Data Scientist Internship
Remote
NeuroID
Combine the power of industry-leading behavioral analytics with advanced device and network intelligence with NeuroID. Secure your entire user lifecycle, stopping everything from ID theft to ATO fraud from the very first interaction.*Please note this is an unpaid position and fully remote.
Neuro-ID’s technology reveals previously undetectable insight around each digital interaction, extracting meaningful behavior in real time. This enhanced visibility illuminates new ways to improve user experiences, streamline internal processes, and enhance data-driven decisioning throughout the customer journey, leading to measurable bottom-line impact. We are committed to changing the course of the digital world by transforming and optimizing the customer experience and risk assessment with a new window of visibility never seen before. Neuro-ID’s Friction Index Platform unlocks a refreshing and powerful layer of actionable insight into the intent and experience of every customer or prospect, creating a new paradigm of seeing and understanding behavior in real time.
We are looking to bring on a Data Scientist Intern to join our team, and work on analysis and modeling. This person will be instrumental in researching and developing ML learning models and technology to power Neuro-ID products and work on data analysis and visualization.
- The position is and unpaid internship with potential to turn into full-time including a salary and benefits
- This is an 8 week position
Requirements
- Broad thinker with the ability to synthesize information from various sources and apply that information to concrete business problems
- Strong decision-making skills
- Solid skills and training in predictive modeling, data mining and other quantitative and research analytics (Multivariate Analysis, Bayesian Methods, Generalized Linear Models, Non-Linear Models, Decision Trees, Non- Parametric estimation, Machine learning techniques etc.)
- Strong programming ability in Python, SAS, SQL, R or other programming languages and proficiency in scripting languages and ability to build code and algorithms to tackle statistical problems
- Excellent written and oral communication and presentation skills
- Self-starter, critical thinking and strong individual contributor
- Familiar with Python (pandas, numpy, scikit-learn etc) and SQL, experience with Snowflake and/or Looker is a plus
- Ability to adapt to a fast paced and flexible work environment
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bayesian Data analysis Data Mining Looker Machine Learning NumPy Pandas Predictive modeling Python R Research SAS Scikit-learn Snowflake SQL Statistics
Perks/benefits: Career development
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