Data Scientist Salary at Prolamsa BETA

Position Overview Opportune is seeking an Azure ML Developer for their Process and Technology group. This role focuses on designing, developing, and deploying machine learning solutions using Microsoft Azure's AI and ML services. The ideal candidate will have experience with Azure Machine Learning, data engineering, model training, deployment, and MLOps. This role requires collaboration with data scientists, software engineers, and business stakeholders to build scalable and efficient ML models. This is a fast-paced, challenging role that focuses on skill development and accelerated learning. You will work in a client-facing role in a team environment that provides services supporting the client. It’s important that the candidate is committed to further development of their AI solutions skills as the industry rapidly adopts these concepts. Skills and Experience 2-3+ years of experience in machine learning and cloud-based AI solutions. Bachelor's degree or higher in computer science, da

Position Summary The Senior (or Advisor) Data Scientist role is a technical individual contributor role, focused on supporting business opportunities through the use of exploratory data analytics, machine learning models and generative AI opportunities. This position is located in Downtown Houston, TX. Hybrid work schedule is an option for remote work on Mondays and Fridays. Level and salary commensurate with experience. Essential Job Functions The primary responsibility involves leading and participating in multi-disciplinary projects aimed at providing business solutions to a diverse set of problems ranging from, but not limited to, production automation/optimization, drilling and completion process optimization, back-office process improvement and automation, dashboard generation and deployment, and computer vision aided operations. Additionally, the Data Scientist will contribute to the adoption of new technologies and best practices for analytical workflows. The ability to work we

Job Description We are currently seeking a highly driven Oil and Gas Analyst. This role offers the opportunity to join a rapidly growing company delivering industry-leading solutions to customers in the world's most dynamic and fastest-growing sector. Performance Objectives Leverage analytical abilities to derive high-value datasets and insights centered around operational efficiencies, cost optimization, capital deployment, and engineering practices Work with a group of data scientists to solve complex problems with cutting-edge statistical methods Manage and execute project timelines and expectations by working with internal developers and analysts and effectively communicate progress and risk Develop strong relationships with industry partners and become a go-to analyst on all relevant projects Embrace cutting-edge technologies such as real-time streaming apps, next-generation GPU databases, and high-end visualization tools to develop high-performance software Be knowledgeable on br

We are a mid-sized Management Consulting, Automation, and Data/Process Science firm, established in 1993, serving Fortune 1000 companies throughout North America. We have developed a unique, template-based and data-centric approach to our client projects, which are conducted off-site from our Houston office. The Lab is proud to announce we have invested in a new office build out in the Galleria area. We are mindful of employee experience and currently operate at 50% capacity in the office. We are seeking a data scientist who is passionate about business processes, automation, operational data measurement, and the intellectual challenge analyzing them offers. The person we seek has previous experience in successful data science roles, performing strategic analysis and, or, operations improvement projects. The data scientist will be part of a management consulting and data science team that performs analysis on client data and assists with the development, implementation and integration

Required Skills & Experience • 3+ years of experience in data science or related field, with a focus on predictive/prescriptive modeling, and statistical analysis • Advanced skills in SQL, statistical methods and techniques to address business needs. • Experience building data models with machine learning. • Proficiency in Python for predictive analytics. • Any cloud platform experience (preferably GCP) Nice to Have Skills & Experience • Experience in the retail industry, preferably in an omnichannel environment. • Experience with LLM/NLP models in Gen AI. Job Description A large retail employer in Katy, Tx. is looking for a Sr. Data Scientist to join their data science team alongside 5-6 other data scientists. The Sr. Data Scientist will be responsible for designing, building, and validating predictive models to support various business functions such as sales forecasting, customer segmentation, and propensity scoring models. This person must be able to lead project lifecycles from pr

Principal Architect – Data & Machine Learning Platform Remote (U.S.) | Full-Time | Lead Innovation at Scale Up to $200k + 15% bonus This is an exciting opportunity to shape the future of enterprise data and machine learning. Join a forward-thinking organisation where architecture is not just theory—it’s strategy, hands-on leadership, and mission-critical execution. They’re a values-led, high-impact business with a deep commitment to innovation, purpose, and excellence. Their people are empowered to challenge the status quo, collaborate across boundaries, and deliver technology that makes a measurable difference. They’re searching for a Principal Architect to spearhead the evolution of our enterprise data and machine learning platform. You’ll design robust, scalable systems that empower data scientists, engineers, and business units across the organisation—all while staying grounded in real-world application and engineering best practices. You won’t just advise—you’ll build. Prototype.

Description Our client is an energy infrastructure company focused on the development, construction, and operation of energy storage assets in wholesale electricity markets. Formed in 2017, the company is a national leader in energy storage deployment, utilizing its proprietary dispatch optimization applications to maximize the value of our storage deployments to the grid. Backed by a major Infrastructure fund, they have a strategic and established portfolio of over 1,400 megawatt hours of utility-scale energy storage projects operating or in construction in the U.S., with a leading pipeline of over 11,000 megawatts in active development. Our client seeks to hire a highly motivated and experienced professional as its Principal Data Scientist. The successful candidate will lead the team's data science initiatives, leveraging deep domain knowledge and hands-on experience in data engineering, machine learning and artificial intelligence to drive innovation and optimization across the orga

Are you passionate about working on innovative projects that leverage ServiceNow predictive analytics for inventory management? Our Houston-based client is looking for a skilled Sr. ServiceNow Analytics Specialist to join their team. This role offers the flexibility of either working onsite in Houston or remotely, with an initial 2–3-month contract, and the potential for extension into a long-term position (6-12 months). This is a fantastic opportunity to contribute to the transition from a legacy order entry system to ServiceNow, with the potential for long-term career growth. If you're ready to be part of a cutting-edge project, we'd love to hear from you! CONTRACT PAY: Up to $70/hour depending on candidates experience, etc. WHAT CAN BCT OFFER YOU? BCT pays up to 60% of medical insurance for employees $50k paid life insurance policy Home, Auto & Pet Insurance along with Legal & Identity Theft Dental & Vision, 401K match, and short & long-term disability insurance Flexible Spending Ac