Senior Data Scientist - AI/NLP Focus (Remote)
About the Role
Join Semrush as a Senior Data Scientist (Remote) and be part of a dynamic team focused on leveraging AI and NLP technologies to enhance digital marketing solutions. This role offers a unique opportunity to work with internal datasets and Semrush products to create impactful datasets and conduct experiments that improve our tools.
What You'll Do
- Utilize internal datasets and Semrush products to create and test datasets, assessing their impact on our tools.
- Evaluate the quality of generated text to ensure it meets user needs effectively.
- Collaborate with product and engineering teams to implement AI-driven solutions.
- Deploy and maintain LLM-based systems in production environments.
- Monitor ML systems using tools like Grafana, Prometheus, and Alertmanager.
Requirements
- 5+ years of experience as a Data Scientist or Machine Learning Engineer.
- Strong understanding of machine learning algorithms, statistics, and linear algebra.
- High proficiency in Python and familiarity with ML stacks.
- Experience with SQL and deploying ML systems.
- Knowledge of Google Cloud Platform and Vertex AI is a plus.
Nice to Have
- Practical knowledge of RAG and building AI agents.
- Experience with GitLab CI and batch/real-time processing.
What We Offer
- Flexible working hours and unlimited PTO.
- Employee support programs and financial aid for loss of family members.
- Corporate events, team-building activities, and training opportunities.
- A supportive and inclusive work environment.
- Access to meals, snacks, and drinks at the office.
This Senior Data Scientist role at Semrush offers a unique opportunity to work remotely while leveraging AI and NLP technologies in a supportive environment.
Who Will Succeed Here
Proficient in Python and experienced with libraries such as TensorFlow or PyTorch to develop and deploy machine learning models, particularly in the realm of natural language processing (NLP).
Self-motivated and disciplined to excel in a remote work environment, demonstrating proactive communication skills and a strong ability to manage time effectively across multiple projects.
Strong analytical mindset with a proven track record of leveraging SQL for data extraction and manipulation, along with experience using Google Cloud Platform for deploying scalable machine learning solutions.
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