Data Scientist Salary at Explorium BETA

About Ascendion Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: Build the coolest tech for world’s leading brands Solve complex problems – and learn new skills Experience the power of transforming digital engineering for Fortune 500 clients Master your craft with leading training programs and hands-on experience Experience a community of change makers! Join a culture of high-performing innova

Senior Data Scientist Location: Hybrid (Fort Worth, Ann Arbor), OR Remote Travel: At least 4x per year to collaborate with teams Salary: $145,000 - $165,000 (based on experience, ~5 years experience around $150-$160k) About the Role: We are seeking a talented Senior Data Scientist to join a dynamic and fast-paced team at a leading global technology company specializing in commerce media. In this role, you will be instrumental in solving complex challenges in adtech by building and deploying machine learning models and statistical algorithms to optimize large-scale data systems. You'll work alongside cross-functional teams to create data-driven solutions that drive business growth, enhance user experience, and improve targeting and optimization processes across digital platforms. Key Responsibilities: Develop scalable machine learning models, classifiers, and tools using regression, machine learning, and optimization techniques Design and deploy production-grade models on large data set

Selby Jennings has partnered with one of the most prestigious tax consultancy agencies in the US - a firm that works with major Fortune 500 companies and has one of the highest employee satisfaction ratings - to find right mid-level data scientist. The firm is attempting to optimize their vast data sets using generative AI, across 16,000 clients and 60 countries. Your team will be a new growth team, with a strong AI/ML focus. The right data engineer has: Experience in finance, ideally currently working for a large finance firm currently A CompSci degree from a well respected university, ideally a PhD Strong tenure at the current firm (2+ years) Azure, AWS, ETL experience Local to Dallas/Texas, or open and motivated to move to the city 1-6 years of data science experience This firm is consistently ranked as one of the top places to work in the state, has an very flexible hybrid schedule, great benefits and a competitive compensation. This industry specifically offers unparalleled securi

Matheson produces industrial, medical and specialty gases and associated gas-handling equipment in North America. We provide complete customer solutions, offering everything from onsite air separation plants to small portable cylinders and all the services required to support these products and customer applications. MATHESON has over 300 locations in the U.S. and more than 4500 employees. You can learn more about us at www.mathesongas.com We are expanding our Artificial Intelligence team and looking to hire a few Data Scientists based in our Irving TX corporate office. You will solve critical business challenges through AI and ML analysis. Key Responsibilities: Collect and organize AI data from various sources Perform analysis and modeling to predict trends from our AI tools Communicate AI analytics results Automate processes by building pipelines and AI/ML algorithms Stay on top of advancements in AI-focused data science Requirements: 3+ years of industry experience in a data scienti

Role: Data Scientist - Mid Location : Irving, TX Full Time job Onsite About the job: You’ll be joining a multidisciplinary team of scientists, researchers, designers and engineers who research and innovate on latest technology to create awesome digital products that millions of people will experience every day. You will be responsible for building and deploying AI/ML solutions that improve customer experience, enable innovative user experiences, and increase store revenue. Engineers at 7Next have solid technical background but enjoy learning new languages, technologies, and frameworks. From creating an experimental machine learning prototype to deploying a production-ready backend, engineers at 7-Eleven take many hats to see projects to completion. Key Responsibilities: Research, prototype, and develop software solutions to solve problems across retail Stay up to date with emerging technology and learn new technologies/libraries/frameworks Learn and partner with peers across multiple d

Role : Data Engineer Location : Dallas, TX FTE ONLY About the Role: We are seeking a highly skilled and motivated Data Engineer with expertise in Oracle and PL/SQL to join our growing team. In this role, you will be responsible for designing, developing, and maintaining data pipelines and ETL processes to support critical business operations. You will work closely with data analysts, data scientists, and business stakeholders to understand their data needs and translate them into effective and efficient data solutions. Key Responsibilities: Design, develop, and implement data pipelines and ETL processes using Oracle PL/SQL, Snowflake and other relevant technologies. Extract, transform, and load data from various sources, including databases, APIs, and flat files, into Oracle databases. Optimize database performance through query tuning, indexing, and partitioning. Develop and maintain complex SQL queries and stored procedures. Troubleshoot and resolve data quality issues. Collaborate w

Senior Machine Learning Engineer Dallas-Fort Worth (DFW) Area / Remote (East or Central Time Zones) $175,000 - $200,000 + Bonus Company: The company builds advertising marketplaces that allow publishers to monetize their inventory while helping advertisers achieve their performance goals, with a focus on enhancing the customer experience. They are seeking a talented Machine Learning Engineer to join their Data Science team, where the engineer will play a key role in developing and deploying scalable, innovative models. Success in this role requires experience deploying complex models in high-throughput, low-latency environments, a solid foundation in ML algorithms, and a passion for delivering measurable results in a fast-paced environment. Role: Collaborate with data scientists, engineers, and stakeholders to translate business goals into machine learning solutions. Develop and implement machine learning models for tasks like recommendation systems, NLP, and predictive analytics. Depl

Key Responsibilities: Research, prototype, and develop software solutions to solve problems across retail Stay up to date with emerging technology and learn new technologies/libraries/frameworks Learn and partner with peers across multiple disciplines, such as data, product, and systems design Deliver on time with a high bar on quality of research, innovation and engineering Basic Qualifications: 3+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc. 3+ years of experience training, evaluating and deploying Machine Learning models. 2+ years of experience with productionizing and deploying ML workloads in AWS/Azure. Familiarity with containerized application tooling and deployments (Docker/Kubernetes) Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience Extra Credit: Experience with AWS Sagemaker and/or Databricks AI/ML platform. Experience building ML models with large amounts of structured an