Data Scientist - 35705

Turing; Dallas (TX); On-site; USD 80,000 - 100,000; Full time

Job summary

A technology company in Dallas is seeking a Mid-Senior Business Intelligence Analyst. In this role, you will generate insights using various tools and work closely with engineers. The ideal candidate has significant experience in R, Python, SQL, and data visualization. This full-time position requires a strong analytical background and the ability to communicate insights effectively.

Qualifications

• 4-6 years of experience in creating data-driven products and productionizing ML models.
• Familiar with frameworks/tools for reproducible insights.
• Experience in Supervised and Unsupervised learning.

Responsibilities

• Generate business insights using various tech stacks.
• Work with Data and Software Engineers for Business Intelligence.
• Create visual dashboards and communicate findings.

Skills

R programming

Python

SQL

Data Visualization

Machine Learning

Education

Bachelor's degree in Mathematics, Statistics, Computer Science or related field

Tools

Tableau

Power BI

Streamlit

Job description

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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology and Engineering

Industries

• Technology, Information and Internet and Software Development