Top Software Data Science Jobs
The Lead Data Scientist at Caterpillar will guide a team in advanced analytics and GenAI projects, focusing on data gathering, processing, and modeling. Responsibilities include defining analysis requirements, presenting insights, coaching junior data scientists, and engaging in multiple projects simultaneously while driving continuous learning and innovation in analytics.
As a Data Specialist at Caterpillar Inc., you will work on data quality, design, governance, and architecture. Your role involves liaising with data creators, ensuring compliance with data standards, creating data management strategies, and leading communication among various business lines and technology partners. Additionally, you will document data models, develop specifications, and enhance metadata policies.
As a Data Scientist at Caterpillar, you will locate and analyze data from various sources, support project teams with data analysis, and develop models using machine learning and advanced analytics to predict equipment failures and identify anomalies in data. You will participate in a 12-month onboarding program to enhance your technical skills and network with colleagues across the organization.
The Data Scientist III (Artificial Intelligence) at Cedar will leverage data science and AI to enhance patient billing clarity and streamline healthcare workflows. This role involves developing datasets, designing AI-powered features, and improving existing models by collaborating across teams to drive business value and differentiate Cedar's offerings.
The Data Scientist III (ML Engineering) will focus on building machine learning solutions to enhance Cedar’s healthcare payment platform. Responsibilities include conducting deep data analyses, developing and optimizing ML-powered features, building and optimizing data pipelines, and measuring model performance for continuous improvement.
Lead the development and delivery of data-driven solutions, utilizing statistical and machine learning techniques to analyze large datasets. Responsible for identifying service issues in Internet and Video products and providing actionable insights to stakeholders. The role includes coaching junior analysts and refining analytical methods.
The Sr Revenue Assurance Analyst is responsible for data analysis and developing business cases. The role includes transforming large data sets, analyzing discrepancies, monitoring business trends, and collaborating with cross-functional teams to identify opportunities. Effective presentations and maintenance of financial models are also key responsibilities.
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Oversees end-to-end analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
Lead Data Scientist role in the Customer/Marketing domain at Lowe's, focusing on developing cutting-edge data science solutions to enhance customer experiences and improve retail operations. Responsibilities include leading data science projects, applying advanced algorithms, providing actionable insights, maintaining data governance, and mentoring a team of data scientists. Required qualifications include a Bachelor's Degree in a quantitative field and 6 years of analytics experience.
As a Senior Data Scientist, you will work with cross-functional teams to establish success metrics for multimedia products, operationalize metrics monitoring, analyze performance trends, and improve user engagement and monetization through data insights. You will leverage A/B experiments and causal inference methodologies to assess product features and their impact on user experiences within the game engine.
The Senior Data Scientist will drive data-informed decision-making related to payment offerings and subscription design at Roblox. Responsibilities include creating metrics, contributing to experimentation agendas, and architecting data for strategic analysis in collaboration with engineering and product teams.
As a Senior Data Scientist at Roblox, you will improve the quality and performance of the game engine by establishing success metrics, monitoring system performance, conducting analyses, and collaborating with various teams. Your role involves measuring impacts through dashboards, A/B experiments, and influencing product roadmaps to enhance user engagement and monetization.
The Senior Data Scientist will collaborate with cross-functional teams to deliver AI-powered products, leveraging advanced technologies to extract insights from data, and build NLP models for customer-facing applications. Responsibilities include developing and operationalizing machine learning solutions and enhancing user experiences with AI.
The Principal Data Scientist will collaborate with a cross-functional team to deliver AI-powered products, leveraging technologies like Python and AWS for data analysis and model deployment. Responsibilities include working with the machine learning lifecycle and translating complex data insights into business solutions.
As a Principal Associate, Data Science at Capital One, you will build and implement machine learning models to improve marketing efficiency and drive account growth. Collaborate with cross-functional teams to deliver products and translate complex data insights into business goals, leveraging advanced technologies to analyze vast amounts of data.
As a Senior Principal Data Scientist at Atlassian, you will lead strategic initiatives, influence product strategy, manage complex data science programs, and enhance data assets. You'll work cross-functionally to identify business challenges, develop frameworks for measuring customer engagement, and share knowledge to drive data science practices across the organization.
As a Senior Data Scientist at Atlassian, you will leverage data to derive insights about products and customers, develop strategies, and influence roadmap decisions. Collaborating with cross-functional partners, you'll apply quantitative analysis and experimentation to improve products and measure success through key metrics.
Notion is seeking a Data Scientist for their product data science team. The role involves transforming data into evidence to direct product decisions, working closely with engineering teams, and impacting the development of Notion through various data-related tasks. Key responsibilities include applying statistical inference, defining problems and opportunities, designing experiments, and partnering with product, engineering, and marketing teams.
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As the Director of Finance Analytics & Data Science at Navan, you will collaborate with various internal stakeholders to establish a data-driven strategy, manage a team of data professionals, enhance analytical capabilities, define scalable data models, and develop reporting products that inform company performance and priorities.
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