Job Description

Description

We are seeking a Senior Data Scientist with demonstrated expertise in Python and SQL to join our remote team.

The Senior Data Scientist will play a pivotal role in pinpointing business-centric issues, analyzing data, developing and validating models, and communicating results effectively.

The incumbent's individual efforts will substantially guide the execution of data-centric decisions within our organization.

We encourage you to utilize your skills to make an impact. Apply today!


Responsibilities

  • Pinpointing and resolving business issues through data analysis and modeling
  • Conducting effective data interpretations using Python and SQL
  • Developing and validating analytical models for diverse applications including Deep Learning, AI, and Time Series Forecasting
  • Presenting findings and insights in a clear and informative manner
  • Collaborating with cross-functional teams to encourage data-driven decision-making
  • Regularly updating knowledge base with the latest advancements in Data Science and ML modeling
  • Assisting in the creation of Data Science solutions
  • Utilizing data visualization techniques for effective communication of insights
  • Implementing NLP and text mining techniques for insightful results
  • Providing leadership and mentorship to junior data science professionals
  • Requirements

  • A minimum of 3 years experience in Python and SQL for data analysis and modeling
  • A solid foundation in data-oriented applied mathematics, including statistical analysis and machine learning
  • A robust approach to modeling and algorithms, such as Boosting Algorithms
  • Proficiency in data analysis tools and libraries such as NumPy, SciPy, Scikit-learn, pandas, and matplotlib
  • Extensive experience in ML Modeling for Deep Learning, AI, and Time Series Forecasting
  • Proficiency in at least one of the major Cloud providers (AWS, GCP, or Azure)
  • Familiarity with the production of Data Science solutions
  • Strong data visualization skills
  • Experience with NLP and text mining
  • A problem-solving mindset
  • Effective communication and presentation skills, with proficiency in English
  • Nice to have

  • Experience with MLOps solutions such as SageMaker, Vertex, or Azure ML
  • Familiarity with Big Data solutions, particularly Spark/PySpark
  • We offer

  • Learning Culture - We want you to be the best version of yourself, that is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally
  • Health Coverage - Health and wellness are important, that is why we have you and up to four family members in a premiere health plan. We have a couple of options, so you can choose what is best for you and your family
  • Visual Benefit - Seeing your work for us would be a sight for sore eyes. We want your vision to always be at % which is why we offer up to $. COP for any visual health expenses
  • Life Insurance Plan - We have partnered with MetLife to offer a full-coverage Ife insurance plan. So, your family is covered, even if you are gone
  • Medical Leave Coverage - We are one of the few companies that cover % of your medical leave, for up to 90 days. Your health is the most important thing to us
  • Professional Growth Opportunities - We have designed a highly competitive and complete development process, where you will have all the tools to get where you have always wanted to be, personally and professionally
  • Stock Option Purchase Plan - As an EPAMer you can be more than just an employee, you will also have the opportunity to purchase stock at a reduced price and become a part owner of our organization
  • Additional Income - Besides your regular salary, you will also have the chance to earn extra income by referring talent, being a technical interviewer, and many more ways
  • Community Benefit - You will be part of a worldwide community of over 50, employees, where you can learn, challenge yourself, stand out, and share your knowledge and experience with multicultural teams!
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