Description

Job Description People are everything here at BLEND360. We are inspired by advancing our Client’s most critical initiatives, products and projects by matching our clients with the right talent. BLEND360 has been among the Inc. 5000 fastest growing companies 8 years in a row, and we’re very proud of our World Class NPS score. Our success is a direct result of our passion for advancing the careers of the talented people we work with every day. When you work at BLEND360, you will: Collaborate with a smart, passionate group of people who are invested in your success. You will work as part of our global Data Science team to provide data driven solutions for our customers using state-of-the-art methods and tools. Partner with an impressive list of clients, who value Blend360’s services and the world class experience we deliver with every engagement. Thrive with a company and leadership team who are committed to growth. We spend the majority of our time on getting data into proper shape, performing statistical analyses, developing predictive models and machine learning algorithms to solve clients’ business problems. We evaluate different sources of data, discover patterns hidden within raw data, create insightful variables, and develop competing models with different machine learning algorithms. We validate and cross-validate our recommendations to make sure our recommendations will perform well over time.

Role and Responsibilities

• Main Responsibilities The role will also include significant consulting / client facing work comprised of: Working with practice leaders and clients to understand clients’ business problem, industry context, data sources, potential risk and constraints. Problem solve with practice leaders to translate the business program into a solvable Data Science problem, formulate different approaches, outline pros and cons for each approach Work with practice leaders to get client feedback, get alignment on approaches, deliverables, and overall timeline Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings Create insightful and/or predictive summary variables from granular-level data Develop, validate, and cross-validate predictive models and/or machine learning algorithms using Advanced Data Science techniques and tools Document predictive models / machine learning results that can be incorporated into client-deliverable documentation Document key insights, recommend actions client could take, and quantify business impact Assist client in turning models and algorithms into implementable production codes