Job Description
Market America is seeking a Data Scientist supporting our product, engineering, leadership and marketing teams with insights gained from analyzing company data.
Market America Inc
Monterey, CA
What are the day to day responsibilities?
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
What skills will you need to be successful in this role?
- Strong problem-solving skills with an emphasis on product development.
- Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.
Additional Requirements for the role?
- We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s degree or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
- Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Experience analyzing data from 3rd party providers: Google Analytics, Adobe Analytics
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark
- Experience visualizing/presenting data
We are proud to be an equal opportunity employer and we offer competitive salaries and benefits, including health, dental, vision, life, short and long-term disability insurance, and a 401(k) retirement plan with company match.
- health
- dental
- vision
- life
- short and long-term disability insurance
- a 401(k) retirement plan with company match