Data Science Jobs 2025 (Now Hiring) – Smart Auto Apply

Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible. Requirements: Must have a valid Driver Licence; Good driving skills and clean driving record; General car knowledge would be a plus; Enjoys driving, within standard business hours; Available for a minimum of 3 months; Must have private monitored parking space for corporate vehicle; Great communication and reporting skills; Tech savvy (drivers will use Gmail, Google Forms and Google Meet); High level of responsibility; Self-motivated and detail oriented; Must be able to successfully pass a background check (criminal and driving record). We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible. Requirements Must have a valid Driver Licence; Good driving skills and clean driving record; General car knowledge would be a plus; Enjoys driving, within standard business hours; Available for a minimum of 3 months; Must have private monitored parking space for corporate vehicle; Great communication and reporting skills; Tech savvy (drivers will use Gmail, Google Forms and Google Meet); High level of responsibility; Self-motivated and detail oriented; Must be able to successfully pass a background check (criminal and driving record). We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

Company description Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last at least 3 months and will cover different city/state zones. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. You can work more than 8 hours if you will. Requirements: Must have a valid Driver License (driving experience, 1-2 yrs minimum) Must have parking for a vehicle Must be authorized to work in the US Must pass the background check Enjoys driving, with flexible schedule Available for a minimum of 3 months Responsible & Reliable Good driving skills Great communication skills High level of responsibility General car knowledge Tech savvy (smartphone and basic apps) Basic computer skills Self-motivated and detailed oriented We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible. Requirements: Must have a valid Driver Licence; Good driving skills and clean driving record; General car knowledge would be a plus; Enjoys driving, within standard business hours; Available for a minimum of 3 months; Must have private monitored parking space for corporate vehicle; Great communication and reporting skills; Tech savvy (drivers will use Gmail, Google Forms and Google Meet); High level of responsibility; Self-motivated and detail oriented; Must be able to successfully pass a background check (criminal and driving record). We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible. Requirements: Must have a valid Driver Licence; Good driving skills and clean driving record; General car knowledge would be a plus; Enjoys driving, within standard business hours; Available for a minimum of 3 months; Must have private monitored parking space for corporate vehicle; Great communication and reporting skills; Tech savvy (drivers will use Gmail, Google Forms and Google Meet); High level of responsibility; Self-motivated and detail oriented; Must be able to successfully pass a background check (criminal and driving record). We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible. Requirements: Must have a valid Driver Licence; Good driving skills and clean driving record; General car knowledge would be a plus; Enjoys driving, within standard business hours; Available for a minimum of 3 months; Must have private monitored parking space for corporate vehicle; Great communication and reporting skills; Tech savvy (drivers will use Gmail, Google Forms and Google Meet); High level of responsibility; Self-motivated and detail oriented; Must be able to successfully pass a background check (criminal and driving record). We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible. Company description Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last at least 3 months and will cover different city/state zones. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. You can work more than 8 hours if you will. Requirements: Must have a valid Driver Licence; Good driving skills and clean driving record; General car knowledge would be a plus; Enjoys driving, within standard business hours; Available for a minimum of 3 months; Must have private monitored parking space for corporate vehicle; Great communication and reporting skills; Tech savvy (drivers will use Gmail, Google Forms and Google Meet); High level of responsibility; Self-motivated and detail oriented; Must be able to successfully pass a background check (criminal and driving record). Requirements Must have a valid Driver License (driving experience, 1-2 yrs minimum) Must have parking for a vehicle Must be authorized to work in the US Must pass the background check Enjoys driving, with flexible schedule Available for a minimum of 3 months Responsible & Reliable Good driving skills Great communication skills High level of responsibility General car knowledge Tech savvy (smartphone and basic apps) Basic computer skills Self-motivated and detailed oriented We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

Company description Service Measure (SM) is a field data collection company founded in 2013 in New York. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project Objective: The main objective of the project is to test new features in the online mapping application in both day and night modes. Drivers will operate vehicles in urban areas with high traffic. The driver will work in collaboration with a co-pilot. The driver needs to note all details (whether the app is working correctly, if it’s convenient to use) in a spreadsheet. He or she will use a tablet or laptop for taking those notes and completing a survey. This data will be transferred to the client and used for further improvements. New hires will receive one day of remote training. The company will cover all project-related expenses, including vehicle rental, fuel, parking, and tolls. The project will last for 3-4 weeks, with a schedule of Monday to Friday, 7-8 hours per day, from 9 AM to 5 PM. The team will be provided with a new target daily, approximately five routes per day. Requirements: At least 3 years of driving experience Good driving skills in urban areas with high traffic Fluent English Experience using Google Spreadsheet and Google Forms Collaborative and tech-savvy

Company description Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last at least 3 months and will cover different city/state zones. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. You can work more than 8 hours if you will. Requirements Must have a valid Driver License (driving experience, 1-2 yrs minimum) Must have parking for a vehicle Must be authorized to work in the US Must pass the background check Enjoys driving, with flexible schedule Available for a minimum of 3 months Responsible & Reliable Good driving skills Great communication skills High level of responsibility General car knowledge Tech savvy (smartphone and basic apps) Basic computer skills Self-motivated and detailed oriented We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

Company description Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Project objective The goal of the project is to help collect images of streets, main points of interest and public areas. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world. The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last at least 3 months and will cover different city/state zones. The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable. The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. You can work more than 8 hours if you will. Requirements Must have a valid Driver License (driving experience, 1-2 yrs minimum) Must have parking for a vehicle Must be authorized to work in the US Must pass the background check Enjoys driving, with flexible schedule Available for a minimum of 3 months Responsible & Reliable Good driving skills Great communication skills High level of responsibility General car knowledge Tech savvy (smartphone and basic apps) Basic computer skills Self-motivated and detailed oriented We would be happy to get to know you and your skills better and see how we can support each other's growth. Please apply and let's meet!

About Xebia With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Since 2001, we have grown from a Java company into a full-service digital consulting company with 4500+ professionals working on a worldwide ambition. We are organized in complementary chapters – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Functional Programming, Low Code, and Microsoft. We help the world’s top 250 companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services. For more details please visit www.xebia.com Role: Data & AI Architect Location: Washington, DC, USA Reports to: Global Data & AI Service Line Leader Collaborates with: Cloud Architects, Business Analysts, Delivery Managers, and Client Technical Teams Overview The Data & AI Architect is responsible for defining the end-to-end architecture for data and AI solutions across multiple industries and geographies. This includes designing data platforms, integrating AI capabilities, and ensuring alignment with business objectives, technical standards, and governance frameworks. The role bridges strategy, engineering, and delivery—translating business requirements into robust, production-ready architectures. Key Responsibilities 1. Solution Architecture and Design Designend-to-end data and AI architecturesthat encompass data ingestion, storage, processing, analytics, and machine learning. Definedata pipelines,ETL/ELT frameworks, andmodel deployment architectures on cloud and hybrid environments. Architect solutions leveragingcloud-native AI services (AWS SageMaker, Azure AI, Google Vertex AI) and open-source frameworks (TensorFlow, PyTorch, MLflow). Ensure scalability, performance, and cost optimization across all layers of the data and AI stack. Createreference architectures and blueprints to standardize solution delivery across global projects. 2. Data Platform Engineering Design and oversee implementation ofdata lakes, data warehouses, and lakehouse architectures using modern data platforms (Databricks, Snowflake, BigQuery, Synapse). Definedata modeling standards, metadata management, and master data management (MDM) frameworks. Collaborate with data engineers to ensure data pipelines are optimized for AI workloads and real-time analytics. Implementdata quality, lineage, and observability frameworks to ensure trust and reliability in data assets. 3. AI and Machine Learning Integration ArchitectAI/ML pipelines from data preparation to model training, validation, and deployment (MLOps). IntegrateAI models into enterprise applications using APIs, microservices, and event-driven architectures. Evaluate and recommendAI frameworks and tools for specific business use cases, including NLP, computer vision, and generative AI. Collaborate with data scientists and ML engineers to ensure models are production-ready, explainable, and compliant. 4. Governance, Security, and Compliance Implementdata governance frameworksaligned with corporate and regulatory standards (GDPR, CCPA, HIPAA). DefineAI governance policies for model lifecycle management, fairness, and accountability. Ensuredata security and privacy through encryption, access controls, and secure data sharing mechanisms. Participate inarchitecture review boards to validate compliance and best practices across projects. 5. Client Engagement and Delivery Support Work closely with client stakeholders tounderstand business challenges and translate them into data-driven AI solutions. Leadtechnical discovery sessions, solution workshops, and proof-of-concepts (POCs). Supportpre-sales and proposal development, providing architecture inputs, effort estimation, and technical documentation. Guide global delivery teams insolution implementation, performance tuning, and troubleshooting. 6. Innovation and Continuous Improvement Stay current with emerging technologies indata engineering, AI, and cloud ecosystems. Contribute to the development ofaccelerators, reusable assets, and frameworks for faster solution deployment. Mentor junior architects and engineers, fostering a culture of technical excellence and innovation. Participate inindustry forums and technology partnerships to enhance the company’s market positioning. Required Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field. Experience: 10+ years in data and analytics, with at least 5 years in architecture roles across large-scale enterprise or SI environments. Technical Skills: Data Platforms: Snowflake, Databricks, BigQuery, Synapse, Redshift Cloud Platforms: AWS, Azure, Google Cloud (multi-cloud experience preferred) AI/ML Tools: TensorFlow, PyTorch, Scikit-learn, MLflow, Kubeflow Data Integration: Apache Spark, Kafka, Airflow, Informatica, Talend Programming: Python, SQL, Scala, Java DevOps/MLOps: Docker, Kubernetes, CI/CD pipelines, Terraform Soft Skills: Strong communication, stakeholder management, and solution storytelling capabilities. Benefits Medical, Dental and Vision Insurance (Subsidized) Flexible Spending Accounts (Healthcare and Dependent Care) Short-Term and Long-Term Disability Life and AD&D Insurance Assistance Program Matched 401(k) Retirement Savings Plan Paid Time Off While the talent scarcity within IT is at an all-time high and still growing, Xebia sticks to the mission of “aiming for thought leadership”, thus working with the best professionals in the market. At Xebia, you will get the chance to work with passionate professionals within their field of expertise. We offer more than just a job, we offer a career. We are looking forward to working with you! Xebia is committed to creating an inclusive and diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Please feel free to share your preferred pronouns with us during the application process. All persons hired will be required to verify identity and eligibility to work in North America, and to complete any required employment eligibility forms.

Upgrade helps customers move in the right direction with affordable and responsible financial products. Since 2017, we’ve helped over 7.5 million customers access over $42 billion in consumer credit. With a relentless focus on improving our customers' financial well-being, we build products that put more money in their pocket and support their journey toward a better financial future. We’re backed by some of the most prominent technology investors and were most recently valued at $7.3B. We’re consistently recognized for our collaborative and inclusive culture. Most recently, we were named one of the World’s Top Fintech Companies by CNBC, Best Places to Work by Built In, Best Places to Work by the San Francisco Business Times, America’s Greatest Workplaces by Newsweek, Best Startup Employer by Forbes, and Healthiest Employers by Phoenix Business Journal. We’re looking for new team members who get excited about designing and delivering new and better products. Come join us and help build a better financial future for millions of people. About the Role: Upgrade is looking for a Merchant Risk Data Analyst to transform how we identify and mitigate merchant risk through data analysis and visualization. You'll combine merchant risk expertise with analytical skills to build predictive models, automated monitoring triggers, and actionable insights that protect our platform from fraud, compliance violations, and operational failures. You'll turn millions of transactional data points into strategic risk decisions, applying analytical rigor to catch problems early and safeguard our merchants, borrowers, and business. What You'll Do: Data Analysis & Predictive Modeling Analyze large volumes of transactional data to identify merchant risk patterns and trends Build predictive models to forecast merchant fraud, financial distress, compliance issues, and operational red flags Develop risk scoring methodologies that prioritize high-risk merchants for proactive review Conduct historical trend analysis to understand how merchant risk evolves over time and across verticals Identify leading indicators of merchant misconduct, project abandonment, chargebacks, and borrower harm Automated Risk Monitoring & Trigger Development Design automated merchant risk triggers based on transactional behavior and performance metrics Create early-warning systems for financial distress, fraud patterns, compliance violations, and operational deterioration Optimize trigger logic to balance detection accuracy with operational efficiency Collaborate with Engineering and Product to operationalize triggers into monitoring workflows Monitor trigger performance and adjust thresholds based on investigation outcomes Tableau Reporting & Visualization Build and maintain Tableau dashboards for merchant investigations using transactional data, WIP trends, chargeback patterns, and complaint analysis Create visualizations that empower the Merchant Risk team to investigate merchants quickly and effectively Develop performance metrics reporting for team productivity, investigation outcomes, and risk mitigation effectiveness Design executive-level reporting on merchant risk trends and portfolio health Ensure dashboards are intuitive, accurate, and actionable Strategic Insights & Collaboration Partner with Merchant Risk Managers and analysts to understand investigation needs and data gaps Provide data-driven recommendations to improve risk detection and investigation efficiency Collaborate with Sales, Credit, Compliance, FinCrimes, and Product teams on risk strategy Present findings and recommendations to leadership in clear, compelling formats Stay current on merchant risk trends, fraud schemes, and industry best practices What We Look For: Required: 3+ years merchant risk experience in fraud detection, compliance monitoring, underwriting, or risk operations (fintech, payments, or lending preferred) Strong SQL skills for querying large datasets and performing complex data analysis Proficiency in Tableau (or similar BI tools) for building dashboards and visualizations Experience with predictive modeling and statistical analysis (regression, classification, clustering) Excel/Google Sheets expertise for data manipulation, pivot tables, and analysis Deep merchant risk knowledge: fraud patterns, financial distress indicators, compliance red flags, operational issues, borrower harm signals Analytical mindset with strong attention to detail and ability to spot patterns in complex data Clear communication to translate analytical findings for non-technical audiences Preferred: Experience with Python or R for data analysis and modeling Familiarity with machine learning techniques and model validation Knowledge of merchant underwriting, credit risk, or transaction monitoring Experience with WIP (Work-in-Progress) data in project-based lending Background in home improvement, solar, elective medical, or other merchant verticals Understanding of regulatory requirements (UDAAP, state licensing, consumer protection) Prior experience building automated alerting systems or risk triggers What We Offer You: Competitive salary and stock option plan 100% paid coverage of medical, dental, and vision insurance Flexible PTO Competitive 401(k) Opportunities for professional growth and development Paid parental leave Health & wellness initiatives #BI-Hybrid #LI-Hybrid For California residents: Upgrade's California Notice at Collection and Privacy Policy describes our practices regarding the collection, use, and disclosure of the personal information of job applicants. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Upgrade does not accept unsolicited resumes from staffing agencies, search firms, or any third parties. Any resume submitted to any employee of Upgrade without a prior written agreement in place will be considered the property of Upgrade, and Upgrade will not be obligated to pay any referral or placement fee. Agencies must obtain advance written approval from Upgrade's Talent Acquisition department to submit resumes and only in conjunction with a valid, fully executed agreement . English is required for all positions, as it involves interacting with staff at Upgrade's offices worldwide.

The Data Entry Operator II (DE2) is responsible for accurately and efficiently entering information provided to them from a variety of sources, including paper, media, fax and telephone. This position operates keyboard-controlled data entry devices such as a computer, key-operated magnetic tape, or disc encoder to transcribe data into a format suitable for computer processing. Job task requires skill in operating an alphanumeric keyboard, and an understanding of transcribing procedures and relevant data entry equipment. Duties specific to supporting the task may include: Accurately and efficiently perform data entry of forms and reports specific by assignment area and other forms as directed by supervisor Prepping, labeling and filing records in preparation for document imaging Identifying and submitting potential problems or issues to appropriate level of management Possessing a strong ability to navigate through various computer functions including accessing and utilizing web browsers Required Qualifications: Ability to work with minimal supervision and follow policies and procedures Experience in performing work requiring attention to detail and accuracy Good Sense of time management and the ability to work under time constraints Understanding of the importance of consistently delivering high-quality work Work as a team player Strong sense of Customer Service Basic computer skills, including accurate use of keyboard, familiarity with web browsers and basic Microsoft Office applications Ability to type at minimum 40wpm Ability to frequently lift up to 40 pounds Ability to perform frequent repetitive motions using fingers, hands, wrists and arms Ability to apply experience and judgment in selecting procedures to be followed and in searching for, interpreting, selecting items to be entered from a variety of documented sources Must be able to obtain and maintain MRPT facility credentials/authorization. Note: US Citizenship is required for MRPT facility credentials/authorization at this work location. High school diploma or general education degree (GED) Three months in current position Some telephonic customer service skills preferred Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters .

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you. WHAT YOU'LL DO As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Field Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will: Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms Contribute to shaping OfferFit’s product strategy and roadmap through customer-facing insights and technical expertise Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success WHO YOU ARE Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $$133,700-148,500/year with an expected On Target Earnings (OTE) between $148,500-165,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work® ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty. Braze is proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore. In 2025, we were recognized as one of Built In’s Best Places to Work. In 2024, we were included in U.S. News & World Report’s Best Companies to Work For (Top 10%) and recognized in Great Place to Work’s Fortune Best Medium Workplaces, Fortune Best Workplaces in Technology, Fortune Best Workplaces for Parents, and Fortune Best Workplaces for Women. Additionally, we were featured in Great Place to Work UK’s Best Workplaces, Best Workplaces in Europe, Best Workplaces for Development, Best Workplaces for Wellbeing, Best Workplaces for Women, and Best Workplaces in Technology. You’ll find many of us at headquarters in New York City or around the world in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, Singapore, São Paulo, Seoul, Sydney and Tokyo – not to mention our employees in nearly 50 remote locations. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you . We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you. Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you. WHAT YOU'LL DO As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Field Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will: Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms Contribute to shaping OfferFit’s product strategy and roadmap through customer-facing insights and technical expertise Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success WHO YOU ARE Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $$133,700-148,500/year with an expected On Target Earnings (OTE) between $148,500-165,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work® ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty. Braze is proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore. In 2025, we were recognized as one of Built In’s Best Places to Work. In 2024, we were included in U.S. News & World Report’s Best Companies to Work For (Top 10%) and recognized in Great Place to Work’s Fortune Best Medium Workplaces, Fortune Best Workplaces in Technology, Fortune Best Workplaces for Parents, and Fortune Best Workplaces for Women. Additionally, we were featured in Great Place to Work UK’s Best Workplaces, Best Workplaces in Europe, Best Workplaces for Development, Best Workplaces for Wellbeing, Best Workplaces for Women, and Best Workplaces in Technology. You’ll find many of us at headquarters in New York City or around the world in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, Singapore, São Paulo, Seoul, Sydney and Tokyo – not to mention our employees in nearly 50 remote locations. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you . We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you. Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you. WHAT YOU'LL DO As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Field Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will: Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms Contribute to shaping OfferFit’s product strategy and roadmap through customer-facing insights and technical expertise Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success WHO YOU ARE Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $$133,700-148,500/year with an expected On Target Earnings (OTE) between $148,500-165,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work® ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty. Braze is proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore. In 2025, we were recognized as one of Built In’s Best Places to Work. In 2024, we were included in U.S. News & World Report’s Best Companies to Work For (Top 10%) and recognized in Great Place to Work’s Fortune Best Medium Workplaces, Fortune Best Workplaces in Technology, Fortune Best Workplaces for Parents, and Fortune Best Workplaces for Women. Additionally, we were featured in Great Place to Work UK’s Best Workplaces, Best Workplaces in Europe, Best Workplaces for Development, Best Workplaces for Wellbeing, Best Workplaces for Women, and Best Workplaces in Technology. You’ll find many of us at headquarters in New York City or around the world in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, Singapore, São Paulo, Seoul, Sydney and Tokyo – not to mention our employees in nearly 50 remote locations. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you . We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you. Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.

About Faire Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire leverages the power of machine learning (ML) and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and Lifetime Value (LTV) predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. As a Data Scientist on the Retailer team, you'll tackle a diverse set of challenges, such as optimizing logistics and freight costs and calculating optimal credit limits. You'll also contribute to growing Faire’s retailer base by enhancing Search Engine Optimization, personalizing landing pages for new retailers, and predicting retailer lifetime value. You'll collaborate closely with other data scientists, engineers, and product managers to drive projects that unlock value from our unique, rich, and rapidly growing two-sided marketplace data. Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there! What you’ll do Shipping cost optimization: Build ML models that provide accurate shipping cost estimates. Engineer new features to improve model performance. These models may use live carrier information and be both performant and explainable. Underwriting: Improve Faire’s Net terms portfolio by evaluating creditworthiness of retailers on Faire’s platform. Use predictive modeling to dynamically assign credit terms limits that minimize default risk and maximize growth. Retailer Growth & Lifecycle: Build models to automatically generate landing pages and content to target search engine demand. Use natural language processing to understand search engine keyword intent and match to relevant internal content. Build ML models to generate intelligence about retailers to power personalization. Predict retailer lifetime values to optimize retailer acquisition spend. Qualifications An advanced degree (MS or PhD) in a relevant discipline such as statistics, economics, econometrics, mathematics, computer science, operations research, etc. Strong machine learning skills and 3+ years of experience productionizing machine learning models (Sklearn, XGBoost, or Deep Learning) Strong programming skills (Python, Java, Kotlin, C++) Knowledge of statistical techniques such as experimentation and causal inference SQL or other database querying experience preferred An excitement and willingness to learn new tools and techniques Salary Range California: the pay range for this role is $192,000 to $264,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 2 days per week on Tuesdays and Thursdays. Effective starting in January 2026, employees will be expected to go into the office on a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you’ll love working at Faire We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog . Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form ( https://bit.ly/faire-form) Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)

Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. About our Team : LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case. About the Role : The Director, Data Sciences raises data-driven decision making of a function within a business unit through team leadership. They are also client/industry-facing, and they evangelize methodologies and best practices. They lead people and teams to develop an overall strategy for the execution of projects including creating use cases, roadmaps, alignment of stakeholders, and prioritization. This person acts as coach and leader of Managers and Data Scientists, as well as other resources. Influence should extend outside the director's immediate team to other teams within the director's peers. The Director drives development and implementation across the team to the business, rooted in a deep understanding of our customers, markets, trends, and challenges. Responsibilities : Strategic Leadership : Define and execute the data science vision and roadmap aligned with business objectives and technological advancement opportunities. Team Management : Build, lead, and mentor a high-performing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning. Advanced Research Direction : Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to maintain competitive advantage. Champion innovation by staying current with the latest trends and techniques in data science and allocating resources to promising new approaches. Machine Learning and AI Solutions : Lead the development and implementation of machine learning algorithms and AI solutions to solve complex business problems. Data Analysis and Modeling : Oversee advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes. Data Collection and Preparation : Establish protocols for collecting, cleaning, and preprocessing large datasets, ensuring data quality and reliability. Data Visualization Strategy : Guide the creation of informative and compelling data visualizations to communicate results and insights to stakeholders effectively. Cross-functional Collaboration : Partner with executive leadership and cross-functional teams to identify strategic opportunities and address business challenges. Model Deployment and MLOps : Oversee the deployment of machine learning models into production environments, ensuring scalability and reliability. Documentation Standards : Establish comprehensive documentation standards for projects, models, and code for knowledge sharing and reproducibility. Stakeholder Management : Communicate the value and impact of data science initiatives to C-suite executives and business stakeholders. Budget and Resource Management : Manage departmental budget, resource allocation, and infrastructure needs for data science operations. Ethical AI Governance : Develop and enforce ethical guidelines and best practices for AI development and deployment. Requirements : Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus. 10+ years of progressive experience in data science, machine learning, or AI, with at least 8 years in leadership positions. Demonstrated experience in managing and scaling data science teams of 15+ professionals. Proven record of delivering high-impact AI and ML solutions that have driven significant business value. Deep expertise with generative AI models and techniques (e.g., LLMs, GANs) for content generation and their practical applications. Advanced knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques at enterprise scale. Experience in setting technical direction and implementing MLOps practices for model deployment and monitoring. Strong business acumen with the ability to translate complex technical concepts into business value. Excellent communication and leadership skills, with experience presenting to executive leadership. Experience working in a global or multicultural environment Record of successful collaboration with product, engineering, and business teams. Proficiency in multiple programming languages relevant to data science (Python, R, etc.) and big data technologies. Work in a way that works for you : We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you : We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business : LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. U.S. National Base Pay Range: $133,400 - $247,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits ● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan ● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs ● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity ● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits ● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts ● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. We are hiring a Staff Data Scientist to join the Base Earnings team . This cross-functional team is responsible for setting pay for every Lyft rideshare ride, as well as ensuring compliance with our regulatory and policy commitments regarding pay. We seek a passionate data scientist to drive business performance and driver satisfaction, and to develop new pay policies in support of new business areas (e.g., autonomous vehicles, European expansion). In this role, you will leverage data, machine learning, optimization, experimentation, and inference techniques to develop and maintain Lyft’s pay policies. Your technical impact will contribute directly to company-level metrics, including profit, rides completed, and driver sentiment. Leveraging your knowledge and experience, you will influence the technical growth of the cross-functional Base Earnings team - both as individuals and as a team. Responsibilities: Implementation: Lead implementation, experimentation, deployment, and science operations for business critical driver pay algorithms Strategy: Collaborate with engineers, product managers, and others to define Lyft’s pay policy roadmap and respond to emerging technical and business challenges Team Development: Help raise the technical bar within the team through process definition, defining standards, mentoring, and providing timely feedback Operations: Define and manage key performance metrics; lead deep dives into performance anomalies and opportunities Subject Matter Expert: Be an expert on our pay policies and associated data sources Experience: M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, Physics, Engineering, Economics or other quantitative fields 6+ years professional experience Familiarity with machine learning, optimization and causal inference, with staff-level experience and expertise in at least one Experience developing and operating automated decision-making algorithms Significant technical project or team leadership experience Proficient writing production-quality Python code End-to-end experience with data, including querying, ETL, monitoring, analysis, and visualization Strong verbal and written communication skills, and ability to collaborate and communicate with others to solve a problem Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $176,000 - $220,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.