We are seeking a talented and motivated Data Science Engineer with 2+ years of experience to join our team. The ideal candidate will have hands-on experience with data analysis, machine learning, and statistical modeling. This role involves developing, maintaining, and optimizing data-driven solutions to ensure the efficient and effective performance of our applications and services.

Responsibilities:

• Analyze large datasets to extract actionable insights and support decision-making.
• Develop and implement machine learning models and algorithms.
• Design and develop data pipelines and ETL processes for data ingestion and transformation.
• Collaborate with data scientists, software engineers, and product managers to integrate data solutions into applications.
• Utilize frameworks and libraries such as TensorFlow, PyTorch, and Scikit-learn for model development.
• Optimize models for performance, scalability, and accuracy.
• Conduct research to stay up-to-date with the latest advancements in data science and machine learning.
• Visualize data and model outcomes using tools like Tableau, Power BI, or Matplotlib.
• Debug and troubleshoot issues related to data pipelines and models.

Educational Requirements:

• Bachelor of Science (BSc) in Computer Science, Engineering, Mathematics, Statistics, or a related field.

Experience Requirements:

• 2+ years of relevant experience in data science and machine learning.

Preferred Qualifications:

• Proficiency in programming languages such as Python, R, or SQL.
• Experience with big data technologies like Hadoop and Spark.
• Familiarity with cloud services like AWS, Azure, or Google Cloud for data processing and model deployment.
• Strong understanding of statistical analysis, probability, and data structures.
• Experience with data visualization tools like Tableau, Power BI, or D3.js.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and as part of a team.
• Proven track record of delivering high-quality data science solutions.

Additional Skills:

• Experience with natural language processing (NLP) and computer vision.
• Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
• Familiarity with version control systems like Git.
• Understanding of Agile/Scrum development methodologies.