Experienced Full Stack Data Scientist – Business Analytics and Machine Learning
Are you ready to drive results and define an industry? Join careerzynith as a highly skilled and motivated Data Scientist in our Business Analytics and Machine Learning team. We're seeking a talented professional to lead key cross-functional projects, utilizing data science tools and methods to drive business process optimizations and support sales and service procedures. If you're passionate about leveraging data to drive business decisions and have a strong background in data science, we encourage you to apply for this exciting opportunity.
About careerzynith
careerzynith is a leading innovator in the industry, dedicated to empowering an information-driven business and creating value from our data. Our Business Examination group is responsible for providing insights around our business and its related processes, as well as customers and products. We directly support business leaders from our brick and mortar stores and at the top, and up to our executive team. As a Data Scientist at careerzynith, you'll have the opportunity to work with a talented team of professionals who are passionate about data-driven decision making.
Job Summary
We're seeking an experienced Data Scientist to join our Business Analytics and Machine Learning team. As a key member of our team, you'll be responsible for leading cross-functional projects, utilizing data science tools and methods to drive business process optimizations and support sales and service procedures. You'll work closely with our Information Examiners, Information Designers, AI (ML) Specialists, and Product Directors to deliver significant business insights.
Key Responsibilities
* Lead key cross-functional projects, utilizing data science tools and methods to drive business process optimizations and support sales and service procedures
- Create and maintain complex data pipelines, supporting our team's goal in democratizing data and empowering an information-driven association
- Effectively communicate significant insights to all levels of the organization, with varying levels of data science understanding and expertise
- Collaborate closely with authority, design, and other partners to deliver significant business insights
- Apply various ML, advanced analysis, and visualization procedures to different datasets across the organization
- Develop and maintain a deep understanding of our business processes and data assets
What You'll Bring
* Bachelor's degree in a quantitative field (e.g., Data Science, Applied Mathematics, Business Analytics, Operations Research, Statistics, Computer Science, Artificial Intelligence, or Economics)
- 2+ years of experience in a quantitative field, with a strong background in data science
- Results-oriented mindset, with a keen interest in data science and a strong understanding of data science tools and methods
- Excellent written, verbal, and interpersonal skills, with the ability to communicate effectively at all levels of the organization
- Demonstrated history of extracting insights and building ML models, particularly in business analytics (or related) areas
- Uplevel our team's ML capabilities in at least one significant area (e.g., estimation, predictive modeling, descriptive analysis, or Natural Language Processing (NLP))
- Master in SQL and Python, particularly in standard data science libraries and frameworks like pandas, numpy, scikit-learn, TensorFlow/PyTorch, PySpark, etc.
- Capability in at least one visualization tool, such as Tableau, Streamlit, etc.
- Master in data wrangling and analyzing large and complex datasets, structured or unstructured
- Ability to self-start and work independently in an unstructured environment, as well as explore (and bring design to) ambiguity, taking an issue from 0 to 1
- Amazing problem-solving, critical thinking, and project management skills, as well as the ability to rapidly pivot
- Ability to manage and prioritize multiple projects
What We Offer
* Competitive salary and benefits package
- Opportunity to work with a talented team of professionals who are passionate about data-driven decision making
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Flexible work arrangements, including remote work options
- Access to cutting-edge technology and tools
- Recognition and rewards for outstanding performance
How to Apply
If you're a motivated individual ready to contribute to a thriving team, we encourage you to apply now! We're excited to review your application and discuss this opportunity further. Apply for this job