysis & data extraction Expert- level experience using Tableau to create executive level dashboards Ability to create reports & present at the leadership & executive level Ability to tell the "data story": understand, interpret, and break down the data / root cause/ trends Good communication & personality Plusses: Prior experience with merger/ acquisition data reporting is preferred Telecommunications experience is preferred Day-to-Day: Insight Global is hiring for a Sr. Integration Data Analyst to sit onsite in Stamford, CT for a large, telecommunication company. This Sr. Integration Data Analyst will working on integration data reporting between two telecom companies that are going through a merger/acquisition. This analyst will be analyzing key performance metrics from both companies involved and able to provide recommendations on adjustments needed to integration data. This analyst will be creating complex Tableau dashboards with user interface that will be displayed at the executive level. This person needs to have strong/ advanced skill within Tableau, SQL, and data requirement development (identifying, defining, documenting, validation data needed to achieve business goals). On a day- to-day basis, this analyst will be spending 50% of their time within the merger/acquisition data analysis and the other 50% creating executive level dashboards supporting the integration reporting of various elements of the data.

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.

**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.

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.

RISE Data Scientist Reports to: Monitoring, Evaluation, and Learning Manager Salary: Competitive and commensurate with experience Please note: Due to the upcoming holidays, application review for this position will begin the first week of January. Applicants can expect outreach by the end of the week of January 5. Overview: The RISE Network's mission is to ensure all high school students graduate with a plan and the skills and confidence to achieve college and career success. Founded in 2016, RISE partners with public high schools to lead networks where communities work together to use data to learn and improve. Through its core and most comprehensive network, RISE partners with nine high schools and eight districts, serving over 13,000 students in historically marginalized communities. RISE high schools work together to ensure all students experience success as they transition to, through, and beyond high school by using data to pinpoint needs, form hypotheses, and pursue ideas to advance student achievement. Partner schools have improved Grade 9 promotion rates by nearly 20 percentage points, while also decreasing subgroup gaps and increasing schoolwide graduation and college access rates. In 2021, the RISE Network was honored to receive the Carnegie Foundation's annual Spotlight on Quality in Continuous Improvement recognition. Increasingly, RISE is pursuing opportunities to scale its impact through research publications, consulting partnerships, professional development experiences, and other avenues to drive excellent student outcomes. Position Summary and Essential Job Functions: The RISE Data Scientist will play a critical role in leveraging data to support continuous improvement, program evaluation, and research, enhancing the organization's evidence-based learning and decision-making. RISE is seeking a talented and motivated individual to design and conduct rigorous quantitative analyses to assess the outcomes and impacts of programs. The ideal candidate is an experienced analyst who is passionate about using data to drive social change, with strong skills in statistical modeling, data visualization, and research design. This individual will also lead efforts to monitor and analyze organization-wide data related to mission progress and key performance indicators (KPIs), and communicate these insights in ways that inspire improvement and action. This is an exciting opportunity for an individual who thrives in an entrepreneurial environment and is passionate about closing opportunity gaps and supporting the potential of all students, regardless of life circumstances. The role will report to the Monitoring, Evaluation, and Learning (MEL) Manager and sit on the MEL team. Responsibilities include, but are not limited to: 1. Research and Evaluation (30%) Collaborate with MEL and network teams to design and implement rigorous process, outcome, and impact evaluations. Lead in the development of data collection tools and survey instruments. Manage survey data collection, reporting, and learning processes. Develop RISE learning and issue briefs supported by quantitative analysis. Design and implement causal inference approaches where applicable, including quasi-experimental designs. Provide technical input on statistical analysis plans, monitoring frameworks, and indicator selection for network programs. Translate complex findings into actionable insights and policy-relevant recommendations for non-technical audiences. Report data for RISE leadership and staff, generating new insights to inform program design. Create written reports, presentations, publications, and communications pieces. 2. Quantitative Analysis and Statistical Modeling (30%) Clean, transform, and analyze large and complex datasets from internal surveys, the RISE data warehouse, and external data sources such as the National Student Clearinghouse (NSC). Conduct exploratory research that informs organizational learning. Lead complex statistical analyses using advanced methods (regression modeling, propensity score matching, difference in differences analysis, time-series analysis, etc). Contribute to data cleaning and analysis for key performance indicator reporting. Develop processes that support automation of cleaning and analysis for efficiency. Develop and maintain analytical code and workflows to ensure reproducibility. 3. Data Visualization and Tool-building (30%) Work closely with non-technical stakeholders to understand the question(s) they are asking and the use cases they have for specific data visualizations or tools Develop well-documented overviews and specifications for new tools. Create clear, compelling data visualizations and dashboards. Collaborate with Data Engineering to appropriately and sustainably source data for new tools. Manage complex projects to build novel and specific tools for internal or external stakeholders. Maintain custom tools for the duration of their usefulness, including by responding to feedback and requests from project stakeholders. 4. Data Governance and Quality Assurance (10%) Support data quality assurance protocols and standards across the MEL team. Ensure compliance with data protection, security, and ethical standards. Maintain organized, well-documented code and databases. Collaborate with the Data Engineering team to maintain RISE MEL data infrastructure. Qualifications Master's degree (or PhD) in statistics, economics, quantitative social sciences, public policy, data science, or related field. Minimum of 3 years of professional experience conducting statistical analysis and managing large datasets. Advanced proficiency in R, Python, or Stata for data analysis and modeling. Experience designing and implementing quantitative research and evaluation studies. Strong understanding of inferential statistics, experimental and quasi-experimental methods, and sampling design. Strong knowledge of survey data collection tools such as Key Surveys, Google Forms, etc. Excellent data visualization and communication skills Experience with data visualization tools; strong preference for Tableau. Ability to translate complex data into insights for diverse audiences, including non-technical stakeholders. Ability to cultivate relationships and earn credibility with a diverse range of stakeholders. Strong organizational and project management skills. Strong sense of accountability and responsibility for results. Ability to work in an independent and self-motivated manner. Demonstrated proficiency with Google Workspace. Commitment to equity, ethics, and learning in a nonprofit or mission-driven context. Positive attitude and willingness to work in a collaborative environment. Strong belief that all students can learn and achieve at high levels. Preferred Experience working on a monitoring, evaluation, and learning team. Familiarity with school data systems and prior experience working in a school, district, or similar K-12 educational context preferred. Experience working with survey data (e.g., DHS, LSMS), administrative datasets, or real-time digital data sources. Working knowledge of data engineering or database management (SQL, cloud-based platforms). Salary Range $85k - $105k Most new hires' salaries fall within the first half of the range, allowing team members to grow in their roles. For those who already have significant and aligned experiences at the same level as the role, placement may be at the higher end of the range. The Connecticut RISE Network is an equal opportunity employer and welcomes candidates from diverse backgrounds. RISE Interview & Communication Policy The RISE interview process includes: A video or phone screening with the hiring manager Interviews with the hiring panel A performance task Reference checks Applicants will never receive an offer unless they have completed the full interview process. All official communications with applicants are sent only through ADP or CT RISE email addresses (@ctrise.org). There has been a job offer scam circulating from various email addresses using the domain @careers-ctrise.org-this is not a valid RISE email address. If you receive an email from anyone claiming to represent RISE with a job offer outside of our official channels, or requesting written screening information, and you have not completed the full interview process, please do not respond and report it to ******************.

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.

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

**Introduction** **Your role and responsibilities** Senior Data Scientist, IBM Corporation, Armonk, NY, and various unanticipated client sites throughout the US (Up to 100% telecommuting permitted): * Implement and validate predictive and prescriptive models, create and maintain statistical models with a focus on big data, and incorporate a variety of statistical and machine learning techniques. * Write programs to cleanse and integrate data efficiently and in a reusable manner, using leading-edge open-source tools. * Work in an Agile, collaborative environment, partnering with other data scientists, engineers, and consultants to bring analytical rigor and statistical methods to the challenges of predicting behaviors. * Communicate with internal and external clients to understand and define business needs and appropriate modeling techniques to provide analytical solutions. * Evaluate modeling results and communicate them to technical and non-technical audiences. * Utilize: Machine Learning and MLOps, Python, SQL, Big Data Management, Advanced Hive SQL Skills and Query Optimization, DevOps, Data Modeling and ETL Development, and Advanced Data Analysis. Required: Master's degree or equivalent in Data Science, Computer Science, Analytics or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Data Engineer, Data Scientist or related. One (1) year of experience must include utilizing Machine Learning and MLOps, Python, SQL, Big Data Management, Advanced Hive SQL Skills and Query Optimization, DevOps, Data Modeling and ETL Development, and Advanced Data Analysis. $169541 to $215000 per year. Full time. SN152. **Required technical and professional expertise** Master's degree or equivalent in Data Science, Computer Science, Analytics or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Data Engineer, Data Scientist or related. One (1) year of experience must include utilizing Machine Learning and MLOps, Python, SQL, Big Data Management, Advanced Hive SQL Skills and Query Optimization, DevOps, Data Modeling and ETL Development, and Advanced Data Analysis. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Contact: Neisha Camacho/Terra Parsons - ************************* No 3rd party candidates The Biostatistician II is responsible for having a working knowledge of all related processes with the ability to independently lead a study, support analysis, and provide high-quality documents to support sponsors' research programs. The ideal candidate is a Biostatistician with strong applied SAS skills (including TFLs, inferential analyses, and randomization) who can collaborate cross-functionally with the programming team, while also independently contributing to statistical deliverables and quality review. Experience working on Phase 1 clinical trials is highly desirable, particularly with first-in-human and dose-escalation studies, including PK/PD data and early safety endpoints. Key Responsibilities Follow department and company standard operating procedures (SOPs), forms, templates, and policies. On occasion, may act as senior Biostatistician for simple to complex studies and be the central point of contact for the assigned Biostatistics team, extended internal project team, and the client. Provide input for Biostatistics portion of project timelines. Review protocols for simple to complex studies. Generate randomization schedules using SAS or randomization-specific software. Develop and QC statistical analyses for simple to complex studies. Develop or assist in developing the Statistical Analysis Plans (SAPs) and related table, figure, and listing (TFL) shells. Develop tables of summary statistics and graphics for clinical trials. Assist in answering deficiency letters from regulatory agencies, as required. Utilize SAS to validate statistician programs and results. Perform QC review of analyses and documents prepared by others. Oversee nonclinical projects, work with line manager to direct activities of other Biostatisticians. Coordinate with internal teams to deliver quality documents on time. Represent Biostatistics in client and inter-departmental meetings. Conduct all work in compliance with SOPs, GCP, and regulatory guidelines. Maintain familiarity with client/internal expectations and ensure aligned analyses and documentation. Stay current on global regulatory requirements (FDA, EMA, ICH, GCP). May participate in or lead quality improvement initiatives. Other duties as assigned. Education: Master's Degree in Statistics or a related field required. Core Competencies Excellent verbal and written communication Ability to communicate proactively and clearly with cross-functional teams to ensure alignment on study timelines, deliverables and issues. Professional attitude and strong interpersonal skills Collaborative, client-focused mindset Flexible with work assignments and learning Strong organizational and prioritization skills High attention to detail Understanding of clinical research life cycle and regulations Proficient in Microsoft Word, Excel, PowerPoint Statistical & Technical Skills Own statistical deliverables from design through analysis (e.g., SAPs, TFLs) Moderate SAS programming proficiency, including the ability to perform inferential statistical analyses Review programming output for accuracy and alignment with SAP Protocol review Review of aCRF / eCRF Creating and reviewing SAPs Creating and writing TFL specs and shells Understanding of CDISC standards (SDTM, ADaM) SDTM specifications and domain review ADaM specification writing and domain review ADRG (Analysis Data Reviewer's Guide) creation and review Pinnacle 21 review and input

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.

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

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

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

Pyramid is a leading Information Technology Consulting services company headquartered in metropolitan Atlanta, GA with prime emphasis on the following service offerings: • Staff Augmentation • Lifecycle IT solutions o Application Development & Support o Outsourced Testing • Mobile Development and Test Automation The company was incorporated in the State of Georgia in 1996 and has grown to over 2500 Information Technology consultants serving clients across the United States and around the globe. In addition to Atlanta, Pyramid has offices worldwide including Charlotte, NC; Chicago, IL; Dallas, TX; Richmond, VA; San Francisco, CA and Somerset, NJ in the United States, London in the United Kingdom, Singapore, and three offices in India (New Delhi, Hyderabad and Chandigargh). Pyramid has been ranked by Staffing Industry Analysts as one of the largest diversity staffing firms specializing in IT and among the fastest growing U.S. staffing firm overall. In addition, Pyramid is a previous winner of the National Minority Supplier Development Council's Supplier of the Year and has won numerous Supplier of the Year awards from the Georgia Minority Supplier Development Council. see less Specialties IT Staff Augmentation, Application Management Services, Enterprise Project Solutions, Mobile Development, Mobile Test Automation, Product and Engineering Services, Enterprise Mobility, Test Automation, QA - Manual and Automated Testing, QA Strategy Website ************************ Industry Information Technology and Services Type Privately Held Company Size 1001-5000 employees Founded 1996 Job Description Location - Somers, NY / Plano, TX Data Modeler Role supports data modeling needs for MDM/BPM Workflow project development, under the guidance of the MDM & Data Design team leads. Primary Responsibilities include: • Convert preliminary logical data model to 3rd normal form physical model • Perform data modeling for new relational database; collaborate with team lead/senior designer to create data solutions for business and systems requirements. • Adhere to, and enforce, data standards and best practices. • Attend requirements gathering meetings with team lead, senior designer, application teams, Database Administrators (DBAs), and/or business partners to understand business needs. Create Functional & Technical Documentation for all database structures. • Support application teams with data identification and analysis. • Convert logical data model to physical model and database in development environment; transition to DBAs for test and production environments. • Create and maintain Metadata, including table/column definitions. • Prepare, maintain and publish documentation, including business transformation logic (Source-to-Target Mappings), data models and data dictionary reports. Additional Information All your information will be kept confidential according to EEO guidelines.

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.

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. AI & Data - Data Architecture - Senior Manager - Power & Utilities Sector EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures. The opportunity You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints. Your key responsibilities In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include: As Data Architect - Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them. Skills and attributes for success To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include: Technical Skills Applications Integration Cloud Computing and Cloud Computing Architecture Data Architecture Design and Modelling Data Integration and Data Quality AI/Agentic AI driven data operations Experience delivering business use cases in Transmission / Distribution / Generation / Customer. Strong relationship management and business development skills. Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems. Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements. Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives. Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects. Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions. Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement. Establish data governance policies and practices, including data security, quality, and lifecycle management. Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities. To qualify for the role, you must have A Bachelor's degree required in STEM 12+ years professional consulting experience in industry or in technology consulting. 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions. 5+ years' experience with native cloud products and services such as Azure or GCP. 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development. In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration. Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications. Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably. Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes. Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations. Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala. Ability to design data solutions that can scale horizontally and vertically while optimizing performance. Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads. Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps). Practical understanding of data encryption, access control, and security best practices to protect sensitive data. Experience leading Infrastructure and Security engineers and architects in overall platform build. Excellent leadership, communication, and project management skills. Data Security and Database Management Enterprise Data Management and Metadata Management Ontology Design and Systems Design Ideally, you'll also have Master's degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience. Experience working at big 4 or a major utility. Experience with cloud data platforms like Databricks. 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. Building and Managing Relationships Client Trust and Value and Commercial Astuteness Communicating With Impact and Digital Fluency What we look for We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role. 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 $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. 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 ************************** . #J-18808-Ljbffr