Data Science Architect

Location: Onsite in Englewood, CO or Foster City, CA or Bengaluru, India About the Role: Our client is looking for a Lead Data Scientist who will work closely with teams like product, engineering, marketing, operations, and help solve problems using AI/ML algorithms. . Day to Day Responsibilities: Plan: Deeply understand the business requirements and priorities and work with other stakeholders to identify high-impact and feasible roadmap areas for the team from time to time. Execute: Own the deliverables of the team and be in charge of the estimation and planning done by the team making sure that the dependencies are tracked correctly, and results are produced in an efficient and timely manner. Guide: Act as a technical guide to the team helping them in translating the business problems to the most appropriate mix of specific machine learning or data analysis tasks. Also be a mentor to the team members. Facilitate: Be an evangelist of best practices, the right tools and effective collaboration. Proactively create a great working environment where each individual brings out the best they can offer. Communicate: Be the point of contact for the team’s work for the business teams and senior management. Create and deliver effective presentations at various stages of the projects to different audiences involved. Must Have: Overall 15+ years experience in the software industry with 6+ years experience related to Data Science. You have worked on a variety of complex data analysis and modeling problems, gathering a great deal of practical wisdom on how to apply these techniques to real world scenarios. The typical candidate has a Bachelor’s or Master’s degree in Computer Science, Operations Research, Applied Statistics, Rigorous academic or experiential knowledge of the mathematical essentials for Data Science, including key concepts in probability and statistics, optimization, time series analysis, linear algebra and discrete math Sampling and estimation, Bayesian analysis, hypothesis testing, uncertainty estimation, stochastic methods, and graphical methods are particularly important to know You have a wide range of statistical and machine-learning tools under your belt. These include linear models for regression and fication, multi-level models, factor analysis & PCA, discriminant analysis, support vector machine, decision tree ensembles & bootstrap, neural networks, mixture models & clustering algorithms, and so on. Should have strong experience on business problems using data science like customer churn, lifetime value estimation, targeted marketing, personalized offers, etc. And experienced in designing & analyzing controlled experiments for targeted interventions in the field Hands-on experience in handling large and distributed datasets on Hadoop, Spark, Hive, etcc You are proficient in at least one programming language commonly used for data analysis (like R/Python), and you are cozy with SQL. Nice to Have: Masters or Doctorate in relevant domain. Strong academic background in statistics and machine learning. Possess strong data visualization skills using programmatic tools (e.g. ggplot2, shiny, d3.js) and other visualization frameworks like victory, highcharts etc. This will be a strong plus. Knowledgeable on different database and data warehousing systems like MySQL, Amazon Redshift, BigQuery, Teradata Experienced in working with large data sets, with big data processing tools like Spark. Have data engineering skills to do preprocessing, cleaning and transformations.