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Continuously improve analytical methodologies and automation processes to enhance data workflows. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.

At least 3 years of experience as a data scientist, ML engineer, or applied research engineer, ideally supporting cybersecurity applications. Knowledge of data privacy and security regulations such as GDPR, CCPA, or HIPAA, and experience handling sensitive customer data accordingly. Data Scientist /

Experience supporting Finance, Accounting, Strategic Finance, FP&A, Investor Relations, or other finance-focused stakeholders. Drive data accuracy and completeness across month-end, quarter-end, and year-end close processes alongside Strategic Finance and Accounting teams. Data Science, Analytics, F

Partner with Growth Marketing leadership as the embedded analytical lead: attending marketing cadences, co-owning the analytics roadmap, and driving insight into action. You will own the executive narrative on marketing and product funnel performance, lead our experimentation and causal inference pr

Are you ready to dive into the world of big data and complex algorithms? We’re seeking a Senior Data Analyst/Scientist to become a key technical contributor on our Complex Algorithm Team. If you're passionate about solving complex business and technical problems, working with large-scale data, str

This is a senior individual contributor role with significant opportunity to influence our products, technical approaches, and data strategy, including how Quest Analytics uses machine learning, advanced analytics, and emerging AI technologies. As part of our hiring process, Quest Analytics may use

In this role, you will partner closely with Safety Product, Engineering, and Machine Learning teams along with fellow Safety data scientists, to shape strategy, product development, define and evolve safety metrics, and drive analytics for some of the most important decisions in the Safety org. Own

As a Senior Data Scientist at Shopmonkey, you will be a part of a globally distributed team working closely with your product and engineering counterparts.We are looking for a generalist who thrives across the full project lifecycle — from statistical modeling and data analysis to experimentation

Design data-sourcing methodologies that evaluate, score, and combine heterogeneous inputs (public filings, web sources, licensed data) into accurate, defensible account signals. As a Data Scientist on the Link Key Accounts team, you'll build the models and methodologies that turn multi-source health

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance.You will build data products to extract valuable business insights, analyze trends and help us make better decisions.We expect you to be hig

Work with Data Engineering and other technical teams to improve data quality, data availability, and the reliability of planning data. We are looking for a Senior Data Scientist to develop data-driven forecasting and analytics solutions for networking hardware and data center infrastructure plannin

Experience with ETL/ELT pipelines, data modeling, orchestration frameworks, and cloud-based data platforms. As a senior individual contributor, you will partner closely with Supply Planning, Manufacturing, Sourcing, Logistics, Capacity Planning, Data Center Operations, and Engineering teams to devel

Master's Degree in Data Science, Mathematics, Statistics, Computer Science, Machine Learning, Bioinformatics, Mathematical Finances, Information Systems, Operations Research, Economics, Physics, or related field AND 6 years of experience in data science, machine learning, data engineering, or relate

Required skills for Java/full stack/software positions: Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding

Senior Data Scientist – Oil & Gas AnalyticsThe role is still open with the direct client and we can also consider non-local candidates who are open to relocation. Data Science, Advanced Analytics, or Machine Learning. Preferred Skills & TechnologiesMicrosoft Azure, Azure Data Factory, Azure Synaps

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers.

Experience working in shared analytics/engineering environments (version control, documentation, reproducible workflows)Experience supporting model measurement/monitoring through dashboards and performance reportingAs a Starbucks partner, you (and your family) will have access to medical, dental, vi

We'd love to hear from people with:4+ years in data science, applied analytics, or a closely related fieldBA/BS in a quantitative field (or equivalent practical experience)Proficiency with Python or R and SQLPreferred qualifications:MS/PhD in a quantitative discipline (or equivalent advanced experie

Essential Duties and Responsibilities (Min 5%)Data Science & Advanced Analytics: Develop, maintain, and improve predictive models using Python, R, and Databricks to enhance business insights. Data Engineering & Automation: Identify opportunities for automation and optimization within data pipelines,

Data Scientist OpportunityOur Data Science team sits at the heart of innovation, driving impactful solutions across customer experience, operational efficiency, and business growth.We are a diverse group of data scientists, machine learning engineers, and technical leaders working on high-impact pro

As a Lead Data Scientist on the Retail Testing Analytics team, you will lead the development of production-grade statistical frameworks, advanced analytics solutions, and optimization algorithms that power Starbucks' enterprise testing, experimentation and measurement capabilities. Now Brewing – L

The Project Scientist I works closely with project managers and senior staff to execute work plans, collect and analyze environmental data, document field observations, and support project deliverables. Project Scientist I to join our Environmental team in Nashville. This is an excellent opportunity

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25/hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You do

Salary: $114,400 - 135,200 per year.We need a strong background as a Business Analyst supporting complex, enterprise-scale technology initiatives.We require demonstrated experience gathering, analyzing, and documenting detailed business and technical requirements.We need experience coordinating acro

Establish standards for filing structures, naming conventions, metadata, version control, and quality assurance.

Foundational Data sits inside Cloud Infrastructure and is a deliberate mix of Data Engineers and Analytics Engineers working as one team. The Foundational Data team builds and operates the high-quality, widely reused datasets that power critical decisions across Airbnb: how visitors are measured fro

Expert SQL skills with experience working with large, complex datasets, building data models and pipelines, and operating within modern cloud data warehouses. ShopMy’s growing Data & Analytics team and become a dedicated analytics partner to Product, Engineering, and Design. You can think in SQL,

Strong data management instincts — you've built custom reports, run data audits, caught data quality issues before they became business problems, and you understand what governance actually means in practice. You are the check-and-balance for People data across the organization — and the person

Please Note: This is a Remote job (part-time 20 hrs a week).The candidate shall be responsible for supporting IRM&TS management as directed, assisting with tasks such as strategic planning, project tracking or the development of documents and presentations.The candidate will also participate within

VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI si

The Data Engineer will work with technical teams, program leadership, and government stakeholders to integrate complex data sources, improve data quality, and deliver secure, scalable data products that support analytics, automation, artificial intelligence, and operational decision-making. Develop

The Data Stewardship team is a group of passionate data practitioners with a diverse background in analytics, data modeling, governance, compliance, and scaled data quality. You’ll be part of the overall Data Infrastructure organization that is responsible for online and offline data infrastructur

Security Software Data Engineer III.

You should be an expert in using Python and SQL to build lightweight, highly actionable data reporting tools (using Streamlit and BigQuery-connected Google Sheets) and conducting deep-dive Exploratory Data Analysis (EDA) in Jupyter Notebooks. Familiar with best practices in secure data handling and

Maintain and improve data pipelines in Microsoft Fabric, including Data Pipelines, Dataflows, and Notebooks, to keep data flowing reliably across the business. Our data platform is already built on Microsoft Fabric using a Medallion architecture (Bronze, Silver, Gold), with clean, structured data fl

If you’re passionate about building modern data platforms, working with large-scale cloud data systems, and applying data engineering best practices in a regulated healthcare environment, we’d love to talk. You will play a critical role in shaping AssistRx’s enterprise data architecture, ownin

As a Staff Research Engineer for Pre-training Data, you will define the technical strategy and architecture for the data curriculum pipelines that power our next-generation foundation models. Ray Data, Spark, or custom high-performance dataloaders). Experience handling Unstructured and Semi-Structur

You’ll work at the intersection of data engineering, analytics and product, building and maintaining the pipelines that power our LiveOps systems, reporting, and experiments. You’ll be hands-on with our data, solving problems, spotting trends, and helping the team make smarter, faster decisions

Experience with Salesforce as a data source — you understand CRM objects, fields, and the quirks of modeling data. Own data quality and documentation for your domain: clear definitions, source-of-truth tables, and QA that stakeholders can trust without double-checking. Expert SQL and hands-on dbt

As a Senior BI Data Analyst, you’ll be a core member of our Data Analytics team, responsible for turning data into insight and insight into action. This role will work at the intersection of analytics and data science to prepare and structure data, build advanced models, and interpret results with

You're a great fit if you're comfortable digging into messy, high-volume transactional data, enjoy translating findings into clear recommendations, and want your analysis to directly influence how PrizePicks fights fraud. Advanced SQL for extracting, manipulating, and analyzing data. Data visualizat

Own the cloud data warehouse and its transformation layer — staging, business logic, and mart tables — keeping data clean, documented, and performant for analytics and data science. Design, build, and maintain ETL and reverse-ETL pipelines connecting our MarTech and healthcare data stack — CRM

In this role, you will build reliable data pipelines, contribute to our enterprise data architecture, and help improve how data is modeled, governed, and accessed across the organization. Design, build, and maintain scalable data pipelines across internal databases, vendor systems, and our data ware