Data scientist jobs in Boca Raton, FL

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

Sr. Data Engineer CLIENT: Fortune 150 Company; Financial Services SUMMARY DESCRIPTION: The Data Engineer will serve in a strategic role designing and managing the infrastructure that supports data storage, transforming, processing, and retrieval enabling efficient data analysis and decision-making within the organization. This position is critical as part of the Database and Analytics team responsible for design, development, and implementation of complex enterprise-level data integration and consumption solutions. It requires a highly technical, self-motivated senior engineer who will work with analysts, architects, and systems engineers to develop solutions based on functional and technical specifications that meet quality and performance requirements. Must have Experience with Microsoft Fabric. PRIMARY DUTIES AND RESPONSIBILITIES: Utilize experience in ETL tools, with at least 5 years dedicated to Azure Data Factory (ADF), to design, code, implement, and manage multiple parallel data pipelines. Experience with Microsoft Fabric, Pipelines, Mirroring, and Data Flows Gen 2 usage is required. Apply a deep understanding of data warehousing concepts, including data modeling techniques like star and snowflake schemas, SCD Type 2, Change Data Feeds, Change Data Capture. Also demonstrates hands-on experience with Data Lake Gen 2, Delta Lake, Delta Parquet files, JSON files, big data storage layers, optimize and maintain big data storage using Partitioning, V-Order, Optimize, Vacuum and other techniques. Design and optimize medallion data models, warehouses, architectures, schemas, indexing, and partitioning strategies. Collaborate with Business Insights and Analytics teams to understand data requirements and optimize storage for analytical queries. Modernize databases and data warehouses and prepare them for analysis, managing for optimal performance. Design, build, manage, and optimize enterprise data pipelines ensuring efficient data flow, data integrity, and data quality throughout the process. Automate efficient data acquisition, transformation, and integration from a variety of data sources including databases, APIs, message queues, data streams, etc. Competently performs advanced data tasks with minimal supervision, including architecting advanced data solutions, leading and coaching others, and effectively partnering with stakeholders. Interface with other technical and non-technical departments and outside vendors on assigned projects. Under the direction of the IT Management, will establish standards, policies and procedures pertaining to data governance, database/data warehouse management, metadata management, security, optimization, and utilization. Ensure data security and privacy by implementing access controls, encryption, and anonymization techniques as per data governance and compliance policies. Expertise in managing schema drift within ETL processes, ensuring robust and adaptable data integration solutions. Document data pipelines, processes, and architectural designs for future reference and knowledge sharing. Stay informed of latest trends and technologies in the data engineering field, and evaluate and adopt new tools, frameworks, and platforms (like Microsoft Fabric) to enhance data processing and storage capabilities. When necessary, implement and document schema modifications made to legacy production environment. Perform any other function required by IT Management for the successful operation of all IT and data services provided to our clients. Available nights and weekends as needed for system changes and rollouts. EDUCATION AND EXPERIENCE REQUIREMENTS: Bachelor's or Master's degree in computer science, information systems, applied mathematics, or closely related field. Minimum of ten (10) years full time employment experience as a data engineer, data architect, or equivalent required. Must have Experience with Microsoft Fabric SKILLS: Experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures, and integrated datasets using traditional and modern data integration technologies (such as ETL, ELT, MPP, data replication, change data captures, message-oriented data movement, API design, stream data integration and data virtualization) Experience working with cloud data engineering stacks (specifically Azure and Microsoft Fabric), Data Lake, Synapse, Azure Data Factory, Databricks, Informatica, Data Explorer, etc. Strong, in-depth understanding of database architecture, storage, and administration utilizing Azure stack. Deep understanding of Data architectural approaches, Data Engineering Solutions, Software Engineering principles and best practices. Working knowledge and experience with modern BI and ETL tools (Power BI, Power Automate, ADF, SSIS, etc.) Experience utilizing data storage solutions including Azure Blob storage, ADLS Gen 2. Solid understanding of relational and dimensional database principles and best practices in a client/server, thin-client, and cloud computing environment. Advanced working knowledge of TSQL and SQL Server, transactions, error handling, security and maintenance with experience writing complex stored procedures, views, and user-defined functions as well as complex functions, dynamic SQL, partitions, CDC, CDF, etc. Experience with .net scripting and understanding of API integration in a service-oriented architecture. Knowledge of reporting tools, query language, semantic models with specific experience with Power BI. Understanding of and experience with agile methodology. PowerShell scripting experience desired. Experience with Service Bus, Azure Functions, Event Grids, Event Hubs, Kafka would be beneficial. Experience working in Agile methodology. Working Conditions: Available to work evenings and/or weekends (as required). Workdays and hours are Monday through Friday 8:30 am to 5:30 pm ET.

Job Title: Sr Data Engineer Type: Direct Hire Unfortunately, we are not able to sponsor work visas or accept candidates on temporary work authorizations (e.g., H1B, CPT, OPT, etc.) for this role. Due to federal regulations and contractual requirements, we are only able to consider applications from U.S. Citizens and Green Card holders (permanent residents) and at this time we cannot sponsor or transfer a work visa. We are an equal opportunity employer and comply with all applicable laws regarding non-discrimination. Company Overview: The Senior Data Engineer will play a pivotal role in building and maintaining scalable, reliable, and high-performance data pipelines and enterprise analytics infrastructure. This role is ideal for someone who thrives in a collaborative environment, enjoys mentoring others, and wants to drive innovation in data engineering across the organization. Your Responsibilities on the Team Lead the design and implementation of scalable, high-performance data architectures that support diverse data sources, including structured, semi-structured, and unstructured data. Architect and build data pipelines that can process and analyze large-scale datasets in real-time and batch modes. Mentor and guide junior data engineers in best practices, code quality, and technical skills, fostering a culture of continuous learning. Ensure the reliability, efficiency, and security of data pipelines by implementing monitoring, alerting, and automated recovery mechanisms. Collaborate with cross-functional teams, including data scientists, analysts, and product managers, to align data solutions with business needs and goals. Lead the adoption of new technologies and tools that enhance the data engineering capabilities of the team. Oversee the development of data models, schemas, and data marts that enable efficient data analysis and reporting. Implement data governance frameworks, including data lineage, metadata management, and data quality standards. Your Toolbox Bachelor's degree in Computer Science, Information Technology, Management Information Systems, or a related field. 6+ years of experience in data engineering or a related role, with demonstrated success in delivering enterprise-scale data solutions. Proficient in SQL, with the ability to write complex queries, perform query optimization, and conduct performance tuning. Experience with cloud data warehouses like Snowflake, Databricks, and understanding of their appropriate use cases. Strong programming skills in Python or Java, with experience in data processing frameworks (e.g., Apache Spark, Hadoop). Experience with cloud platforms (AWS, Azure, GCP) and administration, such as AWS Redshift, Azure Synapse, or Google BigQuery. Proficiency with big data technologies, including Hadoop, Spark, Kafka, and HBase, with experience in distributed data processing. Expertise with data orchestration tools, such as MWAA/Airflow, for scheduling and managing data workflows. Experience with reporting tools such as Power BI and Tableau is a plus. Understanding of data security practices, including encryption, access controls, and data masking. Familiarity with cloud administration tools and frameworks such as AWS, dbt, Qlik Replicate, Tableau, and Snowflake is preferred.

Data Engineer (Azure-Focused) Miami, FL (Mid Town) We're looking for a mid-level Data Engineer who can help us build and maintain reliable data pipelines, transform and organize data, and support analytics teams as we continue growing our Azure environment. This is a great opportunity for someone with strong SQL/Python and ETL experience who wants to deepen their cloud skills in Azure. What You'll Do Build and maintain ETL/ELT data pipelines that move and transform data from various internal systems. Work with Azure Data Factory (or similar ETL tools) to orchestrate workflows. Develop and maintain data structures in SQL databases and Azure Data Lake. Collaborate with analytics, product, and operations teams to deliver clean, reliable datasets. Optimize pipelines for performance, reliability, and scalability. Implement basic data quality checks, monitoring, and documentation. Assist in data modeling for reporting and analytics use cases. Support the transition of legacy ETL workloads into Azure-based solutions. What We're Looking For 3-5 years of experience in Data Engineering, ETL development, or database engineering. Strong SQL experience (joins, CTEs, performance tuning). Python experience for data transformation or automation. Experience with any major cloud platform (Azure preferred; AWS/GCP OK). Exposure to Azure Data Factory, Databricks, or Synapse is a plus. Experience with data lakes, warehouses, or BI data modeling. Understanding of data quality, testing, and version control (Git). Nice to Have (Not Required) Experience migrating ETL pipelines into Azure. Databricks or Spark experience. Power BI or other reporting tools. Azure certifications (DP-203, DP-900). Why This Role Real growth pathway into a full Azure Data Engineer title. Build modern pipelines while learning deeper Azure tools. Work closely with leadership and influence the data stack. Collaborative, high-impact environment with tons of ownership.

Flybridge Staffing is currently searching for a Data Engineer for a client located in the Palm Beach Gardens area. This is a direct-hire position that will work off a hybrid schedule of 2 days remote. This person will design systems that supply high-performance datasets for advanced analytics. Experience: BA degree and 5+ years of Data Engineering experience Strong experience building ETL data pipelines for on-premises SQL Server 2017 or newer Deep understanding of the development of data pipelines with either SSIS or Python Broad experience with SQL Server, including Columnstore, etc. Extensive experience using SSMS and T-SQL to create and maintain SQL Server tables, views, functions, stored procedures, and user-defined table types. Experience with data modeling indexes, Temporal tables, CLR, and Service Broker. Experience in partitioning tables and indexes, and performance improvement with Query Analyzer Experience writing C#, PowerShell, and Python. Experience with source control integration with GitHub, BitBucket, and Azure DevOps. Experience working in an Agile and Kanban SDLC. Experience with cloud-based data management solutions such as Snowflake, Redshift. Experience with Python programming is a plus. Libraries such as Pandas, Numpy, csv, Traceback, JSON, PyODBC, Math-Are nice to have. Experience writing design documentation such as ERDs, Data Flow Diagrams, and Process Flow Diagrams. Experience with open-source database engines such as Clickhouse, ArcticDB, and PostGreSQL is a plus. Responsibilities: Collaborate effectively with Stakeholders, Project Managers, Software Engineers, Data Analysts, QA Analysts, DBAs, and Data Engineers. Build and maintain data pipelines based on functional and non-functional requirements. Proactively seek out information and overcome obstacles to deliver projects efficiently. Ensure that data pipelines incorporate best practices related to performance, scaling, extensibility, fault tolerance, instrumentation, and maintainability. Ensure that data pipelines are kept simple and not overly engineered. Produce and maintain design and operational documentation. Analyze complex data problems and engineer elegant solutions. ****NO SPONSORSHIP AVAILABLE**** US Citizen, GC, EAD only please. If your background aligns with the above details and you would like to learn more, please submit your resume to jobs@flybridgestaffing.com or on our website, www.flybridgestaffing.com and one of our recruiters will be in touch with you ASAP. Follow us on LinkedIn to keep up with all our latest job openings and referral program.

Actuarial Analyst - Nation Safe Drivers (Boca Raton, FL | On-site) Nation Safe Drivers (NSD), a 60-year industry leader in the automotive and financial services sector, is expanding our Actuarial & Analytics team. NSD is proudly employee-centric, offering a fun and collaborative culture, and excellent benefits. Our corporate headquarters is located in the heart of Boca Raton. We are seeking a motivated Actuarial Analyst who is passionate about modeling risk, improving financial outcomes, and helping guide strategic decisions. You will work closely with our Actuary and cross-functional teams to support pricing, reserves, forecasting, and product development. What You'll Do Analyze data, trends, and loss events to assess and forecast financial risk. Build and enhance models for pricing, reserves, premiums, and other actuarial functions. Support development and improvement of insurance and financial products. Ensure compliance with regulatory standards and reporting requirements. Communicate findings clearly to leadership, peers, and regulatory stakeholders. Identify emerging risks and propose strategies that support long-term organizational stability. Collaborate with actuaries, underwriters, analysts, and operational teams. Continuously improve actuarial processes, tools, and methodologies. What We're Looking For Bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, or related field. Actuarial exam progress; ACAS/FCAS preferred. Strong analytical and statistical modeling skills. Experience with R, Python, SQL, SAS, or similar tools. Knowledge of Prophet, AXIS, Emblem or similar actuarial software is a plus. Excellent communication skills with the ability to simplify complex findings. Detail-oriented, proactive, and able to thrive in a fast-paced environment. Why Join NSD Excellent Benefits: Health, dental, vision, disability, life, PTO, paid holidays-and pet insurance! Competitive compensation and family-friendly schedule. Great Culture: Social events, recognition lunches, celebrations, and a supportive leadership team. Career Growth: NSD has a long-standing reputation for promoting from within. Ready to Advance Your Actuarial Career? If you're excited to work on meaningful actuarial projects while growing with a supportive and innovative company, we'd love to meet you. Apply today!

NationsBenefits is recognized as one of the fastest growing companies in America and a Healthcare Fintech provider of supplemental benefits, flex cards, and member engagement solutions. We partner with managed care organizations to provide innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and bring value to their members. Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and member engagement solutions, we help health plans deliver high-quality benefits to their members that address the social determinants of health and improve member health outcomes and satisfaction. Our compliance-focused infrastructure, proprietary technology systems, and premier service delivery model allow our health plan partners to deliver high-quality, value-based care to millions of members. We offer a fulfilling work environment that attracts top talent and encourages all associates to contribute to delivering premier service to internal and external customers alike. Our goal is to transform the healthcare industry for the better! We provide career advancement opportunities from within the organization across multiple locations in the US, South America, and India. Position Summary: We are seeking a seasoned EDI 837 Claims Data Engineer to design, develop, and maintain data pipelines that process healthcare claims in compliance with HIPAA and ANSI X12 standards. This role requires deep expertise in Electronic Data Interchange (EDI), particularly the 837-transaction set, and will be pivotal in ensuring accurate, timely, and secure claims data exchange across payers, providers, clearinghouses, state agencies, and CMS. Key Responsibilities EDI Development & Integration Design, build, and maintain pipelines for processing 837 healthcare claim transactions. Implement and support EDI workflows across multiple trading partners. Ensure compliance with HIPAA regulations and ANSI X12 standards. Data Engineering Develop ETL processes to transform, validate, and load claims data into enterprise data warehouses. Optimize data flows for scalability, reliability, and performance. Collaborate with analysts and stakeholders to ensure claims data accuracy. Write and optimize SQL queries, stored procedures, and scripts for validation and reporting. Monitoring & Troubleshooting Monitor EDI transactions for errors, rejections, and compliance issues. Troubleshoot and resolve data mapping, translation, and connectivity problems. Perform root cause analysis and implement corrective actions. Collaboration Work closely with business analysts, QA teams, and IT operations to support claims processing. Partner with healthcare domain experts to align technical solutions with business needs. Required Skills & Qualifications 5+ years of experience in healthcare data engineering or claims integration. Strong expertise with EDI 837 transactions and healthcare claims processing. Proven experience with Medicaid and Medicare data exchanges between state agencies and CMS. Hands-on experience with Databricks, SSIS, and SQL Server. Knowledge of HIPAA compliance, CMS reporting requirements, and interoperability standards. Strong problem-solving skills and ability to work in cross-functional teams. Excellent communication and documentation skills. Preferred Skills Experience with Azure cloud platforms Familiarity with other EDI transactions (835, 270/271, 276/277). Exposure to data governance frameworks and security best practices. Background in data warehousing and healthcare analytics.

About the Role: We're building a large-scale synthetic data generation engine to produce realistic observability datasets - metrics, logs, and traces - to support AI/ML training and benchmarking. You will design, implement, and scale pipelines that simulate complex production environments and emit controllable, parameterized telemetry data. 🧠 What You'll Do \t•\tDesign and implement generators for metrics (CPU, latency, throughput) and logs (structured/unstructured). \t•\tBuild configurable pipelines to control data rate, shape, and anomaly injection. \t•\tDevelop reproducible workload simulations and system behaviors (microservices, failures, recoveries). \t•\tIntegrate synthetic data storage with Prometheus, ClickHouse, or Elasticsearch. \t•\tCollaborate with ML researchers to evaluate realism and coverage of generated datasets. \t•\tOptimize for scale and reproducibility using Docker containers. ✅ Who You Are \t•\tStrong programming skills in Python. \t•\tFamiliarity with observability tools (Grafana, Prometheus, ELK, OpenTelemetry). \t•\tSolid understanding of distributed systems metrics and log structures. \t•\tExperience building data pipelines or synthetic data generators. \t•\t(Bonus) Knowledge of anomaly detection, time-series analysis, or generative ML models. 💸 Pay $50 - 75/hr depending on experience Remote, flexible hours Project timeline: 5-6 weeks

Data Scientist Machine Learning. Data Scientist opportunity in Fort Lauderdale. Salary $100K to $135K DOE plus benefits. Our client is in the Consumer Finance and Lending industry, looking for a Data Scientist in their Fort Lauderdale office who is responsible for ensuring the successful operations of our client's Call Center team to meet the overall objectives, including strategic direction and development of a team providing Customer Service and Collections support, knowledge of Machine Learning is strongly preferred. Responsibilities: Develop statistical models for predicting future maintenance costs and key performance metrics. Consolidate, prepare, and analyze financial data to understand cause-and-effect relationships and identify root causes. Data mining, predictive-modeling, and innovative use of statistical and quantitative knowledge. Develop, implement, and maintain consistent processes for data quality control. Qualifications: Bachelor's degree in Finance, Engineering, Statistics, Math or equivalent. Master's degree preferred. Four (4) years or more relevant experience. Four (4) years or more experience in Corporate Finance, Call Center of or Consumer Finance.

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Job DescriptionDescription: Job Title- Lead Data Scientist Department- Elevate, Digital Marketplace Reports to- VP, Software Engineering Who We Are- Founded in 1995, Elevate Aviation Group is the parent organization uniting Elevate Jet, Private Jet Services (PJS), and Elevate MRO under one standard of aviation excellence. We operate in the space between small operators and faceless corporations - large enough to deliver global capability, yet agile enough to provide true personal service. As we enter our fourth decade, we're revolutionizing how we approach the market, combining decades of operational expertise with modern technology to deliver certainty, safety, and seamless experiences across every stage of private aviation - from charter to acquisition, management, and maintenance. Summary of position- We are seeking a highly skilled Lead Data Scientist to lead efforts in analyzing market demand and dynamic pricing across the private jet charter ecosystem. This role plays a pivotal part in shaping our pricing algorithms, demand forecasts, and sourcing strategies that directly power our charter broker platform. Essential Duties & Responsibilities- Develop and maintain pricing models that reflect real-time supply, demand, and market conditions. Analyze historical booking patterns, aircraft availability, and operational costs to optimize instant-book pricing logic. Collaborate with product managers, engineers, and revenue teams to design data-driven pricing features and dashboards. Use machine learning, statistical modeling, and predictive analytics to forecast user demand and route popularity. Automate data collection pipelines sourcing from internal systems, aviation APIs, and third-party data providers. Design A/B tests and performance metrics to evaluate the success of pricing and recommendation models. Translate scientific insights into actionable strategies that improve conversion rates, margin, and user satisfaction. Build customer segmentation models to enable personalized experiences and targeted marketing Track and report on key performance metrics including conversion rates, average booking value, and customer lifetime value Requirements: Requirements- Master's or PhD in Data Science, Statistics, Computer Science, or related field. 8+ years of experience in applied data science, ideally in travel, mobility, logistics, or dynamic marketplace environments. Strong proficiency in Python, SQL, and analytical libraries (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch). Experience designing and deploying pricing or forecasting models in production environments. Excellent understanding of time-series analysis, demand elasticity modeling, and revenue optimization. Proven ability to communicate complex models in clear, business-relevant terms. Familiarity with aviation or charter scheduling data is a strong plus. Schedule & Travel- The typical work schedule includes five 8-hour shifts assigned to one of the established schedules within the department. Nights, weekends and/or holidays may be required to support the needs of the organization. Ability to travel as needed up to 10% Miscellaneous- FLSA Status- Full Time Exempt Lifting requirements- Up to 20lbs U.S. work authorization is a precondition of employment. Applicants must be authorized to work for ANY employer in the U.S, both now and at all future times. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Elevate Aviation Group Elevate Aviation Group is a privately held aviation organization established in 1995, comprising Private Jet Services (PJS), Elevate Jet, and Elevate MRO. Together, these divisions serve every stage of private aviation, from first inquiry and flight planning to aircraft acquisition, management, and maintenance. We occupy a rare position in private aviation, combining the scale and resources of a national organization with the agility and discretion of a boutique firm. Operating at the standard of aviation excellence means holding our people to that same standard. Our teams anticipate needs, take ownership, and approach every mission with care, precision, and pride. In this world, the greatest cost is not the flight itself but the cost of not arriving when it matters most. As we enter our fourth decade, we are revolutionizing how we approach the market, building a technology-enabled system that empowers our people to focus on what they do best: anticipating problems before they occur so they never reach our clients, and providing a frictionless, calm experience from departure to destination. For nearly thirty years, we have supported some of the most defining moments in modern history-from presidential campaigns and global sporting events to world tours and humanitarian missions-all with an unwavering commitment to flawless execution. We are the architects of seamless arrival.

We are from US IT Solutions, an ISO Certified, E-Verify, WMBE Certified organization established in 2005 in CA. O ur company is serving various State, Local and County Departments for over 10 years. USITSOL has been helping clients innovate across all phases of the application lifecycle for over a decade. Some of our prestigious clients are State of CA, State of OR, State of FL, State of NC, State of GA, State of CO, State of VA, State of AR, State of MI, State of OH, State of IL, State of MO, State of MS, California State University, Sacramento Area Sanitation Department, SMUD, Sound Transit, LA Superior Courts, District of Columbia, UMAS, University of Central Florida and Hennepin County and many more. Job Description We are looking for Data Scientist in Juno Beach FL. Responsibilities: • Responsible for all activities associated with the administration of either mainframe or distributed computerized databases; • Design, implement, maintain and monitors databases; • Develop documents and implements guidelines, standards and procedures, maintenance of database dictionaries, and integration of systems through database design; • Develop machine learning, optimization and other modeling solutions; • Prepare comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses; • Research meteorological and climate influences on wind and solar generation, including forecasting techniques and applications; • Perform other job-related duties as assigned Qualifications Experience as a Data Scientist (5+ years); • Experience with regression and classification techniques (RF, SVM, LR, time-series models, etc); • Experience with statistical analysis packages (R, Python, STRATA, Matlab, etc); • Bachelor's degree in engineering, applied math, physics, statistics or computer science is required; • Master's degree/ Doctoral degree (preferred). Additional Information In person interview is acceptable.

: Associated Energy Group, LLC (AEG Fuels) is a global aviation fuels and services supply chain management company. The company's core business is the marketing and financing of fuel supply and logistics solutions for the world's largest airlines, militaries, and corporate operators. AEG Fuels serves its clients through a network of longstanding relationships with subcontracted parties around the world. Customers are afforded the benefits of negotiated fuel and throughput pricing based on AEG Fuel's aggregate volume within a network of over 3,000 airports as well as the company's specialized expertise in delivering products safely and on-time. AEG Fuels is dedicated to providing comprehensive support and unparalleled 24/7 service around the world. 30 different nationalities are represented on AEG's team and with offices in Miami, Houston, Toluca, Sao Paolo, London, Dubai, Singapore and Shanghai the company combines a global presence with a local touch. AEG Core Values: Excellence & Teamwork Entrepreneurship & Innovation Respect & Trust Always Do What's Right Job Overview: As a Data Scientist at AEG Fuels, you will be tasked with analyzing large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. You should be proficient in managing and executing data-related projects from conception to completion, including experience with integration or implementation projects involving ERP systems, and managing data within cloud infrastructure. Responsibilities: Identify valuable data sources and automate collection processes. Undertake preprocessing of structured and unstructured data. Analyze large amounts of information to discover trends and patterns. Build predictive models and machine-learning algorithms. Combine models through ensemble modeling. Present information using data visualization techniques. Propose solutions and strategies to business challenges. Collaborate with engineering and product development teams. Assist in the development and implementation of data governance and data quality standards. Lead and manage data-related projects, ensuring they align with business objectives and timelines. Participate in ERP integration and implementation projects, focusing on leveraging data insights for business optimization. Manage data operations within cloud infrastructure environments, ensuring scalability, security, and efficiency. Requirements: 8+ years of overall experience in the data space with 3+ years of recent experience as a Data Scientist with a background in Data Analysis, Engineering, or Architecture. Experience in data modeling and data mining. Experience in ETL pipeline management and development Understanding of machine-learning and operations research. Knowledge of R, SQL, and Python; familiarity with Scala, Java or C++ is an asset. Experience using business intelligence tools (e.g., Tableau, PowerBI) and data frameworks (e.g., Hadoop). Proven experience with ERP integration or implementation projects. Strong experience managing data within cloud infrastructure (AWS, Azure, Google Cloud). Analytical mind and business acumen. Problem-solving aptitude. Excellent communication and presentation skills. Experience in ETL tools and unified platforms (Synapse, DataFactory, Glue, Databricks, Snowflake, Fabric, etc.) is preferred BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred. What We Offer: Competitive salary package 4 weeks of PTO to start (for a total of 27 days). Health Benefits through Florida Blue Dental & Vision Insurance through SunLife 6% match on 401K A collaborative and innovative work culture.

Voloridge Health, headquartered in Jupiter, FL, is a proactive healthcare technology company. We develop advanced tools to deliver predictive, personalized insights to empower individuals and organizations to make data-driven decisions, promoting longer, healthier lives. Voloridge Health is dedicated to developing a data-science-driven approach to assess, track, and improve healthspan. Founded in 2023 with the same data science background that has propelled its sister company, Voloridge Investment Management, as an award-winning quantitative hedge fund. Data Science is at the core of our business. We are seeking Data Scientists who have dedicated themselves to excellence in quantitative disciples such as mathematics, statistics or physics and who share our mission of improving health outcomes through data science. If you are eager to collaborate with a world-renowned team Voloridge Health could be the home for you. Summary of Job Functions Building and evaluating modern numerical/modeling techniques Working daily with complex, large-scale datasets Collaborative research projects requiring deep thinking, technical skills, and ingenuity Keeping abreast of the latest research related to applications of machine learning to health Minimum Requirements Deep understanding of modern machine learning techniques and algorithms Must demonstrate exceptional aptitude in descriptive and inferential statistics Extremely detail-oriented and self-motivated Experience with time series data Extensive experience working with large data Creative thinker and self-learner, able to demonstrate extraordinary critical thinking and analytical skills Competent skills in programming languages such as Python, R, C/#/++ Ability to communicate actionable results with present senior leadership Advanced degree in Physics, Statistics, Mathematics or other quantitative disciplines or equivalent experience Ability to work onsite in our Jupiter, FL office Preferred Skills and Previous Experience Outstanding achievements such as Math competitions, Kaggle - Grandmaster/Master, exceptional scores on SAT/GRE/LSAT, Chess Grandmaster, etc. Experience with relational SQL databases Benefits Relocation assistance available for the right candidate Highly competitive base salary Health, dental, vision, life, and disability insurance 401K Voloridge Health is an Equal Opportunity Employer. All qualified applicants are encouraged to apply and 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 characteristic or status.

**Our Mission** As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2025) **Day to Day** At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Senior Marketing Data Scientist to define and drive our data science endeavors for Indeed's Marketing organization.The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams. Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day. As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers. **Responsibilities** + Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Incrementality testing. + Mentor and grow other data scientists, data engineers and Machine Learning Engineers across teams. + Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization + Partner with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences + Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements **Skills/Competencies** + Bachelor's Degree in Computer Science, Mathematics, Statistics + 7+ years of experience in data science, analytics, Machine Learning or a related field + Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while engaging across teams + A deep understanding of machine learning, statistical modelling, and predictive analytics. + Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale and experience using LLMs + Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with marketing or product teams to drive business growth + Experience communicating and influencing marketing, technical, and business direction across all levels of a large organization + Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) **Salary Range Transparency** US Remote 154,000 - 224,000 USD per year Austin Metro Area 154,000 - 224,000 USD per year NYC Metro Area 171,000 - 247,000 USD per year Seattle Metro Area 164,000 - 239,000 USD per year San Francisco Bay Area 180,000 - 260,000 USD per year **Salary Range Disclaimer** The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. **Benefits - Health, Work/Life Harmony, & Wellbeing** We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at **************************************** **Equal Opportunities and Accommodations Statement** Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit ********************************************** If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (******************************** **Inclusion & Belonging** Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. **Indeed's Employee Recruiting Privacy Policy** Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at **************************** , we also want to make you aware of our recruitment specific privacy policy found at ****************************/indeed-jobs . **Agency Disclaimer** Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. **Reference ID:** **46205** **The deadline to apply to this position is [12/5/2025]. Job postings may be extended at the hiring team's discretion based on applicant volume.** It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Reference ID: 46205

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

**We're unique. You should be, too.** We're changing lives every day. For both our patients and our team members. Are you innovative and entrepreneurial minded? Is your work ethic and ambition off the charts? Do you inspire others with your kindness and joy? We're different than most primary care providers. We're rapidly expanding and we need great people to join our team. The Senior Data Scientist is responsible for developing and organizing data-centered projects that ultimately inform and promote the company's expansion. With deep knowledge and expertise in applying machine learning to solve complex, real-world problems, the incumbent in this role formulates, recommends, and administers data-driven projects which are geared at furthering the company's interests. He/She helps develop cutting edge Artificial Intelligence (AI) and Machine Learning (ML) driven solutions based on a rich stream of clinical, claims, payer, and behavioral data. The Senior Data Scientist operates in a highly collaborative environment of data scientists, data engineers, domain experts and business leaders to deliver analytics products that have the potential to fundamentally alter how healthcare is thought about and delivered in a large scale. **ESSENTIAL JOB DUTIES/RESPONSIBILITIES:** + Develops complex algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. + Performs analyses of structured and unstructured data to solve multiple and complex business problems utilizing advanced statistical techniques and mathematical analyses and specialized expertise in the organization and/or industry. + Applies analytical rigor and statistical/ML methods to analyze large amounts of data, using advanced statistical techniques. + Manages large and complex analytical projects from data exploration, model building, performance evaluation and testing. + Assumes a prominent role in the development of junior staff. Behaves as mentor to junior team members to provide technical advice. Collaborates with business partners to develop technical/business approaches and new or enhanced technical tools. + Interacts with internal and external peers and management to share highly complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology/business solutions. + Identifies meaningful insights from "big data" sources. Assists in the coordination of various research initiatives. Serves as an internal consultant in identifying opportunities to improve decision making through the application of analytical concepts and techniques. + Performs other duties as assigned and modified at manager's discretion. **KNOWLEDGE, SKILLS AND ABILITIES:** + Keen business acumen and acuity + Strong knowledge and understanding of machine learning fundamentals including classical machine learning and deep learning techniques + Excellent verbal communication skills, including the ability to articulate complex concepts to both technical and non-technical audiences + Superb interpersonal, organization, time-management, facilitation and coordination skills + Task oriented with an ability to set goals and complete deliverables + Outstanding supervision and mentorship abilities + Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork + Demonstrated proficiency in Python with hands-on experience implementing production machine learning systems + Proficient with relational databases and programming languages, such as SQL, Python, scikit-learn, TensorFlow, and shell scripting + Mastery skills in Microsoft Office Suite products including Word, Excel, PowerPoint and Outlook, plus a variety of other word-processing, spreadsheet, database, e-mail and presentation software + Ability and willingness to travel locally, regionally and nationwide up to 10% of the time + Spoken and written fluency in English + This job requires use and exercise of independent judgment **EDUCATION AND EXPERIENCE CRITERIA:** + BA/BS degree in Medical Informatics, Statistics, Engineering, Computer Science, Economics or a related field required **OR** additional experience above the minimum may be considered in lieu of the required education on a year-for-year basis + Master's or PhD degree in a quantitative field such preferred + A minimum of 3 years of industry work experience in data science/machine learning roles required + Experience using tools in at least one cloud computing platform such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform + Certified Analytics Professional (CAP) a plus **PAY RANGE:** $96,475 - $137,822 Salary **EMPLOYEE BENEFITS** ****************************************************** We're ChenMed and we're transforming healthcare for seniors and changing America's healthcare for the better. Family-owned and physician-led, our unique approach allows us to improve the health and well-being of the populations we serve. We're growing rapidly as we seek to rescue more and more seniors from inadequate health care. ChenMed is changing lives for the people we serve and the people we hire. With great compensation, comprehensive benefits, career development and advancement opportunities and so much more, our employees enjoy great work-life balance and opportunities to grow. Join our team who make a difference in people's lives every single day. Current Employee apply HERE (************************************************** Current Contingent Worker please see job aid HERE to apply \#LI-Onsite

Job Description Title: Senior Data Scientist Reports to: VP Credit Decision Sciences About the Company At BMG Money, our mission is to provide access to affordable and responsible credit for underserved consumers facing unexpected expenses. We all share one vision- Redefining lending through technology, where underserved individuals can thrive financially through forward-thinking, responsible, and innovative financial solutions. Job Summary We are seeking an experienced and highly capable Data Scientist to join our team at BMG Money. This senior-level career role is crucial for transforming large, complex datasets into strategic insights that drive decision-making across various functions. The successful candidate will be responsible for independently developing, validating, and supporting the implementation of predictive models, machine learning algorithms, and advanced dashboards. This role requires strong technical mastery and the ability to work collaboratively to deliver high-impact solutions. Key Responsibilities Develop, validate, and support the deployment of predictive models and machine learning algorithms, ensuring they meet rigorous standards for accuracy and business relevance. Collect, process, and analyze massive volumes of structured and unstructured data, providing technical expertise within key data domains. Design and deliver insightful dashboards, reports, and data visualizations for business, product, and technology stakeholders, clearly articulating findings and their implications. Proactively identify patterns, trends, and business opportunities hidden within the data, translating findings into proposed solutions and actionable analysis. Support other data-driven projects such as fraud detection and portfolio analysis. Ensure compliance with regulatory requirements and internal policies related to credit risk modeling. Collaborate closely with product, engineering, and business teams to integrate data-driven solutions into production systems. Ensure the quality, consistency, and integrity of all utilized datasets and contribute to establishing best practices for data quality. Mentor junior data analysts on best practices for data cleaning, modeling techniques, and analytical rigor. Research, evaluate, and apply new data analysis techniques, tools, and technologies (e.g., cloud platforms, new programming libraries). Stay current with the latest technological advancements in the Data Science field to recommend process and equipment improvements. Provide hands-on support and guidance to junior analysts, ensuring access to high-quality, well-structured data sources. Support the manager on all related matters, discussing complex issues and recommending well-researched solutions to inform procedural and strategic actions. Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. Minimum of 4+ years of professional experience in data analysis, data modeling, and validation of analytical models in the financial services industry. Advanced SQL proficiency (writing complex, optimized queries) Business Intelligence (BI) tools (e.g., Tableau, Power BI, Looker) Advanced Statistical and Mathematical aptitude with experience in experiment design (e.g., A/B testing) Advanced proficiency in Python or R and their data science ecosystems (e.g., Pandas, Scikit-learn). Advanced Microsoft Excel Strong Critical Thinking and Analytical Skills • Demonstrated Decision-Making Capacity Excellent Communication and Presentation Skills (ability to present technical findings clearly to a business audience) Strong Organizational and Planning Skills Proven ability to work effectively in a team environment and mentor peers/junior staff. Preferred Qualifications Master's degree or post-graduate specialization in a relevant field. Experience with Credit Risk Management. Prior experience contributing to model deployment/MLOps processes. Advanced English proficiency (for documentation/global teams). Familiarity with cloud platforms (AWS, Azure, or GCP). Foundational understanding of credit risk management

Haystack News, the number one destination for news on streaming platforms, is looking for a Sr Data Scientist to join our team. Haystack is trusted by over 30 million viewers and is among the fastest-growing TV news companies in the world. Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining user experiences through cutting-edge algorithm enhancements. In this role, you'll leverage your advanced statistical analysis, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user engagement and retention, directly impacting our product's success. This is an exceptional opportunity to showcase your robust problem-solving capabilities and to thrive in a collaborative environment, working alongside a team of passionate professionals dedicated to innovation and excellence. Be part of a dynamic workplace where your contributions make a meaningful difference and help shape the future of news consumption. MINIMUM QUALIFICATIONS PhD degree; or M.S. +5 years in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations Research. 3+ years professional experience applying statistical methods to real product/business problems at scale (leading analysis end-to-end and influencing decisions). Deep expertise in statistical inference and experimental design: hypothesis testing, power/sample size calculations, variance reduction, etc. Proficiency in causal inference methods. Proven ability to translate offline analysis into online impact. Fluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit-learn) and machine learning packages such as LightGBM and XGBoost. Strong experience with SQL (e.g. postgres, snowflake, etc). PREFERRED QUALIFICATIONS: 2+ years of professional experience with large-scale recommender systems (for news feeds, shopping, ads, music, etc). Hands-on experience with orchestration/transformation tools (e.g. dbt and Airflow). Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow. Hands-on development of products/tools incorporating GenAI, LLMs, RAG, and/or Agents. RESPONSIBILITIES Work cross-functionally to translate business problems into testable analyses and experiments. Have curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business. Define and evolve trustworthy KPIs and guardrail metrics for user engagement, retention, and monetization. Develop and deploy machine learning models to make recommendations and influence the product roadmap. Define and build new ML features using text and multimodal embeddings and GenAI. Validate offline learnings with online outcomes through AB testing. Design, execute, and analyze experiments to prove product change attribution.