Data Scientist Ai Ml T (Remote)

Data Scientist Ai Ml T | Traydstream | UK

Role & Responsibilities

As a Data Scientist, you will play a pivotal role in advancing our data-driven initiatives. You will be responsible for:

·       Leading the development, implementation, and deployment of machine learning models across various domains.

·       Collaborating closely with cross-functional teams to understand business requirements and translate them into technical solutions.

·       Managing the end-to-end machine learning lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.

·       Ensuring scalability, reliability, and performance of machine learning systems in production environments.

·       Conducting thorough data analysis and interpretation to extract actionable insights and drive business strategy.

·       Utilizing your expertise in Natural Language Processing (NLP), Computer Vision, and other advanced techniques to solve complex problems.

·       Using visualization and reporting tools to effectively communicate findings and recommendations to stakeholders.

·       Leading code reviews and providing constructive feedback to ensure code quality and adherence to best practices.

·       Mentoring and coaching junior data scientists, fostering their professional growth and development.

Benefits of working at Traydstream

We’re a company on an ambitious mission. We work hard, and we’re proud to offer our team generous benefits to support them both professionally and personally.

1.      Comprehensive health plans

2.      Generous leave policy

3.      Flexible remote working

4.      Unlimited learning and development programs

5.      Cross-functional learning paths

Must Haves

·       Bachelor’s degree in computer science, Software Engineering, Statistics, Mathematics, or a related field.

·       Minimum of 3 years of experience in a similar role, with a proven track record of developing and deploying machine learning models.

·       Proficiency in Python and its data science ecosystem (e.g., NumPy, Pandas, scikit-learn) for data manipulation, analysis, and modeling.

·       Strong understanding of coding standards, version control (Git), and containerization (Docker).

·       Experience with Linux, including command-line operations and navigation.

·       Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for scalable computing and model deployment.

·       Solid knowledge of the machine learning lifecycle, including model evaluation, debugging, and optimization.

·       Ability to work with large-scale and unstructured datasets, employing efficient data processing techniques.

·       Excellent research skills, comfortable reading and applying academic papers, and staying updated with industry trends.

·       Outstanding communication skills with the ability to articulate complex technical concepts to diverse audiences.

·       Strong analytical mindset, attention to detail, and problem-solving skills.

Nice to Haves

·       Master’s degree or higher in a related field.

·       Previous experience mentoring or managing junior team members.

·       Portfolio showcasing impactful projects in machine learning, data analysis, or data visualization.

·       Familiarity with advanced visualization tools (e.g., Tableau, Power BI) for data exploration and presentation.

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