E-Solutions

Data Scientist

Company : E-Solutions

Location : Farmers Branch, TX, 75229

Job Type : Full Time

Date Posted : 1 May 2026

Data Scientist

Onsite - Dallas, TX (5 days a week)

Need Local candidates to Dallas

4 rounds interview

1st round Vetsmith
2nd Round Technical Discussion (Turing)
3rd round Half an hour technical connect with Client (Zoom)
4th round in person interview at Dallas, TX

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.