Webster Business/Systems Analysts Job Listings

Workable

Lead Data Scientist

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. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. 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. Key Responsibilities 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 like Incentive elasticity model. Expereince implementing scenario simulation algorithms. 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 8 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. 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.

Houston, TX, USA

Negotiable Salary

Principal Data Scientist - Optimization63393536133761121

Workable

Principal Data Scientist - Optimization

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space. We are looking for a Prinicpal Data Scientist with a good blend of data analytics background, practical experience in optimizing replenishment strategies and allocating resources within supply chains, and strong coding capabilities to add to our team. Key Responsibilities: Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG. Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to replenishment optimization and inventory allocation. Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies. Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement. Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Requirements Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation. MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field. Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications. Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts. Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries. Ability to apply various analytical models to business use cases Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders. 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.

Houston, TX, USA

Negotiable Salary

Lead Data Scientist - GenAI63392031329667122

Workable

Lead Data Scientist - GenAI

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees 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. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Lead Data Scientist, you will apply strong expertise in AI 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. Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Experiment, evaluate, and create generative AI products for a variety of tasks, such as extracting data, summarizing documents, and other generative model applications. Use fine tuning and advanced knowledge retrieval methods to improve the performance of generative AI models on specific tasks Evaluate the performance of models and make necessary improvements Collaborate with other scientists, data engineers, machine learning operations engineers, prompt engineers, and product owners to develop generative AI products Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. 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 8+ years of overall experience, 5+ years working as a GenAI Data Scientist. Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.) Experience with Bedrock, JumpStart, HuggingFace Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming) Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.) Experience developing models from inception to deployment 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.

Houston, TX, USA

Negotiable Salary

Senior Data Scientist - Agentic AI63499816984961123

Workable

Senior Data Scientist - Agentic AI

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees 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. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI 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. Key Responsibilities Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data. Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources. Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions. Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis and process improvement. Develop and deploy AI and ML solutions on Google Cloud Platforms. Utilize massive data sources to craft business insights and features for innovative solutions. Understand diverse data sources, both structured and unstructured. Requirements 6+ years of overall experience, 4+ years working as a GenAI Data Scientist. Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development. Experience with agents frameworks (preferably Langchain). Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc. Experience with proprietary and/or open source LLMs. Experience in prompt engineering. Experience with RAG and Vector Databases 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.

Houston, TX, USA

Negotiable Salary

Workable

Business Analyst

About this Job: If you’re a naturally curious, data-savvy individual who’s excited to shape our future through analytics and insights, this job is for you. Company Overview OptiSigns is a Tech company based in Houston, we’re on a bold mission to become the #1 digital signage platform globally. We’re a fast-growing, customer-obsessed team that values innovation, collaboration, and a commitment to delivering exceptional service. As part of our expansion, we’re looking for a Business Analyst who is eager to grow their career in a dynamic, high-growth environment. The Role: Business Analyst As an Business Analyst, you’ll dive into data and insights that drive key decisions across the organization. You’ll work closely with cross-functional teams to uncover trends, optimize processes, and support strategic planning. This position offers an excellent opportunity to develop both your technical and business skills, with clear pathways for career growth. Key Responsibilities Data Collection & Analysis: Gather, organize, and analyze large datasets (e.g., from SQL databases) to identify patterns, trends, and actionable insights. Reporting & Presentation: Develop clear, concise reports and presentations for stakeholders, ensuring data-driven recommendations are accessible to technical and non-technical audiences. Process Improvement: Collaborate with various teams to streamline operations, enhance workflows, and implement process improvements based on data analysis. Market Research: Conduct research on industry trends, competitor strategies, and market conditions to inform strategic planning and product development. Cross-Functional Collaboration: Partner with product, marketing, finance, and other departments to align data insights with business objectives. Documentation & Data Integrity: Maintain accurate documentation of analytical processes, methodologies, and results, ensuring data integrity and compliance. Requirements Education & Experience: Bachelor’s degree in Business, Finance, Data Science, or a related field. Up to 2-3 years of relevant experience. Technical Skills: Familiarity with SQL, spreadsheet software, and data visualization tools (e.g., Excel, Tableau, Power BI). Analytical Mindset: Exceptional problem-solving skills, with an ability to interpret data and translate it into actionable insights. Critical Thinking & Curiosity: A relentless drive to ask questions, challenge assumptions, and uncover deeper trends. Communication Skills: Strong written and verbal communication skills; comfort presenting complex information clearly and succinctly. Adaptability & Growth Mindset: Eagerness to learn new tools, techniques, and approaches; enthusiasm for continuous improvement. Team Player: Collaborative spirit and willingness to support various teams and initiatives across the organization. Work onsite at our Houston HQ office: 7676 Hillmont Street, Houston, TX 77040 Benefits Career Growth: Accelerated learning environment with opportunities to grow into more senior business analysis or data-focused roles. Dynamic Culture: Fast-paced, innovative workplace where new ideas are welcomed, and every team member’s contribution matters. Competitive Benefits: Dental, Health, and Vision Insurance Flexible Schedule Paid Time Off Professional development and networking opportunities Supportive Team: Work alongside passionate, driven colleagues who value creativity, collaboration, and a customer-centric mindset. Apply now to become part of the OptiSigns team and help us transform the digital signage landscape.

Houston, TX, USA

Negotiable Salary