Lead Technical Services Application Scientist Job at Exact Sciences (Madison)

Technical Lead Business Analyst - Wholesale Lending - Vice President

Citibank is a leading financial institution committed to innovation, regulatory ...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's degree in Finance, Business Administration, Data Science, or a related field
Minimum of 10 years of experience in the financial services industry, with a focus on wholesale lending and regulatory reporting
Strong understanding of wholesale lending products and processes
Familiarity with current AI technologies and their applications in the financial industry
Solid grasp of regulatory frameworks such as FR-Y14, Shared National Credit, and 2052a and their reporting requirements within a large banking institution
Experience in developing and implementing data quality management policies and procedures
Excellent analytical, problem-solving, and communication skills
Strong grasp of business intelligence and data visualization software: Excel, tableau, PowerPoint
Ability to collaborate effectively with cross-functional teams and stakeholders
Proven ability to provide subject matter expertise and resolve complex issues

Job Responsibility

Act as a business subject matter expert (SME) in the development and integration of AI use cases for wholesale lending products
Collaborate with business leaders, data scientists, and technology teams to define AI use cases, ensuring alignment with business objectives and regulatory requirements
Provide business insights and guidance in the creation, testing, and integration of AI models and solutions
Evaluate the impact of AI implementations on lending processes and outcomes
Support the development and implementation of best-in-class Data Quality management policies, procedures, and capabilities
Work closely with business leaders, the Data Quality organization, Data Owners, Technology Owners, and Enterprise Data Office personnel teams to ensure data quality standards are met
Participate in the continuous improvement, monitoring, control, and governance of Data Quality
Contribute to programs aimed at enhancing data quality across the organization
Assist in the implementation of a robust operating model across all regulatory reports supported by the Regulatory & Analytics team in EDO
Ensure the operating model supports the end-to-end filing lifecycles of regulatory reports

Fulltime

Senior Application Scientist, Test Implementation and Support

The Sr. Technical Services Application Scientist is responsible for providing ou...

Location

United States , Phoenix

Salary:

67000.00 - 119000.00 USD / Year

Exact Sciences

Expiration Date

Until further notice

Requirements

Ph.D. in a life sciences field
Master’s degree in a life sciences field and 2 years of life sciences industry experience in lieu of Ph.D.
or Bachelor’s Degree in life sciences or related field and 4 years of life sciences industry experience in lieu of Ph.D.
3+ years of experience in the life sciences industry or a related field
3+ years of experience analyzing data with tools such as Microsoft Office Excel or JMP
2+ years of experience working in a molecular diagnostics/clinical laboratory
Professional working knowledge or coursework with molecular biology techniques and Real-Time-PCR Assays
Strong understanding of statistical and mathematical methods in biology/genetics
Proficient in Microsoft Office, especially Excel
Authorization to work in the United States without sponsorship

Job Responsibility

Receive and document incoming customer communications
Work cooperatively with the Technical Services team and internal functional departments to troubleshoot and resolve customer questions or requests
Lead troubleshooting of customer issues through root cause investigation, experiment design, study execution, data analysis, and reporting
Conduct bench level experiments within several product areas
Prepare technical experiment report with all technical specification and information and present to supervisor or project team
Coordinate with the Development and Marketing teams for proper implementation of new products
Clearly and accurately summarize and document troubleshooting activities or technical summary
Prepare detailed technical protocols
Communicate customer feedback regarding their product requirements to the developmental team
Assist with metrics tracking to monitor performance of the technical services team and quality of the product

What we offer

Paid time off (including days for vacation, holidays, volunteering, and personal time)
Paid leave for parents and caregivers
A retirement savings plan
Wellness support
Health benefits including medical, prescription drug, dental, and vision coverage
Bonus eligibility

Fulltime

Data Analytics Lead - Data Scientist - Vice President

The Data Analytics Lead / Data Scientist is a strategic professional who stays a...

Location

India , Chennai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10-15 years of relevant experience in Data Analytics, Data Science, or Advanced Analytics roles
Advanced proficiency in SQL and relational database concepts
Strong programming experience in Python (required)
PySpark preferred
Hands-on experience building and deploying machine learning models (supervised and unsupervised)
Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch
Strong knowledge of statistical modeling, feature engineering, and model validation techniques
Experience with BI tools such as Tableau or Power BI
Familiarity with MLOps practices (model deployment, monitoring, versioning) is strongly preferred
Experience working with large-scale enterprise or financial datasets

Job Responsibility

Integrates subject matter and industry expertise within a defined area
Contributes to data analytics standards around which others will operate
Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function
Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers
Resolves occasionally complex and highly variable issues
Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken
Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Lead the design and execution of complex data analysis and AI/ML initiatives across large, structured, and unstructured datasets
Develop and deploy predictive, classification, clustering, and forecasting models to support business strategy and risk management

Fulltime

Lead Data Scientist

We are searching for a dynamic Lead Data Scientist to join our team and evolve, ...

Location

United Kingdom , London

Salary:

Not provided

Kantar

Expiration Date

Until further notice

Requirements

Advanced degree or equivalent experience from world-class technical institutes in relevant field
Demonstrated ability in Data science including traditional supervised and unsupervised machine learning methods, with some exposure to / experience in Generative AI in the last few years
Strong background in mathematics, probability, analytic problem solving and multivariate statistics
Confirmed experience of having led, or responsible for AI / ML product / solution development
Demonstrable experience in building and deploying applications on cloud platforms like Azure/AWS/Google Cloud using server-less architecture
Proficiency in tools such as Azure machine learning service, Amazon Sagemaker, Google Cloud AI
Proficiency with Python is critical
Ambitious, dedicated, curious, and entrepreneurial

Job Responsibility

Collaborate with the Chief AI Scientist and the Executive Committee to build an outstanding portfolio of AI-led solutions within KANTAR
Engage in several R&D efforts to demonstrate and develop new capabilities, algorithms, and technologies across the entire breadth of data science, including but not limited to Generative AI
Work closely with Engineering, Product, Operations, and Commercial teams to scale and commercialize the products and solutions you develop
Translate potential AI, ML and other data science ideas into concrete, scalable products
Work hands-on and lead a very hardworking, cross-functional, and geographical team with multifaceted strengths of data scientists
Serve as a representative and ambassador for data science, AI, and ML-led solutions with all collaborators

Fulltime

Lead Data Scientist

Prism is seeking a Lead Data Scientist who will make high-impact, hands-on contr...

Location

United States , NYC or San Diego (La Jolla/UTC)

Salary:

140000.00 - 160000.00 USD / Year

Prism Data

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Statistics, Data Science, Math, Industrial Engineering, or similar quantitative discipline required
4+ years of experience as a Data Scientist or Statistician, preferably in credit risk or financial services
Research & development of new attributes, models, decision strategies, and/or analytic capabilities
Customer-facing testing of data or analytic solutions (e.g., credit risk scores, alternative data, fraud prevention, etc.)
Collaboration with business teams to understand and address business problems
Modeling experience in the latest AI and machine learning approaches
Mastery of rudimentary modeling approaches (e.g., regression, decision trees)
Knowledge of data labeling/categorization, feature development and selection, model design and training, testing, coding, implementation, monitoring, and governance
Financial services industry data expertise, including types of data sources applicable to different types of business decisions based on regulatory factors
Experience evaluating alternative statistical approaches, including review of academic papers on new techniques and ideas, and justifying which approach is best suited for which problems and why

Job Responsibility

Maintain and advance existing analytical product suite
Enhance core cash flow underwriting offerings as new data elements become available
Develop next-generation versions of products to boost stability, predictive accuracy, and relevancy to emerging use cases
Develop new products for new market opportunities using novel data assets
Demonstrate best practices in transparent modeling approaches to enable easy client adoption
Support sales, revenue attainment, and thought leadership
Conduct proof of concept analyses of the efficacy of Prism products in the context of clients’ business problems, and present results and insights
Support new and existing clients by guiding them on score cutoffs and the use of powerful custom attribute sets for their business
Educate clients on technical product knowledge
Contribute analysis to thought leadership content delivered by Prism executives in white papers and industry conferences

What we offer

medical
dental
vision
401(k)
equity-based compensation

Fulltime

Lead Data Scientist

Prism Data is building the future of credit risk assessment using modern data sc...

Location

United States , NYC or San Diego (La Jolla/UTC)

Salary:

150000.00 - 195000.00 USD / Year

Prism Data

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Statistics, Data Science, Math, Industrial Engineering, or similar quantitative discipline required
Master’s or PhD is a plus
4+ years of experience as a Data Scientist or Statistician, preferably in credit risk or financial services
Research & development of new attributes, models, decision strategies, and/or analytic capabilities
Customer-facing testing of data or analytic solutions (e.g., credit risk scores, alternative data, fraud prevention, etc.)
Cash flow underwriting analytics experience is a strong plus
Collaboration with business teams to understand and address business problems
Modeling experience in the latest AI and machine learning approaches
Mastery of rudimentary modeling approaches (e.g., regression, decision trees)
Expertise building Gradient Boosting models is a plus

Job Responsibility

Maintain and advance existing analytical product suite
Enhance core cash flow underwriting offerings as new data elements become available
Develop next-generation versions of products to boost stability, predictive accuracy, and relevancy to emerging use cases
Develop new products for new market opportunities using novel data assets
Demonstrate best practices in transparent modeling approaches to enable easy client adoption
Support sales, revenue attainment, and thought leadership
Conduct proof of concept analyses of the efficacy of Prism products in the context of clients’ business problems, and present results and insights
Support new and existing clients by guiding them on score cutoffs and the use of powerful custom attribute sets for their business
Educate clients on technical product knowledge
Contribute analysis to thought leadership content delivered by Prism executives in white papers and industry conferences

What we offer

Equity-based compensation
Comprehensive benefit plan, including medical, dental, vision, and 401(k)

Fulltime

New

Solution Architect, Retail and CPG

Make retail great again through the power of technology! Intellias helps retaile...

Location

Germany

Salary:

Not provided

Intellias

Expiration Date

Until further notice

Requirements

10+ years in software engineering, system design and solution architecture for large-scale, transaction-heavy digital platforms
Understanding of Retail & Consumer technology landscapes in DACH, including the key digital, platform, data, and modernization challenges facing the sector
Relevant experience gained either in-house or in IT services, including experience as a solution/application/platform architect in Retail & Consumer organizations
Background in IT services, digital engineering, or product/platform engineering environments strongly preferred
Proven success leading cross-functional engineering teams to deliver complex initiatives on time and at scale
Demonstrated ability to mentor and develop technical talent, fostering collaborative and high-performing teams
Strong experience working with senior stakeholders to translate business strategy into executable technical roadmaps
Fluency both in German and English languages
End-to-end architecture experience across enterprise digital platforms, user-facing applications, and backend systems in complex distributed environments
Strong background in platform integrations, including: Core enterprise systems and third-party services

Job Responsibility

Solution Architect role focuses on designing digital platforms and supporting cross-functional teams with the implementation
Pre-sales support for new business acquisitions and on expansion of strategic accounts across DACH region
Opportunity assessment
Solution shaping
Proposal contribution and structured collaboration with senior stakeholders to support commercial growth objectives
Technology governance for ongoing engagements

Senior Software Engineer

Are you passionate about building Enterprise applications leading with AI? Are y...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

BS or MS degree in Computer Science, Mathematics or Engineering
8+ years of experience as a software engineer building commercial software
8+ years of experience in cloud development principles and patterns, particularly loosely coupled architectures and micro-services, DevOps model
5+ years of experience in leading, managing, and driving technical and architectural dependencies
Proficiency in C#, .NET, JavaScript/TypeScript, or equivalent languages/frameworks
Hands-on experience in app development using AI Technologies, ASP.NET, Azure PaaS services like Web apps, Function Apps, Service Bus, Event Hub, REST API, SQL and NoSQL
Experience working in agile teams or startup environments with strong customer focus
Excellent communication skills and ability to collaborate in a multi-disciplinary team consisting of Software Engineers, Program Managers, and Data Scientists

Job Responsibility

Lead the end-to-end software development lifecycle, including requirement gathering, architecture, application and database design, development, testing, and deployment, while enforcing engineering best practices to ensure high-quality, scalable, and secure solutions
Leverage AI and develop Copilot features within the application to enhance user experience and productivity
Develop resilient solution designs that adhere to architectural best practices, security by design, and business goals, guiding the team in selecting optimal technologies and design patterns for sustainable and high-performing systems
Mentor team members through code reviews and design feedback, promoting skill growth, inclusion, and a collaborative culture
Foster collaboration with Microsoft product teams, program managers, and user experience (UX) designers to manage dependencies, share knowledge, and jointly deliver updates
Establish and enforce best practices in coding, testing, and documentation to ensure high standards for code quality, performance, and service reliability
Support and maintain existing services & integrations with LOB applications across the enterprise
Identify and implement opportunities for automation, process optimization, and technical innovation
Participate actively in sprint and semester planning, provide accurate cost estimates, and maintain transparent communication on deliverables, risks, and milestones

Fulltime

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Lead Technical Services Application Scientist

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