Experienced Manager - Data Science – AI and Machine Learning Expert for Data-Driven Decision Making at blithequark
Are you a data science expert with a passion for driving business growth through data-driven decision making? Do you have a strong background in AI and machine learning, and experience working with large datasets? If so, we may have the perfect opportunity for you at blithequark. As a Manager - Data Science at blithequark, you will be part of a dynamic team that is responsible for developing and implementing data-driven solutions to drive business growth and improve customer experiences. You will work closely with cross-functional teams to identify business opportunities and develop data-driven strategies to address them.
About blithequark
blithequark is a leading global financial services company that is committed to delivering exceptional customer experiences. We are a company that is constantly innovating and pushing the boundaries of what is possible in the financial services industry. Our team is made up of talented and passionate individuals who are dedicated to making a difference in the lives of our customers.
Job Summary
We are seeking an experienced Manager - Data Science to join our team at blithequark. As a Manager - Data Science, you will be responsible for leading a team of data scientists to develop and implement data-driven solutions to drive business growth and improve customer experiences. You will work closely with cross-functional teams to identify business opportunities and develop data-driven strategies to address them.
Key Responsibilities
* Lead a team of data scientists to develop and implement data-driven solutions to drive business growth and improve customer experiences
- Collaborate with cross-functional teams to identify business opportunities and develop data-driven strategies to address them
- Develop and maintain large datasets and modern tools in an industry-leading Large Data environment
- Build NLP-driven solutions from identifying business issues to gathering training datasets, to analyzing data, to modeling, to approving and to delivering NLP models
- Develop everything from basic reports to cutting-edge AI models and algos to drive upgrades to our customers' online and mobile application experiences
- Work with product owners to change the product and content plan with a data-driven approach
- Collaborate with tech partners to test, implement and deliver modeling solutions to production systems
- Form insights into customer behavior and introduce new methodologies to transform complex social data into meaningful information
- Influence the power of closed-loop feedback through Amex organization to make choices more intelligent and relevant
- Improve with a focus on creating fresher and better methodologies using large data and AI solutions
Essential Qualifications
* Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operations Research, etc.) with hands-on experience using modern scientific and AI techniques
- PhD degree with practical experience in NLP is a plus
- Skill in a programming language (Python, R, or the same), and experience with databases (Hive, SQL, or the same)
- Knowledge of SAS is a plus but not required
- Deep understanding of AI/factual calculations like deep learning and supporting
- Experience with data representation is a plus
- Proven ability to approach business issues into numerical programming issues, leverage outside thinking and tools (from academia or potentially other industries) to design a solution and deliver business insights
- Ability to work effectively in a team environment
- Free thinker who's organized, has great empathy, and can multitask
- Strong communication skills
- Ability to advance rapidly and work independently with complex, unstructured datasets
- Ability to collaborate with cross-functional colleagues around the world
Preferred Qualifications
* Master's or PhD degree in a quantitative field
- Experience working with large datasets and modern tools
- Strong understanding of AI and machine learning techniques
- Experience with data visualization tools and techniques
- Strong communication and presentation skills
- Ability to work in a fast-paced environment and prioritize multiple tasks and projects
What We Offer
* Competitive salary range of $20-30/hour
- Opportunity to work with a leading global financial services company
- Collaborative and dynamic work environment
- Opportunities for professional growth and development
- Comprehensive benefits package
- Flexible work arrangements, including remote work options
How to Apply
If you are a motivated and experienced data science professional who is passionate about driving business growth through data-driven decision making, please submit your application through our website. We look forward to hearing from you! Apply for this job