Data Scientist

at  247 Labs Inc

INTRODUCTION:

We are seeking a skilled and experienced Senior Data Analyst to join our team. The ideal candidate will be proficient in handling datasets, possess strong analytical skills, and recommend and implement tools to streamline data management processes

REQUIRED QUALIFICATIONS:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Minimum of 7 years of experience in software development with a focus on deep learning, machine learning, and data science.
• Proficiency in Python or R.
• Strong experience with DL or ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Expertise in data analysis, statistical modeling, and data visualization.
• Excellent problem-solving skills and the ability to translate business needs into technical solutions.
• Solid knowledge of data preprocessing, cleaning, and transformation.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies is a plus.
• Strong communication skills, both verbal and written, and the ability to work effectively in a team.

• Data Analysis and Modeling:
• Perform data analysis, feature engineering, and model development to extract meaningful insights from large datasets.
• Develop Data Cleaning and ETL Scripts
• Create and train machine learning models for predictive analytics, classification, and recommendation systems.
• Data Visualization:
• Develop data visualization solutions to present analytical findings and insights to both technical and non-technical stakeholders.
• Use tools and libraries to create interactive and informative data dashboards and reports.
• Software Development:
• Collaborate with software engineers to integrate AI and data science solutions into existing software applications.
• Participate in the design and development of new software features and functionalities.
• Research and Innovation:
• Stay updated on the latest advancements in AI, machine learning, and data science.
• Identify opportunities for innovation and propose new projects that leverage AI and data science for business benefit.
• Communication and Collaboration:
• Effectively communicate complex technical concepts and findings to both technical and non-technical team members.
• Collaborate with cross-functional teams to understand business requirements and objectives.