Data Science Intern. Salary at Flip Robo Technologies Llc BETA

We are seeking an experienced Data Scientist to join our team of innovative problem solvers applying advanced machine learning techniques to real-world challenges in the industrial and energy sectors. In this role, you will build and deploy predictive models focused on machine vision, anomaly detection, and predictive maintenance to prevent injuries and equipment breakdowns. Key Responsibilities: Data Exploration & Modeling: Analyze large-scale, structured and unstructured datasets to uncover key patterns and insights. Build, test, and deploy predictive models using Python-based machine learning libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow). Develop anomaly detection models and predictive maintenance algorithms to enhance operational efficiency and safety. Data Engineering & Workflows: Build, maintain, and optimize data pipelines and automated workflows—ideally leveraging Databricks or similar platforms (e.g., Azure, AWS, or Apache Spark). Handle high-volume sensor data str

**No C2C** Lead Data Scientist – Big Data & Advanced Analytics We’re seeking an experienced Lead Data Scientist to drive machine learning and AI solutions within our Data Analytics team. You’ll partner with Data Engineering and business units to turn complex data into actionable insights. Responsibilities Lead end-to-end data science projects across business functions Translate business needs into data-driven solutions Clean, transform, and analyze data Develop, deploy, and maintain ML models Present findings and support strategic data initiatives Qualifications 5+ years in data science, ML, and Python (pandas, scikit-learn) 3+ years in SQL, NLP, statistical analysis, and data visualization (Python, Power BI, Spotfire) Strong software engineering foundations Excellent communication and problem-solving skills Preferred Experience with GCP (BigQuery), AI tools, recommender systems, and customer analytics Background in media/publishing Willingness to travel occasionally to Austin

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

We are currently seeking an experienced data scientist to join the Big Data and Advanced Analytics department. As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world problems using machine learning, data science algorithms and artificial intelligence. Responsibilities include: Work independently on data science projects for multiple business functions Identify and frame the data science opportunity from understanding the business problem / opportunity Gather, cleanse, and transform internal and external data Analyze data and deliver insights via visualizations and dashboards Create predictive models, productionize, and maintain machine learning models that address business problems Present, explain and defend results from analysis and modeling, and approach taken Participate in strategic planning discussions around data science and big data The successful candidate will meet the following q

Job Title: Data Scientist – AI/ML Focus (Contract) - Job#5459 Worksite: Hybrid Onsite mandator Mon-Thur – Houston, TX We are seeking a curious, proactive, and innovative Data Scientist with a strong foundation in AI/ML and Large Language Models (LLMs) to join our team. The ideal candidate has experience blending various datasets, building statistical/machine learning models, and deploying AI-driven solutions that drive business impact. This role involves working with LLMs, natural language processing (NLP), and deep learning techniques to develop AI-powered applications. You will play a pivotal role in designing, training, and deploying scalable AI/ML models, while also translating complex data insights into actionable business strategies. Key Responsibilities: AI/ML Model Development: Design, train, and fine-tune machine learning and deep learning models, including LLMs, for predictive analytics, automation, and AI-driven decision-making. Data Analysis & Feature Engineering: Collect,

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

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

Job Title: Data Scientist - Power Systems Job Description: We are seeking a Data Scientist with deep expertise in power systems to support utility operations, grid modernization initiatives, and data-driven engineering efforts. The ideal candidate combines strong data science skills with a solid understanding of electric transmission and distribution systems, enabling them to derive actionable insights that enhance reliability, efficiency, and resiliency. Key Responsibilities: Develop and implement advanced analytics, machine learning, and statistical models to solve complex problems in power system operations, asset management, and grid planning. Analyze large volumes of operational and engineering data (SCADA, AMI, outage, DER, GIS) to detect patterns, forecast performance, and optimize system behavior. Collaborate with engineering, operations, and IT teams to identify high-value use cases and deliver practical, data-driven solutions. Leverage domain knowledge in power systems to inf