Company Description
TPIS Consultant is an innovative health-tech startup focused on harnessing enterprise AI and automation to revolutionize the healthcare recruitment and providers market. Our key solutions include full-stack healthcare hiring, specialized AI and data tools for addressing financial and operational challenges, and advanced CRM platforms for healthcare organizations. By integrating internal and external data sources with AI, automation, and process transformation, we deliver tailored solutions that drive measurable value. Our mission is to empower healthcare providers with cutting-edge tools to optimize their hiring and operational effectiveness. Role Description
This is a full-time remote position for an Advanced Analytics Specialist. Job Description: Advanced Analytics SpecialistDepartment: Data Science & Machine learning AnalyticsOverview: We are seeking an experienced Advanced Analytics Specialist to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background and a passion for transforming complex data into actionable insights. Key Responsibilities:• Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI, Agentic AI applications• Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets.• Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions.• Create visually compelling dashboards and reports to present findings to stakeholders.• Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance.• Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team.• Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications:• Bachelor’s or Master’s degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field.• 7+ years of experience in advanced analytics, data science, machine learning, Generative AI, Agentic AI or a related field.• Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies• Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI• Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data.• Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders.• Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills:Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents.• Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives • Hyper parameter tuning • Prompt Engineering• Embedding & Vectorization• Fine tuning• Strong Python, SQL skillset• Experience with building agents on Vertex AI using GCP tools like BigQuery and Jupyter Lab is a must haveProficient in the following advanced analytics techniques:• Descriptive Analytics: Statistical analysis, data visualization.• Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling• Prescriptive Analytics: Optimization, simulation modeling.• Text Analytics: Natural Language Processing (NLP), sentiment analysis.Extensive knowledge of machine learning techniques, including:• Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others• Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others• Reinforcement Learning: Q-learning, deep Q-networks, etc.Proficiency in data visualization tools such as Tableau or Power BI.Strong skills in data management, structuring, and harmonization to support analytical needs.
