At Cobra Studio, we are looking for a Senior Data Scientist MLE with 5+ years of experience. The required english level is B2. This is a full-time remote position with compensation in US dollars.
Flexible schedules to have a work-life balance.
All required equipment will be provided.
Dynamic and interesting work with lots of growth opportunities.
Requirements
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
Proven experience as a Data Architect, Machine Learning Engineer, or in a similar role, with a strong portfolio of successful projects.
Expertise in machine learning algorithms, data modeling, and statistical analysis.
Extensive experience in Data Architecture and Machine Learning, with a demonstrable focus on AI/ML operations and implementation of enterprise-wide data frameworks.
Proficient in using Snowflake and various AWS services, such as Sagemaker, for data warehousing and machine learning projects.
Strong programming skills in Python, SQL, and other relevant languages/frameworks.
Excellent analytical, problem-solving, and project management skills.
Ability to work collaboratively in a team environment and communicate complex technical concepts to non-technical stakeholders.
Experience with implementing automated testing frameworks within the data ecosystem is a big plus.
Fluent in English, with excellent verbal and written communication skills.
High-level english communication is needed.
Team-work player, proactive and great attitude.
Responsibilities
The successful candidate will play a pivotal role in identifying cross-sell/up-sell opportunities, addressing lost demand, and enhancing demand forecasting. Utilizing disparate marketplace data and integrating various data sources will be a key responsibility, aiming to extract valuable insights and drive strategic decisions.
Architect and enforce scalable AI/ML operational frameworks to support our machine learning and analytics initiatives, ensuring scalability, efficiency, and security across the enterprise.
Build and deploy sophisticated machine learning models to unlock business opportunities and enhance predictive analytics capabilities.
Design and implement robust data architectures to support machine learning and analytics initiatives, ensuring scalability, efficiency, and security.
Develop and deploy advanced machine learning models to identify cross-sell/up-sell opportunities, forecast demand, and optimize inventory management.
Analyze and integrate disparate marketplace data, identifying patterns and insights that can drive business strategy and operational improvements.
Collaborate with cross-functional teams to understand business needs, gather requirements, and translate them into technical specifications.
Leverage Snowflake for data warehousing solutions, ensuring optimal performance, data integrity, and compliance with data governance standards.
Explore and implement AWS services, including Sagemaker, to enhance machine learning capabilities and automate data processing workflows.
Continuously monitor, evaluate, and improve the performance of data systems and machine learning models, incorporating feedback and emerging technologies.
Provide technical leadership and mentorship to junior team members, fostering a culture of innovation and continuous learning.
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