Associate Data Scientist

We are looking for an Associate Data Scientist to join our Data Science Practice. Send in your resume to careers@aretove.com

Department: Engineering
Project Location(s): US

Responsibilities

  • Work with multiple cross-functional teams with the primary responsibility of developing predictive modeling and statistical analysis techniques.
  • Extract meaningful business trends/patterns, insights from data and identify the stories and patterns.
  • Validate the models/algorithms in terms of their applicability and effectiveness in solving the underlying business problems.
  • Apply data science techniques, including machine learning, statistical modeling, measure and improve results and present final result to stakeholders.
  • Develop scalable, efficient, automated solutions for large-scale data analyses, model development, model validation and model implementation.
  • Collaborate effectively with other technology teams and architects to solve complex problems spanning their respective areas.

Skills

  • Bachelors degree with minimum 2+ years of experience in building data science models.
  • 2+ years of data mining, quantitative analysis, and/or statistical modeling.
  • Experience with Python and/or R.
  • Experience with Data Science Tools like Amazon SageMaker, Jupyter Notebooks,  Pandas and Data Visualization Tools.
  • 2+ years of experience with classification, regression, clustering and anomaly detection algorithms.
  • Self starter, quick learner and able to work independently.

Benefits we offer:

Comprehensive health benefits, including health, vision, and dental care to suit your needs.

2 weeks PTO.

Flexible work timings.

Team outings and company sponsored events.

An intelligent, experienced, and diverse leadership team that is open to new ideas.

Collaborative, fast-paced, data driven culture.

A fun, creative and mission-driven work environment with opportunities for development, both personally and professionally.

How Can We Help You?

Contact us at info@aretove.com to see how we can help you accelerate your Data & Applied AI related initiatives.

Interested in this job?