Senior Data Scientist

Jobgether • United State
Remote
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AI Summary

Jobgether is seeking a Senior Data Scientist to leverage advanced analytics and machine learning approaches to tackle complex challenges. The role involves developing innovative data solutions, engaging with clients, and collaborating with cross-functional teams.

Key Highlights
Develop and deploy efficient data pipelines
Lead machine learning projects from conception to production
Collaborate with cross-functional teams to optimize solutions
Key Responsibilities
Engage with clients to understand business needs
Develop and deploy efficient data pipelines
Lead machine learning projects from conception to production
Technical Skills Required
Python Databricks Apache Spark Azure AWS GCP Scala C++ R Docker Airflow
Benefits & Perks
Unlimited vacation policy
Competitive compensation package
401k contributions

Job Description


This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist - REMOTE. This role involves leveraging advanced analytics and machine learning approaches to tackle complex challenges faced by various organizations. As part of a talented team, you will be responsible for developing innovative data solutions while engaging with clients to ensure their needs are met. This remote position allows you to work from anywhere while contributing to impactful projects. Collaboration with fellow experts in the field will be essential, as you design and deploy state-of-the-art data-driven strategies. If you are passionate about data science and have a problem-solving mindset, we want to hear from you.

Accountabilities

  • Engage with clients to understand business needs and translate them into technical solutions.
  • Develop and deploy efficient data pipelines for diverse data sources.
  • Lead machine learning projects from conception to production in cloud environments.
  • Collaborate with cross-functional teams to optimize solutions and drive innovation.
  • Productionize machine learning research and enhance existing models.
  • Develop APIs to serve machine learning models effectively.
  • Continuously learn and apply new technologies in machine learning and AI.

Requirements

  • 5+ years of experience in data science and machine learning.
  • Proficient in Python; experience with Scala/C++/R is a plus.
  • Strong background in Databricks and Apache Spark.
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Solid understanding of software engineering principles and best practices.
  • Familiarity with containerization and orchestration technologies, specifically Docker and Airflow.
  • Excellent communication skills for client-facing engagement.

Benefits

  • Unlimited vacation policy for work-life balance.
  • Competitive compensation package with performance rewards.
  • 401k contributions to help secure your financial future.
  • Opportunities for continuous professional development and training.
  • A collaborative and inclusive remote work culture.
  • Access to a talented network of professionals and thought leaders.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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