Data Scientist/Software Engineer

TITLE: Data Scientist/Software Engineer

ABOUT WorldLink:

WorldLink is a rapidly growing information technology company at the forefront of the tech transformation. From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today’s most cutting-edge digital technologies to create value and grow.

Collaborative. Respectful. Work hard Play hard. A place to dream and do. These are just a few words that describe what life is like at WorldLink. We embrace a culture of experimentation and constantly strive for improvement and learning.

We take pride in our employees and their future with continued growth and career advancement. We put TEAM first. We are a competitive group that like to win. We're grounded by humility and driven by ambition. we're passionate, and we love tough problems and new challenges. You don't hear a lot of "I don't know how" or "I can't" at WorldLink. If you are passionate about what you do and having fun while doing it; tired of rigid and strict work environments and would like to work in a non-bureaucratic startup cultural environment, WorldLink may be the place for you.

For more information about our craft, visit https://worldlink-us.com.

WHO we’re looking for:

We are looking for a Data Scientist/Software Engineer with a blend of data science and software engineering experience, ensuring comprehensive understanding of project requirements.

Role and Responsibilities:

• Prepare data for analysis by cleaning, filtering, and transforming it. Engineer features to enhance model performance.
  
• Choose suitable machine learning algorithms and evaluate model performance using relevant metrics.
  
• Create visualizations to represent data effectively for various stakeholders. Communicate insights derived from data analysis and ML models.
  
• Deploy ML models in production environments. Manage model hyperparameters, training, retraining, version tracking, and governance.
  
• Collaborate with teams and document the ML pipeline, including data sources, feature engineering, and model selection.
  
• Stay updated with the latest ML advancements and engage in self-learning and research activities.
  

Required Experience and Education:

• Bachelor’s Degree in computer science or similar technical field w/4+ years' experience or Master's Degree in computer science or similar technical field w/1+ years' experience.
  
• Experience encompassing the following areas:
  

• Experienced software engineer in full lifecycle software development (from requirements phase to production deployment).
  
• Seasoned Data Sci