Senior Data Scientist

The Role

You will bring an exceptional academic background in a technical field combined with experience in developing and applying data science methods in a commercial context. You share our curiosity for new methods and technologies and our enthusiasm for data science challenges. You are able to communicate complex analytics concepts in a clear and concise manner to business leaders.


In this role, you will:

  • You’ll need some proficient qualifications such as a BS in Mathematics, Economics, or Computer Science and as you’ll be dealing with computer software and excel spreadsheets, a competent knowledge of computers is an absolute necessity.


Qualifications and Skills

  • Deep and passionate knowledge of software engineering principles, practices
  • Proven knowledge of object-oriented programming e.g. Scala, Java, C++ etc.
  • Knowledge of at least one scripting language e.g. Python, Perl, R etc.
  • Deep knowledge of testing frameworks and libraries
  • Good knowledge of database management languages e.g. SQL, PostgreSQL
  • Knowledge of statistics, machine learning and data analytics techniques
  • Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is desirable but not essential
  • Commercial application of data science work is desired but not essential
DataSpartan is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.