Lead Data Scientist

Join Egis Group as a Common Data Environment Facilitator specializing in Interoperability, Automation & Data Analytics. In this pivotal role, you will enhance our data management processes and facilitate seamless collaboration across diverse teams. Your expertise will help drive efficiency through automation while ensuring data integrity and interoperability.

ampleinsightinc is seeking enthusiastic Data Scientists with a strong passion for Data Analytics and Infrastructure. Ideal candidates will have a solid foundation in data engineering, analytics, and statistics. You will thrive on working with large and intricate datasets, designing and implementing efficient data pipelines that support scalable and reliable analytics.In this role, you will be tasked with the design and maintenance of our data infrastructure, automation of workflows, and ensuring data accessibility across various teams. Your contributions will have a direct influence on business decisions by providing high-quality insights and creating robust analytics systems. Strong problem-solving, communication, and teamwork skills are essential to succeed in this position.

Join our dynamic team at Tiger Analytics as a Data Engineer specializing in Snowflake. In this fully remote role, you will leverage your expertise in data engineering to build and optimize data pipelines, ensuring high performance and reliability in data processing. You'll collaborate with cross-functional teams to deliver data solutions that drive business insights and support data-driven decision-making.

About TripleLiftAt TripleLift, we are revolutionizing digital advertising by blending stunning creative with actionable data, quality publishers, and smart targeting. With over 1 trillion ad transactions monthly, we empower publishers and platforms to optimize their monetization strategies. Our technology attracts leading global brands, helping them discover audiences through online video, connected television, display, and native advertising. Our innovative solutions and premium formats, supported by our dedicated experts, ensure peak performance for our clients.As a proud member of the Vista Equity Partners portfolio and NMSDC certified, we are committed to economic inclusion and meeting diverse spending goals. Discover how we elevate the programmatic ecosystem at triplelift.com.RoleTripleLift, a dynamic startup addressing critical challenges in digital advertising, is on the lookout for a seasoned Data Analytics Manager to enhance our Data Science team. In this pivotal role, you will analyze ad inventory, bidding strategies, and performance metrics to uncover trends, patterns, and anomalies that guide strategic decisions aimed at optimizing revenue and Exchange efficiency. You will also lead and mentor a talented team of data analysts, fostering high performance and innovative thinking.The ideal candidate will demonstrate a robust background in statistical analysis, data manipulation, and data visualization, along with a proven track record of building and leading high-performing teams. Strong problem-solving abilities, meticulous attention to detail, and effective communication skills are essential for conveying insights to stakeholders at all levels.Collaboration is vital in this position, as you will liaise closely with Product Development, Data Science, Engineering, and Marketplace teams to ensure the integration of data-driven insights into TripleLift's overarching strategy. Your leadership will play a crucial role in cultivating a culture of innovation and continuous improvement, driving excellence in data analytics while upholding high standards of analytical rigor within the team.

Join our dynamic team as a Data Product Manager at Tiger Analytics, where you will lead transformative data initiatives and drive product strategy. In this role, you will collaborate with cross-functional teams to develop innovative solutions that leverage data analytics to enhance business outcomes.

Location: Remote , Toronto, Ontario, Canada About Tiger Analytics Tiger Analytics develops custom data and technology solutions for organizations worldwide, including many Fortune 100 companies. The company operates from offices in the US, UK, India, and Singapore, and maintains a significant remote team. Tiger Analytics focuses on AI and advanced analytics, with a collaborative and inclusive culture. Focus on CPG and Retail More than 40% of Tiger Analytics’ revenue comes from the Consumer Packaged Goods (CPG) and retail sectors. The company continues to invest in talent and expertise to support rapid growth in these industries. Role Overview: Senior Data Scientist – Pricing Optimization This position leads the Pricing and Promotion Optimization team. The Senior Data Scientist will shape and implement strategies to improve pricing and promotional outcomes for clients. The role requires experience in product management, analytics-driven decision-making, and cross-functional leadership, along with a strong background in roadmap planning. Key Responsibilities Lead the Pricing and Promotion Optimization team for CPG and retail projects Develop and execute product strategies that improve pricing and promotional effectiveness Apply analytics to drive decision-making and business outcomes Plan and manage product roadmaps Collaborate with cross-functional teams to deliver solutions What Tiger Analytics Looks For Extensive experience in product management, especially with analytics-driven approaches Proven ability to lead teams and manage complex projects Strong background in pricing, promotion, or related optimization work

Join our dynamic team at Cygnus Professionals Inc. as a Data Scientist and Analytics Developer! In this pivotal role, you will leverage your analytical skills to transform data into actionable insights and drive business strategies. You will collaborate with cross-functional teams to develop innovative analytics solutions that meet our clients' needs.

Join Tiger Analytics, a dynamic and rapidly expanding advanced analytics consulting firm recognized for its expertise in Data Science, Machine Learning, and Artificial Intelligence. We partner with leading Fortune 100 companies to unlock the potential of their data, driving substantial business value. Acknowledged by Forrester and Gartner for our leadership in the analytics space, we are on the lookout for exceptional talent to help build the world’s premier analytics consulting team.We are currently seeking a skilled Data Engineer proficient in Dataiku to join our innovative data team. In this role, you will design, construct, and maintain data pipelines, integration processes, and infrastructure. Working closely with data scientists, analysts, and other key stakeholders, you will facilitate efficient data flow and empower data-driven decision-making throughout the organization.

Waabi develops AI-driven technology for autonomous transportation, with a focus on commercial autonomous trucks and robotaxis. The company collaborates with partners across AI, automotive, logistics, and deep tech sectors, and maintains offices in Toronto, San Francisco, Dallas, and Pittsburgh. More information is available at www.waabi.ai. Role overview The Software Engineer - Labelling, Data & Automation position is part of the team responsible for building and maintaining the pipelines, tools, and workflows that move Waabi’s AI-first self-driving systems forward. This group is deeply involved in the training pipeline, focusing on practical and scalable methods to extract important data, generate accurate ground truth labels, and deliver this data to machine learning scientists and engineers. What you will do Develop and maintain data pipelines, tools, and workflows for labelling and automation. Create scalable systems for extracting and preparing data used in AI model training. Collaborate with machine learning scientists and engineers to provide high-quality ground truth data. The team The Labelling & Data Automation team forms the backbone of Waabi’s mission, delivering the infrastructure and tools that enable rapid development and deployment of autonomous vehicle technology.

About the Role Tipalti is searching for a Data Analyst to join the analytics team in Toronto, Ontario. This role centers on connecting data from across the business to help drive strategic growth. The analyst will work closely with information from sales, operations, and finance, building a clear picture of the company’s financial journey, from prospecting and supplier onboarding through payment processing to revenue realization. What You’ll Do Analyze and interpret data from sales, operational processes, and financial outcomes Synthesize findings into actionable insights that support business strategy Track and report on the full financial lifecycle, including supplier onboarding and payment flows Collaborate with teams across the organization to provide data-driven recommendations About Tipalti Tipalti builds finance automation solutions for mid-market companies worldwide. Our AI-powered platform streamlines accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury management. Over 6,000 companies trust Tipalti to pay millions of suppliers in more than 200 countries and 120 currencies. We work with partners such as Citi, Wells Fargo, J.P. Morgan, and Visa. Our Culture and Benefits Collaborative and inclusive environment Competitive benefits package Flexible work arrangements Career coaching and growth opportunities Tipalti values diverse perspectives and collective achievement. Team members are encouraged to make a real impact and grow their careers. Our Global Presence Founded in Israel in 2010, Tipalti is headquartered in the San Francisco Bay Area (Foster City) with offices in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam, Tbilisi, and Medellin.

Join our dynamic team at oliverusa as a Data Analyst. In this pivotal role, you will harness the power of data to drive insights and support decision-making processes across various departments. Your analytical skills will be essential in interpreting complex datasets, identifying trends, and presenting actionable recommendations to stakeholders. We are looking for a detail-oriented individual who thrives in a fast-paced environment and is passionate about data analytics.

About the RoleVantage Analytics is seeking a talented Senior Data Engineer to enhance our Measurement team. This team is dedicated to improving the Insights Explorer feature on our platform, allowing our partners to effortlessly convert retail media data into actionable insights.In your role as a Senior Data Engineer, you will be instrumental in architecting the data infrastructure necessary for collecting, processing, and analyzing our extensive datasets. You will leverage a suite of advanced technologies to innovate what is achievable with real-time data and large-scale batch processing.This is a newly created position, reflecting our commitment to expanding our capabilities.

Tiger Analytics is a premier advanced analytics consulting firm, recognized as a trusted partner to numerous Fortune 100 companies. We empower businesses to derive significant value from their data through our deep expertise in Data Science, Machine Learning, and Artificial Intelligence. Our leadership and contributions in the field have been acknowledged by industry leaders such as Forrester and Gartner.We are seeking an individual who possesses a strong combination of business consulting acumen and a solid background in data analytics.Key Responsibilities:Leverage cutting-edge data science applications to address complex business challenges.Engage directly with client stakeholders to translate business needs into comprehensive analytics solutions.Effectively present analytical strategies to diverse business audiences, emphasizing the value and reliability of the proposed solutions.Design and implement end-to-end analytics solutions based on a thorough understanding of business problems to ensure efficient and sustainable delivery.Lead analytics projects while fostering collaboration with client stakeholders and global Tiger Analytics teams.Collaborate with team members to identify and implement relevant analytical techniques that yield actionable business insights.Deliver presentations to senior management, relay results to business teams, and develop strategies to integrate analytics into operational processes.

About Us:At Emburse, we don't just envision the future – we create it. As a premier provider of travel and expense solutions, our mission is to harness technology to generate business value and drive remarkable outcomes. Our innovative AI-driven platform empowers organizations to enhance financial operations, gain deeper insights, and manage expenditures effectively across the enterprise.As a Software Development Engineer in Test (SDET) at Emburse, you will play a crucial role in shaping an engaging and cohesive suite of system solutions. Your expertise will allow you to elevate customer experiences, tackle intriguing challenges, and devise innovative solutions. Renowned for our pioneering technologies and commitment to engineering excellence, Emburse offers you the opportunity to collaborate with some of the brightest professionals in the industry, fostering your growth and career advancement.

Join Tiger Analytics as a Manager/Sr. Manager in Customer and Digital Marketing Analytics. In this pivotal role, you will spearhead analytical initiatives that drive marketing strategies for our retail and consumer packaged goods (CPG) clients. You will leverage data to extract actionable insights, enabling our clients to enhance customer engagement, optimize marketing spends, and achieve remarkable growth.As a leader in our analytics team, you’ll collaborate closely with cross-functional teams, guiding project execution from inception to completion while ensuring alignment with business objectives. You will also mentor junior analysts and contribute to the overall development of analytic capabilities within the organization.

Join Bounteous as a Data Solutions Lead, where you will spearhead innovative approaches to data management and analytics. In this vital role, you will leverage your expertise to enhance our data solutions, guiding teams in the development and execution of cutting-edge data strategies that optimize client outcomes.Key Responsibilities:Lead data strategy initiatives and collaborate with cross-functional teams to deliver high-quality data solutions.Drive the implementation of data governance frameworks to ensure data integrity and compliance.Mentor and support team members in data analytics and reporting best practices.Engage with clients to understand their data needs and provide tailored solutions that align with their business objectives.

Join Lyft's innovative team as a Data Scientist specializing in Decisions and Mapping. In this role, you will leverage data analytics to drive strategic decisions and enhance mapping solutions. Collaborate with cross-functional teams to turn complex data into actionable insights that shape the future of transportation.

Join Tiger Analytics as a Manager/Sr. Manager in Supply Chain Analytics, where you will play a pivotal role in driving data-driven decision-making within the Consumer Packaged Goods (CPG) and Retail sectors. You will lead a talented team in analyzing supply chain data, optimizing processes, and delivering actionable insights that enhance operational efficiency and boost profitability.In this remote position, you will leverage your expertise in analytics, data visualization, and supply chain strategies to influence key stakeholders and guide strategic initiatives. Your analytical prowess and leadership skills will be essential in shaping the future of our clients’ supply chain operations.

About the RoleJoin our innovative team at Cosmo as a Data Analyst, where you will play a pivotal role in leveraging data to enhance our product offerings, customer experience, and operational efficiency. This position involves close collaboration with diverse teams to establish robust analytics frameworks, generate actionable insights, and steer strategic initiatives through data-driven decision-making.Key ResponsibilitiesCollaborate with cross-functional teams to identify data needs and create comprehensive dashboards, curated datasets, and reporting tools essential for daily operations.Design and maintain analytical data models that facilitate scalable and reliable data analysis.Provide insights into customer behavior, product performance, and subscription metrics to inform decisions across Product, Marketing, and Operations.Create and implement predictive models (e.g., churn risk, customer lifetime value, propensity scoring) and integrate outputs into operational dashboards.Automate regular analyses, segmentation strategies, and reporting processes to enhance efficiency and reduce manual workloads.Lead initiatives for data unification, including evaluating data sources, strategizing integration, and designing canonical datasets.Contribute to best practices in analytics and data engineering, focusing on documentation, validation, and data quality standards.