Senior Data Scientist: Drive Product & Growth Insights

Market America Inc

Greensboro (NC)

On-site

USD 120,000 - 180,000

Full time

14 days+
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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

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.

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