Skip navigation EPAM

Senior Data Scientist Remote

  • hot

Senior Data Scientist Description

We are looking for an experienced Senior Data Scientist to join our remote team and work on an exciting new project that involves identifying business problems, finding the right data and methods to address them, building and validating analytical models, and presenting findings in a clear and informative way.

You will be responsible for developing and implementing data-driven solutions that drive business value. As a Senior Data Scientist, you will use your expertise in Python, SQL, and data science libraries such as SciPy, Tensorflow, PyTorch, Keras, Spacy, HuggingFace, and Transformers to build and deploy complex machine learning models for deep learning, AI, time series forecasting, NLP, and more. You will also have exposure to cloud services like AWS, GCP, or Azure.

#LI-AP13#EasyApply

Responsibilities

  • Identify business problems and provide data-driven solutions that drive business value
  • Use your expertise in Python, SQL, and data science libraries to build and deploy complex machine learning models for deep learning, AI, time series forecasting, NLP, and more
  • Collect, clean, and transform raw data into usable formats for analysis and modeling
  • Develop and maintain data pipelines and workflows for efficient data processing and analysis
  • Collaborate with cross-functional teams to deliver high-quality data science solutions that meet business needs
  • Present findings and insights to stakeholders in a clear and informative way

Requirements

  • Bachelor's or Master's degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline
  • At least 3 years of experience in data science, machine learning, and statistical modeling
  • Strong proficiency in Python and SQL for data manipulation and analysis
  • Strong knowledge of data science libraries such as SciPy, TensorFlow, PyTorch, Keras, Spacy, HuggingFace, and Transformers
  • Strong experience in ML Modeling for Deep Learning, AI, Time Series Forecasting, NLP, and similar techniques
  • Experience with cloud services like AWS, GCP, or Azure
  • Excellent communication skills in English at a B2 level or higher

Nice to have

  • MLOps solution exposure: SageMaker, Vertex, Azure ML, and similar tools
  • Exposure to Big Data Solutions namely 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 100% which is why we offer up to $200.000 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 100% 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 50,000 employees, where you can learn, challenge yourself, stand out, and share your knowledge and experience with multicultural teams!

Witaj. W czym możemy pomóc?

NASZE LOKALIZACJE