Senior data scientist jobs in Tucson, AZ

Job Title: Sr. Data Engineer Job Type: Full Time Compensation: $130,000 - $150,000 D.O.E. is eligible for medical, dental, vision, and life insurance coverage, & PTO Senior Data Engineer ROLE OVERVIEW The Senior Data Engineer is responsible for designing, building, and maintaining scalable data platforms that support analytics, reporting, and advanced data-driven initiatives. This is a hands-on engineering role focused on developing reliable, high-performing data solutions while contributing to architectural standards, data quality, and governance practices. The ideal candidate has strong experience with modern data architectures, data modeling, and pipeline development, and is comfortable collaborating across technical and business teams to deliver trusted, production-ready datasets. KEY RESPONSIBILITIES Design and maintain data models across analytical and operational use cases to support reporting and advanced analytics. Build and manage data pipelines that ingest, transform, and deliver structured and unstructured data at scale. Contribute to data governance practices, including data quality controls, metadata management, lineage, and stewardship. Develop and maintain cloud-based data platforms, including data lakes, analytical stores, and curated datasets. Implement and optimize batch and near-real-time data ingestion and transformation processes. Support data migration and modernization efforts while ensuring accuracy, performance, and reliability. Partner with analytics, engineering, and business teams to understand data needs and deliver high-quality solutions. Enable reporting and visualization use cases by providing clean, well-structured datasets for downstream tools. Apply security, privacy, and compliance best practices throughout the data lifecycle. Establish standards for performance tuning, scalability, reliability, and maintainability of data solutions. Implement automation, testing, and deployment practices to improve data pipeline quality and consistency. QUALIFICATIONS Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience. 5+ years of experience in data engineering or related roles. Strong hands-on experience with: Data modeling, schema design, and pipeline development Cloud-based data platforms and services Data ingestion, transformation, and optimization techniques Familiarity with modern data architecture patterns, including lakehouse-style designs and governance frameworks. Experience supporting analytics, reporting, and data science use cases. Proficiency in one or more programming languages commonly used in data engineering (e.g., Python, SQL, or similar). Solid understanding of data structures, performance optimization, and scalable system design. Experience integrating data from APIs and distributed systems. Exposure to CI/CD practices and automated testing for data workflows. Familiarity with streaming or event-driven data processing concepts preferred. Experience working in Agile or iterative delivery environments. Strong communication skills with the ability to document solutions and collaborate across teams.

About the Role We are seeking a highly skilled Databricks Data Engineer with strong expertise in modern data engineering, Azure cloud technologies, and Lakehouse architectures. This role is ideal for someone who thrives in dynamic environments, enjoys solving complex data challenges, and can lead end-to-end delivery of scalable data solutions. What We're Looking For 8+ years designing and delivering scalable data pipelines in modern data platforms Deep experience in data engineering, data warehousing, and enterprise-grade solution delivery Ability to lead cross-functional initiatives in matrixed teams Advanced skills in SQL, Python, and ETL/ELT development, including performance tuning Hands-on experience with Azure, Snowflake, and Databricks, including system integrations Key Responsibilities Design, build, and optimize large-scale data pipelines on the Databricks Lakehouse platform Modernize and enhance cloud-based data ecosystems on Azure, contributing to architecture, modeling, security, and CI/CD Use Apache Airflow and similar tools for workflow automation and orchestration Work with financial or regulated datasets while ensuring strong compliance and governance Drive best practices in data quality, lineage, cataloging, and metadata management Primary Technical Skills Develop and optimize ETL/ELT pipelines using Python, PySpark, Spark SQL, and Databricks Notebooks Design efficient Delta Lake models for reliability and performance Implement and manage Unity Catalog for governance, RBAC, lineage, and secure data sharing Build reusable frameworks using Databricks Workflows, Repos, and Delta Live Tables Create scalable ingestion pipelines for APIs, databases, files, streaming sources, and MDM systems Automate ingestion and workflows using Python and REST APIs Support downstream analytics for BI, data science, and application workloads Write optimized SQL/T-SQL queries, stored procedures, and curated datasets Automate DevOps workflows, testing pipelines, and workspace configurations Additional Skills Azure: Data Factory, Data Lake, Key Vault, Logic Apps, Functions CI/CD: Azure DevOps Orchestration: Apache Airflow (plus) Streaming: Delta Live Tables MDM: Profisee (nice-to-have) Databases: SQL Server, Cosmos DB Soft Skills Strong analytical and problem-solving mindset Excellent communication and cross-team collaboration Detail-oriented with a high sense of ownership and accountability

Sr Bigdata developer Scottsdale AZ Must have : 10-12 years of experience Strong Experience in Scala, Spark, hive SQL, Hadoop and Kafka Proficiency in Hive and SQL optimization. Understanding of distributed systems and big data architecture. Knowledge of streaming frameworks (Spark Streaming, Kafka Streams). Good to have - Aerospike experience

Role: Data Governance Engineer Experience Required - 6+ Years Must Have Technical/Functional Skills • Understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience. • 2 - 5 years of Data Quality Management experience. • Intermediate competency in SQL & Python or related programming language. • Strong familiarity with data architecture and/or data modeling concepts • 2 - 5 years of experience with Agile or SAFe project methodologies Roles & Responsibilities • Assist in identifying data-related risks and associated controls for key business processes. Risks relate to Record Retention, Data Quality, Data Movement, Data Stewardship, Data Protection, Data Sharing, among others. • Identify data quality issues, perform root-cause-analysis of data quality issues and drive remediation of audit and regulatory feedback. • Develop deep understanding of key enterprise data-related policies and serve as the policy expert for the business unit, providing education to teams regarding policy implications for business. • Responsible for holistic platform data quality monitoring, including but not limited to critical data elements. • Collaborate with and influence product managers to ensure all new use cases are managed according to policies. • Influence and contribute to strategic improvements to data assessment processes and analytical tools. • Responsible for monitoring data quality issues, communicating issues, and driving resolution. • Support current regulatory reporting needs via existing platforms, working with upstream data providers, downstream business partners, as well as technology teams. • Subject matter expertise on multiple platforms. • Responsible to partner with the Data Steward Manager in developing and managing the data compliance roadmap. Generic Managerial Skills, If any • Drives Innovation & Change: Provides systematic and rational analysis to identify the root cause of problems. Is prepared to challenge the status quo and drive innovation. Makes informed judgments, recommends tailored solutions. • Leverages Team - Collaboration: Coordinates efforts within and across teams to deliver goals, accountable to bring in ideas, information, suggestions, and expertise from others outside & inside the immediate team. • Communication: Influences and holds others accountable and has ability to convince others. Identifies the specific data governance requirements and is able to communicate clearly and in a compelling way. Interested candidates please do share me your updated resume to ******************* Salary Range - $100,000 to $120,000 per year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

About the Role We're partnering with a large, operations-focused organization to hire a Data Scientist (GIS) to support analytics initiatives within their operations function. This role applies geospatial data and advanced analytics to help improve operational efficiency, service reliability, and planning decisions. The work is highly analytical and engineering-focused, with models built directly in Snowflake and used as inputs into downstream optimization and planning systems. What You'll Work On Geospatial Modeling & Time Estimation Develop data-driven models to estimate operational timing across different service and facility interactions Leverage GPS data and geofencing techniques to understand behavior across locations Incorporate contextual variables such as: Geography and location characteristics Customer and service attributes Site complexity and external conditions (e.g., weather, time-based patterns) Produce reliable, explainable time estimates that support planning and decision-making Facility & Location Analytics Model turnaround and processing time across different types of locations Analyze performance variability based on operational and environmental factors Apply polygon- and radius-based geofencing to capture location-specific behavior Quantify how conditions impact operational flow and timing outcomes Technical Environment Primary development and modeling in Snowflake Build and engineer transformations and analytical processes directly in Snowflake Modeling approaches may include: Percentile-based time estimates Aggregations such as averages and medians by service and location attributes Data sources include: Latitude/longitude data High-frequency GPS signals Location and facility reference data What We're Looking For Strong hands-on experience with Snowflake Advanced SQL skills Python for analytics and data engineering Solid understanding of core GIS concepts, including: Spatial joins Polygons Geofencing Experience with traditional GIS tools (e.g., ArcGIS) is a plus, but this is not a cartography or visualization-focused role Background in geospatial data engineering and modeling is key Interview Process Two One hour video interviews

Job Title : Data Governance Engineer Phoenix, AZ - Complete Onsite Full-Time Permanent Experience Required - 6+ Years Must Have Technical/Functional Skills Understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience. 2 - 5 years of Data Quality Management experience. Intermediate competency in SQL & Python or related programming language. Strong familiarity with data architecture and/or data modeling concepts 2 - 5 years of experience with Agile or SAFe project methodologies Roles & Responsibilities Assist in identifying data-related risks and associated controls for key business processes. Risks relate to Record Retention, Data Quality, Data Movement, Data Stewardship, Data Protection, Data Sharing, among others. Identify data quality issues, perform root-cause-analysis of data quality issues and drive remediation of audit and regulatory feedback. Develop deep understanding of key enterprise data-related policies and serve as the policy expert for the business unit, providing education to teams regarding policy implications for business. Responsible for holistic platform data quality monitoring, including but not limited to critical data elements. Collaborate with and influence product managers to ensure all new use cases are managed according to policies. Influence and contribute to strategic improvements to data assessment processes and analytical tools. Responsible for monitoring data quality issues, communicating issues, and driving resolution. Support current regulatory reporting needs via existing platforms, working with upstream data providers, downstream business partners, as well as technology teams. Subject matter expertise on multiple platforms. Responsible to partner with the Data Steward Manager in developing and managing the data compliance roadmap. Generic Managerial Skills, If any Drives Innovation & Change: Provides systematic and rational analysis to identify the root cause of problems. Is prepared to challenge the status quo and drive innovation. Makes informed judgments, recommends tailored solutions. Leverages Team - Collaboration: Coordinates efforts within and across teams to deliver goals, accountable to bring in ideas, information, suggestions, and expertise from others outside & inside the immediate team. Communication: Influences and holds others accountable and has ability to convince others. Identifies the specific data governance requirements and is able to communicate clearly and in a compelling way.

Hi, We do have an job opportunity for Data Engineer Analyst role. Data Analyst / Data Engineer Expectations: Our project is data analysis heavy, and we are looking for someone who can grasp business functionality and translate that into working technical solutions. Job location: Phoenix, Arizona. Type - Hybrid model (3 days a week in office) Job Description: Data Analyst / Data Engineer (6+ Years relevant Experience with required skill set) Summary: We are seeking a Data Analyst Engineer with a minimum of 6 years in data engineering, data analysis, and data design. The ideal candidate will have strong hands-on expertise in Python and relational databases such as Postgres, SQL Server, or MySQL. Should have good understanding of data modeling theory and normalization forms. Required Skills: 6+ years of experience in data engineering, data analysis, and data design Your approach as a data analysis in your previous / current role, and what methods or techniques did you use to extract insights from large datasets Good proficiency in Python Do you have any formal training or education in data modeling? If so, please provide details about the course, program, or certification you completed, including when you received it. Strong experience with relational databases: Postgres, SQL Server, or MySQL. What are the essential factors that contribute to a project's success, and how do you plan to leverage your skills and expertise to ensure our project meets its objectives? Expertise in writing complex SQL queries and optimizing database performance Solid understanding of data modeling theory and normalization forms. Good communicator with the ability to articulate business problems for technical solutions. Key Responsibilities: Analyze complex datasets to derive actionable insights and support business decisions. Model data solutions for high performance and reliability. Work extensively with Python for data processing and automation. Develop and optimize SQL queries for Postgres, SQL Server, or MySQL databases. Ensure data integrity, security, and compliance across all data solutions. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Communicate effectively with stakeholders and articulate business problems to drive technical solutions. Secondary Skills: Experience deploying applications in Kubernetes. API development using FastAPI or Django. Familiarity with containerization (Docker) and CI/CD tools. Regards, Suhas Gharge

Hiring: Oracle Cloud Data Engineer / Technology Lead We're looking for a hands-on Oracle Cloud Data Engineer (Technology Lead) to drive OCI-based data engineering and Power BI analytics initiatives. This role combines technical leadership with active development in a high-impact data program. Location: Phoenix, AZ (Hybrid) Duration: 6+ Months (Contract) Work Authorization: USC & Green Card holders ONLY (Strict Requirement) Job Summary This role focuses on building scalable data pipelines on Oracle Cloud Infrastructure (OCI) while leading Power BI dashboard and reporting development. You'll apply Medallion Architecture, enforce data governance, and collaborate closely with business stakeholders. Utility industry experience is a strong plus. Must-Have (Non-Negotiable) Skills 8-10 years of experience in Data Engineering & Business Intelligence 3+ years of hands-on OCI experience Strong expertise in OCI Data Services, including: OCI Data Integration, OCI Data Flow, OCI Streaming Autonomous Data Warehouse, Oracle Exadata, OCI Object Storage Hands-on experience with Medallion Architecture (Bronze, Silver, Gold layers) Power BI expertise: dashboards, reports, DAX, Power Query, data modeling, RLS Strong coding skills in SQL, PL/SQL, Python Experience with Terraform, Ansible, and CI/CD pipelines Bachelor's or Master's degree in a related field Power BI Certification - Required Hands-on development is mandatory Key Responsibilities Design and implement secure, scalable OCI data pipelines Lead Power BI dashboard and reporting development Build inbound/outbound integration patterns (APIs, files, streaming) Implement Audit, Balance, and Control (ABC) frameworks Ensure data quality, governance, lineage, and monitoring Mentor engineers and BI developers Drive agile delivery and stakeholder collaboration 📩 Interested? Apply now or DM us to explore this opportunity! You can share resumes at ********************* OR Call us on *****************

Hybrid - 2-3 days on site Phoenix, AZ We're looking for a Data Engineer to help build the cloud-native data pipelines that power critical insights across our organization. You'll work with modern technologies, solve real-world data challenges, and support analytics and reporting systems that drive smarter decision-making in the transportation space. What You'll Do Build and maintain data pipelines using Databricks, Azure Data Factory, and Microsoft Fabric Implement incremental and real-time ingestion using medallion architecture Develop and optimize complex SQL and Python transformations Support legacy platforms (SSIS, SQL Server) while contributing to modernization efforts Troubleshoot data quality and integration issues Participate in proof-of-concepts and recommend technical solutions What You Bring 5+ years designing and building data solutions Strong SQL and Python skills Experience with ETL pipelines and Data Lake architecture Ability to collaborate and adapt in a fast-moving environment Preferred: Azure services, cloud ETL tools, Power BI/Tableau, event-driven systems, NoSQL databases Bonus: Experience with Data Science or Machine Learning Benefits Medical, dental, and vision from day one · PTO & holidays · 401(k) with match · Lifestyle account · Tuition reimbursement · Voluntary benefits · Employee Assistance Program · Well-being & culture programs · Professional development support

Job Title: Senior Data Engineer (PySpark / Python) Employment Type: Contract Must Have Skills py Spark, Python development , data engineer Hands on knowledge for py Spark, Hadoop, Python Github Backend API integration knowledge (JASON, REST) Certifications Needed : No (Good to have GCP certification) Top 3 responsibilities you would expect the Subcon to shoulder and execute Individual contributor Strong development experience and leading dev module Work with client directly

Echelix is a leading AI consulting company helping businesses design, build, and scale intelligent systems. We partner with organizations to make artificial intelligence practical, powerful, and easy to adopt. Our team blends deep technical skill with real-world business sense to deliver AI that drives measurable results. The Role We're looking for a Senior Data Engineer to architect, optimize, and manage database systems that power AI-driven solutions and enterprise applications. You'll lead the design of scalable, secure, and high-performance data infrastructure across cloud platforms, ensuring our clients' data foundations are built for the future. This role is ideal for database professionals who have evolved beyond traditional DBA work into cloud-native architectures, API-driven data access layers, and modern DevOps practices. You'll work with cutting-edge technologies like GraphQL, Hasura, and managed cloud databases while mentoring engineers on data architecture best practices. What You'll Do Design, tune, and manage PostgreSQL, SQL Server, and cloud-managed databases (AWS RDS/Aurora, Azure SQL Database/Cosmos DB) Architect and implement GraphQL APIs using Hasura or equivalent technologies for real-time data access Lead cloud database migrations and deployments across AWS and Azure environments Automate database CI/CD pipelines using tools like GitHub Actions, Azure DevOps, or AWS Code Pipeline Develop and maintain data access layers and APIs that integrate with AI and application workloads Monitor, secure, and optimize database performance using cloud-native tools (AWS CloudWatch, Azure Monitor, Datadog) Implement database security best practices including encryption, access controls, and compliance requirements Mentor engineers on database design, data modeling, and architecture best practices Requirements 5+ years of experience designing and managing production database systems Deep expertise in PostgreSQL and SQL Server, including performance tuning and query optimization Hands-on experience with cloud database services (AWS RDS, Aurora, Azure SQL Database, Azure Cosmos DB) Experience with GraphQL and API development, preferably with Hasura or similar platforms Strong background in database CI/CD automation and Infrastructure as Code (Terraform, CloudFormation, Bicep) Proficiency in scripting languages (Python, Bash) for automation and tooling Solid understanding of data modeling, schema design, and database normalization Strong communication and mentoring skills US citizen and must reside in the United States Nice to Have Experience with NoSQL databases (MongoDB, DynamoDB, Redis) Knowledge of data streaming platforms (Kafka, AWS Kinesis, Azure Event Hubs) Experience with data warehousing solutions (Snowflake, Redshift, Azure Synapse) Background in AI/ML data pipelines and feature stores Relevant certifications (AWS Database Specialty, Azure Database Administrator, PostgreSQL Professional) Why Join Echelix You'll join a fast-moving team that's shaping how AI connects people and data. We value curiosity, precision, and practical innovation. You'll work on real projects with real impact, not just proofs of concept.

Join us for an exciting career with the leading provider of supplemental benefits! Our Promise Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. The Senior Data Scientist is responsible for leveraging their expertise in statistics, computer science and business acumen to extract meaningful insights from complex datasets. This person will play a crucial role in helping organizations make data-driven decisions, solve challenging problems and drive data innovation. The Senior Data Scientist is responsible for leveraging their expertise in statistics, computer science and business acumen to extract meaningful insights from complex datasets. This person will play a crucial role in helping organizations make data-driven decisions, solve challenging problems and drive data innovation. Competencies: Functional: Collaborate with colleagues in other departments to improve business outcomes Identify and mine reliable internal and external data sources Design custom tools to optimize data mining, cleaning, validation and analysis tasks Develop and apply custom data models and algorithms to data sets Develop tools and testing models to ensure data accuracy Create and present reports that detail your findings, recommendations and solutions Core: Data Acquisition and Preparation: Identifying relevant data sources, collecting, cleaning, processing, and transforming raw data into a usable format. This often involves dealing with both structured and unstructured data. Exploratory Data Analysis (EDA): Investigating datasets to uncover patterns, trends, relationships, and anomalies. This stage helps in formulating hypotheses and understanding the data's potential. Statistical Analysis and Modeling: Applying statistical methods and building mathematical models to analyze data, test hypotheses, and make predictions. This includes a strong understanding of statistical concepts, regressions, and probability. Machine Learning and Predictive Modeling: Developing, training, and deploying machine learning algorithms and predictive models to forecast outcomes, classify data, and automate processes. This involves selecting appropriate algorithms, feature engineering, and model evaluation. Data Mining and Pattern Recognition: Utilizing techniques to discover hidden patterns and insights within large datasets, which can be used for tasks like fraud detection or customer behavior prediction. Experimentation and Hypothesis Testing: Designing and conducting experiments (e.g., A/B testing) to validate hypotheses, measure the impact of changes, and optimize solutions. Data Visualization and Communication: Presenting complex findings and insights in a clear, concise, and engaging manner to both technical and non-technical stakeholders. This often involves creating reports, dashboards, and compelling visual representations of data. Behavioral: Collegiality: building strong relationships on company-wide, approachable, and helpful, ability to mentor and support team growth. Initiative: readiness to lead or take action to achieve goals. Communicative: ability to relay issues, concepts, and ideas to others easily orally and in writing. Member-focused: going above and beyond to make our members feel seen, valued, and appreciated. Detail-oriented and thorough: managing and completing details of assignments without too much oversight. Flexible and responsive: managing new demands, changes, and situations. Critical Thinking: effectively troubleshoot complex issues, problem solve and multi-task. Integrity & responsibility: acting with a clear sense of ownership for actions, decisions and to keep information confidential when required. Collaborative: ability to represent your own interests while being fair to those representing other or competing ideas in search of a workable solution for all parties. Minimum Qualifications: Bachelor's degree in computer science, Data Science, Math or related field. 7+ years' experience working in healthcare 12+ years' experience using Java, JavaScript, Python, R or SQL 10+ years' experience in a Data Science/Analytics role Demonstrated expertise in statistics, computer science and business acumen to extract meaningful insights from complex datasets. Expertise in designing multi-cloud or hybrid data ecosystems. Experience with business intelligence and data analytics tools such as PowerBI Expertise with machine learning techniques, Expertise with statistical and data mining techniques Strong problem-solving skills Preferred Qualifications: Master's degree in data science, Computer Science, or related field. Expertise with AI-driven data architecture and advanced analytics solutions. Proficiency in cloud-native database management and DevOps practices. At Avēsis, we strive to design equitable, and competitive compensation programs. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current pay ranges for new hires in each zone are: Zone A: $90,220.00-$150,360.00 Zone B: $98,330.00-$163,890.00 Zone C: $105,820.00-$176,360.00 FLSA Status: Salary/Exempt This role may also be eligible for benefits, bonuses, and commission. Please visit Avesis Pay Zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. We Offer Meaningful and challenging work opportunities to accelerate innovation in a secure and compliant way. Competitive compensation package. Excellent medical, dental, supplemental health, life and vision coverage for you and your dependents with no wait period. Life and disability insurance. A great 401(k) with company match. Tuition assistance, paid parental leave and backup family care. Dynamic, modern work environments that promote collaboration and creativity to develop and empower talent. Flexible time off, dress code, and work location policies to balance your work and life in the ways that suit you best. Employee Resource Groups that advocate for inclusion and diversity in all that we do. Social responsibility in all aspects of our work. We volunteer within our local communities, create educational alliances with colleges, drive a variety of initiatives in sustainability. How To Stay Safe Avēsis is aware of fraudulent activity by individuals falsely representing themselves as Avēsis recruiters. In some instances, these individuals may even contact applicants with a job offer letter, ask applicants to make purchases (i.e., a laptop or gift cards) from a designated vendor, have applicants fill out W-2 forms, or ask that applicants ship or send packages of goods to the company. Avēsis would never make such requests to applicants at any time throughout our job application process. We also would never ask applicants for personal information, such as passport numbers, bank account numbers, or social security numbers, during our process. Our recruitment process takes place by phone and via trusted business communication platform (i.e., Zoom, Webex, Microsoft Teams, etc.). Any emails from Avēsis recruiters will come from a verified email address ending in @ Avēsiscom. We urge all applicants to exercise caution. If something feels off about your interactions, we encourage you to suspend or cease communications. If you are unsure of the legitimacy of a communication you have received, please reach out to ********************. To learn more about protecting yourself from fraudulent activity, please refer to this article link (************************************************** If you believe you were a victim of fraudulent activity, please contact your local authorities or file a complaint (Link: ******************************* with the Federal Trade Commission. Avēsis is not responsible for any claims, losses, damages, or expenses resulting from unaffiliated individuals of the company or their fraudulent activity. Equal Employment Opportunity At Avēsis, We See You. We celebrate differences and are building a culture of inclusivity and diversity. We are proud to be an Equal Employment Opportunity employer that considers all qualified applicants and does not discriminate against any person based on ancestry, age, citizenship, color, creed, disability, familial status, gender, gender expression, gender identity, marital status, military or veteran status, national origin, race, religion, sexual orientation, or any other characteristic. At Avēsis, we believe that, to operate at the peak of excellence, our workforce needs to represent a rich mixture of diverse people, all focused on providing a world-class experience for our clients. We focus on recruiting, training and retaining those individuals that share similar goals. Come Dare to be Different at Avēsis, where We See You!

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: As a Data Scientist, you will apply your strategic and analytical skills to build monitoring solutions to combat money laundering. This job will lead development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements, analyze and derive insights from large volumes of data, implement monitoring solutions in a fast-paced environment while driving best practices in data science, ensuring data quality. Job Description: Essential Responsibilities: Lead the development and implementation of advanced data science models. Collaborate with stakeholders to understand requirements. Drive best practices in data science. Ensure data quality and integrity in all processes. Mentor and guide junior data scientists. Stay updated with the latest trends in data science. Minimum Qualifications: Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. Preferred Qualification: Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal's 305 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying, or getting paid. Available in more than two hundred markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than one hundred currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies. PayPal is committed to combating Money Laundering, Terrorism Financing, and related financial crimes around the world. The Global Financial Crimes (GFC) organization is comprised of specialized teams dedicated to developing and implementing effective policies, advanced analytics and thorough investigative processes that consider the risks posed by PayPal's products, customers, transaction volumes and jurisdictions in which PayPal operates. The GFC Analytics organization is looking for an incredibly talented, self-motivated and analytical individual to join the Detections & Oversight Team. This person will be responsible for development of AML and Brand Risk Management (BRM) transaction monitoring rules to provide risk coverage, as well as tuning and optimization of transaction monitoring rules to improve efficiency and effectiveness of the rules, thereby supporting the Global Anti-Money Laundering/Counter Terrorist Financing (AML /CTF) policy, BRM policy to detect Acceptable Use Policy (AUP) violations, and other GFC strategic initiatives. The successful candidate will possess deep expertise in data and statistical analysis techniques, as well as GFC policies and understanding of global AML regulations. Job Requirements. Minimum of three years of experience in the field of AML transaction monitoring, fraud detection, and AML/CFT Minimum of two years of experience working with development, tuning and optimization of AML transaction monitoring rules and reports, by leveraging data and statistical analysis techniques to derive thresholds, identify outliers and utilize statistical sampling techniques to facilitate above-the-line and below-the-line testing Thorough understanding of AML typologies, as well as transaction monitoring processes used to mitigate these risk typologies Good understanding of transaction monitoring systems - custom built or vendor systems such as Oracle Mantas, Actimize etc. - and the standard monitoring rules/scenarios offered Strong research and analytical skills, business acumen, strategic and creative thinking, project leadership skills and multi-tasking capabilities Strong SQL skills using tools like Teradata, MS SQL, MySQL, Hadoop, Big Query Experience in building and developing models, queries, or software to analyze and visualize data using tools such as Tableau Ability to analyze large sets of complex data, draw meaningful conclusions, and make business recommendations based on analysis Strong written and oral communication skills, with the ability to communicate to all levels of the business Self-driver with the ability to work with a cross-functional team Ability to work in multiple projects simultaneously in a fast-paced and dynamic financial services environment Experience in developing documentation that meets the highest regulatory standards and audit requirements Prepare reports and updates to senior management regarding the above activities Structure and refine analysis with the goal of distilling insights from the data Excellent communication skills, both written and verbal Exceptional interpersonal and communication skills, in dealing with people at all levels of the organization Intellectual curiosity, passion for problem-solving, and comfort with ambiguity Ability to take initiative and execute against key projects independently Ability to thrive in a cross-functional environment while juggling multiple responsibilities Strong SQL skills using tools like Teradata, MS SQL, MySQL, Hadoop, Big Query Experience in distilling and presenting complex quantitative analysis to business users High energy and a desire to work in a results-oriented, fast growth environment A passion for understanding and serving the unique community of PayPal Subsidiary: PayPal Travel Percent: 0 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit ************************************ For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit ******************************* Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at ****************************************. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. Senior Data Scientist The Data Science and Analytics organization at http://realtor.com sits at the heart of our mission. We process and analyze terabytes of data every day that enable decisions for millions of home buyers, sellers, renters, dreamers, and real estate professionals. Our goal is to use this data to make the home buying experience a breeze for our consumers. We empower them with the most up-to-date information on properties, help them find their dream homes in the least amount of time, and match them with the most suitable realtor to meet their unique, individual needs. Role Description We are seeking a Senior Data Scientist with a strong background in experimentation, media analytics, and cross-functional stakeholder support to join our Client Analytics team. In this role, you will analyze large-scale product and media experiments, consolidate and rebuild business-critical metrics, and deliver clear recommendations that inform high-impact decisions across product, media, and finance. The ideal candidate is a detail-oriented executor who thrives on repeatable analytics, enjoys collaborating with partners in product and media, and brings expertise in Python, SQL, and Amplitude (or similar analytics platforms). Responsibilities Partner with business stakeholders to translate experiment questions and business needs into actionable analytics, providing timely and accurate answers on A/B test outcomes, media impact, and product changes. Analyze and report on dozens of product and media experiments each quarter, using Python (pandas, numpy, scipy), SQL, and Excel to clean, aggregate, and interpret data from sources such as Google Ad Manager and Amplitude. Apply standard statistical testing ( e.g. t-tests) to assess significance and produce clear, actionable recommendations (including “no effect” findings) for product, media, and business teams. Set up, monitor, and analyze live experiments in Amplitude or similar product analytics platforms, ensuring correct instrumentation, sample assignment, and data quality. Lead metric consolidation and calculation projects joining multiple data sources and building SQL pipelines for executive-ready business metrics. Document methodologies, assumptions, and recommendations clearly for both technical and non-technical audiences. Respond to ad hoc and recurring requests for experiment analysis, media reporting, and metric deep-dives with precision, speed, and reliability. Balance high experiment throughput with ad hoc media reporting, regularly prioritizing work across multiple stakeholders. Foster a culture of accountability and transparency by ensuring reproducibility, traceability, and clear code documentation in all analytics work. Minimum Qualifications Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience Degree in a quantitative field ( e.g. , Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science). Relevant experience as a Data Scientist, Data Analyst, Product Analyst, or similar role, using SQL and Python (pandas, numpy, scipy). Proven track record managing and delivering on high-volume experimentation, media analytics, or product analytics projects with multiple stakeholders. Experience with Amplitude, Mixpanel, or similar product analytics platforms. Strong SQL skills, including experience building and joining complex pipelines; ability to handle large, messy, multi-source data. Proficient in Excel/Google Sheets for quick reporting and ad hoc analysis. Sound understanding of statistical methods for experimentation (randomization, t-tests, confidence intervals, etc.). Excellent written and verbal communication skills, with experience presenting to diverse technical and business audiences. Self-motivated and self-managing, with strong time management, documentation, and organizational skills. Preferred Qualifications Master's or Ph.D. degree in a quantitative field ( e.g. , Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science). Experience in ad tech, media analytics, or digital advertising environments. Familiarity with revenue or monetization analytics. Experience with dashboarding tools ( e.g. , Tableau, Looker). Exposure to real estate, marketplace, or consumer product analytics. Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com , you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

Responsibilities Analyze and parse our product and process data for optimization, control and monitoring Implement AI/ML methodology to build models allowing process design, control and optimization Qualifications PhD in data science, data engineering, computer science or another related technical field Alternatively, a master's degree in the above with 4+ years of relevant work experience Skills Specific experience in developing custom ML algorithms and models Experience in small and large datasets Proficiency in Python, C++ considered an advantage Experience in delivering impact using statistical analysis, predictive modeling, and machine learning Knowledge of data implementation and pulling datasets Experience in major ML/AI algorithms and techniques such as, but not limited to, LLM's, neural networks, (un)supervised learning, SVM's End-to-end experience in building models - including, but not limited to model optimization, A/B testing, and experimental design Strong communication with technical and non-technical stakeholders Strong teamwork skills

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. Senior Data Scientist The Data Science and Analytics organization at ****************** sits at the heart of our mission. We process and analyze terabytes of data every day that enable decisions for millions of home buyers, sellers, renters, dreamers, and real estate professionals. Our goal is to use this data to make the home buying experience a breeze for our consumers. We empower them with the most up-to-date information on properties, help them find their dream homes in the least amount of time, and match them with the most suitable realtor to meet their unique, individual needs. Role Description We are seeking a Senior Data Scientist with a strong background in experimentation, media analytics, and cross-functional stakeholder support to join our Client Analytics team. In this role, you will analyze large-scale product and media experiments, consolidate and rebuild business-critical metrics, and deliver clear recommendations that inform high-impact decisions across product, media, and finance. The ideal candidate is a detail-oriented executor who thrives on repeatable analytics, enjoys collaborating with partners in product and media, and brings expertise in Python, SQL, and Amplitude (or similar analytics platforms). Responsibilities * Partner with business stakeholders to translate experiment questions and business needs into actionable analytics, providing timely and accurate answers on A/B test outcomes, media impact, and product changes. * Analyze and report on dozens of product and media experiments each quarter, using Python (pandas, numpy, scipy), SQL, and Excel to clean, aggregate, and interpret data from sources such as Google Ad Manager and Amplitude. * Apply standard statistical testing (e.g. t-tests) to assess significance and produce clear, actionable recommendations (including "no effect" findings) for product, media, and business teams. * Set up, monitor, and analyze live experiments in Amplitude or similar product analytics platforms, ensuring correct instrumentation, sample assignment, and data quality. * Lead metric consolidation and calculation projects joining multiple data sources and building SQL pipelines for executive-ready business metrics. * Document methodologies, assumptions, and recommendations clearly for both technical and non-technical audiences. * Respond to ad hoc and recurring requests for experiment analysis, media reporting, and metric deep-dives with precision, speed, and reliability. * Balance high experiment throughput with ad hoc media reporting, regularly prioritizing work across multiple stakeholders. * Foster a culture of accountability and transparency by ensuring reproducibility, traceability, and clear code documentation in all analytics work. Minimum Qualifications * Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience * Degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science). * Relevant experience as a Data Scientist, Data Analyst, Product Analyst, or similar role, using SQL and Python (pandas, numpy, scipy). * Proven track record managing and delivering on high-volume experimentation, media analytics, or product analytics projects with multiple stakeholders. * Experience with Amplitude, Mixpanel, or similar product analytics platforms. * Strong SQL skills, including experience building and joining complex pipelines; ability to handle large, messy, multi-source data. * Proficient in Excel/Google Sheets for quick reporting and ad hoc analysis. * Sound understanding of statistical methods for experimentation (randomization, t-tests, confidence intervals, etc.). * Excellent written and verbal communication skills, with experience presenting to diverse technical and business audiences. * Self-motivated and self-managing, with strong time management, documentation, and organizational skills. Preferred Qualifications * Master's or Ph.D. degree in a quantitative field (e.g., Statistics, Data Science, Applied Mathematics, Economics, Engineering, Computer Science). * Experience in ad tech, media analytics, or digital advertising environments. * Familiarity with revenue or monetization analytics. * Experience with dashboarding tools (e.g., Tableau, Looker). * Exposure to real estate, marketplace, or consumer product analytics. Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

**This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], you are expected to report to that location three times a week, at minimum** . **The Role** The Senior Data Scientist is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in Media Mix Modeling (MMM), with hands-on experience developing custom econometrics and statistical models that quantify media impacts and optimize market investment. The Data Scientist has expertise in the economics of media channels (e.g., Linear/Addressable TV, Online Display, Paid Search, Social), measurement of ROAS lift, coordination of media tactics (sequencing/ frequency caps), and insourcing of off-the-shelf MMM solutions. This person will work closely with GM brand stakeholders to ensure business acceptance of proposed methods, objective performance evaluation, and effective media activation that drives sales. This person will be responsible for developing Media Mix Models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Fully qualified individual contributor who has knowledge and understanding of all aspects of a function and exercises independent discretion and judgment on significant matters based on professional knowledge. Level most professionals can expect to achieve in their career. EXPERTISE + Recognized as a fully qualified, experienced professional. Has complete knowledge and full understanding of own area and broad knowledge of related areas. + Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation. Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies. + Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems. + Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience. COMPLEXITY + Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution. + Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns. + Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences. SCOPE AND IMPACT + Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points. + Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches. + Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues. + Has significant operational impact across their function. **What You'll Do** + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement. + Deep knowledge of marketing media modeling techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms. + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive. + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff. **Your Skills & Abilities (Required Qualifications)** + Minimum five years of experience developing, deploying, and monitoring performance of media mix or related models + Proficient writing Python/R (modeling) and SQL/Spark (data), working with PYMC, StatsModels, Spark/ML, sklearn, numpy and related packages + Desired expertise media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, item response theory, latent class regression + Prior experience with paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Advanced degree (M.A./Ph.D. preferred) in Marketing Data Science, Econometrics, Operations Research, Psychometrics, Finance, (Bio) Statistics, or another quantitative field This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: + The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

JobID: 210686904 JobSchedule: Full time JobShift: Day : Join a powerhouse team at the forefront of Home Lending Data & Analytics, where we partner with Product, Marketing, and Sales to solve the most urgent and complex business challenges. Our team thrives in a fast-paced, matrixed environment, driving transformative impact through bold analytics and innovative data science solutions. We are relentless in our pursuit of actionable insights, seamlessly engaging with stakeholders and redefining what's possible through strategic collaboration and visionary problem solving. If you're ready to shape the future of home lending with breakthrough ideas and data-driven leadership, this is the team for you. We are seeking a senior Data Scientist Lead to join our Home Lending Data & Analytics team, supporting Originations Product Team. This strategic role requires a visionary leader with a consulting background who excels at translating complex data into actionable business insights. The ideal candidate will be a recognized thought leader, demonstrating exceptional critical thinking and problem-solving skills, and a proven ability to craft and deliver compelling data-driven stories that influence decision-making at all levels. Success in this role requires not only technical expertise, but also the ability to inspire others, drive innovation, and communicate insights in a way that resonates with both technical and non-technical audiences. Key Responsibilities: * Identify, quantify, and solve obstacles to business goals using advanced business analysis and data science skillsets. * Recognize and communicate meaningful trends and patterns in data, delivering clear, compelling narratives to drive business decisions. * Serve as a data expert and consultant to the predictive modeling team, identifying and validating data sources. * Advise business and technology partners on data-driven opportunities to increase efficiency and improve customer experience. * Proactively interface with, and gather information from, other areas of the business (Operations, Technology, Finance, Marketing). * Extract and analyze data from various sources and technologies using complex SQL queries. * Summarize discoveries with solid data support and quick turnaround, tailoring messages for technical and non-technical audiences. * Influence upward and downward-mentor junior team members and interface with business leaders to drive strategic initiatives. * Foster a culture of innovation, attention to detail, and results within the team. Qualifications: * 6+ years of experience in business strategy, analytics, or data science. * 2+ years of experience in business management consulting. * Strong experience with SQL (query/procedure writing). * Proficiency in at least one versatile, cross-technology tool/language: Python, SAS, R, or Alteryx. * Demonstrated ability to craft compelling stories from data and present insights that influence decision-making. * Clear and succinct written and verbal communication skills, able to frame and present messages for different audiences. * Critical and analytical thinking, with the ability to maintain detail focus and retain big picture perspective. * Strong Microsoft Excel skills. * Ability to work independently, manage shifting priorities and projects, and thrive in a fast-paced, competitive environment. * Excellent interpersonal skills to work effectively with a variety of individuals, departments, and organizations. * Experience mentoring or leading teams is highly desirable. Preferred Background: * Experience in Mortgage Banking or Financial Services industry preferred. * Previous experience in consulting, with exposure to a variety of industries and business challenges. * Track record of successful stakeholder engagement and change management. * Recognized as a thought leader, with experience driving strategic initiatives and innovation.