Job Url: https://www.remoterocketship.com/company/tiger-analytics/jobs/lead-data-scientist-united-states-remote Job Description: Tiger Analytics Website LinkedIn All Job Openings Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies. Machine Learning • Predictive Analytics • Forecasting • Optimization • Natural Language Processing 1001 - 5000 employees Founded 2011 🤖 Artificial Intelligence 🤝 B2B Lead Data Scientist 16 hours ago 🤠 Texas – Remote ⏰ Full Time 🟠 Senior 📊 Data Scientist 🦅 H1B Visa Sponsor Apply Now Receive Emails with Similar Jobs Report problem 📋 Description •Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. •Our consultants bring deep expertise in Data Science, Machine Learning and AI. •We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. •As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. •You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. •You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. •You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. •Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. •Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks. •Collaborate with data scientists to translate models into production-ready code. •Implement CI/CD pipelines and manage code repositories using GitHub Enterprise. •Design and optimize mathematical programming and machine learning models for real-world applications. •Work independently to break down complex problems into actionable development tasks. •Ensure code quality, scalability, and maintainability in a production environment. •Contribute to sprint planning, documentation, and cross-functional collaboration. •Collaborate, coach, and learn with a growing team of experienced Data Scientists. •Stay connected with external sources of ideas through conferences and community engagements 🎯 Requirements •5 years of experience working as a Data Scientist •Hands-on experience with enterprise data science solutions, preferably in retail, inventory management, or operations research. •Proficiency in Python, SQL, and PySpark. •Experience with Databricks or similar enterprise cloud environments. •Strong understanding of CI/CD principles and version control through GitHub Enterprise. •Experience defining and validating service contracts using Pydantic for data validation and API schema enforcement. •Experience with production-level coding and deployment practices. •Familiarity with basic machine learning techniques and mathematical optimization methods. •Proficient in data science libraries and ML pipelines such as; NumPy, SciPy, scikit-learn, MLlib, PyTorch, TensorFlow. •Self-starter with an ownership mindset and the ability to work with minimal supervision. 🏖️ Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Apply Now