About Our Culture: We're on a constant search for talented individuals who are enthusiastic about improving businesses with technology. We’re passionate about hiring the right people with diverse skills and backgrounds — not just the right keywords on a resume. Our culture is friendly, fun, and fueled by innovation, and we are focused on providing our employees with the tools and skills they need to grow in their careers. Here, you’ll find that providing a comfortable and accommodating work environment is a top priority, because we know you’re at your best when you’re able to live a well-rounded and full life. Title: Technical Consultant Roles & Responsibilities: Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests (all domains). Engaging closely with Account Executives as two in a box, working with CxOs and clients closely to drive their AI charter and agenda Help identify POCs and Pilots and get hands on with proving AI use cases in client environments. Familiarity with solutions like Next Best Action, Personalization and other models that drive customer engagement and/or backoffice improvements using AI Suggesting ways in which insights obtained might be used to inform business strategies. Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant. Experience in working with AI models in specific domains like Healthcare, Communications, Consumer, Retail, Lifesciences, Software, Gaming, Technology Products and Services. Primary-Skill Set Preferred Masters degree in data science, statistics, computer science, or similar with 2+ years experience hands on working in the industry or with customers. Industry experience as data scientist and experience in machine learning, data visualizations, data mining, data understanding. Hands-on experience in PySpark, Python and machine learning libraries like numpy, pandas, sci-kit-learn Should have sound knowledge in both Supervised and Unsupervised Machine Learning Algorithms Like Linear Regression, Logistic Regression, K-Nearest Neighbor, Navie Bayes, Decision Tree, SVM, MLP, PCA, LDA, K-mean, Isolation Forest, DBSCAN, Ensemble Machine Learning Algorithm (Random Forest, Adaboost, Xg-Boost etc) Should have knowledge in Statistics, hypothesis testing, EDA, Feature Engineering Should have experience in Deep Learning Models, Generative Adversarial Network (GAN), Reinforcement Learning Models (SARSA, Q-Learning), LSTM, BI-LSTM, BERT, GPT-3, GPT-4, Transformers Experience in Natural Language Processing, NER Models, have knowledge in OpenAI , Image Processing Knowledge in Time-series Forecasting, Predictive Methodologies Proficiency in Python, PySpark, Hive datasets In-depth understanding of SQL, NoSQL. Competent in machine learning principles and techniques. Demonstrable history of devising and overseeing data-centered projects. Knowledge in Clean Code and code-optimization Compliance with prevailing ethical standards. Good to have experience in cloud environment (AWS, Azure etc.) Research and innovation. Strong written & verbal communication skills Excellent listening skills to evaluate customer needs and translate them into solutions that work Proven problem solving and critical thinking skills Willing to live and work in Indianapolis for 1-2 years Ability to travel up to 25% or more and an interest in traveling in the future We are an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. Roles & Responsibilities: Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests (all domains). Engaging closely with Account Executives as two in a box, working with CxOs and clients closely to drive their AI charter and agenda Help identify POCs and Pilots and get hands on with proving AI use cases in client environments. Familiarity with solutions like Next Best Action, Personalization and other models that drive customer engagement and/or backoffice improvements using AI Suggesting ways in which insights obtained might be used to inform business strategies. Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant. Experience in working with AI models in specific domains like Healthcare, Communications, Consumer, Retail, Lifesciences, Software, Gaming, Technology Products and Services. Roles & Responsibilities: Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests (all domains). Engaging closely with Account Executives as two in a box, working with CxOs and clients closely to drive their AI charter and agenda Help identify POCs and Pilots and get hands on with proving AI use cases in client environments. Familiarity with solutions like Next Best Action, Personalization and other models that drive customer engagement and/or backoffice improvements using AI Suggesting ways in which insights obtained might be used to inform business strategies. Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant. Experience in working with AI models in specific domains like Healthcare, Communications, Consumer, Retail, Lifesciences, Software, Gaming, Technology Products and Services.