Data Scientist

Job Title: Data Scientist

Location: Dallas, TX (Onsite)

Duration : Long-Term

Interview Mode : Video and In-Person

Need Local Consultants Only

Face to Face Interview

Job Description :

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, 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.