Data Scientist

Gainesville, FL

Job Description

SharpSpring is seeking a talented Data Scientist to join our data team in Gainesville, FL. Our Data Scientist will be responsible for the processes and concepts used inside our data warehouse and should possess knowledge of data analysis, algorithms, schema design, querying, and machine learning. This role represents an opportunity to directly shape a newly created data team, bring fresh ideas to the table regarding our long-term data strategy, and present recommendations for the benefit of the whole business.

As a key member of our data team, you’ll work across departments to assist with the data mining, analysis, and interpretation of business intelligence data as it relates to the adoption of our flagship SaaS platform. You’ll also work alongside our development team to provide centralized access to data we use for real-time reporting inside of our application.

We are a group of individuals who are passionate about technology and working to provide the best service possible to our customers using the most innovative solutions. SharpSpring provides excellent benefits and an engaging workplace with talented, friendly coworkers.

Responsibilities

  • Use scientific methods to work alongside other departments such as finance, customer success, and marketing to understand trends and key performance indicators affecting the health of our business.
  • Work within Google BigQuery and SQL on large, complex data sets to solve difficult problems.
  • Clearly present data, recommendations, and concepts to multiple levels of stakeholders including executives.
  • Improve the SharpSpring application by creating solutions for problems involving machine learning, reporting, and business-critical questions.
  • Assist our product and development teams with data needs as they relate to our product development.
  • Develop an understanding of our data and metrics for the purposes of informing our product and engineering teams.

The Person

  • Degree in Computer Sciences, Mathematics, Statistics, or a similar discipline.
  • Possesses foundational knowledge of common machine learning algorithms (linear regression, logistic regression, decision tree, SVM, naive bayes, kNN, K-Means, random forest, neural network) and a strong understanding of how to apply these algorithms to real-world business problems.
  • Strong familiarity with industry standard ML toolsets and their applications (scikit, tensorflow, keras, etc).
  • 2+ years of professional, industry experience as a software engineer or in a data analysis field of work. Our ideal candidate would have a more extensive work history in related fields.
  • Expert in a programming language such as Python or Golang, and their respective standard data processing libraries.
  • Applied experience with machine learning on large datasets
  • Demonstrated ability to articulate business questions and translating results into recommendations for stakeholders.
  • Strong working knowledge of relational databases and SQL.
  • Knowledge of Google BigQuery is a big plus.
  • Strong background in statistical modeling methods.
  • A history of possessing business acumen, customer empathy, leadership, and a team player attitude.
  • Self-starter with the ability to work independently, take initiative, and learn new skills.
Find out what Its like to work at Sharpspring