Top Data & Analytics Jobs
Seeking a Data Analyst with 5+ years of experience in system integrations and data analysis to lead high-value integration services for customers.
The Senior Technical Recruiter will drive recruitment efforts for data science and engineering roles, collaborating with hiring managers, implementing data-driven acquisition strategies, and optimizing recruitment processes to enhance candidate experience. They will utilize diverse platforms to attract candidates and analyze recruitment metrics for continuous improvement.
As a Senior Data Engineer at Smartsheet, you will analyze and mine large datasets to develop insights that drive decisions, specifically partnering with Finance. You will complete the analytics lifecycle, automate reporting, and effectively communicate complex findings to both technical and non-technical stakeholders, enhancing financial data analysis and creating self-serve capabilities.
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Analyzing data from relational databases, developing cross-functional analytics projects, building relationships with stakeholders, and presenting key insights to support decision-making.
As a Senior Database Engineer at Angi, you will be responsible for managing MySQL database systems in an AWS cloud environment. Your role involves leading database architecture design, troubleshooting, and providing support for database systems. You will work closely with the Database and Development teams, automate database management tasks, and stay updated on industry trends.
As a Staff Machine Learning Engineer, you will enhance Lime’s demand forecasting and positioning algorithms, execute a multi-year ML strategy, and work collaboratively across teams. Your role includes coaching engineers and data scientists while tackling complex ML challenges.
The Data Scientist Consultant at RQM+ leads and executes advanced data analysis automation and risk management projects, integrating and interpreting large datasets for medical devices and diagnostics. This role requires expertise in ETL, machine learning, data pipelines, risk analysis, and database querying.
Nava is looking for a Data Scientist to join their team and help reimagine the digital services provided by the government. The role involves data collection and cleaning, statistical analysis, machine learning, data visualization, and deployment of solutions. The ideal candidate should have 5+ years of experience in a qualitative production environment, proficiency in statistical and query languages like R, Python, and SQL, and knowledge of advanced statistical techniques and machine learning.
Design, build, and maintain business-critical data and distributed systems to provide real-time and reliable data for go-to-market tools and internal users. Work on connecting production backend/data to business systems, increasing data flow efficiency, and building data systems using GCP. Collaborate cross-functionally with various teams and ensure high-quality data across the organization.
The Senior Software Engineer will empower Data Science initiatives by refining data models, improving data retrieval systems, performing statistical analyses, and integrating data science solutions into products. They will work closely with stakeholders to address business problems and enhance data democratization practices.
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