Data Scientist

http:/www.ubertal.com; Orlando (FL); On-site; USD 70,000 - 100,000; Full time

Job summary

UberTal in Orlando, Florida, is seeking a Data Scientist with expertise in advanced statistics and machine learning algorithms. The role involves data analysis, designing prediction algorithms, and collaboration with engineering teams to drive business improvements.

The ideal candidate should have a Bachelor's degree in a quantitative field and at least 2 years of experience in data analytics. Python and SQL skills are essential, along with familiarity with data science frameworks and visualization tools.

Qualifications

• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering).
• At least 2 years of experience in quantitative analytics or data modeling.
• Understanding of predictive modeling and machine-learning techniques.

Responsibilities

• Analyze raw data: assessing quality, cleansing, structuring.
• Design accurate and scalable prediction algorithms.
• Collaborate with engineering team to bring analytical prototypes to production.
• Generate actionable insights for business improvements.

Skills

Data Science

Machine Learning

Python

SQL

Data Mining

Statistics

Education

Bachelor's degree in quantitative field

Tools

Pandas

Matplotlib

Scikit-learn

PostgreSQL

Job description

We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place.

Job Description

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Qualifications

• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 2 years' of experience in quantitative analytics or data modeling
• Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks)

Additional Information

Responsibilities

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements

Job Location