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.

• 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

• 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.

• 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.