Data scientist jobs in Miami, FL - 135 jobs

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.

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.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. U.S. citizenship is required for this position due to government contract requirements. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

High School Diploma or equivalent The ability to fluently read, write, understand and communicate in English 3 years of relevant experience, medical device industry or equivalent industry experience is preferred Preferred Requirements: Demonstrable expertise in algorithm development, including, coding, algorithm testing, algorithm validation, and preparing algorithm module for integration into product software / code-base Good working knowledge in ML algorithm development using image-based data and image processing is desirable Ability to conduct experiments to collect data and/or to support algorithm development Advanced expertise in software and other applications used by data scientist for algorithm development Aptitude for problem-solving, strong learning agility, and demonstrable ability to collaborate with other quantitative partners Exceptional written and verbal communication skills including the ability to collaborate effectively with multidisciplinary teams Well-developed organizational skills and the ability to manage several projects simultaneously High School Diploma or equivalent The ability to fluently read, write, understand and communicate in English 3 years of relevant experience, medical device industry or equivalent industry experience is preferred Preferred Requirements: Demonstrable expertise in algorithm development, including, coding, algorithm testing, algorithm validation, and preparing algorithm module for integration into product software / code-base Good working knowledge in ML algorithm development using image-based data and image processing is desirable Ability to conduct experiments to collect data and/or to support algorithm development Advanced expertise in software and other applications used by data scientist for algorithm development Aptitude for problem-solving, strong learning agility, and demonstrable ability to collaborate with other quantitative partners Exceptional written and verbal communication skills including the ability to collaborate effectively with multidisciplinary teams Well-developed organizational skills and the ability to manage several projects simultaneously

Must Have Technical/Functional Skills Data Scientist with strong expertise in Python, PostgreSQL, and PyTest to join our team. The role involves building advanced data models, performing statistical analysis, and implementing automated testing frameworks for enterprise-grade solutions. Roles & Responsibilities * Develop and deploy data science models and algorithms using Python. * Perform data extraction, transformation, and analysis leveraging PostgreSQL and Pandas. * Design and implement robust automated test suites using PyTest for data pipelines and models. * Conduct exploratory data analysis (EDA) and feature engineering for predictive modeling. * Collaborate with stakeholders to define data-driven solutions and business insights. * Optimize SQL queries and database structures for performance and scalability. * Integrate models into production systems with CI/CD pipelines and testing gates. * Ensure data quality, security, and compliance with enterprise standards. * Document methodologies, workflows, and maintain reproducibility of experiments. * Provide production support and troubleshoot data-related issues Required Qualification * 5+ years of experience in Data Science and Python programming. * Strong knowledge of statistical modeling, machine learning techniques, and data visualization. * Expertise in PostgreSQL (schema design, query optimization, indexing). * Proficiency in PyTest for automated testing and CI/CD integration. * Hands-on experience with Pandas and NumPy for data manipulation. * Familiarity with Git-based workflows and CI/CD tools. * Strong problem-solving skills and ability to communicate technical concepts clearly. Generic Managerial Skills, If any * Experience with SQLAlchemy, Airflow, or Prefect for workflow orchestration. * Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker). * Exposure to big data technologies (Spark, Hadoop) and streaming platforms (Kafka). * Prior experience in BFSI domain. Key Words to search in Resume Data Science, Python, Pandas, PostgreSQL, PyTest, Machine Learning, CI/CD, SQL Performance, Airflow, Docker, Kafka. Pre-Screening Questionnaire * Experience with SQL Alchemy, Airflow, or Prefect for workflow orchestration. * Knowledge of cloud platforms (GCP) and containerization (Docker). * Exposure to big data technologies (Spark, Hadoop) and streaming platforms (Kafka). Salary range:& nbsp; $120,000 to $140,000 per year

Job Description Why This Role Exists Games generate mountains of data - player behavior, progression curves, economies, feature experiments, live ops events. The challenge isn't collecting it. It's turning it into decisions that make games more fun, more engaging, and more profitable. We're looking for a gaming-savvy data scientist who can uncover player insights, balance competing KPIs, and help shape game design using evidence - not guesswork. If you enjoy digging into player funnels, A/B test results, and economy models to answer “why did players do that?” - you'll fit right in. What You'll Do (Your Day-to-Day in Game Terms) Analyze player behavior, engagement, retention, monetization, and progression across our games Design and maintain dashboards that track live game performance and guide real-time decisions Partner closely with Game Designers, Product, Live Ops, and Game Intelligence teams to embed data into design and operational choices Define and evolve core game KPIs (DAU/MAU, ARPDAU, LTV, churn, conversion, feature performance) Lead A/B tests and experiments to evaluate features, balancing changes, and live ops events Translate complex player data into clear insights and narratives that non-data teammates can act on Help drive a culture where data informs game design - without killing creativity Stay current on game analytics trends, tools, and best practices Nice-to-Haves (a.k.a. “You'll impress us if you bring these”): Building predictive models for churn, LTV, player segmentation, or personalization Advanced statistical modeling or simulation for game economies and feature impact What You Bring to the Table Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or a related field Hands-on experience with A/B testing, experimentation, and feature analysis Strong problem-solving skills and comfort working in ambiguous, real-world game scenarios 4+ years of industry experience in data science, analytics, ML, or predictive modeling (preferred) Experience applying machine learning or AI where it actually adds value (not just because it's cool) Master's degree preferred for senior-level candidates Highly preferred: experience working with online gaming datasets, especially slot or casino-style games Your Analytics Toolkit Data & BI tools: SQL, Snowflake, Tableau, Power BI, Excel Programming & analysis: Python, R, Java, SAS Machine learning & AI platforms: TensorFlow, Azure ML Studio, or similar Strong foundation in statistics, data mining, pattern recognition, and predictive modeling Why Gaming Data Scientists Like This Role Your insights directly influence game design, player experience, and revenue outcomes You'll work alongside designers and product leaders who actually want data at the table You'll analyze live games with real player impact, not abstract datasets You'll help balance the art and science of game development If you love games, think in funnels and cohorts, and enjoy turning player data into smarter design decisions - we'd love to hear from you.

What You'll Be Owning: We are seeking a highly skilled Senior Data Scientist to support mission-critical intelligence operations. The ideal candidate brings deep analytic expertise, advanced data science capabilities, and demonstrated experience supporting national security objectives across GEOINT, multi-INT, and enterprise-level analytic environments. This position requires the ability to innovate, modernize analytical tradecraft, and drive the integration of advanced methodologies into customer mission sets. What You Must Have: * Active TS/SCI Clearance is required with the ability to obtain a CI Poly 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience) * Expertise in advanced analytic methodologies and proven ability to implement them to increase customer satisfaction and mission effectiveness. * Proven Intelligence Community experience working with integrated teams and applying documented analytic methodologies to answer complex intelligence questions. * Experience in data mining, database manipulation, and maintaining structured analytic datasets. * Demonstrated proficiency using analytic tools to modernize workflows and enhance analytic rigor. * Experience with Python/R scientific computing libraries (NumPy, Pandas, etc.) * Experience applying machine learning or statistical modeling techniques (e.g., regression, clustering, classification, time-series analysis) to mission datasets. * Proficiency in data preprocessing, feature engineering, and preparing structured/unstructured datasets for advanced analysis. * Ability to evaluate model performance, conduct error analysis, and effectively communicate model results to both technical and non-technical audiences. * Experience operationalizing analytic models into repeatable pipelines supporting intelligence production at scale. * Understanding of modern data science best practices, including model governance, reproducibility, transparency, and lifecycle management. * GEOINT / Multi-INT Core Tradecraft Support GEOINT analysis using imagery, spatio-temporal datasets, and multi-source intelligence to uncover relationships, trends, and mission-relevant events. * Conduct multi-INT research to augment imagery analysis and provide mission-specific context. * Demonstrated ability to lead technical and analytical teams in solving complex intelligence problems. * Experience developing new geospatial tradecraft, methods, and technologies from an operations research perspective. * Ability to identify system enhancements, capability gaps, new technologies, and business case opportunities that strengthen mission delivery. What Would Be Nice to Have: * Experience building and maintaining GEOINT, SIGINT, or OSINT datasets aligned to mission requirements. * Ability to design and deliver briefings, demonstrations, and training events for users at all skill levels across mission applications. * Experience supporting DoD and IC report production, briefings, and formal analytic publications. * Ability to extract, model, and visualize multi-INT datasets for both descriptive and predictive analysis. * Hands-on experience working with FADE tools (MIST, INTELBOOK, LINX, WATCH BOX) to discover and refine analytical insights. * Proficiency with statistical and visualization tools (e.g., Tableau, MATLAB, Brewlytics, JEMA, MapLarge) for advanced statistical analysis and visualization of large datasets. * Knowledge of Structured Observation Management tools and/or Object-Based Production methodologies. * Experience in applying deep learning or computer vision techniques (e.g., CNNs, segmentation, object detection) to GEOINT or multi-INT datasets. * Familiarity with distributed analytics frameworks such as Spark, Dask, or Ray. Experience building analytic dashboards or applications using frameworks. * Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures. * An understanding of Transnational Criminal Organizations (TCOs) operating within the USSOUTHCOM AOR * An understanding of coca cultivation and production areas Familiarity with Intelligence Community Directive (ICD) 203 (Analytic Standards) and ICD 206 * An understanding of how to operationalize the analytic output-shape/frame it in a way that supports operational planning

Data Scientist / Analytics Lead - Gaming Focus - ONSITE S. Palm Beach County location We are seeking a highly agile Data Scientist to drive real-time insights that directly influence game performance, player behavior, and business decisions. This role requires someone who can think on their feet, connect patterns quickly, and translate data into action in a fast-moving gaming environment. What This Role Does Own game and business KPIs, from definition through ongoing optimization Build and evolve dashboards and analytics used daily by Game Design and Leadership Analyze player behavior, game performance, and experiments (A/B testing) Quickly identify trends, anomalies, and opportunities - and act on them Translate complex data into clear, compelling stories that drive decisions Partner closely with Game Designers, Product, and Management in a rapid-iteration environment What We're Looking For Strong analytical instincts and the ability to problem-solve independently Comfort working with incomplete or evolving data Experience influencing decisions, not just reporting numbers Bachelor's degree in Statistics, Applied Math, Data Science, or related field Proficiency with SQL, Tableau or Power BI, Excel, and Python or R Experience with A/B testing and performance measurement Nice to Have Experience with predictive modeling, machine learning, or AI Familiarity with gaming or online player data (slots a plus) Experience with Snowflake and modern data stacks Master's degree for senior-level candidates Why This Role Is Different This is not a back-office analytics role. Success requires speed, curiosity, and judgment - someone who can spot patterns fast, ask the right questions, and influence outcomes in real time. Laurie Roth President/Sr. Consultant DSN-IT ************ ************* ************** ****************************************************

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

Atlas Air is seeking a detail-oriented and analytical Network Planning Analyst to help optimize our global cargo network. This role plays a critical part in the 2-year to 11-day planning window, driving insights that enable operational teams to execute the most efficient and reliable schedules. The successful candidate will provide actionable analysis on network delays, utilization trends, and operating performance, build models and reports to govern network operating parameters, and contribute to the development and implementation of software optimization tools that improve reliability and streamline planning processes. This position requires strong analytical skills, a proactive approach to problem-solving, and the ability to translate data into operational strategies that protect service quality and maximize network efficiency. Responsibilities Analyze and Monitor Network Performance Track and assess network delays, capacity utilization, and operating constraints to identify opportunities for efficiency gains and reliability improvements. Develop and maintain key performance indicators (KPIs) for network operations and planning effectiveness. Modeling & Optimization Build and maintain predictive models to assess scheduling scenarios and network performance under varying conditions. Support the design, testing, and implementation of software optimization tools to enhance operational decision-making. Reporting & Governance Develop periodic performance and reliability reports for customers, assisting in presentation creation Produce regular and ad hoc reports to monitor compliance with established operating parameters. Establish data-driven processes to govern scheduling rules, protect operational integrity, and ensure alignment with reliability targets. Cross-Functional Collaboration Partner with Operations, Planning, and Technology teams to integrate analytics into network planning and execution. Provide insights that inform schedule adjustments, fleet utilization, and contingency planning. Innovation & Continuous Improvement Identify opportunities to streamline workflows and automate recurring analyses. Contributes to the development of new planning methodologies and tools that enhance decision-making and operational agility. Qualifications Proficiency in SQL (Python and R are a plus) for data extraction and analysis; experience building decision-support tools, reporting tools dashboards (e.g., Tableau, Power BI) Bachelor's degree required in Industrial Engineering, Operations Research, Applied Mathematics, Data Science or related quantitative discipline or equivalent work experience. 5+ years of experience in strategy, operations planning, finance or continuous improvement, ideally with airline network planning Strong analytical skills with experience in statistical analysis, modeling, and scenario evaluation. Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment. Excellent communication skills with the ability to convey complex analytical findings to non-technical stakeholders. A proactive, solution-focused mindset with a passion for operational excellence and continuous improvement. Knowledge of operations, scheduling, and capacity planning, ideally in airlines, transportation or other complex network operations Salary Range: $109,500 -148,500 Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset. The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at ****************************************** To view our Pay Transparency Statement, please click here: Pay Transparency Statement “Know Your Rights: Workplace Discrimination is Illegal” Poster The "EEO Is The Law" Poster

Senior AI Data Scientist responsible for designing and building end-to-end large-scale AI/ML systems for forecasting, classification, regression, and predictive modeling. The ideal candidate will have deep expertise in building scalable solutions with proficiency in AI/ML frameworks, Python, SQL, data processing, distributed computing, and MLOps. Responsible for data ingestion and feature engineering to model development, deployment, and monitoring. Applying cutting-edge machine learning techniques and collaborating with cross-functional teams to develop impactful AI/ML solutions. Responsibilities Develop and deploy scalable AI/ML pipelines for feature engineering, training, tuning, evaluation, and inference. Leverage advanced time series analysis and classification techniques to enhance model precision and boost predictive performance. Build efficient and scalable AI/ML models for real-time inference and batch processing. Collaborate with cross-functional teams to define AI/ML system requirements and integrate AI/ML models into business workflows. Drive research and innovation by exploring new AI/ML techniques and incorporating the latest advancements in deep learning, transformers, LLMs, statistical modeling, and AI/ML algorithms. Design and implement agent-based systems that combine machine learning, generative AI for decision-making, and workflow automation. Develop intelligent agents capable of interacting with users and other systems to streamline operations, support dynamic content creation, and facilitate real-time problem solving. Establish evaluation protocols for agent behaviors to ensure alignment with business objectives. Foster open, respectful, and professional communication directly within the team, with co-workers/ teammates, and leaders across the organization. Develop ETL pipelines of data to be integrated with Azure Datalakes and Azure services. Performs other duties as assigned. Qualifications Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field. 5+ years of experience in data science or machine learning roles, with a strong portfolio of deployed AI solutions. Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing). Quantitative background with relevant experience using data to solve problems and answer questions Strong proficiency in Python, SQL, and experience with libraries/frameworks such as PyTorch, PySpark, and Tensorflow. Experience with MLOps tools and practices (e.g., MLflow, Azure DevOps, CI/CD for ML). Knowledge of relational and dimensional database structures, theories, principles, and practices. Familiarity with large language models (LLMs), generative AI, or deep learning. Strong knowledge of data architecture, data governance, and scalable data processing. Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques. Hands-on experience with Azure Data Lake, Azure Machine Learning, and other Azure cloud services.

We are united in our mission to make a positive impact on healthcare. Join Us! South Florida Business Journal, Best Places to Work 2024 Inc. 5000 Fastest-Growing Private Companies in America 2024 2024 Black Book Awards, ranked #1 EHR in 11 Specialties 2024 Spring Digital Health Awards, “Web-based Digital Health” category for EMA Health Records (Gold) 2024 Stevie American Business Award (Silver), New Product and Service: Health Technology Solution (Klara) Who we are: We Are Modernizing Medicine (WAMM)! We're a team of bright, passionate, and positive problem-solvers on a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform. Our vision is a world where the software we build increases medical practice success and improves patient outcomes. Founded in 2010 by Daniel Cane and Dr. Michael Sherling, we have grown to over 3400 combined direct and contingent team members serving eleven specialties, and we are just getting started! ModMed's global headquarters is based in Boca Raton, FL, with a growing office in Hyderabad, India, and a robust remote workforce across the US, Chile, and Germany. We Are Modernizing Medicine (WAMM)! We're a team of bright, passionate, and positive problem-solvers on a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform. Our vision is a world where the software we build increases medical practice success and improves patient outcomes. Founded in 2010 by Daniel Cane and Dr. Michael Sherling, we have grown to over 3400 combined direct and contingent team members serving eleven specialties, and we are just getting started! ModMed is based in Boca Raton, FL, with office locations in Santiago, Chile, Berlin, Germany, Hyderabad, India, and a robust remote workforce with team members across the US. As we continue to scale and drive innovation, we are seeking dynamic and experienced Data Scientists at various levels to join our team. We are seeking Data Scientists to play a critical role in driving data and machine learning initiatives that fuel innovation and business growth. This is ideal for a hands-on technical lead who is passionate about solving complex problems using data and building production-grade ML systems. You will work closely with cross-functional teams to design, develop, and deploy scalable data solutions and machine learning models that create measurable business impact. Key Responsibilities : Design and implement advanced machine learning models and algorithms for prediction, classification, personalization, and automation use cases. Translate business problems into machine learning solutions, working closely with stakeholders to identify opportunities for data-driven impact. Build and evaluate models using techniques such as supervised/unsupervised learning, time-series forecasting, NLP, and deep learning where applicable. Own the end-to-end lifecycle of machine learning models, from data exploration and feature engineering to deployment, monitoring, and retraining. Lead cross-functional ML projects, collaborating with product managers, data engineers, analysts, and software engineers. Partner with data engineering teams to ensure robust data pipelines and access to high-quality, clean, and reliable data for analytics and ML. Contribute to the design and development of scalable ML infrastructure and tools to support training, experimentation, and production deployment. Analyze large datasets to generate actionable insights, uncover trends, and support strategic decisions. Develop visualizations, dashboards, and reports to communicate results to technical and non-technical audiences. Work with stakeholders across the business (product, marketing, operations) to validate findings and support data-informed decisions. Qualifications: PhD in Computer Science, Data Science, Electrical Engineering, Mathematics, Physics, or a related quantitative field. Proven track record of research excellence demonstrated by publications in top ML/AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, AAAI, KDD) or journals. Hands-on experience in data science or machine learning in a product or platform-focused environment preferably in healthcare or similar data-rich domain. Strong proficiency in Python and common ML libraries. Experience with MLOps tools and cloud-based ML environments such as AWS. Experience working with healthcare data formats (HL7, FHIR) and privacy standards (HIPAA) is a plus. Solid understanding of statistical methods, experimental design, and data wrangling. Familiarity with SQL, Spark, and distributed data systems is a plus. #LI-DV1 ModMed Benefits Highlight: At ModMed, we believe it's important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits: India Meals & Snacks: Enjoy complimentary office lunches & dinners on select days and healthy snacks delivered to your desk, Insurance Coverage: Comprehensive health, accidental, and life insurance plans, including coverage for family members, all at no cost to employees, Allowances: Annual wellness allowance to support your well-being and productivity, Earned, casual, and sick leaves to maintain a healthy work-life balance, Bereavement leave for difficult times and extended medical leave options, Paid parental leaves, including maternity, paternity, adoption, surrogacy, and abortion leave, Celebration leave to make your special day even more memorable, and company-paid holidays to recharge and unwind. United States Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution, 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep. Generous Paid Time Off and Paid Parental Leave programs, Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs, Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed, Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning, Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles, Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters. PHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (*************************). Please check senders' email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.

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.

JOB TITLE: Senior Actuary - ALM/Risk Management EMPLOYER: Sentinel Security Life Insurance DEPARTMENT: Finance - Actuarial REPORTS TO: Chief Actuary (Hybrid) ABOUT THE COMPANY Since 1948, families have counted on Sentinel Security Life Insurance Company during their time of need. The Company was originally established to provide families a way of funding funeral expenses and burial costs. Through our final expense life insurance product, we have been honored to provide peace of mind to families for well over half a century. Today, Sentinel offers a strong senior market portfolio including Life and Annuity products. We continue to develop new products while improving existing products and services to better protect our customers. Sentinel has a long history of financial strength and stability that has afforded us the opportunity to invest wisely in the growth of our company. Our strength lies not only in the quality of our insurance products, but also the level of service we provide to our policyholders, agents, and shareholders. ABOUT THE ROLE Sentinel has an immediate opening for a self-motivated, resourceful, and well-organized candidate to join the team as a Senior Actuary with an initial focus on ALM, Asset Modeling, and Risk Management of annuities and life insurance. This opening will have direct exposure to each of the group's insurance operating companies as well as close interaction with the company's management team. The individual will have the opportunity to participate in all aspects of the company's actuarial functions and will work closely with leadership from the finance and insurance teams. This role offers scope for tremendous growth as A-CAP continues to grow and expand its business. This is a rare opportunity for an actuary to contribute to both new business and in-force functions within a high-growth insurance organization. WHAT YOU WILL DO: ALM, Hedging effectiveness studies Asset Modeling, Cash Flow Testing Risk management, risk reporting, risk policies, including ORSA & scenario analysis Experience studies, assumption setting Monitoring and analysis of asset performance Model enhancements using GGY AXIS Profitability metrics, analyses, and reporting Support subsidiary insurance companies' core actuarial functions as needed (valuation, cash flow testing, pro-forma/business planning, risk management, etc.) with opportunities to rotate through various actuarial functions on a short-term basis. Other Actuarial projects as needed. Opportunity to work on high-profile projects with senior decision-makers that directly drive company growth; the role will have direct exposure to Senior Management including the Head of Life and Annuities, Chief Investment Officer, the Chief Actuary and the Chief Financial Officer. Work closely with key stakeholders. WHAT YOU WILL NEED: Bachelor's degree in finance, accounting, economics, actuarial science, or related field with 5+ years of actuarial experience. ASA/FSA designation. Expert proficiency with MS Office Suite and GGY AXIS. Tech-savvy is a plus. Experience with annuity products and relevant actuarial work (ALM, valuation, risk management, etc.). Strong organizational skills and ability to communicate complex concepts in a professional and concise manner, both verbally and written. Comfort with a steep learning curve and motivation to work in an opportunity-rich, dynamic environment. Experience with asset modeling, cash flow testing & reinsurance, particularly for fixed annuity products, preferred. Experience with pre-need and/or final expense life insurance products, preferred. US Statutory and/or GAAP financial reporting experience, preferred. BENEFITS: A-CAP works hard to create a positive and supportive environment. That's why we offer great benefits to safeguard the health and well-being of our employees. Our comprehensive benefits package includes: Competitive compensation programs Employer-sponsored medical, dental, and vision insurance Paid Life & AD&D Insurance (for employees and families) Paid Disability Insurance (STD + LTD) Paid Parental Leave Paid Vacation and Sick Leave Paid Holidays Voluntary Supplemental Insurance Safe Harbor 401(k) plan with employer match And other benefits and perks! POSITION TYPE AND EXPECTED HOURS OF WORK This is a full-time position. Days and hours of work are Monday through Friday, 9:00 a.m. to 6:00 p.m., 40 hours weekly, or as otherwise arranged with the manager of the department. US work authorization is required. Who We Are: ******************** EEO Statement A-CAP is an Equal Opportunity Employer and does not discriminate in recruiting, hiring, promotion or any other personnel action based on the basis of race, ethnicity, national origin, color, sex, gender, gender identity or expression, sexual orientation, religion, age, disability, veteran status, or any other basis covered by appropriate law. We comply with the laws and regulations set forth in the Know Your Rights poster. All employment is decided on the basis of qualifications, merit, and business need. To request an accommodation, contact *********** and we will make every effort to respond to your request within 48 business hours to work towards a positive solution. Disclaimer: The above is intended to describe the general content of and requirements for the performance of this job. It should not be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Curious about what's next in marketing, technology, and creativity? At Razorfish, we don't just follow trends-we help shape them. Our 2026 Summer Internship Program is designed for bold thinkers who want hands-on experience, meaningful collaboration, and exposure to real client work. Applications are now open for college juniors, seniors, and recent graduates (up to six months post-graduation) who are eager to learn, contribute, and grow alongside industry leaders. Program Details * Internship Dates: June 1 - July 31, 2026 * In-Office: Hybrid (3 days per week in-office) - designed for collaboration, creativity, and connection * Office Locations: Chicago | Miami | New York | Birmingham, MI What You'll Experience * Real Client Work: Gain hands-on real-world experience working with leading brands, and see your ideas move from concept to execution. * Mentorship & Support: Learn from experienced teammates who provide guidance, feedback, and insight into agency life. * A Culture That Values Your Voice: We encourage fresh perspectives and thoughtful ideas. You'll be invited to participate, share, and challenge our thinking. * Professional Development: Build your skills through a guided campaign pitch competition, with access to industry-leading learning tools. * Connection & Growth: Collaborate with cross-disciplinary teams and build relationships across the agency. High-performing interns may be considered for full-time opportunities, with continued growth supported through our early career development programs. Who You Are * A college junior, senior, or recent graduate (up to six months post-graduation) * A student or recent graduate in Marketing, Advertising, Communications, Business, or a related field * A strong communicator with an interest in storytelling, branding, and digital marketing * Collaborative, adaptable, and comfortable working in a fast-paced, team-oriented environment Overview As a Data Science & Analytics Intern, you will be responsible for analysis/reporting, data strategy, and optimization recommendations to enable a data-driven SEO program. The role combines a passion for finding opportunity areas in the SEO/SEM program supported by deep analysis and insights, all stemming from your natural curiosity and need to understand the "why" behind data. Responsibilities What you'll do * Assist the team in analyzing content and identifying overall program success and marketing opportunities that could increase the performance of the site * Responsible for assisting the team with keyword research, dashboard creation, maintenance, and updates, aimed to improve overall SEO analytics Qualifications * Bachelor's degree or equivalent work experience * A storyteller, be able to make sense of data and extrapolate meaningful and actionable insights * Experience in creating and delivering presentations using PowerPoint * Experience with Adobe Analytics, Google Search Console, dashboarding (tableau/Power BI), Google data studio, excel * Experience with Python a plus Additional information At Publicis Groupe, we offer medical and voluntary benefits to our freelancers and temporary employees. Voluntary benefit options include supplemental medical insurance, transportation, and parking benefits, legal benefits, pet insurance, and auto and home insurance. You must be actively employed for 90 consecutive calendar days in order to be eligible for Publicis medical and voluntary benefits. You will also be eligible to participate in the Publicis 401(k) Plan after you complete 1,000 work hours in a consecutive 12-month period. Razorfish is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances. All your information will be kept confidential according to EEO guidelines. Compensation Range: $20 hourly. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 02/03/2026.

Click on "Learn more about this agency" button below for IMPORTANT additional information. This is a Direct Hire Solicitation. This public notice is to gather applications that may or may not result in a referral or selection. Click on "Learn more about this agency" button below for IMPORTANT additional information. This is a Direct Hire Solicitation. This public notice is to gather applications that may or may not result in a referral or selection. Overview Help Accepting applications Open & closing dates 12/22/2025 to 12/21/2026 Salary $63,795 to - $164,301 per year Pay scale & grade GS 11 - 15 Locations FEW vacancies in the following locations: Eielson AFB, AK Elmendorf AFB, AK Fort Richardson, AK Maxwell AFB, AL Show morefewer locations (79) Little Rock AFB, AR Davis Monthan AFB, AZ Luke AFB, AZ Beale AFB, CA Edwards AFB, CA El Segundo, CA Los Angeles, CA March AFB, CA Travis AFB, CA Vandenberg AFB, CA Air Force Academy, CO Buckley AFB, CO Cheyenne Mountain AFB, CO Colorado Springs, CO Peterson AFB, CO Schriever AFB, CO Joint Base Anacostia-Bolling, DC Dover AFB, DE Cape Canaveral, FL Cape Canaveral AFS, FL Eglin AFB, FL Homestead AFB, FL Hurlburt Field, FL MacDill AFB, FL Patrick AFB, FL Tyndall AFB, FL Dobbins AFB, GA Moody AFB, GA Robins AFB, GA Hickam AFB, HI Mountain Home AFB, ID Scott AFB, IL Grissom AFB, IN Barksdale AFB, LA Hanscom AFB, MA Westover Air Reserve Base, MA Andrews AFB, MD Linthicum Heights, MD Selfridge ANG Base, MI Whiteman AFB, MO Columbus AFB, MS Keesler AFB, MS Malmstrom AFB, MT Grand Forks, ND Minot AFB, ND Offutt AFB, NE New Boston, NH McGuire AFB, NJ Cannon AFB, NM Holloman AFB, NM Kirtland AFB, NM Nellis AFB, NV Niagara Falls, NY Wright-Patterson AFB, OH Youngstown, OH Youngstown, OH Altus AFB, OK Tinker AFB, OK Vance AFB, OK Charleston, SC Shaw AFB, SC Arnold AFB, TN Dyess AFB, TX Fort Sam Houston, TX Goodfellow AFB, TX Kelly AFB, TX Lackland AFB, TX Laughlin AFB, TX Randolph AFB, TX Hill AFB, UT Alexandria, VA Arlington, VA Dahlgren, VA Fort Eustis, VA Langley AFB, VA Pentagon, Arlington, VA Fairchild AFB, WA McChord AFB, WA Warren AFB, WY Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Multiple Work schedule Full-time Service Competitive Promotion potential 15 Job family (Series) * 1520 Mathematics Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number AFPC-STEMDHA-12*********** Control number 852876400 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help * Duties and responsibilities vary and may increase according to grade level * Plan and carry out the collection and analysis of information, data and standards used by the assigned organization to perform mathematics tasks. * Carry out special projects designed to facilitate the full use of the interns training and development. * Keep abreast of emerging technologies and professional developments to maintain current in the field and for application to work assignments. * Perform scientific work in the field of mathematics in support of conventional projects, or portions of larger projects and programs under the guidance of a senior mathematician or scientist. Requirements Help Conditions of employment * Please read this Public Notice in its entirety prior to submitting your application for consideration. * U.S. Citizenship is required * Males must be registered for Selective Service, see *********** * Total salary varies depending on location of position * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * Recruitment incentives may be authorized * Position may be subject to random drug testing * Employee may be required to work other than normal duty hours, to include evenings, weekends and/or holidays * Shift work and emergency overtime may be required * Employee must maintain current certifications * A security clearance may be required * Disclosure of Political Appointments is required Qualifications In order to qualify, you must meet the specialized experience requirements described in the Office of Personnel Management (OPM) Qualification Standards for General Schedule Positions, Group Coverage Qualification Standard for Professional and Scientific Positions. BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: mathematics; or the equivalent of a major that included at least 24 semester hours in mathematics. OR Combination of education and experience - courses equivalent to a major in mathematics (including at least 24 semester hours in mathematics), as shown in A above, plus appropriate experience or additional education. SPECIALIZED EXPERIENCE: In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below. GS-11: One year of specialized experience (equivalent to GS-09) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes performing full range of activities required for the scientific area under study and utilizing an intense application of specialized methods and techniques of the required field of mathematics; gathering, analyzing and processing of data and information to support work efforts. GS-12: One year of specialized experience (equivalent to GS-11) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes directing, coordinating and reviewing work of the other members of the team; planning, organizing and conducting the operational and performance tests and technical evaluation of test results. GS-13: One year of specialized experience (equivalent to GS-12) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes advising and providing technical assistance to scientific, engineering, mathematical and managerial personnel on the mathematical aspects of range safety work; reviewing scientific and mathematical studies and papers and convert results into practical recommendations and procedures. GS-14: One year of specialized experience (equivalent to GS-13) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes formulating, conducting, organizing and directing highly creative and independent research programs; defining and selecting basic problems for investigation based on needed improvements to the state of the art in mathematical modeling; providing contractual technical direction to programs of considerable scope and complexity, with nominal, broad oversight. GS-15: One year of specialized experience (equivalent to GS-14) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes providing operational and scientific expertise to explore basic research initiatives for a new generation; overseeing policy development, plans, and operations in critical research initiatives and advanced technologies for future precision capabilities on a continuing or project basis; identifying and recommending critical research initiatives and establishes goals toward future precision capabilities. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): * Knowledge of mathematics policies, theories, principles and concepts and familiarity with other scientific and engineering disciplines to carry out conventional scientific processes. * Knowledge of mathematics and related disciplines to design, develop and adapt scientific methods and techniques. * Knowledge of analytical techniques to develop, stimulate, and analyze data. * Ability to communicate effectively both orally and in writing. * Knowledge of computer operations and standard software applications. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience; transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For Direct Hire (DHA) Positions: This is a Direct Hire Public Notice, under this recruitment procedure applications will be accepted for each location/ installation identified in this Public Notice and selections are made for vacancies as they occur. There may or may not be actual/projected vacancies at the time you submit your application. Interagency Career Transition Assistance Program (ICTAP): For information on

Working Title: Internship Salary: To Be Determined by the Agency Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and Responsibilities: The State of Florida is seeking motivated individuals to join our workforce. Our agencies are looking for bright, highly motivated college students and recent graduates to participate in a unique opportunity to gain experience firsthand in the operations of state government while obtaining valuable on-the-job training. As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to understand data needs and deliver data-driven solutions. * Assist with the maintenance, ongoing support, and reporting for automation across the agency. * Assist in collecting, cleaning, and preprocessing structured and unstructured datasets from various sources. * Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the improvement of data quality, data governance, and metadata standards. * Conduct research on emerging tools, techniques, and technologies. Applications are accepted year-round. Internships may be paid or unpaid and there is no guarantee of employment. Knowledge, Skills, and Abilities: * Knowledge of data analytics methodologies and tools. * Ability to work independently as well as with others. * Knowledge of data modeling, data mining and data cleansing techniques; and data analysis. * Knowledge of automation and application of automation tools. * Ability to prioritize tasks, meet deadlines, and manage time effectively. * Knowledge of statistics & statistical modeling. * Ability to collect, evaluate, and prioritize automation opportunities. * Proven ability to work ethically and with integrity. Minimum Qualifications: * Must be currently enrolled or graduated within the last twelve months from an accredited college or university degree program. * Working knowledge of database systems and querying languages (e.g., SQL) to extract and manipulate data efficiently. The State of Florida is an Equal Opportunity Employer/Affirmative Action Employer, and does not tolerate discrimination or violence in the workplace. Candidates requiring a reasonable accommodation, as defined by the Americans with Disabilities Act, must notify the agency hiring authority and/or People First Service Center (***************. Notification to the hiring authority must be made in advance to allow sufficient time to provide the accommodation. The State of Florida supports a Drug-Free workplace. All employees are subject to reasonable suspicion drug testing in accordance with Section 112.0455, F.S., Drug-Free Workplace Act. Location:

Atlas Air is seeking a detail-oriented and analytical Network Planning Analyst to help optimize our global cargo network. This role plays a critical part in the 2-year to 11-day planning window, driving insights that enable operational teams to execute the most efficient and reliable schedules. The successful candidate will provide actionable analysis on network delays, utilization trends, and operating performance, build models and reports to govern network operating parameters, and contribute to the development and implementation of software optimization tools that improve reliability and streamline planning processes. This position requires strong analytical skills, a proactive approach to problem-solving, and the ability to translate data into operational strategies that protect service quality and maximize network efficiency. Responsibilities * Analyze and Monitor Network Performance * Track and assess network delays, capacity utilization, and operating constraints to identify opportunities for efficiency gains and reliability improvements. * Develop and maintain key performance indicators (KPIs) for network operations and planning effectiveness. * Modeling & Optimization * Build and maintain predictive models to assess scheduling scenarios and network performance under varying conditions. * Support the design, testing, and implementation of software optimization tools to enhance operational decision-making. * Reporting & Governance * Develop periodic performance and reliability reports for customers, assisting in presentation creation * Produce regular and ad hoc reports to monitor compliance with established operating parameters. * Establish data-driven processes to govern scheduling rules, protect operational integrity, and ensure alignment with reliability targets. * Cross-Functional Collaboration * Partner with Operations, Planning, and Technology teams to integrate analytics into network planning and execution. * Provide insights that inform schedule adjustments, fleet utilization, and contingency planning. * Innovation & Continuous Improvement * Identify opportunities to streamline workflows and automate recurring analyses. * Contributes to the development of new planning methodologies and tools that enhance decision-making and operational agility. Qualifications * Proficiency in SQL (Python and R are a plus) for data extraction and analysis; experience building decision-support tools, reporting tools dashboards (e.g., Tableau, Power BI) * Bachelor's degree required in Industrial Engineering, Operations Research, Applied Mathematics, Data Science or related quantitative discipline or equivalent work experience. * 5+ years of experience in strategy, operations planning, finance or continuous improvement, ideally with airline network planning * Strong analytical skills with experience in statistical analysis, modeling, and scenario evaluation. * Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment. * Excellent communication skills with the ability to convey complex analytical findings to non-technical stakeholders. * A proactive, solution-focused mindset with a passion for operational excellence and continuous improvement. * Knowledge of operations, scheduling, and capacity planning, ideally in airlines, transportation or other complex network operations Salary Range: $109,500 -148,500 Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset. The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at ****************************************** To view our Pay Transparency Statement, please click here: Pay Transparency Statement "Know Your Rights: Workplace Discrimination is Illegal" Poster The "EEO Is The Law" Poster