Data scientist jobs in Brentwood, TN

BUILT TO CONNECT At Astec, we believe in the power of connection and the importance of building long-lasting relationships with our employees, customers and the communities we call home. With a team more than 4,000 strong, our employees are our #1 advantage. We invest in skills training and provide opportunities for career development to help you grow along with the business. We offer programs that support physical safety, as well as benefits and resources to enhance total health and wellbeing, so you can be your best at work and at home. Our equipment is used to build the roads and infrastructure that connects us to each other and to the goods and services we use. We are an industry leader known for delivering innovative solutions that create value for our customers. As our industry evolves, we are using new technology and data like never before. We're looking for creative problem solvers to build the future with us. Connect with us today and build your career at Astec. LOCATION: Chattanooga, TN On-site / Hybrid (Role must report on-site regularly) ABOUT THE POSITION The Data Scientist will play a key role in establishing the analytical foundation of Astec Smart Services. This individual will lead efforts to build pipelines from source to cloud, define data workflows, build predictive models, and help guide the team's approach to turning data into customer value. He or she will work closely within Smart Services and cross-functionally to ensure insights are actionable and impactful. The role blends Data architecture, data engineering, and data science to help build Smart Services analytical foundation. This person will be instrumental in helping to build Astec's digital transformation and aftermarket strategy. Deliverables & Responsibilities Data Engineering: Build and maintain robust data pipelines for ingestion, transformation, and storage. Optimize ETL processes for scalability and performance. Data Architecture: Design and implement data models that support analytics and operational needs. Define standards for data governance, security, and integration. Data Science: Develop predictive models and advanced analytics to support business decisions. Apply statistical and machine learning techniques to large datasets. Strong business acumen to understand decision drivers with internal and external customers Collaborate with individuals and departments across the company to ensure insights are aligned with customer needs and drive value. To be successful in this role, your experience and competencies are: Bachelor's degree in data science, engineering, or related field. (Adv. degrees a plus.) 5+ years of experience in data science, including at least 3 years in industrial or operational environments. Strong communication and project management skills are critical. Proficiency in data pipeline tools (e.g., Spark, Airflow) and cloud platforms (Azure, AWS, GCP). Strong understanding of data modeling principles and database technologies (SQL/NoSQL). Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis. Ability to work across data architecture design and data science experimentation. Programming: Python, SQL, and optionally Scala or Java. Familiarity with distributed systems and big data technologies. Strong communication skills for translating technical insights into business value. Ability to work across technical, commercial, and customer-facing teams. Supervisor and Leadership Expectations This role will not have supervisory or managerial responsibilities. This role will have program management responsibilities. Our Culture and Values Employees that become part of Astec embody the values below throughout their work. Continuous devotion to meeting the needs of our customers Honesty and integrity in all aspects of business Respect for all individuals Preserving entrepreneurial spirit and innovation Safety, quality and productivity as means to ensure success EQUAL OPPORTUNITY EMPLOYER As an Equal Opportunity Employer, Astec does not discriminate on the basis of race, creed, color, religion, gender (sex), sexual orientation, gender identity, marital status, national origin, ancestry, age, disability, citizenship status, a person's veteran status or any other characteristic protected by law or executive order.

This person is responsible for extracting insights and building predictive models from data. Analyzes curated data, builds ML models, and validates them with experiments. The DS researches and defines business problems and translates them into analytical or ML tasks. Conducts exploratory data analysis to identify patterns, correlations, and anomalies. They will be in charge of designing, training, and evaluating statistical, ML, or AI models. Works with SMEs to determine use cases, model requirements, and alternative solutions. Defines requirements and specifications from which Data Specialists build data structures. Works closely with Data Engineers and customers to ensure correct implementation. Required Experience: Bachelor's in Mathematics, OR, Business, Economics, or related field preferred. Minimum 7+ years designing and implementing mathematical and statistical models. Strong experience with Python/R, PyTorch, Scikit-Learn, Jupyter, visualization, A/B testing. SQL (Oracle, MySQL, or Hive). Oracle DB and Hadoop experience preferred. Ability to work independently and under deadlines. Strong communication and problem-solving skills. Clearance Requirement: Must be a US Citizen with an active DoD Secret security clearance.

We're seeking a Contract-to-Hire Senior Data Scientist to lead and collaborate with a multidisciplinary team in designing and developing innovative analytical products and solutions using Machine Learning, NLP, and Deep Learning. This role is ideal for someone who thrives in ambiguity, enjoys solving complex problems, and can translate business needs into measurable outcomes. What You'll Do • Partner with business leaders to understand needs and define measurable goals • Gather requirements, build project plans, manage deadlines, and communicate updates • Analyze large structured and unstructured datasets • Build, evaluate, implement, and maintain predictive models • Present results to both technical and non-technical stakeholders • Deploy models and monitor ongoing performance and data accuracy • Contribute ideas, stay current with industry trends, and support team development Lead-Level Opportunities Include: • Driving data science strategy and overseeing project delivery • Providing technical mentorship and leadership to the team • Promoting innovation and exploring emerging tech, tools, and methodologies What We're Looking For • Bachelor's degree in Applied Mathematics, Statistics, Computer Science, Data Science, or related field • 3-6 years of relevant experience (advanced degrees may reduce required experience) • Strong skills in machine learning, statistical modeling, and data analysis • Proficiency in Python or R • Experience with large datasets, preprocessing, and feature engineering • Prior management experience • Experience with transfer learning • Experience building and deploying deep learning solutions • Strong communication skills and ability to present complex concepts clearly • Experience in life insurance or a related domain is a plus • Ability to independently manage projects end-to-end Qualifications • Master's or PhD • Industry experience in similar roles • Publications or patents in data science or ML • Experience collaborating across technical and business teams • Familiarity with software engineering best practices and version control • Relevant certifications (AWS ML Specialty, Google Data Engineer, etc.) Rooted in Birmingham. Focused on You. We're a local recruiting firm based right here in Birmingham. We partner with top companies across the city-from large corporations to fast-growing startups-and we'd love to meet you for coffee to talk about your career goals. Whether you're actively searching or just exploring, we're here to guide you through the entire process- from resume tips to interview coaching. At our clients' request, only individuals with required experience will be considered. Please note - if you have recently submitted your resume to a PangeaTwo posting, your qualifications will be considered for other open opportunities. Your resume will never be submitted to a client without your prior knowledge and consent to do so.

DETAILS: EDI CONSULTANT /TRAINER Title: EDI Consultant Length: 3-6 months for first project and extensions from there, possible for multiple projects Compensation: Hourly DOE Location: Meadowbrook, AL (Birmingham) / can be remote, but need to visit on the front end a couple of weeks and as needed occasionally down the road. OVERVIEW: EDI CONSULTANT /TRAINER This individual will plan, develop, and implement the EDI operations and strategy roadmap for the organization train and mentor a small team. RESPONSIBILITIES: EDI CONSULTANT /TRAINER Manage Mapping and Administration for TrustedLink/OpenText /BizManager for iSeries/AS400 Mentor a small team of resources to assist in EDI operations. Oversees the design, development, testing, deployment, and maintenance of the EDI systems, applications, and integrations - Must be strong with TrustedLink and BizManager for iSeries. Develop and Document Specifications Monitors and evaluates the EDI system's performance, availability, security, and compliance, and initiates corrective actions as needed. Ensures that the EDI systems adhere to the industry standards, best practices, and regulatory requirements. Resolves complex EDI issues and provides technical support and guidance to the users. Establishes and maintains effective relationships with the internal and external stakeholders, such as business units, IT departments, vendors, and trading partners. MINIMUM REQUIREMENTS: EDI CONSULTANT /TRAINER Experience with AS400 / iSeries and RPG development and data files. Strong experience with OpenText, TrustedLink, and BizManager for iSeries 2+ years leadership experience training and leading a small team 10+ years of experience in EDI systems development, implementation, and management. Extensive knowledge and expertise in EDI standards, formats, protocols, and technologies, such as ANSI X12, EDIFACT, XML, AS2, FTP, VAN communication protocols etc.

S outhern Orthodontic Partners is a fast paced, entrepreneurial organization offering a premier network of orthodontic care. We provide business management expertise to our partner practices, enabling orthodontic professionals to focus on delivering the best possible care to their patients. Our partner practices benefit from our centralized support system, operational best practices, recruiting network, and marketing expertise. Our mission is to positively impact the orthodontic profession through a partnership of clinical and service excellence with the country's leading doctors. At Southern Orthodontic Partners we heavily rely on our data from our practices to not only track progress toward operational objectives, but to also provide insight to allow for strategic and timely decisions related to the operations of the business. We are seeking a skilled Data Analyst with strong SQL development capabilities and hands-on experience in data engineering workflows. This role combines analytical expertise with technical proficiency in data transformation, pipeline management, and business intelligence tools. The ideal candidate will bridge the gap between data engineering and analytics, ensuring reliable data flows while delivering actionable insights. In this role you will: Build and maintain data pipelines using Azure Data Factory, Python, and other ETL tools Monitor data ingestion processes and troubleshoot issues proactively to ensure data availability Design, develop, and optimize SQL queries to extract, transform, and analyze large datasets Perform ad hoc analysis to support business questions and operational needs Collaborate with data engineers and business stakeholders to understand requirements and deliver solutions Document data workflows, transformations, and troubleshooting procedures Ensure data quality through validation, testing, and monitoring procedures Create visualizations and reports using Power BI, Tableau, or similar tools Support data warehouse development and maintenance as needed. Technical Skills: SQL Development: Intermediate to advanced proficiency in SQL for complex querying, performance optimization, and database management Data Transformation & ETL: Hands-on experience managing data load and transformation processes using: Python for data manipulation and scripting Azure Data Factory for orchestrating data pipelines Other industry-standard ETL/ELT tools and frameworks API Integration: Practical experience working with REST APIs, including: Consuming data from external APIs using authentication methods (OAuth, API keys, tokens) Pushing data to external systems via API endpoints Handling API pagination, rate limiting, and error responses Building automated data workflows that leverage APIs for data ingestion and distribution Problem-Solving: Demonstrated ability to perform ad hoc querying and troubleshoot data ingestion issues with minimal guidance Data Quality: Experience validating data integrity and implementing error handling procedures Core Competencies: Strong analytical and problem-solving mindset Ability to work independently on technical troubleshooting Effective communication skills for documenting processes and collaborating with stakeholders Attention to detail in data validation and quality assurance Preferred Job Skills: Highly Desired: Experience with Databricks for big data processing and analytics Proficiency in Azure Data Factory for cloud-based data integration Business intelligence expertise using Power BI and/or Tableau for visualization and reporting

Role: Data Engineer (Builder) Duration: Contract to Hire Visa: USC or GC Only Experience Needed 5-7 years in data engineering or database development. Hands‑on experience with SQL Server ETL/ELT pipelines. Experience integrating pipelines with cloud services (AWS Glue, Azure Data Factory, GCP Dataflow). Familiarity with streaming technologies (Kafka, Kinesis). Experience in data modeling and architecture design. Proficiency in Python/Scala/Java programming for pipeline development. Exposure to DevOps automation (Terraform, Ansible) and containerization (Docker, Kubernetes). DevOps and automation maturity with certifications (HashiCorp Terraform Associate, AWS DevOps Engineer) and containerization (Docker, Kubernetes). Preferred: Advanced programming depth with applied coursework or certifications (Python Institute PCPP, Scala Professional Certification). Preferred: Data modeling specialization with advanced coursework or vendor‑specific training (Snowflake, AWS Big Data Specialty). Education Bachelor's degree in Computer Science, Software Engineering, or related technical field. Certifications (Preferred) AWS Certified Data Engineer Azure Data Engineer Associate Google Professional Data Engineer Software Use SQL Server (ETL/ELT pipelines, stored procedures). Orchestration tools (Airflow, DBT). Cloud integration services (AWS Glue, Azure Data Factory, GCP Dataflow). Observability tools (OpenLineage, Monte Carlo). DevOps automation tools (Terraform, Ansible). Containerization platforms (Docker, Kubernetes).

Minimum 10+ years of experience in data engineering. Experience with any one ETL/ELT development Tool viz. Matillion/Nexla/Airflow/Azure, Webjob/ADF, or any other leading ETL tool is preferred. Extensive experience with data ingestion, reporting, and analytics for structured and semi-structured data from various cloud platforms like Azure, AWS, or GCP. Experience working with REST and SOAP-based APIs, and various file formats like CSV, PSV, JSON, or XML to extract data for data pipelines. Knowledge of the Retail/E-commerce domain is highly preferred. Collaborate with cross-functional teams to design and implement data pipelines. Understand the business objectives of the customers and translate their explicit and implicit requirements into optimal, scalable, high-performance Cloud DW solutions. Must possess excellent programming skills with SQL. Experience using Code/Version management tools like GitHub, and TFS in a continuous integration/continuous delivery (CI/CD) environment is preferred. Communicates effectively with business stakeholders and architects. Experience in Agile/Scrum/Scaled Agile application development using Jira, MS Project, or any other project management tool. Collaborate with business stakeholders to gather requirements and create comprehensive technical solutions and documentation.

Ignite is an ISO 9001:2015 and CMMI Services Level 3 certified, Service-Disabled Veteran-Owned Small Business (SDVOSB), headquartered in Huntsville, AL. By design, Ignite is a provider of professional services to customers in educational, federal, and commercial industries and in every action seeks to be the preeminent provider within this business space. Ignite upholds our values of competency, collaboration, innovation, reliability, and results through everything we do. Ignite is currently seeking a driven, detail-oriented Data Scientist to join our team supporting the Space Force Concepts and Technology Delta and Space Warfighter Analysis Center in Colorado Springs, Co. This position can be filled in either Colorado Springs, CO or Huntsville, AL. In this role you will develop and utilize data analysis tools to create complex data sets for evaluating the future of warfare in space. Job Requirements Responsibilities include, but are not limited to: * Development of models and simulation runs for logistics analysis. * Development of software tools for data ingestion, storage, processing and analysis. * Development of advanced Machine Learning (ML) and Artificial Intelligence (AI) architectures and use cases in support of customer needs. * Development of presentation materials and demonstrations for internal and external stakeholders. * Development of Open-Source Intelligence tools * Development of advanced visualizations for data and network analyses Job Requirements and Qualifications: * One to five years of experience in data science or related field. * Strong Python knowledge and familiarity * Experience using FastAPI and ETL pipelines * Experience with ReactJS /JavaScript * Git/GitLab experience with version control * Data visualization using Matplotlib/Seaborn * OSINT Tooling (Playwright/BeautifulSoup) * Familiarity with MongoDB or other NoSQL schema * Microsoft Office skills * Basic professionalism Security Clearance Requirements: Must have an active Secret Security Clearance or the ability to obtain one. Top Secret Clearance is a plus. Education Requirements: * Bachelor's of Science or Masters of Science in Data Science, Data Engineering, Statistics, Software Engineer, Artificial Intelligence or a related field. Other Requirements: Must be a US citizen and be able to obtain and hold an active Security Clearance Salary Range: $90k - $140k We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law. Accommodation Request: If you are a qualified individual with a disability or are a disabled veteran and are unable or limited in your ability to use or access our Careers sites as a result of your disability, you have the right to receive assistance in completing the application process. Please send your request to **********************

For more than 30 years, ERC has been delivering the advantage needed to solve our customers' and the nation's toughest challenges. ERC is a trusted partner to the Defense and Space communities. We provide the advanced engineering, innovative technology, and subject-matter expertise to deliver the mission results our customers need to keep the nation safe and secure. Our unique solutions enhance readiness, optimize performance, and help ensure success in the air, on the ground and in space. An essential part of our success is our corporate culture built on respect, empowerment, and collaboration. Our culture elevates our people, ensuring they provide best-in-class service and solutions to our customers. We always strive to do the right thing. We believe that are our people are our best asset and human connection our greatest strength. Check us out on ERC.US Your role: In your role as a Data Scientist, you will use statistical techniques to plan tests and analyze and interpret data. Data Scientists are expected to use statistical techniques to help test teams make better decisions and improve their operations. What you'll do all day: BWork directly with test team and data engineers to develop tests and gather test insights using statistical methods and techniques. Use data science tools to improve data reliability, efficiency, and quality. Responsible for planning tests to meet statistical requirements, developing Extract, Transform, Load (ETL) pipelines for data, and performing statistical analysis of test data Responsible for leading the development of statistically valid test procedures, data collection, and analysis efforts in support of Army modernization priorities to include rotary and fixed-wing flight test, distributed Live, Virtual, and Constructive testing, missile flight test, and sensor testing May be required to attain a Class III flight physical to support experimental flight test in rotary wing and fixed wing flight test, as well as attain explosive handling certification in support of missile flight test requirements. You will love this job if you: Are a self-starter and require little oversight to complete given tasks? Enjoy a fast-paced work environment. Love working with diverse groups of individuals, including engineers and technicians. Are good at communicating with people. Have a positive attitude. Enjoy multitasking. Minimum requirements for this position: Minimum 4-year degree in Computer Science, Statistics, Mathematics, Data Science, Computer Engineering, or similar field. Deep knowledge of common programming languages (Python, R, Julia), data science packages and frameworks (Pandas, NumPy, Scikit-learn, tidyr, tidyverse). Background working with common data visualization tools (PowerBI, Tableau, etc.) and data visualization packages (Matplotlib, ggplot2, etc.) Working Knowledge of data pipeline and ETL tools (Apache Airflow, Databricks, Apache NiFi, Azure Data Factory, etc.) Understanding of statistics and probability (Probability distributions, Bayesian and frequentist statistics, etc.) Knowledge of common data database technologies (SQL and NoSQL databases, data lakes, data mesh, and data fabric). Ability to prepare, analyze, and effectively communicate the findings of data analysis to customers, RTC leadership, and outside stakeholders. Strong written/verbal communication skills. Must be able to obtain and maintain a Secret Clearance (U.S. Citizenship is required for all applicants) What we offer: Competitive salaries. Continuing education assistance. Professional development allotment. Multiple healthcare benefit packages. 401K with employer matching. Paid time off (PTO) along with federally recognized holiday schedule.

Develops and applies interdisciplinary methods, algorithms, statistics, and research techniques in the development of data driven solutions to extract knowledge, provide insights, and present information from data in various structures and unstructured forms. Principal Duties and Responsibilities (*Essential functions) Performs analysis of data systems, such as Big Data systems * May perform statistical analysis and provide input for reports and dashboards Involved with the development of data products, reports, and dashboards or other display techniques* Evaluates data, algorithms, and their interaction to improve algorithm performance* May apply advanced statistics, including natural language processing and machine learning to create solutions. May assist in data modeling and data virtualization May write code to preprocess and clean data At COLSA, people are our most valuable resource and centered at our core value. We invite you to unite your talents with opportunity and be a part of our “Family of Professionals!” Learn about our employee-centric culture and benefits here.

We are seeking a highly skilled and innovative Senior Data Scientist to design advanced analytical solutions that drive strategic decision-making and business performance. This role will serve as a key contributor in shaping data strategy, developing predictive models, and delivering actionable insights that influence product, engineering, and business initiatives. Top candidates will bring deep expertise in statistical modeling, machine learning, data mining, and large-scale analytics-paired with the ability to translate complex findings into clear, meaningful outcomes for stakeholders. This is an excellent opportunity for a motivated data scientist who thrives in dynamic, research-oriented environments and enjoys building impactful data-driven solutions. Core Responsibilities: * Lead data strategy efforts by identifying, evaluating, and integrating new datasets to enhance product capabilities. * Partner closely with engineering, product, and design teams to understand business needs and build scalable data solutions. * Develop, test, and refine statistical and machine learning models to support predictive analytics and operational improvements. * Source, collect, and preprocess structured and unstructured datasets for modeling and experimentation. * Conduct exploratory data analysis to uncover trends, patterns, and opportunities that align with business priorities. * Build algorithms for large-scale data mining, including model validation, optimization, and error analysis. * Deploy models into production environments in partnership with software developers and ML engineers. * Communicate insights and recommendations clearly to technical and non-technical stakeholders. * Stay current with emerging tools, technologies, and best practices in data science and AI/ML. Required Skills/Education: * 7+ years of experience in data science, machine learning, or advanced analytics. * Strong expertise in statistical analysis, data mining, pattern recognition, and predictive modeling. * Proficiency in SQL, Python, Java, SAS, and data visualization tools such as Tableau and Excel. * Experience designing, validating, and deploying analytical or ML models in production environments. * Ability to manage multiple projects in a fast-paced, research-focused environment. * Excellent communication skills with the ability to simplify complex concepts for diverse audiences. Preferred Qualifications: * Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or a related field (or equivalent experience). * 2+ years of project management or technical leadership experience. * Professional certifications in data science, machine learning, cloud technologies, or related areas. * Experience with big data platforms (Spark, Hadoop) or cloud ML tools (AWS, Azure, GCP). About Seneca Resources At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact. When you work with Seneca, you're choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way. Seneca Resources is proud to be an Equal Opportunity Employer, committed to fostering a diverse and inclusive workplace where all qualified individuals are encouraged to apply.

Hi, I hope you are doing good. I have a job opportunity related to your profile with one of our client, please find below Job Description for your review. If you are interested and available for the following position then please send your updated resume in word format along with your contact details to discuss further. Role: Sr. Data Scientist Duration: Full Time / Permanent Location: Memphis, TN Required Skills: Overall Responsibilities: Senior data scientist. Research various analytical approaches Recommend and develop mathematical algorithms for related business problems Communicate and direct development teams on implementation of statistical models Interface with Business users and gather feedback on delivered analytical data. Deploy solutions on to big data platforms Functional Responsibilities: Specific tasks include but are not limited to: Work on one of following initiatives within Predictive Client Analytics group: RFM recommendations, CCAR and other projects TBD Validation of analytical approaches produced by vendor and 3rd party consulting teams Developing data validation methods Required Skills: Technical / Analytical Skills: Excellent understanding and experience with application of machine learning concepts and techniques (linear/logistic regression, clustering, classification, PCA, Naive Bayes, association rules, Collaborative Filtering, recommendation techniques etc.) Experience with regression techniques for modeling the relationship between an output variable and several input variables Experience with Big Data technologies Experience with visualization tools like Tableau Experience creating interface specification documents, attribute mapping documents, functional specifications Experience with web scraping Experience with Text Matching applications Nice to have: Understanding of regulatory guidelines (CCAR, Basel) around Model Risk Management Working knowledge of various Fixed Income and Equities products, for example Derivatives, FX and Cash Equities Essential Skills Strong verbal and written communication skills Strong research skills Python, R, SQL, Hive, Spark Statistical analysis: To understand and work around possible limitations in models Being able to develop hypothesis and test the Hypothesis with careful experiments Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas Should have experience with time series modeling Should have experience with optimization approaches Familiarity with the Big Data Ecosystem tools: Hadoop, Hive, Impala, Mahout, Spark(Spark SQL, MLLib),Hbase and be comfortable with the using the tools Strong experience in data manipulation using SQL on Hive/Impala or other Databases Experience in developing and deploying model with Mahout, Spark MLLib is preferable. Must be proficient in programming either R/Python/Scala. Should have experience in Financial services industry -Capital market would be preferable Should have exposure to Data Visualization tools: Tableu(Preferable)/Qlickview/Excel Additional Information All your information will be kept confidential according to EEO guidelines.

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 (***************************************************************************************************************************

DPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects. Responsibilities * Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. * Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. * Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. * Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. * Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. * Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. * Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. * Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. * Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. * Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. * Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. * Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 7+ years of experience in data science roles within AEC, product or technology organizations. * At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. * Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). * Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). * Solid understanding of statistical methods, predictive modeling, and optimization techniques. * Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. * Proven experience designing and interpreting experiments and making statistically sound recommendations. * Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. * Ability to build relationships with diverse stakeholders and cultivate strong partnerships. * Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. * Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. * Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills * Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. * Hands-on experience with Generative AI tools and libraries. * Background in experimentation infrastructure or human-AI interaction systems. * Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers. Join HCSC and be part of a purpose-driven company that will invest in your professional development. **Job Summary** This position is responsible for managing the implementation, maintenance and critical review and analysis of models, studies and systems which use actuarial principles for the purposes of pricing, underwriting, statistics, reserving, forecasting and other actuarial functions; developing complicated models and teaching others how to develop models. Developing written and oral presentations that drive the delivery of information for decision making; and managing day-to day projects that may include non-actuarial departments. Must also possess and demonstrate a deep understanding of one actuarial area or business segment. **Required Job Qualifications:** *Bachelor degree in Actuarial Science, Mathematics, Statistics or Economics. Other Bachelor (or higher) Degrees may be considered. *Associate of the Society of Actuaries (ASA) and Membership in the American Academy of Actuaries (MAAA). Compliance with the membership requirements for each professional designation. *At least 4 years of actuarial experience in the health insurance or related field. *Verbal and written communications skills to prepare effective documentation, facilitate training and development, and participate in presentations. *PC proficiency to include Word and Excel. **Preferred Job Qualifications:** *Access, SQL, Visual Basic or other programming skills. Please note that this role is **HYBRID** with an in-office requirement of 3 days a week. \#LI-LK1 \#LI-Hybrid \#INJLF **Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!** **Pay Transparency Statement:** At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting ************************************* . The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan. **HCSC Employment Statement:** We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics. **Base Pay Range** $90,900.00 - $164,200.00 Exact compensation may vary based on skills, experience, and location. **Join our talent community and receive the latest HCSC news, content, and be first in line for new job opportunities.** **Join our Talent Community. (******************************************** PA8v\_eHgqFiDb2AuRTqQ)** For more than 80 years, HCSC has been dedicated to expanding access to high-quality, cost-effective health care and equipping our members with information and tools to make the best health care decisions for themselves and their families. As an industry leader, HCSC also has been helping to make the health care system work better for all Americans. To remain a leader, we offer compelling careers that encourage resourcefulness, strategic thought and empower you to make a difference in the lives of our members and their communities. Today, with the industry at an important crossroad, HCSC is reimagining health care and looking for original thinkers who aren't afraid to make innovative contributions. We are an Equal Opportunity Employment employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Learn more about HCSC, our commitment to our members and the opportunity you'll have to improve health care delivery in an open, collaborative environment. HCSC is committed to diversity in the workplace and to providing equal opportunity to employees and applicants. If you are an individual with a disability or a disabled veteran and need an accommodation or assistance in either using the Careers website or completing the application process, you can call us at ************** to request reasonable accommodations. Please note that only **requests for accommodations in the application process** will be returned. All applications, including resumes, must be submitted through HCSC's Career website on-line application process. If you have general questions regarding the status of an existing application, navigate to "candidate home" to view your job submissions. Blue Cross and Blue Shield of Illinois, Blue Cross and Blue Shield of Montana, Blue Cross and Blue Shield of New Mexico, Blue Cross and Blue Shield of Oklahoma, and Blue Cross and Blue Shield of Texas, Divisions of Health Care Service Corporation, a Mutual Legal Reserve Company, and Independent Licensee of the Blue Cross and Blue Shield Association © Copyright 2025 Health Care Service Corporation. All Rights Reserved.

What We Need Corpay is currently looking to hire a Data Onboarding Consultant within our Implementations division. This position falls under our Corporate Payments line of business based out of our Brentwood, TN location. In this role, you will manage critical data activities for Corpay's clients to ensure successful implementation and ongoing client success. This position combines client-facing and internal technical responsibilities. The ideal candidate is one that enjoys working with clients to assist them in navigating complex data landscapes, is analytical in nature allowing them to understand non-uniform data sets from various sources, can drive project success by creating deadlines and holding both internal and external parties accountable to performance, and can balance competing priorities to ensure ultimate success. The ideal candidate is a problem solver, a great communicator, and most importantly takes ownership of their projects and drives them to success. You will report directly to the Manager of Technical Implementations. How We Work As a Data Onboarding Consultant you will be expected to work out of our Brentwood, TN office location. Corpay will set you up for success by providing: Company-issued equipment Assigned workspace in our Brentwood office Formal, hands-on training Role Responsibilities The responsibilities of the role will include: This is a customer-facing role that will serve as the primary point of client contact for all data services from the sales process through implementation Work with clients and internal partners to obtain and validate data to be used in data services Analyze client data and present findings to improve the results of the data being ingested Utilize data cleaning and mapping tools to ingest data into the application Coordinate the scoping, prioritization, delivery, and, where applicable, ongoing maintenance of client data services (one-time data import, ongoing data integrations) First line of defense for triaging issues related to data imports/data integrations Work with clients and internal stakeholders to maintain a prioritized queue of data services deliverables Contribute to the overall strategy for Implementations Qualifications & Skills 2 - 5 years' experience in managing or working with data (training/education counts) Comfortable communicating complex information in simple terms Experience managing projects Experience working with large, non-uniform, data sets Experience working directly with clients and prospects to assess needs and define technical solutions Experience with data mapping and BI tools While this is not an engineering role, familiarity with engineering tools and practices will be greatly beneficial Benefits & Perks Medical, Dental & Vision benefits available the 1st month after hire Automatic enrollment into our 401k plan (subject to eligibility requirements) Virtual fitness classes offered company-wide Robust PTO offers including major holidays, vacation, sick, personal, & volunteer time Employee discounts with major providers (i.e. wireless, gym, car rental, etc.) Philanthropic support with both local and national organizations Fun culture with company-wide contests and prizes Equal Opportunity/Affirmative Action Employer Corpay is an Equal Opportunity Employer. Corpay provides equal employment opportunities to all qualified applicants without regard to race, color, gender (including pregnancy), religion, national origin, ancestry, disability, age, sexual orientation, gender identity or expression, marital status, language, ancestry, genetic information and/or military status or any other group status protected by federal or local law. If you require reasonable accommodation for the application and/or interview process, please notify a representative of the Human Resources Department. For more information about our commitment to equal employment opportunity and pay transparency, please click the following links: EEOC and Pay Transparency.

BluWave is an innovative market network powered by technology, data, and human ingenuity. More than 500 of the world's top private equity and venture capital firms use BluWave to connect with the very best in class third parties for their wide range of critical due diligence and value creation business needs. In Summary: we're like a Gartner Magic Quadrant meets a very high-end Yelp for private equity and VC firms and their portfolio companies, connecting them with excellent solution providers, like consulting firms, marketing agencies, independent consultants, and other expert advisors. We're a nimble and rapidly growing organization with a unique business model serving a large unmet need. We're looking for top individuals who are driven, interested in all aspects of business, eager to learn, are excited to be working with private equity and VC firms and leading consultancies, and curious enough to dive into all aspects of our business and proactively help solve our clients' challenges and opportunities. Job Description As a Data & Analytics Intern at BluWave, you will have the ability to assist large, ongoing data analytics projects that span all functional areas of our business. The ideal candidate will be a proactive, curious, intelligent, and dependable problem solver who is able to work efficiently by themselves and in collaboration with other team members without letting important details slip through the cracks. This role will be in-person in our office in Brentwood, TN. Key Responsibilities Include: Working with the Data and Technology Team to assist key business stakeholders in sales/account management, marketing, finance, and research and operations. Take on other ad hoc responsibilities as needed in a fast-growth start-up, maintaining flexibility and a can-do attitude needed as part of our collaborative team and shared mission Qualifications Build clear, actionable dashboards and visualizations in BI tools; adaptable to Sigma Computing, Tableau, and Power BI Use Excel to organize, clean, and structure data for visual storytelling Write SQL queries (aggregates, joins, CTEs) to prepare and model data for reporting Apply knowledge of relational databases and data properties to ensure accuracy and consistency in visuals Communicate insights effectively to technical and non‑technical audiences through intuitive data visuals Key Characteristics A team-oriented person who loves to win, seeks ongoing personal growth, and believes in “we” more than “me” Passion for solving problems and helping grow our business through segmenting, organizing, and analyzing data Intellectual curiosity that prompts a constant search for better and more efficient ways to achieve our goals Keen ability to ask questions, explore, understand, and diagnose a wide variety of business challenges using data and related insights Extremely well-organized, detail-oriented, and highly comfortable with multi-tasking Strong and demonstrated interpersonal and communication skills who would thrive in a team-oriented environment Ability to think long-term and help take our data analytics to the next level Additional information BluWave is a top tier destination for differentiated individuals to grow their long-term careers. We are building the best intelligent B2B marketplace in the world. BluWave encourages anyone to apply to join our team. BluWave is an inclusive workplace that considers all applicants regardless of gender, race, ethnicity, sexual orientation or identification, background, disability or status. This is a paid position with an hourly rate of $15.00. Approximately 20 hours per week. Future Opportunities for Growth: As BluWave grows, numerous opportunities for additional responsibilities and advancement will present themselves to talented, ambitious, team-oriented individuals who have proven themselves in this role. Please include your resume and a message to let us know why you would be a good fit for this position. BluWave, LP is proud to be an equal opportunity employer that is committed to inclusion and diversity. Powered by JazzHR K72n8pFpCe

Data Platform Engineer The Data Engineering team is seeking a highly skilled and experienced Data Platform Engineer with expertise in Data Engineering, Database Modeling, and modern Cloud Data Platforms. The Data Platform Engineer designs, builds, and maintains scalable and secure data infrastructure, tools, and pipelines to support data analytics, machine learning, and business intelligence initiatives. They will also work closely with other teams, such as data analysts, data scientists, and software developers, to provide them with the data they need to perform their job functions. Responsibilities * Design and implement robust, scalable, and efficient data models and pipelines across cloud-based platforms. * Develop, optimize, and maintain ETL/ELT pipelines using Azure Data Factory and Databricks. * Build and orchestrate Databricks Notebooks and Jobs using PySpark, Spark SQL, or Scala Spark. * Develop and manage data models, data warehousing solutions, and data integration architectures in Azure. * Implement Azure Functions, Azure WebApps, and Application Insights to support microservices and monitor distributed systems. * Configure and manage Databricks clusters, including autoscaling, Photon acceleration, and job orchestration. * Collaborate with cross-functional teams to support data-driven decision-making and analytics use cases. * Ensure data quality, governance, and security across the data lifecycle. * Collaborate with product managers by estimating technical tasks and deliverables. * Uphold the mission and values of Monogram Health in all aspects of your role and activities. Position Requirements * A bachelor's degree in computer science, data science, software engineering or related field. * Minimum of five (5) years in designing and hands-on development in cloud-based analytics solutions, which includes a minimum of three (3) years' hands on work with big data frameworks and tools, such as Apache Kafka and Spark. * Expert level knowledge of Python or other scripting languages required. * Proficiency in SQL and other data query languages. * Understanding of data modeling and schema design principles * Ability to work with large datasets and perform data analysis * Designing and building data integration pipelines using API's and Streaming ingestion methods is desirable. * Familiarity with DevOps practices, including automation, CI/CD, and infrastructure as code (IaC). * Thorough understanding of Azure Cloud Infrastructure offerings. * Demonstrated problem-solving and troubleshooting skills. * Team player with demonstrated written and communication skills. Benefits * Comprehensive Benefits - Medical, dental, and vision insurance, employee assistance program, employer-paid and voluntary life insurance, disability insurance, plus health and flexible spending accounts * Financial & Retirement Support - Competitive compensation, 401k with employer match, and financial wellness resources * Time Off & Leave - Paid holidays, flexible vacation time/PSSL, and paid parental leave * Wellness & Growth - Work life assistance resources, physical wellness perks, mental health support, employee referral program, and BenefitHub for employee discounts Monogram Health is a leading multispecialty provider of in-home, evidence-based care for the most complex of patients who have multiple chronic conditions. Monogram health takes a comprehensive and personalized approach to a person's health, treating not only a disease, but all of the chronic conditions that are present - such as diabetes, hypertension, chronic kidney disease, heart failure, depression, COPD, and other metabolic disorders. Monogram Health employs a robust clinical team, leveraging specialists across multiple disciplines including nephrology, cardiology, endocrinology, pulmonology, behavioral health, and palliative care to diagnose and treat health issues; review and prescribe medication; provide guidance, education, and counselling on a patient's healthcare options; as well as assist with daily needs such as access to food, eating healthy, transportation, financial assistance, and more. Monogram Health is available 24 hours a day, 7 days a week, and on holidays, to support and treat patients in their home. Monogram Health's personalized and innovative treatment model is proven to dramatically improve patient outcomes and quality of life while reducing medical costs across the health care continuum.

OPPORTUNITY We are seeking an experienced Data Engineer with 2-3+ years of hands-on experience to design, build, and maintain robust data solutions within our Azure/Microsoft-centric technology stack. The ideal candidate will thrive in a collaborative yet independent work environment, delivering high-quality analytics solutions that drive business insights and decision-making. SCOPE OF WORK * Design and implement scalable data models and pipelines using modern data engineering practices * Develop and maintain production-grade analytics solutions within Azure ecosystem * Build comprehensive dashboards and reports using Power BI to support business stakeholders * Collaborate with cross-functional teams to translate business requirements into technical solutions * Optimize SQL queries and data processing workflows for performance and reliability * Support and enhance existing data infrastructure while implementing new analytics capabilities * Participate in code reviews and maintain high standards for data quality and documentation * Respond quickly to critical data issues and provide solutions under tight deadlines IDEAL CANDIDATE PROFILE Required Qualifications * 2-3+ years of experience in analytics engineering, data engineering, or similar role * Advanced SQL proficiency with experience in complex query optimization and database design * Python programming skills for data manipulation, automation, and analytics * Power BI expertise including dashboard development, DAX, and data visualization best practices * Azure cloud platform experience including Azure Data Factory, Azure SQL, and related services * Data modeling experience with dimensional modeling, star/snowflake schemas, and ETL/ELT processes * Production environment experience including deployment, monitoring, and maintenance of data systems * Strong communication skills with ability to explain technical concepts to non-technical stakeholders * Proven ability to work independently and manage multiple priorities effectively * Experience working under pressure with quick turnaround requirements Preferred Qualifications * Snowflake and/or Databricks experience with modern cloud data platforms * Private equity or financial services background - understanding of investment data, portfolio management, or financial reporting * Machine Learning experience including model development, deployment, or MLOps practices * Experience with additional Azure services (Synapse, Logic Apps, Power Platform) * Knowledge of data governance and compliance frameworks * Experience with version control (Git) and CI/CD practices * Advanced Python libraries experience (pandas, scikit-learn, etc.)