Associate - ML engineer (Data Ops) - Pyxis

<BR> <BR> <BR> <BR> <BR> <BR><BR><BR><BR>About us<BR><BR>Bain & Company is a global management consulting that helps the worlds most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.<BR><BR>In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.<BR><BR><BR><BR><BR>Who you will work with<BR><BR>Pyxis leverages a broad portfolio of 50+ alternative datasets to provide real-time market intelligence and customer insights through a unique business model that enables us to provide our clients with competitive intelligence unrivaled in the market today. We provide insights and data via custom one-time projects or ongoing subscriptions to data feeds and visualization tools. We also offer custom data and analytics projects to suit our clients needs. Pyxis can help teams answer core questions about market dynamics, products, customer behavior, and ad spending on Amazon with a focus on providing our data and insights to clients in the way that best suits their needs. We augment our datasets with best in class machine learning and AI. Refer to: (link removed)<BR><BR>The role will be to support the Data Science and Data Operations organizations through maintenance and improvement of our ML architecture and BAU (Business as Usual deliveries<BR><BR><BR><BR><BR>About you<BR><BR><BR>Bachelors or Masters degree in Computer Science or related field<BR><BR>2-4 years of data analysis experience<BR><BR>High level of proficiency in SQL for data analysis including experience with basic regex expressions<BR><BR>Intermediate Python experience, familiarity with GitHub and software development principles<BR><BR>Proficiency in summarizing analysis and making key business recommendations using data<BR><BR>Familiar with foundational data science concepts<BR><BR>Basic familiarity with common machine learning topics, NLP knowledge will be preferred<BR><BR>Experience working in continuous improvement environment, using data to define processes that continually enhance models and data quality<BR><BR>Experience preferred working with consumer panel and/or market measurement data<BR><BR>Have experience in role of client facing Business analyst<BR><BR><BR><BR><BR><BR>What youll do<BR><BR><BR>Execution/Maintenance of Data Science modeled outputs for client delivery<BR><BR>Automation and improvement of ML architecture to improve data pipelines<BR><BR>Contribute to our machine learning codebase to democratize ML capabilities throughout Pyxis<BR><BR>Diagnose and recommend action based on data for issues in our delivery pipelines (Statistical analysis)<BR><BR>Manually review ML output to improve training dataset<BR><BR>Mentoring and guiding junior team members for manual review of output<BR><BR><BR><BR><BR><BR>What makes us a great place to work<BR><BR>We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoors Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.<BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR><BR> <BR> <BR> <BR>