Lead Machine Learning Engineer/ Data Scientist (USA)

Company: whiz.ai
Location: Somerset, New Jersey, United States
Type: Full-time
Posted: 13.AUG.2021
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Company DescriptionWhizAI is the first and only purpose-built cognitive insights platform for life sciences, empowering users to get answers...


Company DescriptionWhizAI is the first and only purpose-built cognitive insights platform for life sciences, empowering users to get answers to their business questions by simply asking via voice or text on web and mobile. WhizAI is pre-trained on life sciences data and business terminologies, enabling it to answer even the most complex questions from billions of records in seconds. Fast, easy, and scalable, WhizAI is the trusted partner of choice at the top global life sciences companies. Asked. Answered. Instantly.We are on a mission to make enterprise analytics as easy and delightful as using your favorite app. The days of tedious dashboards, long training hours, and complex analytics software are over. Our platform is disrupting the $190B+ analytics market industry by making it 100X faster and easier for all business users to simply talk to their data and get insights, based on the innovations in NLP, AI, ML and enterprise software. We are the future of business intelligence and if you too want to put innovation and user experience for business users above all else, this role is for you.Job DescriptionOut 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 stakeholdersAnalyze and verify data quality and featuresDesign solutions by choosing the right algorithms, features, and hyper parametersManage the full life cycle of ML Models: Data Acquisition, Feature Engineering, Model Development, Training, Verification, Optimization, Deployment, VersioningAugment Enterprise data with publicly available datasets to enrich models & featuresCreate 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 systemsNeed unrestricted right to work in the United StatesQualificationsTechnical 10+ years of software development experience, with 5+ years of experience in implementing machine learning modelsMachine Learning-based models: ANN, SVM, Logistic Regression, Gradient BoostingStatistical Modeling with ARIMA, STL, Exponential smoothingTime Series Anomaly Detections Methods, Hierarchical or Grouped Time Series ForecastingUnderstanding of ML & Data processing frameworks like TensorFlow or PyTorch, XGBoost, SciPy, Scikit-Learn, Apache SparkSQL and handling Big Data, databasesExcellent knowledge of Python Programming, NumPy, Pandas, and processing JSON, XML, CSV filesNon-TechnicalGood communication & analytical skillsSelf-driven with a strong sense of ownership & urgencyPreferred QualificationsKnowledge of Analytical/OLAP/Columnar, Hadoop ecosystem and NoSQL databasesDeep Learning, GANs, Reinforcement LearningR programming, MatlabKnowledge of life sciences or pharmaceutical industry datasetsAdditional InformationCompensation: Competitive and commensurate with experience. whiz.ai offers a base salary, a bonus plan, and equity.Benefits: Health care and paid time off.

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