Data Scientist

Dice is the leading career destination for tech experts at every stage of their careers. Our client, 47Billion, is seeking the following. Apply via Dice today! Role: Sr Data Scientist Location: Dallas, TX Duration: Contract / Full Time Job Description : Senior Data Scientist, based out of our Richardson, Texas campus. S/he would be one of the torchbearers of Data-inspired work across clients and will help shape Data Science/Analytics for the People function, among others. As one of the founding companies in Commercial Real Estate (CRE), Client is the world s largest company spanning the spectrum of Real Estate services. The CoE was established to help differentiate with Data and promote and productionize Data-inspired products/projects. Essentially looking for an Analytic mind, to strategically create and drive not just insights sought by Business but think/act beyond the mere essentials. Intuitive understanding of ML Algorithms and faith in their application is needed. We use a programming-language-agnostic ML workspace to version/deliver code. What you'll do • Proven functional experience in generating quick and sturdy business insights using standard tools and frameworks, potentially across various tech stacks including Open Source • Work closely with Data and Software Engineers to provide robust and sustainable Business Intelligence • Visual thinking of outputs, such as Tableau/ Power BI/ Streamlit, etc dashboards. Crispness in communicating the outputs is necessary • Strong coding skills in R and Python; and scripting in SQL and MS Excel. Any other relevant programming language skills like Java, Scala, Julia, etc would be gladly welcomed • Dependable hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data optimally • Demonstrable experience in Supervised and Unsupervised learning from Regression, Forecasting, Classification, to NLP, Decision and Search Algorithms What you'll need • Being an Analytics-focused role, this job mandates clear understanding of frameworks/tools to create reproducible and valid insights while slicing and dicing the data for various needs across the business lines • Wrapping data insights into narratives and visualizations are great-to-haves. Familiarity with Interpretable/ Explainable Machine Learning and Causal Inference is nice to have. • Must have anywhere between 4-6 years of impactful experience in creating Data-driven products and productionizing ML models, while being mindful of Data pipelines. • Bachelor's degree (BA/BS) in disciplines such as Mathematics (Pure/ Applied), Statistics, Computer Science/ Engineering, Information Systems or any other Scientific discipline along with relevant experience. Or a Masters/ PhD with lesser, but applicable, experience is ideal. Nonetheless, an Analytic conviction in all the outputs is naturally essential.