Top Data & Analytics Jobs

Design and evaluate marketplace algorithms for matching, pricing, and forecasting. Build price-estimation and demand/supply models, clean and analyze operational data, run simulations and counterfactuals, and collaborate with engineering to deploy model-driven systems that scale.

Lead development of data science technologies for industrial adhesive and tape products. Build and optimize proof-of-concept algorithms, collaborate cross-functionally, and support full application life cycle from data preprocessing and model building to deployment. Apply ML, deep learning, NLP, and computer vision methods using Python.

As an AI Data Annotation Specialist, you will annotate, label, and curate data for machine learning models, ensuring quality and collaboration with a global team.

Analyze customer feedback across surveys, app stores, tickets, and calls to surface sentiment trends, issues, and opportunities. Build dashboards, reports, and models; partner cross-functionally to escalate findings and inform product, retention, and revenue decisions. Present executive summaries and continuously integrate new feedback sources.

Lead development of enterprise-level risk dashboards and semantic models in Power BI, partner with IT on data ingestion and governance, build predictive and descriptive risk models, and translate findings into actionable insights for leadership while ensuring compliance and responsible AI practices.

As a Data Scientist at Voleon, you will analyze complex datasets, ensure data correctness, and communicate insights to executives, leveraging AI and machine learning for investment management.

As a Data Scientist, you will analyze and visualize complex data sets, ensuring data quality and deriving actionable insights for investment strategies.

Develop and deliver data insights, dashboards, and reports; lead end-to-end analytics projects; mentor junior analysts; improve data quality, documentation, and analytical systems to support portfolio decisions.

Lead data strategy and delivery for large-scale client transformations. Design modern data architectures, oversee analytics and ML initiatives, support sales as SME, grow client relationships, manage teams and resource strategies, and foster a collaborative culture focused on quality and business outcomes.

The Officer, Model Risk Management validates bank-wide models, ensuring compliance with regulations. Responsibilities include developing testing plans, assessing model performance, reviewing documentation, and collaborating with stakeholders for effective model governance.

The Senior Business Data Analyst will design and implement AI-driven financial solutions, enhance reporting processes, and provide insights for audit readiness and efficiency through advanced data analytics.

The Senior Data Delivery Expert will develop data solutions for precision marketing and collaborate with teams to engage effectively with healthcare practitioners, requiring expertise in data engineering and analytics in a biopharma context.

The Senior Analyst will support AI deployment in Finance, engage stakeholders, define KPIs, and coordinate AI integration into workflows while fostering innovation.

As a Sr. Data Analyst, you will gather requirements, manage projects, develop automation tools, create reports, and improve processes using data analytics and automation technologies.

The Data Analyst will improve AI technologies by testing products, performing data analysis, and ensuring quality assurance of natural language datasets.

The Data Annotation Expert analyzes and annotates natural language datasets, tests AI products, and improves machine learning model accuracy. Requires collaboration and effective communication skills.

The Manager, Growth Analytics & Marketing Science will build and evolve marketing measurement frameworks, drive analytics, and optimize marketing strategies through data and AI.

Design, build, and maintain forecasting and portfolio optimization models for U.S. power markets; analyze market outcomes, track supply/demand/congestion dynamics, and apply statistical, optimization, and ML methods to inform commercial decisions.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Strategy & Analytics Senior Lead will drive product decisions through analysis, partnering with cross-functional teams to generate insights and enhance operational processes.

The Procurement Analytics Lead analyzes procurement data using AI and analytics tools, creates reports, identifies process improvements, and collaborates with stakeholders to drive efficiency and compliance.

The Senior Director leads R&D data strategy, focusing on AI and data governance to enhance portfolio decision-making, ensuring data quality and operational excellence.

The role involves leading the enterprise strategy for data analytics and technology modernization, driving data-driven decision making, and managing digital transformation initiatives while building a high-performing team.

This role involves developing deep learning models for time-series prediction, conducting research, mentoring, and collaborating with cross-functional teams.

The Associate will design and develop BI dashboards, assist with control testing, automate processes, collaborate with stakeholders, and maintain BI applications.