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Top Data Science Jobs in Ecatepec
As a Data Science Manager, you will lead the development of ML-based enterprise products, architect AI-enabled data solutions, research cutting-edge algorithms, and engage with senior clients. You'll also drive team collaboration in solving complex problems, contribute to thought leadership, and enhance ZS talent through recruiting and training.
Lead the development lifecycle of ML-based products, architect AI-enabled data solutions, engage with client leaders, and foster talent while delivering transformative results in supply chain and manufacturing.
As a Data Science Manager, you will lead the development and deployment of AI and ML-based enterprise products. You will oversee a team to solve complex business problems, engage with clients, and drive the firm’s strategies in AI. Academic excellence and extensive hands-on experience in implementing AI solutions are essential.
Play a key role in development of data science capabilities for solving problems in the life sciences Supply Chain and Manufacturing (SC&M) space and development of offerings that create scale and advance our analytic platform. Drive parallel SC&M AI programs through effective large-scale project management. Engage with senior client leaders to deliver value through transformative solutions. Contribute to new business opportunities. Drive business and strategy development through project delivery and client relationship management. Motivate, coach and serve as a role model for project team members. Recruit new team members as needed. Own responsibility for work product quality and relevance to client decisions. Establish or maintain ongoing client relationships with key decision makers that drive new business development. Provide thought leadership and innovation within projects and across practice areas. Support development of firm capabilities and offerings (recruitment, training, internal initiatives).
The Director, Social Analyst will lead the analysis of social media data to drive strategic decisions, manage a reporting team, and optimize SharkNinja’s social media marketing and product development strategies using advanced data analytics and insights.
Senior Data Scientist role at Square focused on leveraging data science techniques to improve incremental revenue generation. Responsibilities include understanding data ecosystem, supporting revenue forecasting models, partnering with ML engineers, driving insights with analytics, and mentoring team members.
The Senior Data Science Analyst will execute analytical initiatives by solving business problems using advanced analytics and machine learning techniques. Responsibilities include developing reports and dashboards, managing risk issues, collaborating with partners, and continuously improving work processes.
As a Data Science Associate Consultant, you will develop advanced algorithms, apply statistical techniques, analyze data trends, collaborate with clients, and mentor team members. Your role involves leveraging data to address business challenges and contribute to thought leadership through research.
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Lead end-to-end development life cycle of innovative ML-based enterprise products, architect and implement AI-enabled data products, research and assess state-of-the-art AI algorithms, engage with senior client leaders, publish thought leadership pieces, foster ZS talent, shape firm strategy in newer areas and practices including AI.
Lead the development of innovative ML-based products, architect AI-enabled data products, lead research and design for new product lines, and engage with clients to deliver transformative solutions. Oversee development cycles and foster talent through recruitment and training.
In this role, you will lead a team of data scientists to develop and deliver analytics solutions, mentor junior staff, ensure client engagements deliver value, and drive business development for the data science practice. You will also collaborate across disciplines to enhance data capabilities and engage with clients to develop innovative solutions.
The Director of Data Science will lead and mentor data science teams, develop multi-disciplinary data-driven offerings, and manage client relationships to translate business objectives into analytics solutions. Responsibilities include practice development, client delivery, and business development, with a strong emphasis on machine learning application.
As a Data Science Associate Consultant, you'll develop advanced algorithms, apply statistical techniques, and analyze data trends. You'll collaborate with clients, contribute to technology assessments, and mentor junior team members, driving impactful solutions and fostering innovation.
As a Data Scientist - Presales, you will engage with customers to understand their business problems, define strategies for data analysis, and deliver impactful proofs of concept and reports demonstrating the value of Pricefx software. You will collaborate closely with sales teams to assess data quality and develop machine learning models that support customer-specific objectives.
The Senior Technical Curriculum Developer will create engaging technical learning content for customers, including hands-on labs and certification programs. They will collaborate with engineering and product teams, evaluate training needs, improve existing courses, mentor junior members, and utilize SQL and scripting for reports and data handling.
As a Manager in the Data Science team at Atlassian, you will leverage data to drive insights about products and customers. Your duties include collaborating on product and business problems, applying quantitative analysis, defining opportunities for product improvements, and managing a team of Data Scientists. You will influence strategy through data-driven insights and help structure your team's growth.
As a Senior Data Scientist at Atlassian, you will collaborate with various cross-functional teams to apply quantitative analysis and develop strategies that influence product and business decisions. You will leverage data to identify opportunities, measure product success, and communicate insights effectively.
As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.
The Manager of Data Science for Pricing Algorithms at CarMax will develop and optimize models that accurately value vehicles based on various market conditions. Responsibilities include analyzing data, leveraging machine learning techniques, conducting controlled experiments, and communicating insights to senior leaders.
The Data Science Manager will lead the Pricing and Promotion Optimization team at Tiger Analytics, driving product strategies and overseeing roadmap development. Responsibilities involve analytics communication, team leadership, stakeholder collaboration, and market analysis to enhance pricing initiatives for CPG clients.
As a Manager of Data Science, you will lead a team to develop and optimize decision systems and create scalable, data-driven products that drive business outcomes. You'll manage machine learning models and statistical analysis to generate insights and enhance company processes, fostering innovation and mentoring junior team members.
The Principal Decision Scientist will lead and mentor teams by providing high-impact analytics insights and solutions for clients. Responsibility includes optimizing client success with Ibotta platforms, communicating analytical results to enhance client strategies, driving internal projects, and mentoring junior colleagues.
The Head of Data Science and AI is responsible for driving innovation in Ai and data science at Socure, focusing on developing machine learning models, leading cross-functional collaboration, overseeing advanced data strategies, and mentoring technical teams to enhance AI-driven solutions.
The Data Science Analyst Program involves collaborating with teams to deliver innovative data science solutions that address business challenges. Interns will gain hands-on experience in machine learning and analytics within a data-driven environment for JPMorgan Chase.
As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.
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