

Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown", offering a pay rate of "$XX/hour". Required skills include R, Python, SQL, and experience in supervised/unsupervised learning. A Bachelor's degree in a relevant field and 4-6 years of experience are essential.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 26, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Dallas, TX
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π§ - Skills detailed
#Data Pipeline #Data Science #Statistics #Microsoft Power BI #Programming #R #Tableau #NLP (Natural Language Processing) #Java #SQL (Structured Query Language) #Computer Science #Mathematics #Classification #Supervised Learning #ML (Machine Learning) #Forecasting #Python #Scripting #Scala #Visualization #Streamlit #BI (Business Intelligence) #Regression #Unsupervised Learning
Role description
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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
β’ Proven functional experience in generating quick and sturdy business insights using standard tools and frameworks, potentially across various tech stacks including Open Source
β’ Work closely with Data and Software Engineers to provide robust and sustainable Business Intelligence
β’ Visual thinking of outputs, as Tableau/ Power BI/ Streamlit, etc dashboards. Crispness in communicating the outputs is necessary
β’ 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
β’ Dependable hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data optimally
β’ Demonstrable experience in Supervised and Unsupervised learning β from Regression, Forecasting, Classification, to NLP, Decision and Search Algorithms
What you'll need
β’ 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
β’ Wrapping data insights into narratives and visualizations are great-to-haves. Familiarity with Interpretable/ Explainable Machine Learning and Causal Inference is nice to have.
β’ 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.
β’ Bachelor's degree (BA/BS) in disciplines such as Mathematics (Pure/ Applied), Statistics, Computer Science/ Engineering, Information Systems or any other Scientific discipline β 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.