Data Science Consultant

3 days ago


New Brunswick, New Jersey, United States Wipro Full time
About Our Culture

We're a technology-driven organization that's passionate about improving businesses with innovative solutions. Our culture is built on the principles of innovation, collaboration, and customer-centricity.

We're committed to providing our employees with the tools and skills they need to grow in their careers. Our work environment is friendly, fun, and accommodating, allowing our employees to live a well-rounded and full life.

Job Summary

We're seeking a highly skilled Data Science Consultant to join our team. As a Data Science Consultant, you'll be responsible for formulating, suggesting, and managing data-driven projects that further our business interests.

You'll work closely with our Account Executives, CxOs, and clients to drive their AI charter and agenda. Your expertise in AI models, machine learning, and data visualization will help us identify POCs and Pilots and prove AI use cases in client environments.

Key Responsibilities
  • Formulate, suggest, and manage data-driven projects that further our business interests.
  • Engage closely with Account Executives, CxOs, and clients 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.
  • Suggest ways in which insights obtained might be used to inform business strategies.
  • Stay informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.
Requirements
  • 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 of experience hands-on working in the industry or with customers.
  • Industry experience as a Data Scientist and expertise 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.
  • 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).
  • Knowledge in Statistics, Hypothesis Testing, EDA, Feature Engineering.
  • 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, and 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 and 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.



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