Data Science Internship jobs at NBCUniversal - 239 jobs

WFA Cross Media Measurement Initiative Miami, FL / On Site Kantar Media has won the contract to build a new Cross-Media Measurement panel in the United States, one of the first of its kind in the world. We are looking for forward-thinking, analytical, and detail-oriented professionals to join our team and help transform the way advertisers understand audiences. The Media Division at Kantar are experts in decoding the evolving media landscape. Our Audience Measurement teams are developing innovative ways to quantify how people consume media across platforms, from streaming services to broadcast TV. This new U.S. panel represents the future of measurement, integrating the latest technologies, partnerships with global platforms (including Google and Meta), and cutting-edge data visualization. Kantar is the world's leading data, insights, and consulting company. We understand more about how people think, feel, shop, share, vote, and view than anyone else. Combining deep human insight with advanced analytics, Kantar's 25,000 employees in over 100 countries help the world's leading organizations succeed and grow. Nobody knows people better than Kantar. This is your opportunity to be part of something genuinely transformative. Job Details Our Data Analyst will play a key role in ensuring the accuracy, consistency, and insightfulness of data used across the Cross-Media Measurement initiative. You will clean, structure, and analyze panel and operational data, create dashboards and reports, and provide data-driven insights to stakeholders across Operations, Product, and Client Services. This is a hands-on analytical role that combines strong technical skills with business acumen and storytelling ability. You will help ensure our metrics are not only accurate but actionable, turning raw data into meaningful insights that drive decisions. Tasks & Responsibilities Clean, validate, and structure raw panel and operational datasets for reporting and analysis. Develop and maintain Excel dashboards, Power BI reports, and Power Apps solutions that streamline data entry, tracking, and visualization workflows. Build and manage Power Apps used by operations teams for data capture, process automation, and reporting integration. Identify data anomalies, trends, and root causes of issues that impact panel performance or data quality. Partner with Operations and Technology teams to ensure data integrity and proper data flow across systems. Automate routine reporting processes and improve efficiency in data collection and transformation. Support leadership with ad-hoc analysis, visualizations, and performance summaries to inform strategic decisions. Collaborate cross-functionally to design and implement new KPIs and data views aligned with project goals. Ensure compliance with data governance standards and documentation best practices. Contribute to continuous improvement initiatives through data insights and analytics innovation. The Skills & Experience Needed A minimum of one year of professional experience using Excel, Power BI, and Power Apps is required. Strong proficiency in Microsoft Excel (pivot tables, advanced formulas, Power Query, VBA desirable). Experience with Power BI, building dashboards, data models, and visual reports from multiple data sources. Hands-on experience with Microsoft Power Apps, including building and maintaining low-code applications, automating workflows, and integrating with Power BI and SharePoint. Proven analytical and problem-solving skills with exceptional attention to detail and accuracy. Solid understanding of data structures, quality assurance, and basic statistical concepts. Ability to interpret complex datasets and communicate findings in a clear, concise, and actionable way. Experience working with large operational or media datasets preferred. Knowledge of SQL, Python, or similar data manipulation tools is a plus (but not required). Strong organizational and time management skills, able to prioritize and deliver under tight deadlines. Excellent collaboration skills, comfortable working cross-functionally in a dynamic, fast-paced environment. Fluent English essential; Spanish desirable.

Analyst, Data Analytics | Institutional Real Estate Investment Firm We are working with a leading real estate investment firm that is looking for an Analyst to join their Data Science group, and help play a key role in driving/generating actionable insights across an institutional-grade portfolio of assets, which is part of our client's multibillion-dollar portfolio of diversified real estate holdings throughout the US. This role will combine strategic thinking and advanced analytics to identify opportunities firmwide, and focus on managing data pipelines, creating/refining in-house models, developing controls and workflows, all while engaging with internal and external stakeholders. Our client is an industry leader that continues to raise capital, deploy capital, and outperform its peers year-over-year, and this would be an opportunity to be a part of that growth. Experience: Bachelor's degree in Analytics, Engineering, Statistics, or related, from a top-tier university 3+ years of experience in data engineering, BI, analytics, or related Proficiency in Python, SQL, Power BI, Excel and data visualization Experience employing predictive analytics and forecasting KPIs, in a cross-functional environment If this sounds like you, please apply, and/or reach out to Alex, at ************************.

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics, and software. We also assist millions of people in realizing their financial goals and saving time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data and to innovate. We're focused on powering opportunities, which is why the Experian Summer Internship Program gives students across the country the chance to apply their education to real-world challenges through meaningful, hands-on projects. Rooted in our 'People First' philosophy, our interns experience firsthand our commitment to personal and professional development. Proudly named one of the Top 100 Internship Programs three years in a row, we invite you to join us and explore your potential with a team that's invested in your growth. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 25,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. You will join Experian's R&D Lab, developing analytical solutions by applying new technologies, including Quantum Computing. Responsibilities: + Apply ML, data mining, or text mining techniques to extract data insights and solve complex business issues + Design data structures and storage schemes for efficient handling + Explore and improve the application of Quantum Computing for fraud detection, digital marketing and finance forecasting + Conduct Return on investment and benefit analysis + Document and present model process and model performance + Currently enrolled in a PhD degree program in CS, Physics, or a related field + Return to school in Fall 2026 to complete degree + Experience in analytics, data mining, or predictive modeling + Experience with regression, Neural Network, or ensemble methods + Proficient in Python, R, Java, C++, or C + Experience with Generative AI and algorithms/applications of Quantum Computing Benefits/Perks: + Fully remote + Volunteer Time Off + Great compensation + Flexible work schedule + Eligible for 401(k) participation in 90 days At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Our compensation reflects the cost of labor across several U.S. geographic markets. The hourly pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Remote #EarlyCareers

About the Company Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all - bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact. The Department: Data At Gemini, our Data Team is the engine that powers insight, innovation, and trust across the company. We bring together world-class data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists - all working in harmony to transform raw information into secure, reliable, and actionable intelligence. From building scalable pipelines and platforms, to enabling cutting-edge machine learning, to ensuring governance and cost efficiency, we deliver the foundation for smarter decisions and breakthrough products. We thrive at the intersection of crypto, technology, and finance, and we're united by a shared mission: to unlock the full potential of Gemini's data to drive growth, efficiency, and customer impact. The Role: Staff Data Scientist, Machine Learning (Risk) As a Staff Data Scientist focused on Machine Learning for Risk, you'll play a key role in protecting our customers and platform. You'll work cross-functionally with product, engineering, and operations to design and deploy models that detect, prevent, and mitigate fraud risk across Gemini's ecosystem. You'll own the full machine learning lifecycle from identifying fraud signals and engineering features to training, evaluating, and deploying models in production. You'll partner with stakeholders across Trust & Safety, Exchange Growth, and Credit Card to improve risk scoring, detect new fraud patterns, and enhance our ability to distinguish bad actors from trusted customers. This is a high-impact, hands-on individual contributor role with opportunities for technical leadership and mentorship. This role is required to be in person twice a week at either our San Francisco, CA or New York City, NY office. Responsibilities: Analyze large, complex datasets to identify key fraud indicators and engineer predictive features using internal and external data sources. Design, train, and deploy machine learning models to identify and prevent fraud, including payment fraud, account takeovers, and identity abuse. Build and maintain end-to-end data and model pipelines for risk scoring, anomaly detection, and behavioral profiling. Evaluate model performance through experiments, backtesting, and continuous monitoring to improve capture rates and reduce false positives. Partner with product managers, engineers, and fraud operations to translate model outputs into effective prevention strategies and user-facing features. Communicate findings and recommendations to technical and non-technical audiences, influencing strategy and prioritization. Stay current on emerging fraud tactics and machine learning approaches to continually evolve Gemini's defenses. Minimum Qualifications: Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. 8+ years of experience (5+ years with PhD) applying data science and machine learning to financial, payments, or fraud-related problems. 3+ years of experience developing, deploying, and maintaining production-grade ML models, ideally for real-time or large-scale applications. Strong proficiency in Python and relevant modeling libraries (eg, scikit-learn, xgboost, TensorFlow, PyTorch) and SQL. Experience with data processing and model lifecycle tools such as Databricks, SageMaker, Snowflake, MLflow, or similar. Familiarity with orchestration and data pipeline frameworks (e.g., Airflow, Spark). Demonstrated ability to work cross-functionally with product, engineering, and operations teams. Excellent communication skills and the ability to translate complex technical concepts into actionable insights. Preferred Qualifications: Master's degree or equivalent experience in a quantitative field. Experience with fraud modelling, risk scoring, or anomaly detection in fintech, banking, or crypto. Familiarity with blockchain data and on-chain analytics for detecting illicit activity. Understanding of model governance, interpretability, and fairness in regulated financial contexts. Experience mentoring data scientists / machine learning engineers or contributing to technical best practices within a team. It Pays to Work Here The compensation & benefits package for this role includes: Competitive starting salary A discretionary annual bonus Long-term incentive in the form of a new hire equity grant Comprehensive health plans 401K with company matching Paid Parental Leave Flexible time off Salary Range: The base salary range for this role is between $168,000 - $240,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate's compensation, we consider a number of factors including skillset, experience, job scope, and current market data. In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in-person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce. At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know. #LI-PA1

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description We are looking for an experienced Principal Data Scientist to evaluate new data assets, including M&A targets, strategic partners, and third‑party data providers across the credit lifecycle. You will sit at the intersection of data science, product strategy, and corporate development, rigorously assessing the predictive power, stability, scalability, and regulatory viability of external datasets. You'll partner with Product, Corporate Development, Legal, Risk, and external counterparties. You will report to the VP of Analytics Product Build, Innovation, and Scores. This role is fully remote. You'll have opportunity to: Evaluate traditional, alternative, transactional, and raw datasets for use in underwriting, portfolio management, collections, and fraud. Lead quantitative due diligence for M&A targets and data partnerships, assessing data quality, depth, coverage, stability, and scalability. Design and implement validation frameworks to measure predictive lift, segmentation value, and incremental performance versus incumbent data. Conduct benchmarking and champion/challenger analyses comparing external data assets with internal attributes, scores, and models. Engineer consumer, account, or business-level features from raw or event-level data, especially for early-stage data providers. Develop and test feature construction methods (recency, frequency, velocity, volatility, trend, and stability) to evaluate modeling potential. Assess data assets across the full credit lifecycle-acquisition, underwriting, account management, early warning, and loss mitigation. Translate analytical findings into investment theses, valuation inputs, and go/no-go recommendations for Product and Corporate Development. Evaluate regulatory and compliance considerations: explainability, permissible purpose, adverse action suitability, data provenance, and governance. Partner with Legal and Privacy teams to assess consent, permissible use, data rights, and regulatory risks. Build repeatable toolkits, scorecards, and dashboards to standardize how data assets are evaluated. Lead technical deep dives and data reviews with external data providers, fintechs, and potential acquisition targets. Present findings to senior partners through executive-ready materials that communicates risk, value, integration effort, and strategic fit. Support post‑acquisition or post‑partnership integration through guidance on feature pipelines, monitoring strategies, and performance tracking. Qualifications 5+ years of experience in data science, credit risk analytics, or advanced analytics within financial services, FinTech, or data-driven platforms. Hands-on experience transforming raw transactional, event-level, or unstructured data into model-ready features. Proficiency in Python (Pandas, NumPy, SciPy, scikit‑learn, SQLAlchemy) for feature engineering, validation, and analysis. Advanced SQL experience with large, multi-source datasets. Experience with credit risk metrics and model evaluation (AUC, KS, lift, PSI, stability, and back‑testing). Experience designing incremental value tests, challenger analyses, and controlled experiments. Summarize complex analytical outcomes into clear, defensible business recommendations. Comfortable presenting in high‑visibility, decision-oriented environments. Experience collaborating across Product, Risk, Legal, Compliance, and Strategy teams. Experience supporting M&A due diligence, data acquisitions, or strategic partnership evaluations. Familiarity with fair lending expectations, model explainability, and regulatory compliance for new data usage. Experience evaluating early-stage fintechs or data-as-a-service providers with developing data products. Exposure to ML models used for underwriting, fraud, or early-warning systems. Experience building standardized evaluation frameworks or internal analytics guides. Understanding of data commercialization and productization considerations. Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

About the Company Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all - bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact. The Department: Data At Gemini, our Data Team is the engine that powers insight, innovation, and trust across the company. We bring together world-class data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists - all working in harmony to transform raw information into secure, reliable, and actionable intelligence. From building scalable pipelines and platforms, to enabling cutting-edge machine learning, to ensuring governance and cost efficiency, we deliver the foundation for smarter decisions and breakthrough products. We thrive at the intersection of crypto, technology, and finance, and we're united by a shared mission: to unlock the full potential of Gemini's data to drive growth, efficiency, and customer impact. The Role: Principal Data Scientist, Machine Learning (Growth) As a Principal Data Scientist focused on Machine Learning for Growth, you'll play a key role in improving our customer experience from onboarding to new product adoption. You'll work cross-functionally with product, engineering, and operations to design and deploy models that improve customer onboarding and product adoption across Gemini's ecosystem. You'll own the full machine learning lifecycle from identifying growth signals and engineering features to training, evaluating, and deploying models in production. You'll partner with stakeholders across Marketing, Exchange Growth, and Credit Card to profitably improve customer growth. This is a high-impact, hands-on individual contributor role with opportunities for technical leadership and mentorship. This role is required to be in person twice a week at our San Francisco or New York City. Responsibilities: Analyze large, complex datasets to identify opportunities to proactively improve onboarding and product adoption opportunities and engineer predictive features using internal and external data sources. Design, train, and deploy machine learning models to identify growth opportunities, including lifetime value, marketing channel optimization, and product cross-sell models. Build and maintain end-to-end data and model pipelines for marketing and growth, including onboarding & adoption anomaly detection and behavioral profiling of growth drivers. Evaluate model performance through experiments, backtesting, and continuous monitoring to improve adoption rates and improve customer acquisition cost. Partner with product managers, engineers, and customer service operations to translate model outputs into effective growth strategies and user-facing features. Communicate findings and recommendations to technical and non-technical audiences, influencing strategy and prioritization. Mentor and guide more junior and mid-level data scientists & machine learning engineers: lead code reviews, design reviews, and best practice evangelism. Help recruit and onboard new talent, shaping the future of Gemini's machine learning discipline. Stay up to date on new tools, technologies, and machine learning approaches, bringing proposals and proof-of-concepts when appropriate. Minimum Qualifications: 10+ years of experience (7+ years with PhD) applying data science and machine learning in financial, payments, or B2C platforms. 5+ years of experience developing, deploying, and maintaining production-grade ML models, ideally for real-time or large-scale applications. Strong proficiency in Python and relevant modeling libraries (eg, scikit-learn, xgboost, TensorFlow, PyTorch) and SQL. Experience with data processing and model lifecycle tools such as Databricks, SageMaker, Snowflake, MLflow, or similar. Familiarity with orchestration and data pipeline frameworks (e.g., Airflow, Spark). Demonstrated ability to work cross-functionally with product, engineering, and operations teams. Excellent communication skills and the ability to translate complex technical concepts into actionable insights. Preferred Qualifications: Master's degree or equivalent experience in a quantitative field. Domain expertise in crypto / blockchain / Web3 data (on-chain data, DeFi protocols, transaction analytics). Experience with lifetime value, marketing mix, or product recommendation models in fintech, banking, or crypto. Understanding of model governance, interpretability, and fairness in regulated financial contexts. Experience mentoring data scientists / machine learning engineers or contributing to technical best practices within a team. Proven experience in recruiting, mentoring, leading design discussions, and influencing data science and machine learning best practices across teams. It Pays to Work Here The compensation & benefits package for this role includes: Competitive starting salary A discretionary annual bonus Long-term incentive in the form of a new hire equity grant Comprehensive health plans 401K with company matching Paid Parental Leave Flexible time off Salary Range: The base salary range for this role is between $192,500 - $275,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate's compensation, we consider a number of factors including skillset, experience, job scope, and current market data. In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in-person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce. At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know. #LI-PA1

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. We are looking for an experienced Principal Data Scientist to evaluate new data assets, including M&A targets, strategic partners, and third‑party data providers across the credit lifecycle. You will sit at the intersection of data science, product strategy, and corporate development, rigorously assessing the predictive power, stability, scalability, and regulatory viability of external datasets. You'll partner with Product, Corporate Development, Legal, Risk, and external counterparties. You will report to the VP of Analytics Product Build, Innovation, and Scores. This role is fully remote. You'll have opportunity to: + Evaluate traditional, alternative, transactional, and raw datasets for use in underwriting, portfolio management, collections, and fraud. + Lead quantitative due diligence for M&A targets and data partnerships, assessing data quality, depth, coverage, stability, and scalability. + Design and implement validation frameworks to measure predictive lift, segmentation value, and incremental performance versus incumbent data. + Conduct benchmarking and champion/challenger analyses comparing external data assets with internal attributes, scores, and models. + Engineer consumer, account, or business-level features from raw or event-level data, especially for early-stage data providers. + Develop and test feature construction methods (recency, frequency, velocity, volatility, trend, and stability) to evaluate modeling potential. + Assess data assets across the full credit lifecycle-acquisition, underwriting, account management, early warning, and loss mitigation. + Translate analytical findings into investment theses, valuation inputs, and go/no-go recommendations for Product and Corporate Development. + Evaluate regulatory and compliance considerations: explainability, permissible purpose, adverse action suitability, data provenance, and governance. + Partner with Legal and Privacy teams to assess consent, permissible use, data rights, and regulatory risks. + Build repeatable toolkits, scorecards, and dashboards to standardize how data assets are evaluated. + Lead technical deep dives and data reviews with external data providers, fintechs, and potential acquisition targets. + Present findings to senior partners through executive-ready materials that communicates risk, value, integration effort, and strategic fit. + Support post‑acquisition or post‑partnership integration through guidance on feature pipelines, monitoring strategies, and performance tracking. + 5+ years of experience in data science, credit risk analytics, or advanced analytics within financial services, FinTech, or data-driven platforms. + Hands-on experience transforming raw transactional, event-level, or unstructured data into model-ready features. + Proficiency in Python (Pandas, NumPy, SciPy, scikit‑learn, SQLAlchemy) for feature engineering, validation, and analysis. + Advanced SQL experience with large, multi-source datasets. + Experience with credit risk metrics and model evaluation (AUC, KS, lift, PSI, stability, and back‑testing). + Experience designing incremental value tests, challenger analyses, and controlled experiments. + Summarize complex analytical outcomes into clear, defensible business recommendations. + Comfortable presenting in high‑visibility, decision-oriented environments. + Experience collaborating across Product, Risk, Legal, Compliance, and Strategy teams. + Experience supporting M&A due diligence, data acquisitions, or strategic partnership evaluations. + Familiarity with fair lending expectations, model explainability, and regulatory compliance for new data usage. + Experience evaluating early-stage fintechs or data-as-a-service providers with developing data products. + Exposure to ML models used for underwriting, fraud, or early-warning systems. + Experience building standardized evaluation frameworks or internal analytics guides. + Understanding of data commercialization and productization considerations. Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

We are looking for an experienced Principal Data Scientist to evaluate new data assets, including M&A targets, strategic partners, and third‑party data providers across the credit lifecycle. You will sit at the intersection of data science, product strategy, and corporate development, rigorously assessing the predictive power, stability, scalability, and regulatory viability of external datasets. You'll partner with Product, Corporate Development, Legal, Risk, and external counterparties. You will report to the VP of Analytics Product Build, Innovation, and Scores. This role is fully remote. You'll have opportunity to: * Evaluate traditional, alternative, transactional, and raw datasets for use in underwriting, portfolio management, collections, and fraud. * Lead quantitative due diligence for M&A targets and data partnerships, assessing data quality, depth, coverage, stability, and scalability. * Design and implement validation frameworks to measure predictive lift, segmentation value, and incremental performance versus incumbent data. * Conduct benchmarking and champion/challenger analyses comparing external data assets with internal attributes, scores, and models. * Engineer consumer, account, or business-level features from raw or event-level data, especially for early-stage data providers. * Develop and test feature construction methods (recency, frequency, velocity, volatility, trend, and stability) to evaluate modeling potential. * Assess data assets across the full credit lifecycle-acquisition, underwriting, account management, early warning, and loss mitigation. * Translate analytical findings into investment theses, valuation inputs, and go/no-go recommendations for Product and Corporate Development. * Evaluate regulatory and compliance considerations: explainability, permissible purpose, adverse action suitability, data provenance, and governance. * Partner with Legal and Privacy teams to assess consent, permissible use, data rights, and regulatory risks. * Build repeatable toolkits, scorecards, and dashboards to standardize how data assets are evaluated. * Lead technical deep dives and data reviews with external data providers, fintechs, and potential acquisition targets. * Present findings to senior partners through executive-ready materials that communicates risk, value, integration effort, and strategic fit. * Support post‑acquisition or post‑partnership integration through guidance on feature pipelines, monitoring strategies, and performance tracking. Qualifications * 5+ years of experience in data science, credit risk analytics, or advanced analytics within financial services, FinTech, or data-driven platforms. * Hands-on experience transforming raw transactional, event-level, or unstructured data into model-ready features. * Proficiency in Python (Pandas, NumPy, SciPy, scikit‑learn, SQLAlchemy) for feature engineering, validation, and analysis. * Advanced SQL experience with large, multi-source datasets. * Experience with credit risk metrics and model evaluation (AUC, KS, lift, PSI, stability, and back‑testing). * Experience designing incremental value tests, challenger analyses, and controlled experiments. * Summarize complex analytical outcomes into clear, defensible business recommendations. * Comfortable presenting in high‑visibility, decision-oriented environments. * Experience collaborating across Product, Risk, Legal, Compliance, and Strategy teams. * Experience supporting M&A due diligence, data acquisitions, or strategic partnership evaluations. * Familiarity with fair lending expectations, model explainability, and regulatory compliance for new data usage. * Experience evaluating early-stage fintechs or data-as-a-service providers with developing data products. * Exposure to ML models used for underwriting, fraud, or early-warning systems. * Experience building standardized evaluation frameworks or internal analytics guides. * Understanding of data commercialization and productization considerations. Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

The Data Analyst- Forecast Performance & Competitive Insights will play a key role in advancing AccuWeather's leadership in forecast accuracy as well as project management. This position will support the Forecasting Operations team by comparing AccuWeather forecasts against those of other sources, identifying trends and deviations, and delivering insights that drive operational improvement and business differentiation. They will collaborate with meteorologists, data scientists, and leadership to rigorously evaluate forecast outcomes and support strategic initiatives across the organization. In addition, there will be project management responsibilities at times working toward improving our products and forecasts. This is a Part-time or Internship position. Must be willing to work on Saturday and Sunday, sometimes in the evening, to ensure needed data is captured and properly verified and reported on in a timely manner. There will be times when the candidate is asked to help during the week for vacation or sickness coverage. There is also the possibility that the position grows into opportunities for additional routine hours during the week. KEY RESPONSIBILITIES Collect, normalize, and analyze forecast data from AccuWeather and other sources across various geographies and timeframes. Develop and maintain metrics dashboards and automated reporting that reflect forecast accuracy, bias, timeliness, and reliability. Work with team members and Manager, Forecasting Technology on firm process and tools to complete tasks and report Produce actionable insights that inform continuous improvement of AccuWeather's operational forecasts. Develop them into Proof of Performance documents that showcase AccuWeather's Superior Accuracy™ Assist in the design and refinement of forecast evaluation tools, including visualization interfaces and comparative analytics. Support internal and external communication of AccuWeather's forecast superiority using data-driven evidence. Working with the Sr. Director, Strategic Projects, assist with project management and specification writing on an as-needed basis. Work mainly on weekends but also asked at times to fill in during the week for vacation and sickness situations. QUALIFICATIONS Working towards or have a Bachelor's degree in Data Science, Meteorology, Statistics, Computer Science, or related field. 2+ years of experience in data analysis, preferably involving large-scale, time-series or geospatial data a plus. Proficiency in Python, R, or SQL; experience with tools like Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Plotly, Tableau). Understanding weather data formats and forecast models is highly desirable. Strong analytical thinking and communication skills-able to translate complex data into actionable insights. Attention to detail and commitment to data integrity and accuracy. Ability to work independently and collaboratively in a fast-paced, mission-driven environment. Ability to multi-task while staying detail oriented Strong communication skills, verbally and in writing, and ability to maintain a style, format, and philosophy as set forth by AccuWeather. ABOUT ACCUWEATHER AccuWeather, recognized and documented as the most accurate and most used source of weather forecasts and warnings in the world, has saved over 12,000 lives, prevented injury to over 100,000 people, and saved companies tens of billions of dollars through better planning and decision-making. Billions of people around the world rely on AccuWeather's proven Superior Accuracy™ across our consumer digital platforms. AccuWeather.com is the #1 weather destination and one of the top 100 most-visited websites in the world, and our award-winning AccuWeather app delivers detailed real-time forecasts to millions of smartphones. AccuWeather forecasts also appear on digital signage, in 700 newspapers, are heard on over 400 radio stations, and viewed on 100 television stations. The AccuWeather Network and AccuWeather NOW reach an audience of over 125 million on cable and streaming platforms including DirecTV, Charter Communications - Spectrum, Verizon, Philo, Frndly TV, Comcast's Xfinity X1 and Xfinity Stream, Roku, Xumo, Rockbot, LG, and Amazon Freevee. AccuWeather For Business serves more than half of the Fortune 500 companies and thousands of other businesses and government agencies globally. Dr. Joel Myers, Founder and Executive Chairman, established AccuWeather in 1962 and is considered the “father of modern commercial meteorology.” Myers, a leading creative thinker and visionary, has been called “the most accurate man in weather” by The New York Times and has been recognized as one of the top entrepreneurs in American history by Entrepreneur's Encyclopedia of Entrepreneurs. COMMITMENT TO DIVERSITY & INCLUSION AccuWeather is proud to be an Equal Opportunity/Affirmative Action Employer. We are committed to equal employment opportunity to all applicants and existing employees and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. AccuWeather is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to ******************************* and let us know the nature of your request and your contact information.

McJ is looking for a highly motivated and detail-oriented Data Analyst with experience in dashboarding and Alteryx. The successful candidate will have the opportunity to create, maintain, and optimize dashboards and automating data workflows to provide actionable insights across various departments. This role will also contribute to data-driven decision-making, ensuring that reports and analyses are both accurate and impactful. The position reports into the Principal Data Scientist and collaborates closely with business stakeholders to support organizational goals. Responsibilities: Data Reporting & Dashboarding Design, create, and maintain interactive dashboards using tools such as Tableau, Power BI, or similar platforms to visualize key metrics and business performance. Deliver accurate and timely reports, including visual data insights and ad hoc analysis as required by business units. Collaborate with stakeholders to understand their needs and customize reports and dashboards to meet these requirements. Automate data extraction and transformation processes using Alteryx to improve data workflows and reporting efficiency. Data Analysis & Insights Analyze complex data sets to identify trends, opportunities, and areas for improvement. Provide actionable insights to various departments to support business decisions and optimize operational performance. Assist in preparing financial, operational, and performance reports for leadership teams. Data Quality & Automation Ensure the integrity of data by performing quality checks and addressing discrepancies in datasets and dashboards. Leverage Alteryx for data transformation, automation of repetitive processes, and streamlining ETL workflows. Continuously improve data processes and workflows for greater efficiency and scalability. Collaboration & Communication Work closely with cross-functional teams including IT, marketing, finance, and operations to gather requirements and provide data-driven solutions. Assist teams in the use and understanding of data visualizations, ensuring they are equipped to leverage insights effectively. Forecasting & Reporting Assist in the creation of data-driven forecasts, tracking KPIs, and maintaining historical performance data. Prepare and present regular reports on data trends and forecasting accuracy to the management team. Ad Hoc Analysis Participate in ad-hoc data analysis projects to support business initiatives and strategic planning. Maintain flexibility to adapt to shifting priorities and evolving project requirements. Required Skills/Abilities: Strong proficiency in Alteryx Designer for data transformation, automation, and ETL processes. Proven experience in designing and maintaining dashboards using Tableau, Power BI, or similar tools. Proficiency in Excel and SQL for data analysis and reporting. Ability to analyze large datasets and provide actionable insights that influence business decisions. Strong attention to detail and accuracy, especially when handling large volumes of data. Excellent communication skills, both written and verbal, with the ability to present complex data to non-technical audiences. Ability to work in a fast-paced environment, manage multiple priorities, and meet deadlines. Strong problem-solving skills and ability to troubleshoot data issues and workflow inefficiencies. Self-motivated with a passion for continuous learning and improving data processes. Preferred Qualifications: Bachelor's degree in Statistics, Economics, Business, Computer Science, or a related field. Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, or Azure). Experience with Alteryx Server administration and orchestration. This is a remote position. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Do you have a passion for problem solving and a desire to drive meaningful change in the industry? If so, we invite you to join our dynamic Enterprise Data Warehouse Team. We are seeking to 2 (Associate) Data Analyst - Enterprise Solutions at Quartz, a provider-sponsored health plan dedicated to improving the health and well-being of our communities. The (Associate) Data Analyst - Enterprise Solutions will partner with business resources to evaluate data needs and translate into deliverables for internal users and analytics applications as well as external entities including third party data feeds, regulatory, and governmental data needs. The (Associate) Data Analyst - Enterprise Solutions will use the following skills: Source to target documentation Basic to Intermediate knowledge of SQL and analytical software Apply data warehousing principles to load or provision data to third parties Apply healthcare domain knowledge when partnering with business resources to determine data needs Benefits: Work in new cloud-based data architecture leveraging snowflake and Azure environment. Work directly with internal and third-party business users to develop data solutions for the organization's growing analytic needs. Starting salary range based upon skills and experience for Associate Data Analyst level: $60,100 - $75,200 plus total rewards package. Starting salary range based upon skills and experience Data Analyst level: $77,200 - $90,000 plus total rewards package. Responsibilities Collaborate with business users, external vendors and/or government entities to obtain data requirements for new analytics applications and data feeds or enhancement of existing products. Uncover appropriate sources of data for proposed application or data warehousing extension profiling data to ensure fitness for business purpose. Coordinate business requirements for the data and provide consultation to internal stakeholders to support their data needs. Understand source and target data structures, using standard data tools to review required data and fully profile the data to analyze its ability to meet the business needs. Complete impact assessments and ad hoc analyses to ensure that production issues and other reported deficiencies are adequately understood and resolved by updating requirements. Translate requirements into technical requirement specifications, appropriately documenting the solution via Report Specifications, Data Flow Diagrams, and Source to Target (STT) documents. Qualifications Bachelor's Degree with 2+ years of relevant work experience OR associate degree with 5+ years of relevant work experience OR high school equivalency with 8+ years of relevance work experience Associate-level Education Qualifications: Bachelor's degree with 0+ years of relevant work experience OR associate degree with 2+ years of relevant work experience OR high school equivalency with 5+ years of relevant work experience Strong communication skills with a passion for bridging the gap between business and technical users Data analysis experience with an emphasis on loading a data warehouse or provisioning the data to third parties Experience with source to target documentation Excellent documentation and written communication skills Domain knowledge (healthcare, EHS, managed care, Medicare, etc.) Basic to Intermediate knowledge of SQL, analytical software, query tools Basic to Intermediate knowledge of data warehousing principles including provenance, lineage, etc. and applies best practices Ability to manage multiple projects simultaneously, work independently, under pressure, and be adaptable to change Must be inquisitive and seek answers to complex questions without being prompted Create strong relationships and provide positive experiences for internal partners Hardware and equipment will be provided by the company, but candidates must have access to high-speed, non-satellite Internet to successfully work from home. We offer an excellent benefit and compensation package, opportunity for career advancement and a professional culture built on the foundations of Respect, Responsibility, Resourcefulness and Relationships. To support a safe work environment, all employment offers are contingent upon successful completion of a pre-employment criminal background check. Quartz values and embraces diversity and is proud to be an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, gender identity or expression, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified person with disability. #LI-DNI We can recommend jobs specifically for you! Click here to get started.

Requirements Job Requirements and Experience A Bachelor's Degree: A 4-year course of study leading to a bachelor's degree conferred or approved by an accredited U.S. college or university based on a 4- year course of study. Simply being enrolled and working toward a degree does not meet the qualification standard. Proposed candidates must furnish transcripts showing completion of degree requirements to the Government for review. At least four (4) years of documented experience in Data Management or Data Analyst positions. For each position, the Contractor shall provide the Government with the proposed candidate's resume for review and approval. Qualifications must prove that the proposed individual has the required experience in providing data analyst support to a Federal Government agency or entity. An acceptable example of support does not include general data entry. Qualifications shall include: Demonstrated ability to use the Microsoft Suite of software applications to create and maintain documents and communications. Documented ability to maintain and practice operational security (OPSEC) in the performance of daily duties and to report OPSEC issues or concerns. Documented experience crafting and running Microsoft Excel scripts and codes to double-check the accuracy of information and work products to provide consistently accurate and high-quality work. Demonstrated experience managing various data formats such as those created and maintained in Microsoft Office products. Documented ability to apply different strategies for acquiring data and analyzing information to make reasonable inferences or draw well-supported conclusions. Experience using available tools and techniques to creatively solve problems or manage large data sets. Experience being thorough and precise when accomplishing a task with concern for all aspects of the job involved. Documented ability to develop and administer tracking mechanisms, user tools, and worksheets as necessary to track productivity, ensure mandates are followed, meet deadlines, respond to data calls, and accomplish other requirements as needed. Demonstrated ability to juggle multiple tasks and provide updates on tasks to various levels of leadership in a timely fashion. Possession of excellent written and verbal communication skills plus strong analytical and organizational skills and abilities Experience managing procurement sensitive, law enforcement sensitive, or other secure information is preferred. In lieu of a Bachelor's Degree, the Government will accept six (6) years of experience in the data management sector. ADA Requirements Operate a PC and phone in an office environment. Work in a primarily sedentary position. Perform some bending, light lifting, and carrying of equipment may be required. Any additional office equipment that is required by the position. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected Veteran status. About the Department of Homeland Security (DHS), U.S. Immigration and Customs Enforcement (ICE), Office of Acquisition Management (OAQ) The U.S. Immigration and Customs Enforcement (ICE) is the largest investigative branch of the Department of Homeland Security (DHS). The Office of Acquisition Management (OAQ) is a highly professional, customer-focused organization within the Agency with an enterprise-wide, strategic approach to procurement. OAQ operates as a full component partner with internal and external organizations and serves as a strategic asset dedicated to improving the agency's overall performance. OAQ's goal is to deliver quality acquisition solutions in support of the DHS and ICE missions, and its main function is procuring various products and services such as: Law enforcement services and products, including body armor, handcuffs, hand restraints, guns, and ammunition Detention and removal services such as temporary housing, food, clothing, and transportation, including air charter flights Operational support like data analysis, translation services, interpreter services, and clerical support Information Technology supplies and services, including computers, security equipment, software licenses, and telecommunications equipment About Grey Street Consulting, LLC Grey Street is a small, federal contracting firm. Founded in 2015, Grey Street has already established itself as a leading small business provider of federal human resources (HR) services. Grey Street provides staff augmentation support to numerous federal agencies including but not limited to the U.S. Departments of Transportation (DOT), Health and Human Services (HHS), Energy (DOE), Labor (DOL), and Homeland Security (DHS) just to name a few. Our approach to the delivery of professional services is rooted in our deep subject matter expertise and supported by our ability to effectively manage our client's needs and expectations while delivering measurable results. Grey Street offers a robust benefit package which includes comprehensive medical, dental, and 401k with a guaranteed match!! To learn more about Grey Street click here: **********************************

We are a crowdfunded company and have a dedicated and enthusiastic community of backers who are helping us create the "Best Damn Space Sim Ever". We want to build the best we can deliver and we believe wholeheartedly in the value of exceptional diverse talent. Founded in 2012 by renowned game developer Chris Roberts, Cloud Imperium Games (CIG) is one of the largest global independent studios, dedicated to delivering next-generation AAA games. CIG prides itself in thinking outside the box, encouraging creativity and developing ground-breaking technology. CIG believes in raising the bar for the gaming industry and the community as a whole. About the Role: Our Data Solutions team serves as the analytical backbone that transforms complex gaming data into actionable insights for our development, marketing, and sales teams. The Data Analyst will leverage cloud platforms (Google Cloud Platform and AWS) and other advanced analytics tools to analyze website analytics, internal performance metrics, and live game data to drive improvements in sales, game stability, and player engagement. Working within our cloud-first environment, you'll collaborate closely with cross-functional teams to ensure data accuracy and performance while delivering clear, data-driven insights that shape the future of our gaming experiences. You'll connect designers and engineers with visualizations of the data they produce, audit data storage and collection, build data processing jobs, and provide actionable insights through dashboards and reports to promote data-driven decisions. This position is based on site at our studio in Bee Cave, TX. What do our Data Analysts do? * Design, build, and maintain dashboards, visualizations and reports. * Audit metrics for malformed/unoptimized data. * Design and implement automation jobs for transformation and aggregation. * Collaborate with stakeholders and translate their requests to actionable results. * Highlight trends that can provide marketing and sales insight. * Educate analytics consumers on usage of data visualization software. * Prepare regular reports on sales and marketing performance. * Identify areas for improvement of visual reporting. * Continual education in new technologies and methodologies. What would we expect from our Data Analysts? * Three or more years' experience as an analyst or other relevant experience. * Strong communication skills, written and verbal, with ability to present complex data insights clearly. * Attention to detail and consistent self-review practices. * Eye for aesthetically pleasing visuals and user-friendly dashboard design. * Proficiency with SQL and experience working within cloud platforms (Google Cloud Platform and AWS). * Ability to break down technical concepts to non-technical stakeholders across various departments. * Hands-on experience with one or more of the following technologies: * Python for data analysis and automation * Google Analytics for web and user behavior analysis * Cloud Platforms (Google Cloud Platform and AWS) * ElasticSearch for data search and analytics * Kibana for data visualization and monitoring * Tableau for business intelligence and reporting Diversity Statement CIG is a global company, staunchly committed to cultivating a culture and workplace that celebrates all backgrounds, lifestyles, and perspectives. Together, we are creating a space where authentic recognition, appreciation, and understanding of the importance of diversity is fostered by everyone. As an Equal Opportunity Employer, we strive to build a team that represents all walks of life, and we want every employee to bring all the things that make them unique to the work environment. The universe is as vast and varied as the people in it, and it's our differences that make it special. Fraud Statement We are aware of people receiving job offers that fraudulently allege to be from CIG. These types of fraud can be carried out through false websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal info like bank account numbers, identification numbers, etc through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reaching out to us at info[@]cloudimperiumgames.com with any information you may have. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Sony Pictures Entertainment (SPE) is home to some of the world's most beloved films and television series. From Cobra Kai to The Night Agent, our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We're looking for a Data Scientist with expertise in statistics and advanced machine learning to join our team. You'll work on high-impact projects that combine advanced analytics, machine learning, and experimentation to drive smarter decisions across SPE's production and content distribution businesses. What You'll Do: - Explore and analyze large, complex datasets to uncover audience insights and optimize content adoption. - Build and deploy predictive models and advanced analytics that guide business and creative strategies.- Manage cleansing and feature extraction of large unstructured data and develop insights on top of it- Apply LLMs, prompt engineering, and fine-tuning to tasks such as text analysis, summarization, metadata enrichment, and content tagging- Partner with engineers to productionalize machine learning models and monitor performance.- Create clear, compelling visualizations and communicate insights to both technical and non-technical audiences.- Collaborate with cross-functional partners (marketing, distribution, strategy, finance) to translate data insights into real-world business actions.- Research and test emerging machine learning techniques to keep SPE at the cutting edge. - Champion data-driven decision making within the organization by presenting findings to senior leaders. - Stay at the forefront of data science research and tools, and champion adoption across the ISA team. What We're Looking For: - Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Math, etc.); advanced degree a plus.- 6+ years of applied experience in data science, analytics, or machine learning.- Proficiency in Python and SQL.- Expertise with statistical modeling and building predictive models.- In depth knowledge of machine learning techniques, variable reduction, feature importance, and model interpretability- Experience with MLOps practices - model lifecycle management, containerization, workflow orchestration (Airflow, Kubeflow).- Familiarity with generative AI (LLMs, prompt engineering, fine-tuning) and open-source frameworks (Hugging Face, LangChain, etc.).- Excellent communication skills - ability to turn complex data into actionable recommendations.- Highly analytical, results oriented, have superior organizational skills with strong attention to details and deadlines in a fast-moving environment Nice to have: - Experience in the media & entertainment industry.- Familiarity with data visualization tools (Tableau, Power BI, Dash, or Shiny).- Experience applying GenAI for audience research, recommendation systems, or content insights. Why Join Us: - Shape the future of entertainment - your work will directly influence how audiences around the world discover and enjoy Sony content.- Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges.- Be part of a culture that values curiosity, innovation, and continuous learning, with access to professional development and cutting-edge tools.- Enjoy the benefits of working at a global studio while contributing to projects that matter. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

Sony Pictures Entertainment (SPE) is home to some of the world's most beloved films and television series. From Cobra Kai to The Night Agent, our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We're looking for a Data Scientist with expertise in statistics and advanced machine learning to join our team. You'll work on high-impact projects that combine advanced analytics, machine learning, and experimentation to drive smarter decisions across SPE's production and content distribution businesses. What You'll Do: * Explore and analyze large, complex datasets to uncover audience insights and optimize content adoption. * Build and deploy predictive models and advanced analytics that guide business and creative strategies. * Manage cleansing and feature extraction of large unstructured data and develop insights on top of it * Apply LLMs, prompt engineering, and fine-tuning to tasks such as text analysis, summarization, metadata enrichment, and content tagging * Partner with engineers to productionalize machine learning models and monitor performance. * Create clear, compelling visualizations and communicate insights to both technical and non-technical audiences. * Collaborate with cross-functional partners (marketing, distribution, strategy, finance) to translate data insights into real-world business actions. * Research and test emerging machine learning techniques to keep SPE at the cutting edge. * Champion data-driven decision making within the organization by presenting findings to senior leaders. * Stay at the forefront of data science research and tools, and champion adoption across the ISA team. What We're Looking For: * Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Math, etc.); advanced degree a plus. * 6+ years of applied experience in data science, analytics, or machine learning. * Proficiency in Python and SQL. * Expertise with statistical modeling and building predictive models. * In depth knowledge of machine learning techniques, variable reduction, feature importance, and model interpretability * Experience with MLOps practices - model lifecycle management, containerization, workflow orchestration (Airflow, Kubeflow). * Familiarity with generative AI (LLMs, prompt engineering, fine-tuning) and open-source frameworks (Hugging Face, LangChain, etc.). * Excellent communication skills - ability to turn complex data into actionable recommendations. * Highly analytical, results oriented, have superior organizational skills with strong attention to details and deadlines in a fast-moving environment Nice to have: * Experience in the media & entertainment industry. * Familiarity with data visualization tools (Tableau, Power BI, Dash, or Shiny). * Experience applying GenAI for audience research, recommendation systems, or content insights. Why Join Us: * Shape the future of entertainment - your work will directly influence how audiences around the world discover and enjoy Sony content. * Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges. * Be part of a culture that values curiosity, innovation, and continuous learning, with access to professional development and cutting-edge tools. * Enjoy the benefits of working at a global studio while contributing to projects that matter. The anticipated base salary for this position is $112K to $146K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

Sony Pictures Entertainment (SPE) is home to some of the world's most beloved films and television series. From Cobra Kai to The Night Agent, our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We're looking for a Data Scientist with expertise in statistics and advanced machine learning to join our team. You'll work on high-impact projects that combine advanced analytics, machine learning, and experimentation to drive smarter decisions across SPE's production and content distribution businesses. What You'll Do: • Explore and analyze large, complex datasets to uncover audience insights and optimize content adoption. • Build and deploy predictive models and advanced analytics that guide business and creative strategies. • Manage cleansing and feature extraction of large unstructured data and develop insights on top of it • Apply LLMs, prompt engineering, and fine-tuning to tasks such as text analysis, summarization, metadata enrichment, and content tagging • Partner with engineers to productionalize machine learning models and monitor performance. • Create clear, compelling visualizations and communicate insights to both technical and non-technical audiences. • Collaborate with cross-functional partners (marketing, distribution, strategy, finance) to translate data insights into real-world business actions. • Research and test emerging machine learning techniques to keep SPE at the cutting edge. • Champion data-driven decision making within the organization by presenting findings to senior leaders. • Stay at the forefront of data science research and tools, and champion adoption across the ISA team. What We're Looking For: • Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Math, etc.); advanced degree a plus. • 6+ years of applied experience in data science, analytics, or machine learning. • Proficiency in Python and SQL. • Expertise with statistical modeling and building predictive models. • In depth knowledge of machine learning techniques, variable reduction, feature importance, and model interpretability • Experience with MLOps practices - model lifecycle management, containerization, workflow orchestration (Airflow, Kubeflow). • Familiarity with generative AI (LLMs, prompt engineering, fine-tuning) and open-source frameworks (Hugging Face, LangChain, etc.). • Excellent communication skills - ability to turn complex data into actionable recommendations. • Highly analytical, results oriented, have superior organizational skills with strong attention to details and deadlines in a fast-moving environment Nice to have: • Experience in the media & entertainment industry. • Familiarity with data visualization tools (Tableau, Power BI, Dash, or Shiny). • Experience applying GenAI for audience research, recommendation systems, or content insights. Why Join Us: • Shape the future of entertainment - your work will directly influence how audiences around the world discover and enjoy Sony content. • Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges. • Be part of a culture that values curiosity, innovation, and continuous learning, with access to professional development and cutting-edge tools. • Enjoy the benefits of working at a global studio while contributing to projects that matter. The anticipated base salary for this position is $112K to $146K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. Data Analytics Intern Location: Austin, TX (Hybrid: 3 days in-office required, 2 remote) Duration: 11 weeks | Summer 2026 (June 1, 2026 through August 14,2026) _Relocation and visa sponsorship are not available_ Start Your Future with Realtor.com At Realtor.com, we're driven by a purposeful vision: to help more Americans find their way home. For more than 25 years, we've helped millions of people navigate the journey of renting, buying, and selling homes. As part of our consumer marketplace, data plays a critical role in shaping how we engage users across marketing, CRM, and product experiences. Join us this summer and gain hands-on experience using data to influence real business decisions across the consumer side of the marketplace. Why Intern With Us? Our Summer Internship Program is more than a resume builder-it's a launchpad. As a Data Analytics Intern, you'll work on real, high-impact projects, collaborate with experienced data scientists and analysts, and learn how data informs strategy across marketing, consumer engagement, and consumer product experiences. You'll receive mentorship, build technical and analytical skills, and gain exposure to how analytics supports decision-making at scale. What You'll Do Throughout the 11-week program, you will: + Support data scientists and analysts in analyzing consumer behavior and performance metrics across marketing, CRM, and/or product experiences + Assist with exploratory data analysis, reporting, and dashboarding to help teams understand trends and performance drivers + Learn and apply statistical and analytical techniques , including exposure to experimentation (A/B testing) and measurement best practices + Help translate analytical findings into clear insights and data stories for cross-functional stakeholders + Contribute to data pipelines, data validation, and visualization workflows that support analytics and experimentation + Collaborate with partners across analytics, data engineering, marketing, and product teams to understand business context and analytical needs + Present your work and learnings to the team at the end of the internship Who You Are + Curious, analytical, and motivated to learn how data drives business decisions + Comfortable working with ambiguity and eager to solve open-ended problems + Able to communicate insights clearly, both verbally and in writing + Interested in how analytics supports consumer growth, engagement, and experience + A collaborative teammate who takes initiative and seeks feedback Requirements + Currently enrolled in an accredited 4-year college or university, pursuing a Bachelor's degree in Computer Science, Statistics, Economics, Mathematics, Analytics, Business, Engineering, or a related field + Expected graduation date between December 2026 and June 2027 + Experience or coursework in one or more of the following: SQL, Python, R , or data visualization tools (e.g., Tableau) + Familiarity with data concepts such as metrics, data quality, and basic statistical analysis + Able to complete the full 11-week internship and work in Austin, TX on a hybrid schedule (3 days in office and 2 remote) + Strong attention to detail, professionalism, and willingness to take on new challenges Nice to Have (Not Required) + Exposure to experimentation concepts (e.g., A/B testing, hypothesis testing) + Experience working with large datasets or consumer-focused data + Coursework or projects involving data storytelling, dashboards, or analytics tools What to Expect + Internship postings: December 2025 - January 2026 + Interviews begin: January 2026 + Executive speaker series, team workshops, networking events, and mentorship opportunities + Exposure to Realtor.com's inclusive culture and commitment to innovation Make Your Mark at Realtor.com Your first internship should be meaningful. At Realtor.com, you'll gain real experience, grow your skills, and help shape data-informed decisions that impact millions of consumers across our marketplace. Ready to build a way home for everyone? Apply and join us for Summer 2026. Please note: Our Internship Program is based in Austin, TX, and follows a hybrid schedule (three days on-site, two days remote). Visa sponsorship and relocation assistance are not available for this program. Make Your Mark at Realtor.com You only get one first internship, so make it count. At Realtor.com, you'll do more than gain experience-you'll make an impact, grow your network, and help us build a better future for home. Ready to build a way home for everyone? Apply and join us in Summer 2026. Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals. Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets

Responsibilities : * Implementing and supporting one or more of Curinos' software solutions * Becoming the SME on our clients' data and platform configuration, including: * Configuring and customizing our solutions to client-specific data, strategies, and business needs * Mining, cleaning, and analyzing large data sets for trends or insights relevant to Curinos Solutions clients' analysis * Deriving and communicating actionable conclusions from complex data * Gathering, mapping, and validating data to power our analytical platforms * Calibrating and updating models used in solutions to enhance accuracy and impact * Conducting statistical analysis to evaluate model performance * Building out processes and procedures to more efficiently support configuration activities across our growing client base * Advising on and participating in the use of client data to support other initiatives at the firm * Completing other tasks and projects, as requested

The Data Analyst is responsible for procuring, integrating, and maintaining external data sources that enhance our platform capabilities. This role focuses on researching and evaluating new data acquisition opportunities, building sustainable data pipelines, and ensuring data quality and accessibility. The Data Analyst will work independently to identify data gaps, research potential solutions including third-party datasets and AI-powered tools, and present recommendations to leadership for strategic decision-making Primary Duties and Responsibilities: * Research and identify external data sources that align with business needs and platform enhancement goals. * Evaluate third-party data providers, subscription services, and alternative data procurement methods including AI tools and web scraping technologies. * Conduct comprehensive cost-benefit analyses of data acquisition options, documenting benefits, limitations, and integration requirements. * Design and implement automated processes to maintain data currency and quality for newly acquired datasets. * Build and maintain data pipelines to integrate data from multiple external sources into company databases. * Develop and document data procurement workflows, integration processes, and maintenance schedules. * Present findings and recommendations to leadership with clear analysis of costs, benefits, and implementation timelines. * Collaborate with product and engineering teams to ensure seamless integration of new data sources into existing systems. * Monitor data quality, identify anomalies, and implement validation checks to ensure accuracy and reliability. Additional Responsibilities: * Additional Responsibilities as assigned Critical Competencies: * Ownership & Execution - Demonstrates a sense of ownership to drive issues to closure, maximizes the use of existing processes while continuously pursuing ways to improve efficiencies, sets aggressive goals, monitors progress, and delivers results, seizes more opportunities than others * Customer-Centric - Works to understand customer pain points to effectively align technical solutions with customer's business, anticipate customer needs, and sets high standards for customer service * Manages Ambiguity & Change - Makes decisions with available information that align with strategy, embraces and manages change, challenges the status quo and champions new initiatives, comfortably handles risk and uncertainty The Individual: * Demonstrated expertise in data procurement, acquisition, and integration methodologies. * Strong research skills with ability to independently evaluate and compare data providers and technologies. * Proven ability to work independently and drive multiple data initiatives simultaneously. * Excellent analytical and problem-solving skills with keen attention to detail. * Strong communication skills to effectively present technical findings and recommendations to both technical and non-technical stakeholders. * Ability to translate business requirements into data acquisition strategies. * Self-motivated with strong organizational skills and ability to manage competing priorities. * Experience documenting technical processes and creating clear, maintainable data workflows. * Comfortable evaluating emerging technologies including AI-powered data tools. * Experience with data procurement or vendor evaluation processes * Knowledge of data center industry and related data sources * Agile/Scrum methodology experience * Understanding of data privacy regulations (GDPR, CCPA) Qualifications: * Ability to work in our Dallas, TX office full-time * Bachelor's degree in Computer Science, Data Science, Information Systems, or related quantitative field * 3-5 years of experience in a data analyst, data management or business intelligence role * 3-5 years of hands-on experience with a combination of the following technologies: * Programming Languages: SQL, Python (required) * Data Technologies: ETL processes, data pipeline development, REST APIs, web scraping, MySQL/PostgreSQL * Data Tools: Excel, data visualization tools (Tableau, Power BI - preferred), data integration platforms (Talend, Apache Airflow - preferred) * Additional Skills: Data quality and governance principles, AI-powered data tools, cloud platforms (AWS, Azure, Google Cloud - preferred) All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. All external applicants must be legally eligible to immediately work in the country of hire without current or future sponsorship. If you require an accommodation under the Americans with Disabilities Act, Section 503 of the Rehabilitation Act or similar law in order to apply for employment at Simplify Compliance, please contact our Talent Acquisition Team **************, ext. 8101. Job applicants may request to review the company's Affirmative Action plans by contacting the talent acquisition team/recruiter, Human Resources department or Chief People Officer.