Top Data & Analytics Jobs in Dallas, TX
The Commission Analyst will be responsible for administering Toast's variable compensation plan, calculating monthly earnings, maintaining commission tools and data, and collaborating with various departments to develop and fine-tune commission plans. The role requires 1-3 years of experience in Sales Compensation, Sales Operations, or Finance, advanced Excel skills, and the ability to thrive in a dynamic work environment.
The Deposit Operations and Reconciliation Analyst at Leader Bank participates in process improvement projects, analyzes data, prepares reports, resolves discrepancies, and collaborates with teams to enhance data integrity and compliance.
As a Senior HRIS & Compensation Analyst at Wasabi, you will be responsible for managing HRIS systems, overseeing compensation programs, analyzing salary data, ensuring compliance, and driving process improvements. You will play a crucial role in supporting decision-making and optimizing HR processes at a fast-growing cloud storage company in Boston.
Featured Jobs
Senior ML Engineer role at Grammarly's On-Device ML team responsible for proposing, designing, and implementing strategic new features using ML models to enhance writing assistance capabilities. Collaborate with core product teams, monitor deployment, and leverage academic research to advance technology.
Join Grammarly's Responsible AI team as a Machine Learning Engineer specializing in NLP. Develop and implement new ML solutions to enhance the safety and fairness of Grammarly products. Work in cross-functional teams to leverage ML advances and build scalable solutions.
As a Machine Learning Engineer at Liftoff, you will own ML models with direct business impact, adopt new technologies, mentor team members, monitor ML research, and influence team roadmaps. Requires 8+ years of ML experience, strong engineering skills, and a degree in Machine Learning, Math, Physics or similar. Experience with AdTech is a plus.
Machine Learning Engineer on the Embeddings team at Liftoff.
CrowdStrike is looking for a highly motivated Senior Analyst for the Falcon Launch team, dedicated to global security, incident handling, and advanced threat detection. The role involves deploying security tools, analyzing incidents, and providing recommendations to clients for optimal protection against cyberattacks.
Seeking a Senior Intelligence Analyst specializing in eCrime analysis to track cyber threats and adversaries. Responsibilities include analyzing intelligence, monitoring threat actors, producing intelligence reports, collaborating with teams, and conducting briefings. Requires 4 years of threat intelligence experience and in-depth knowledge of eCrime cyber threat intelligence.
Seeking a Senior Intelligence Analyst to track targeted intrusion cyber threats from Russia-based adversaries, analyze raw intelligence, track adversary network infrastructure, and provide finished intelligence products to customers.
The Staff Machine Learning Engineer role at Cruise involves driving applied ML research and development for urban roads related to Perception and Object Tracking. Responsibilities include exploring new algorithms, optimizing on-road performance, guiding technology choices, and enabling team members. Required qualifications include a PhD/MS degree in computer vision or machine learning, experience in deep learning projects, programming skills in Python and/or C++, expertise in ML frameworks, strong communication skills, and the ability to design scalable architectures.
As a Staff Applied Scientist, Machine Learning - Perception at Cruise, you will drive impact-focused projects addressing challenges on urban roads with non-standard solutions. Responsibilities include research, development, problem identification, project leadership, technology guidance, and team enablement. Required qualifications include a PhD/MS in computer vision or machine learning, expertise in specific areas, research experience, strong programming skills, and communication abilities.
Looking for an ML Engineer specializing in constructing and managing robust, scalable, and high-performance compute platforms tailored for ML workflows. Collaborating closely with scientists to ensure efficient model training and integration into production environment. Responsible for reliability, cost-effectiveness, scalability, and velocity of ML models.
Individual contributor position in the Emerging ML team at Capital One focusing on data science and machine learning. Responsibilities include building machine learning models, partnering with business teams, and writing software to analyze data.
As a Distinguished Data Engineer at Capital One, you will be part of a technical community defining the future of banking in the cloud. Your responsibilities include articulating a technical vision, decomposing complex problems into solutions, ensuring quality of design, and mentoring the tech community.
Lead the development and implementation plan for Technology Data Excellence tower, optimize application data architecture design and data governance practices, mentor internal and recruit external talent, and promote engineering excellence.
Join Dropbox's Global Tax Reporting team as a Senior Tax Analyst - International. Assist with tax provision, tax accounting, international tax returns, and collaborate with cross-functional teams on tax reporting projects. Requires 4+ years of international corporate tax experience, a degree in Finance or Accounting, CPA preferred, and strong analytical and project management skills.
Senior Data Scientist role in marketing focusing on revenue growth, product optimization, and business monetization through applied analytics techniques and insights. Responsibilities include marketing measurement, developing quantitative models, customer behavior analysis, and data-driven decision-making. Requires a quantitative degree and 5+ years of experience in analytics.
Ontra is seeking a Senior Data Engineer to create and own a data engineering roadmap, collaborate with product and engineering teams, and build data processing pipelines and infrastructure. The role requires 5+ years of core data engineering experience with technical skills in SQL, Python, Snowflake, dbt, Airflow, Kubernetes, Docker, DataDog, and AWS.
Top Companies in Dallas-Fort Worth, TX Hiring Data + Analytics Roles
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