Senior Data Scientist

Market America Inc; Greensboro (NC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Short-term disability insurance

401(k) retirement plan with company 


Job summary

Market America Inc in Greensboro, NC is seeking a Senior Data Scientist to support product, engineering, leadership and marketing teams with insights from company data. You will build models, apply ML and statistical techniques, and drive business outcomes through data-driven decisions.

The role requires 5-7 years of data science experience, advanced degrees, and proficiency with R, Python, SQL, and distributed computing tools.

Qualifications

• 5-7 years experience manipulating data sets and building statistical models.
• Master’s degree or PhD in Statistics, Mathematics, Computer Science or a quantitative field.
• Experience with R, Python and SQL; familiarity with analytics tools.
• Experience with ML algorithms and data architectures; ability to interpret results.

Responsibilities

• Work with stakeholders to identify opportunities for leveraging data to drive business solutions.
• Mine and analyze data to optimize product development, marketing techniques and strategies.
• Develop custom data models and algorithms for large data sets.
• Use predictive modeling to improve customer experiences and revenue.
• Collaborate with cross-functional teams to implement models and monitor performance.

Skills

Statistical analysis

ML techniques

Programming languages

Data modeling

Communication skills

Education

Master's degree

PhD

Tools

R

Python

SQL

Hadoop

Spark

Hive

Map/Reduce

Google Analytics

Adobe Analytics

Job description

Career Opportunities with Market America Inc

Careers At Market America Inc

Share with friends or Subscribe!

Current job opportunities are posted here as they become available.

Market America is seeking a Senior Data Scientist supporting our product, engineering, leadership and marketing teams with insights gained from analyzing company data.

In this role you will be adept at using large data sets to find opportunities for product and process optimization. You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. Have a proven ability to drive business results with your data-based insights. You should be comfortable working with a wide range of stakeholders and functional teams. The ideal candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

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
• and a 401(k) retirement plan with company match