05/06/2024
Job Title: Principal Data Scientist, Marketing Intelligence - Remote Graveyard Shift (Full-Time)
Responsibilities:
- Collaborate with ui/ux designers, software engineers, and product managers to create products that customers love.
- Utilize a wide range of technologies including Python, Conda, AWS, H2O, Spark, etc. to extract insights from large volumes of numeric and textual data.
- Develop machine learning models from design to implementation, including training, evaluation, and validation stages.
- Utilize strong interpersonal skills to translate complex work into tangible business objectives.
Ideal Candidate Profile:
- Curiosity and Creativity: Thrives on defining and solving big, undefined problems. Enjoys asking questions and finding answers. Open to sharing new ideas. Able to clearly and effectively communicate findings to non-technical audiences.
- Technical Proficiency: Has hands-on experience developing data science solutions from concept to production using open-source tools and modern cloud computing platforms. Comfortable handling petabytes of data.
- Statistical Mindset: Has experience building, validating, and back testing models. Familiar with confusion matrix and ROC curve interpretation. Experienced in clustering, classification, sentiment analysis, time series analysis, and deep learning.
Basic Qualifications:
- In the process of obtaining or already having a Bachelor's Degree plus 5 years of data analytics experience, or a Master's Degree plus three years in data analytics, or currently obtaining a PhD. The required degree should be obtained on or before the scheduled start date.
- At least 1 year of experience in open-source programming languages for large-scale data analysis.
- At least 1 year of experience with machine learning.
- At least 1 year of experience with relational databases.
Preferred Qualifications:
- At least 3 years of experience in data analytics.
- At least 1 year of experience working with AWS.
- At least 3 years of experience in Python, Scala, or R.
- At least 3 years of experience with machine learning.
- At least 3 years of experience with SQL.
To proceed with your application, please fill in the form below so our Team can schedule an interview once we've determined you are suited for this role.
https://docs.google.com/forms/d/e/1FAIpQLSc8rPcyDVJRJk_iyA-8jtELTlCIsPl_5oIUnUVgjrNSXMet1w/viewform?usp=sharing
Please prepare a pre-screening video and explaining your work experience and why you should be hired.