A Santa Monica-based tech company, EZ Texting's voice and text marketing SaaS platform is revolutionizing how businesses communicate. We are passionate dreamers who believe that technology can make a meaningful difference to an organization's success. Located in the heart of Santa Monica, we've created a unique work-space that the Los Angeles Business Journal has named one of the Top 100 places to work in LA - for the last six years running. Come find out why!

The Data Scientist intern will be responsible for leveraging data analytics, visualization and data science to understand customer behavior across millions of text message campaigns across the EZ Texting and CallFire platforms and draw out opportunities to drive growth, customer engagement, new product features and customer retention. You will conceive analytic plans encompassing descriptive and predictive analytics to draw out stories from the data, to help the company make informed choices that influence products and our relationship with our customers. To achieve these objectives, this individual will mine data and apply machine learning techniques, using languages such as SQL, Python, and R. This role will work cross-functionally with BI, Engineering, IT OPS, Marketing and the Product team.

Primary Responsibilities:

• Assess data quality and recommend strategies for making data optimal for advanced analytics and machine learning (wrangling)

• Apply supervised and unsupervised machine learning techniques, such as linear and logistic regression, decision trees, and k-means clustering.

• Develop analyses segmentation, propensity models and behavioral clustering

• Synthesize analytics and statistical approaches into easy-to-consume storylines, both visually and verbally, and provide indicated actions for executive audiences.

• Capture business requirements for data and analytic solutions and collaborate with the cross functional team to ensure business requirements align with business needs.

Required Qualifications:

• BA/BS in statistics, mathematics, economics, industrial engineering or other quantitative discipline.

• 1-3 years of experience building data science models (Regression, Decision Trees, K-Means, etc.).

• Experience with large data sets and analytical tools.

• Proficiency in scripting languages (SQL, Python, R, etc.).

• Knowledge of a dashboarding language (Tableau, Power BI, etc.) or equivalent report building experience

• Other desired qualifications: - Strong curiosity, leadership and business acumen.

• Passionate about using data to drive strategy and product recommendations.

• Experience in subscription-based businesses or eCommerce preferred

• Strong interpersonal skills with the ability to motivate, collaborate and influence.

• Ability to adapt rapidly in a fast-moving environment with shifting priorities and the ability to react quickly, dynamically, and intelligently.

• Ability to effectively influence and communicate cross-functionally with all levels; exceptional verbal and written communication skills.

• Strong presentation skills are a plus

*This role is a part-time internship and does not include health benefits.