We are actively hiring for Data Scientist
Full time or Contract
Onsite - Dallas TX (5 days a week)
Need Local candidates to Dallas
Final round will be inperson
-
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
-
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.
-
Bachelors 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.
We are actively hiring for Data Scientist Full time or Contract Onsite - Dallas TX (5 days a week) Need Local candidates to Dallas Final round will be inperson Proven functional experience in generating quick and sturdy business insights using standard tools and frameworks potentially acro...
We are actively hiring for Data Scientist
Full time or Contract
Onsite - Dallas TX (5 days a week)
Need Local candidates to Dallas
Final round will be inperson
-
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
-
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.
-
Bachelors 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.
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