Sr Data Scientist

Overview

On Site
$60+
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6 Month(s)
Able to Provide Sponsorship

Skills

Algorithms
Analytical Skill
Dependability
Microsoft Power BI
Natural Language Processing
Julia
Business Intelligence
Management
Dashboard
R
Data Science
SQL
Forecasting
Machine Learning (ML)
Spectrum
Microsoft Excel
Unsupervised Learning
Python
Java
Collaboration
Regression Analysis
Scala
Sourcing
Scripting
Analytics
Stacks Blockchain
Tableau

Job Details

C2C Need Local to Dallas TX and F2F interview required

Please share Profiles at

Hi,

Urgent need,

Role - Sr Data Scientist for Data COE

Location - Dallas, TX

F2F interview required

Skills - Data Science, ML Models, Regression, Forecasting, Classification, to NLP, Decision and Search Algorithms

Note : Candidates should be local to Dallas, TX

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 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.

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

Thanks and regards

Shaik Wazeed

Sureminds Solutions

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Sureminds Solutions