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 DescriptionLooking 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
Qualifications
· Bachelor's degree or equivalent experience in quantative 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
· Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have.
· Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks)
Additional InformationResponsibilities
· 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
tion will be kept confidential according to EEO guidelines.
Skills Required
- Bachelor's degree or equivalent experience in quantitative field
- At least 2 years' of experience in quantitative analytics or data modeling
- Fluency in Python and SQL
- Some understanding of predictive modeling and machine-learning techniques
- Familiarity with data science frameworks and visualization tools
What We Do
We create disruptive solutions so you innovate faster. Ubertal was created in 2011 in Silicon Valley with the initial objective of helping high growth software companies solve their toughest business challenges. Through this process we’ve identified common challenges faced by companies and have developed our own software solutions (IP) and co-created solutions (joint IP) with our clients. We create disruptive solutions so our clients innovate faster. We leverage our deep roots in Silicon Valley to develop or curate cutting edge technologies to assure that they stay ahead of the competition. Ubertal is your innovation partner. Whether you are wondering how to leverage machine learning for your data, or the impact of blockchain on your business, we are here to take you to the next level. If there is a solution out there, we will find it. If there is no solution, we will work with you to create it.
