Senior data scientist jobs in White Plains, NY - 149 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.

We seek a Senior Data Scientist (Experimental Design) to join our client's Data Science Lab in a Hybrid role (2 days a week in Office). This is a Direct Hire opportunity. Hybrid Office locations: New York, Holmdel, Stamford, Bethlehem, Pittsfield Your Job As a Senior Data Scientist, you will be responsible for developing advanced data science solutions leveraging machine learning and artificial intelligence to drive enterprise-wide innovation. You will collaborate with senior executives on high-impact, high-visibility projects to deliver AI/ML solutions and create value from our data and analytic products. Your responsibilities will include developing test and learn capabilities, designing and executing experiments, creating statistical and AI/ML models, and conducting A/B testing. The Work Develop Enterprise Test and Learn Capabilities Investigating the current state of the art of experimentation practices and causal inferencing/ML techniques to identify opportunities for upscaling the methodology best practices Develop and execute advanced data-driven experiments to optimize various aspects of client's business Create test hypothesis, experiment design including KPI selection, and collect and analyze data Develop statistical and AI/ML models to analyze experimental data and derive actionable insights Apply statistical methods to assess the reliability and significance of experimental results Conduct A/B testing, multivariate tests, and other experimental methodologies to optimize customer experience, product features, marketing campaigns, and other business objectives Organize and manage data to extract insights that can be further incorporated into solution/model • Support use case development that includes initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets Utilize advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs Identify source data and data quality checks both in model/solution development and in production Package model/solution and deployment in cooperation with Data Engineers and MLOps Develop Deep Learning/Large Language Model/Generative AI capabilities Map and mine unstructured data such as insurance contracts, medical records, sale notes, and customer servicing logs AI/ML solutions include but not limited to enhancing underwriting risk assessment, claims auto adjudication, and customer servicing Contribute to the overall Data Science organization Collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups Contribute to standardization of Data Science tools, processes, and best practices Qualifications Combination of education in Statistics, Computer Science, Engineering, Applied mathematics or related field AND professional experience in Data Science or Data Analysis equaling either: PhD with 2+ years professional experience Master's degree with 4+ years professional experience 3+ years of hands-on ML modeling/development experience Strong theoretical foundations in probability & statistics, and causal inferencing techniques Proven expertise in setting up hypotheses to assess consumer behavior, in designing, implementing and deploying tests Strong programming skills in Python including PyTorch and/or Tensorflow Solid background in algorithms and a range of ML models Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Nice to Have Experience in the insurance industry Experience with big data technologies such as Hadoop, Spark, and/or cloud computing Knowledge of Agile development methodology Experience with data visualization tools such as Tableau, QlikView, and/or D3.js #DataScience #MachineLearning #ExperimentalDesign #AI #Python #PyTorch #Tensorflow #Algorithms #MLModeling #DataEngineering #DataWrangling #ETL #DataMatching #DeepLearning #LargeLanguageModel #GenerativeAI #InsuranceIndustry #BigData #Hadoop #Spark #CloudComputing #Agile #DataVisualization #Tableau #QlikView #D3js

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

Bachelors or Master's degree with specialization in Computer Science, Information Systems, Mathematics, Statistics or other quantitative disciplines Excellent ability to query large datasets using SQL queries and working with databases Excellent in programming languages such as Java, Python, etc. Experience in data extraction and processing, using MapReduce, Pig, Hive, etc. Proficient programming skills using SAS and/or R Knowledge of building and applying machine learning or predictive modeling Strong problem solving skills Exceptional ability to communicate and present findings clearly to both technical and non-technical audiences Excellent interpersonal and collaboration skills Additional Information Thanks & Regards, Praveen K. Paila ************

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

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

Akkodis is seeking a Data Scientist for a Contract with a client in Basking Ridge, NJ. You will be responsible for analyzing large-scale wireless and IEN alarm data to detect patterns, reduce noise, and improve network reliability through KPIs, dashboards, and ML-driven insights. Rate Range: $50/hour to $53/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Data Scientist job responsibilities include: * Analyze large-scale alarm and time-series data from OSS/NMS/EMS systems to identify patterns, recurring fault signatures, and cross-domain trends (RAN, Core, IEN). * Build and deploy ML models for alarm correlation, noise reduction, anomaly detection, root cause analysis, and predictive fault forecasting using Python/R (Pandas, NumPy, Scikit-learn, PySpark). * Design KPIs, dashboards, and real-time monitoring in tools like Tableau/Power BI/Grafana to track network health, MTTR/SLA, and reliability metrics for NOC and engineering teams. * Clean, normalize, and enrich multi-source data (OSS, EMS, NMS, CMDB, performance systems); integrate pipelines on big data platforms (Spark/Hadoop) and streaming tools (Kafka/Flink). * Automate fault insight pipelines and model operations, including versioning, performance tracking, and documentation; collaborate with NOC, Network Engineering, and Reliability teams to operationalize insights. * Communicate findings to technical and non-technical stakeholders, driving proactive maintenance, incident prevention initiatives, and continuous improvement of AIOps/network intelligence capabilities. Required Qualifications: * Bachelor's or master's degree in computer science, Data Science, Telecommunications, or a related field. * 3-5 years of experience in data analytics, machine learning, or network fault management. * Strong proficiency in Python or R with experience in libraries such as Pandas, NumPy, Scikit-learn, and PySpark. * Hands-on experience with wireless networks (2G/3G/4G/5G), OSS/NMS systems, and big data platforms like Spark or Hadoop. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at *****************************. Pay Details: $50.00 to $53.00 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ****************************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: * The California Fair Chance Act * Los Angeles City Fair Chance Ordinance * Los Angeles County Fair Chance Ordinance for Employers * San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

**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.

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

LanceSoft is a nationally certified Minority Business Enterprise (MBE) that has established itself as a pioneer in providing highly scalable, cost-effective workforce solutions to a diverse set of customers across various industries in the United States. Headquartered in Virginia, LanceSoft currently operates out of several locations in the US and Canada. Summary: Title: Manager, Biostatistician Location: Woodcliff Lake, NJ Duration: 12 months Job Description: Work with the clinical study team on study design, development and/or review of clinical study protocols. Contribute to clinical trial design, protocol concept sheet and protocol development Participate study related activities and provide statistical support such as reviewing Case Report Form (CRF) and guidance, validating randomization scheme and developing Study Quality Surveillance Plan (SQS), reviewing Independent Radiology Review Committee Charter and data transfer plan, etc. Develop and/or review statistical documents and deliverables for clinical trials including Statistical Analysis Plan (SAP) for individual studies and integrated summaries of drug efficacy and safety, Table, Listing and Graph (TLG) shells, statistical validation plan, Data Set Specification (Rule Book), Data Monitoring Committee Charter and interim analysis plan, Clinical Study Report (CSR) and others Work with clinical data managers on design/review of case report form, data transfer specification, edit check specification, and participation in user acceptance testing (UAT); generate/review data tables/listings and coordinate data review meetings during the course of the study to ensure data quality. Oversee programming activities, perform quality assurance checks on internally or externally produced SAS tables, listings, and figures, and ensure the quality of deliverables. Perform post-hoc statistical analyses as needed. May work on submission teams as a statistician and/or a programmer. Generate and QC outputs for publications; review publication (abstract/manuscripts) to ensure accuracy, quality and soundness of statistical methodologies Will serve as lead Statistician on complex trials and across multiple studies. Project work including participating in the development of Clinical Development Plans (CDPs) and the protocol development process, developing and implementing Statistical Analysis Plans (SAPs), supervising CROs and interfacing with co-promoters, attending IPT meetings, consulting with clinical or regulatory affairs groups on strategic issues related to compound development, study designs, analysis, resource needs and future plans. Managing non-project work including infrastructure development initiatives and involvement in committees working to develop SOPs and SWPs to improve quality, efficiency and timeliness of work processes. Facilitate teams to identify issues related to biostatistics and propose solutions; manage day-to-day biostatistics operations and help to develop resource allocation to execute biostatistics initiatives as needed. QUALIFICATIONS: Must have a MS in Biostatistics/Statistics with at least 5 years of experience or a PhD in Biostatistics/ Statistics with at least 4 years of experience in the pharmaceutical, CRO or biotech industry. Strong SAS programming skills. Oncology experience is required. Ability to effectively work on multiple projects Good organization, time management and attention to detail skills needed to work in a stressful environment under tight deadlines while maintaining focus on details and quality. Applies good judgment and leads problem solving within the team Familiar with oncology clinical trial Phase I-III design and survival analysis, submission experience will be plus. Additional Information Regards, Anuj Mehta ************

Work closely with clinicians, programmers, and publication managers to generate and QC outputs for publications; review publication (abstract/manuscripts) to ensure accuracy, quality and soundness of statistical methodologies; coordinate internal resource utilization for publication and generate activities metrics for management review. • Work with the clinical study team on study design, development and/or review of clinical study protocols. • Develop and/or review statistical analysis plans, including Table/listing/figure shells, and final study report for clinical studies; perform post-hoc statistical analyses as needed. • Work with the project statistician and clinical data managers on design/review of case report form, data transfer specification, edit check specification, and participation in user acceptance testing (UAT); generate/review data tables/listings and coordinate data review meetings during the course of the study to ensure data quality. • Oversee CRO programming activities, perform quality assurance checks on internally or externally produced SAS tables, listings, and figures, ensure the quality of CRO deliverables. • May work with the Health Outcome team on the design/analysis/validation of projects. • May work on submission teams as a statistician and/or a programmer. Qualifications QUALIFICATIONS NEEDED: • Must have a MS in Biostatistics/Statistics with at least 5 years of experience or a PhD in Biostatistics/ Statistics with at least 3 years of experience in the pharmaceutical, CRO or biotech industry. • Strong SAS programming skills. • Oncology experience is required (min 1 year) • Good technical writing skills. • Good communication skills (verbal and written). • Strong teamwork ability/commitment and individual initiative. • Strong organizational skills with ability to effectively manage multiple projects. Additional Information • Must have a MS in Biostatistics/Statistics with at least 5 years of experience or a PhD in Biostatistics/ Statistics with at least 3 years of experience in the pharmaceutical, CRO or biotech industry.

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

* We are looking for candidates who are interested in working in a hybrid environment as we build the foundation and grow our team in Colombia. We offer a flexible working environment to balance the need to work independently, with days that may require in-person collaboration at our office. * Who You'll Work With At Slalom, we co-create custom software, data and cloud products with clients who are ready to accelerate their digital transformation. We're passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change. We're thrilled by the opportunity to build the future we want to see, with anyone willing to join us. Slalom's Data Architecture & Engineering team is focused on injecting intelligence into products, engineering systems that support learning and insight and creating innovative data products. Within Data Engineering we help customers build world-class products through effective use of: * Data Engineering consisting of streaming / real-time data solutions, modern data platforms and data systems within products (i.e., database systems, graph databases, key-value stores, document databases and transactional systems) * Data Visualization * Machine Learning and Artificial Intelligence What You'll Do Slalom's Data Architecture & Engineering team is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery. As a Senior Data Engineer for Slalom, you will work in teams with minimal oversight and direction to deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data related technologies. In addition to building the next generation of data platforms, you will be working with some of the most forward-thinking organizations in data and analytics. You will typically work under the direction of a Solution Architect to help design and implement components of our clients' data platform solution. You'll also participate in design sessions, be experienced at breaking down complex development tasks, and be responsible for the timely and quality completion of development items assigned to you and the data engineers reporting to you. What You'll Bring As a Senior Engineer in the Data Architecture & Engineering team, you will bring a curious mindset to your client's engagement, a thirst for knowledge and a hunger for fearless experimentation in new and interesting ways to meet our clients' most pressing data challenges. You are self-starter, effective in breaking down large problems into smaller ones, and eager to regularly share what you learn with others within your projects and in the broader Builder community. You will have an insatiable need for becoming the best at what you do and have hands-on experience with data platforms and programming languages as you explore the range of technologies we help our clients with, including: * Big Data Platforms (Apache Spark, Presto, Amazon EMR) * Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery) * Object Oriented Coding (Java, Python) * NoSQL Databases (DynamoDB, Cosmos DB, MongoDB) * Container Management Systems (Kubernetes, Amazon ECS) * Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio) * Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka) * Visual Analytics (Tableau, PowerBI) * Modern Data Workflows (Apache Airflow, dbt, Dagster) About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

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

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

Mindlance is a national recruiting company which partners with many of the leading employers across the country. Feel free to check us out at ************************* Job Description Bachelors or Master's degree with specialization in Computer Science, Information Systems, Mathematics, Statistics or other quantitative disciplines Excellent ability to query large datasets using SQL queries and working with databases Excellent in programming languages such as Java, Python, etc. Experience in data extraction and processing, using MapReduce, Pig, Hive, etc. Proficient programming skills using SAS and/or R Knowledge of building and applying machine learning or predictive modeling Strong problem solving skills Exceptional ability to communicate and present findings clearly to both technical and non-technical audiences Excellent interpersonal and collaboration skills Additional Information Thanks & Regards, Praveen K. Paila ************