Remote friendly
 • 
Full-time

Lead Machine Learning Engineer/ Data Scientist (USA)

Davidson Ave, Franklin Township, NJ 08873, USA

Company Description

WhizAI is the first and only purpose-built cognitive insights platform for life sciences, empowering users to get answers to their business

Job Description

Out of the box, thinker to build innovating ML models and Lead the Data Science/Machine Learning team for an AI based startup who will:

  • Understand and analyze requirements requiring Machine Learning Models from product owners, customers, and other stakeholders
  • Analyze and verify data quality and features
  • Design solutions by choosing the right algorithms, features, and hyper parameters
  • Manage the full life cycle of ML Models: Data Acquisition, Feature Engineering, Model Development, Training, Verification, Optimization, Deployment, Versioning
  • Augment Enterprise data with publicly available datasets to enrich models & features
  • Create strategies for integrating the whiz.ai platform with external enterprise data sources like Databases,Data Warehouses, Analytical Stores, External ML Systems/Algorithms, Hadoop and ERP/CRM systems
  • Need unrestricted right to work in the United States

Qualifications

Technical

  • 10+ years of software development experience, with 5+ years of experience in implementing machine learning models
  • Machine Learning-based models: ANN, SVM, Logistic Regression, Gradient Boosting
  • Statistical Modeling with ARIMA, STL, Exponential smoothing
  • Time Series Anomaly Detections Methods, Hierarchical or Grouped Time Series Forecasting
  • Understanding of ML & Data processing frameworks like TensorFlow or PyTorch, XGBoost, SciPy, Scikit-Learn, Apache Spark
  • SQL and handling Big Data, databases
  • Excellent knowledge of Python Programming, NumPy, Pandas, and processing JSON, XML, CSV files

Non-Technical

  • Good communication & analytical skills
  • Self-driven with a strong sense of ownership & urgency

Preferred Qualifications

  • Knowledge of Analytical/OLAP/Columnar, Hadoop ecosystem and NoSQL databases
  • Deep Learning, GANs, Reinforcement Learning
  • R programming, Matlab
  • Knowledge of life sciences or pharmaceutical industry datasets

Additional Information

Competitive compensation, bonus and equity

Employee benefits include:

  • Medical, Dental and Vision plan
  • Uncapped paid time off
  • Paid holidays
  • 401K and Roth retirement plans
  • FSA plan

Apply Now

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