Data Analyst AI

Key Skills

Effective communication skills, Machine learning techniques, Natural Language Processing (NLP), Python Programming, SQL, TensorFlow, XGBoost

Job Description

We are looking for a seasoned Data Scientist with a minimum of 7 years of experience in data science with a focus on Generative AI to collaborate closely with our AI Product Director in the rapid development and delivery of AI solutions for the ACA healthcare industry. The ideal candidate will have a wide breadth of expertise in data science with special emphasis on predictive modeling and forecasting as well as proficiency in Python, SQL, TensorFlow, and experience using platforms such as Google Vertex AI and NVIDIA NeMo. Experience in data preprocessing using tools like Alteryx and Google Dataflow is also essential.

Responsibilities

• Model Development: Build, validate, test, tune, and deploy predictive models and model pipelines.
• Data Preprocessing: Use specialized tools for data cleaning, transformation, and preparation.
• Collaboration: Work with cross-functional teams to define data-driven strategies.
• Technical Leadership: Lead and manage the data science team and collaborate with the Product Director to facilitate the rapid delivery of AI solutions.
• Innovation: Keep up with emerging technologies in data science and generative AI.

Education

• Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related field preferred.

Skills & Experience

• Minimum of 7 years of hands-on experience in data science.
• Proficient in Python and SQL, TensorFlow, and experience using platforms such as Google Vertex AI and NVIDIA NeMo
• Machine Learning Algorithms:
  • Classical Models: Experience in developing models like Linear Regression, Logistic Regression, and Random Forest.
  • Ensemble Methods: Familiarity with boosting techniques such as XGBoost, AdaBoost, or Gradient Boosting.
  • Classification Models: Proven expertise in classification algorithms like Support Vector Machines (SVM), Decision Trees, and k-NN.
  • Time-Series Analysis: Proficiency in time-series models like ARIMA, SARIMA, or Prophet.
• Deep Learning Experience:
  • Neural Networks: Should be well-versed in designing and implementing different architectures of Neural Networks, including CNNs (Convolutional Neural Networks) and RNNs (Recurrent Neural Networks).
  • Natural Language Processing (NLP): Experience in text analytics using models like BERT, GPT, or LSTM.
  • Computer Vision: Familiarity with image recognition models like YOLO, Faster R-CNN, or Mask R-CNN.
  • Experience with Machine Learning Frameworks:
  • TensorFlow: Proficiency in developing and deploying machine learning models.
  • PyTorch: Experience in research-based machine learning tasks is a plus.
  • Familiarity with Google Vertex AI and NVIDIA NeMo: For model development, deployment, and scaling.
• Data Preprocessing Experience:
  • Google Dataflow: For data cleaning and preparation as well as real-time and batch data processing.
  • Strong Communication Skills: Both verbal and written, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Collaborative Team Environment: Ability to work well in cross-functional teams.

Don’t delay…Apply today!!!!