Top Data & Analytics Jobs

As Senior Data Science Manager for Mobile Ads at Discord, you will lead a team of data scientists to enhance advertising strategies, utilizing advanced measurement analytics. You'll design experiments, collaborate with cross-functional teams, and develop tools that deliver insights for advertisers, aligning with business objectives while ensuring a deep understanding of mobile ad tech.

The Solutions Architect will drive business growth by identifying opportunities, developing strategic partnerships, and securing funding for research initiatives in data science and public health. This role involves writing proposals, analyzing funding trends, maintaining stakeholder relationships, and leveraging large language models to enhance business development processes.

The Data Science Manager will lead a team to enhance patient navigation and healthcare outcomes through data-driven insights. Responsibilities include developing predictive models, collaborating with product teams, and guiding strategic data initiatives within the healthcare technology space.

The Vice President, Data Science & AI at Valtech will lead data science and AI initiatives, managing a team to deliver scalable solutions using Microsoft Azure and Databricks. Responsibilities include strategic leadership, client engagement, sales enablement, and ensuring technical expertise in AI technologies to drive growth.

The Data Science Manager leads a team of data scientists to enhance business profitability and customer experience. Responsibilities include mentorship, project management, strategy development, and technical exploration within data science domains.

The Deep Learning Meteorological Scientist will conduct research and develop advanced deep-learning methodologies to enhance weather predictions. Responsibilities include collaborating with team members to implement these methods, analyzing meteorological data, and validating numerical techniques. The role involves staying updated on deep-learning advancements and representing the company in scientific contexts.

The Deep Learning Meteorological Scientist will research and develop deep-learning methods to enhance weather predictions. Responsibilities include analyzing meteorological data, refining numerical methods, collaborating on operational implementations, and staying current on deep learning advancements. The role involves consulting with team members and representing the company at industry events.

The EVP, Global Strategy Insights & Analytics will lead efforts in audience insight gathering, attribution, and marketing performance enhancement. This role involves nurturing client relationships, mentoring teams, and utilizing a blend of creativity and analytical skills to drive effective marketing strategies. The candidate is expected to collaborate with various stakeholders and unlock new opportunities for growth.

The Consultant, Data Analytics & Visualization will develop data processing pipelines, implement data management systems, visualize data through dashboards, and collaborate with clients on data insights while ensuring data quality and integrity.

As a Machine Learning Engineer Intern at Clorox, you will conduct exploratory data analysis, prepare datasets for machine learning models, and design end-to-end ML solutions. Collaborating with ML and Data Engineering teams, you'll present insights and gather requirements to enhance business performance.

As a Lead Data Science Analyst, you will analyze and interpret large data sets to provide insights that drive business growth. Responsibilities include collaboration with cross-functional teams, development of advanced analytics and machine learning algorithms, reporting, and performance tracking.

The role involves using statistical analysis and data visualization tools to clean, manipulate, and analyze datasets for actionable insights. Candidates will work with programming languages like Python, R, and SQL, and required to communicate complex data effectively to non-technical audiences.

The Entry Level Data Analyst will utilize their skills in statistical analysis and programming to analyze large datasets, derive insights, and convey findings to non-technical audiences. They will work with data analysis tools, clean and manipulate data, and support project management efforts while contributing to team goals.

This entry-level position involves analyzing data to derive insights using statistical methods and data analysis tools. The role requires proficiency in programming languages such as Python and SQL, experience with data visualization tools like Tableau, and excellent communication skills to present data findings. A degree in a relevant field is required, and prior internships in related fields are preferred.

As Manager of Data Science, you'll develop analytics products and deliver insights that impact business outcomes by leveraging AI/ML solutions. You'll focus on creating scalable solutions, conducting A/B testing, and utilizing statistical methods to optimize strategies, while collaborating with cross-functional teams to drive data-driven decision-making.

The Principal Data Science role involves leading analytical initiatives to solve business problems using advanced analytics, segmentation, and machine learning. The role includes collaborating with cross-functional teams, conducting analyses, developing automated reports and dashboards, and providing strategic insights to leadership.

The Data Analyst Intern at RippleMatch will assist partner companies in data analysis tasks including statistical analysis, data modeling, and visualization. The intern will interpret complex datasets to provide insights, requiring strong analytical skills and proficiency in data tools such as Python, R, SQL, Tableau, or Power BI.