Senior Data Scientist (Databricks / MLflow)

Who we are:SkyPoint’s mission is to bring people and data together. At SkyPoint Cloud, we are passionate about helping data teams solve the world's toughest problems — from value-based care analytics in healthcare to revenue operations in hospitality industry. We do this by building and running the world's best unified data and AI industry SaaS platform so our customers can use deep data insights to improve their business.Location: Global Technology Park, Bellandur, Bangalore, India (in-person office role, no remote or hybrid)Here is what you can expect to work on in this critical role:- Partners with product management to understand business problems and translate them into identifiable machine learning problems which can be delivered as machine learning solutions- Coordinate with product and customer teams to monitor outcomes and refine/ improve the machine learning models- Work across the spectrum of ML modeling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem- Collaborate & share best practices with data and software engineers to enable consistent deployment of high-quality models that will scale across SkyPoint platform and its customers.- Own the code review process to ensure stringent coding guidelines are met by other data scientists & data engineers- Mentor & lead data engineers in choosing the right machine learning approach/models- Lead data mining and collection procedures for all business use cases and guarantee data quality and integrity- Utilize data visualization tools to deliver insights to product managers and present technical solutions to a non-technical audience in a simple and clear manner- Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, Markdown) Skills & Experience Required:- 5+ years of industry experience as a Data Scientist, ideally in a SaaS product company - Experience with the use of a wide array of algorithms and data structures.- Excellent verbal and written communication skills.- Strong technical and problem-solving skills, with recent hands-on experience in Databricks MLflow.- Experience in Databricks/Spark, AutoML, Feature Store, Git, MLflow, MLOps, PySpark, Scikit-learn, TensorFlow, Keras, PyTorch, GPT-3 etc.- Experience working with Python.Educational Level:BS / MS / PhD in Computer Science & Engineering from a Top Tier school (IITs / RECs etc.)\n\nPerks of working with us:· Opportunity to work with a US-based fast-growing healthcare SaaS start-up on Azure cloud.· Competitive total compensation package including equity and performance-based bonus plans.· Industry-focused certifications and ongoing training opportunities.· Flexi work hours plus enjoy the benefit of having your workstation at your home.· Add-On Internet reimbursement within corporate guidelines.· Company happy hours and fun team-building activities.· Meal cards, other incentives, and gift hampers.· Awards and recognition programs.