Experienced Data Scientist – Business Intelligence and Machine Learning

At careerzynith, we're on a mission to revolutionize the way we approach data-driven decision making. As a leader in the industry, we're committed to empowering our teams with the tools and expertise they need to drive business process optimizations and support sales and service strategies through data. We're now seeking an exceptional Data Scientist to join our Business Investigation group, where you'll play a critical role in driving key cross-functional projects for both energy and car businesses using data science tools and techniques.

About careerzynith

careerzynith is a forward-thinking organization that's passionate about harnessing the power of data to drive business growth and innovation. Our teams are dedicated to delivering exceptional results, and we're committed to fostering a culture of collaboration, creativity, and continuous learning. As a Data Scientist at careerzynith, you'll have the opportunity to work with a talented team of experts, leveraging cutting-edge technologies and methodologies to drive business impact.

Key Responsibilities

As a Data Scientist at careerzynith, you'll be responsible for leading key cross-functional projects that drive business process optimizations and support sales and service strategies through data. Your key responsibilities will include:

• Contributing to all phases of data science projects, from interpreting complex business issues into data science problems to performing data analysis and modeling, and providing solutions to the business
• Creating and maintaining complex data pipelines, supporting our group's goal of democratizing data and empowering an information-driven organization, collaborating with Data Experts, Data Specialists, AI (ML) Designers, and Product Directors
• Effectively communicating significant insights to all levels of the organization with varying levels of data science understanding and backgrounds
• Collaborating closely with leadership, design, and other partners to deliver effective business insights
• Applying various ML, advanced analysis, and representation methods to different datasets across the organization

What You'll Bring

To succeed in this role, you'll need to bring a unique combination of skills and experience. Here are the key qualifications we're looking for:

• MS or 2+ years of equivalent experience in a quantitative field (e.g. Data Science, Applied Mathematics, Business Analytics, Operations Research, Statistics, Computer Science, Artificial Intelligence, Economics, or Engineering)
• Results-driven areas of expertise and in-depth data science skills
• Strong written, verbal, and interpersonal skills, with the ability to communicate effectively at all levels of the organization
• Demonstrated history of extracting insights from data and building ML models, particularly in business analysis (or related) space; upleveling the group's ML capabilities in at least one significant area (e.g. classification, predictive modeling, descriptive analysis, or Natural Language Processing (NLP))
• Mastery 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.
• Mastery 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 carry construction too) uncertainty, taking an issue from 0 to 1
• Excellent problem-solving, critical thinking, and project management skills, as well as the ability to quickly pivot in a different direction
• Ability to manage and prioritize multiple tasks

Anticipated Compensation

We offer a highly competitive compensation package, including:

• $80,000 - $258,000/yearly salary
• Bonus and stock awards
• Benefits

Pay offered may vary depending on individualized factors, including market area, work-related information, skills, and experience. The complete compensation package for this position may also include other components dependent on the position advertised. Details of support in these benefit plans will be provided if a candidate receives a job offer.

Why Join careerzynith?

At careerzynith, we're passionate about creating a work environment that's collaborative, creative, and supportive. We believe in fostering a culture of continuous learning and growth, where our teams can thrive and reach their full potential. As a Data Scientist at careerzynith, you'll have the opportunity to work with a talented team of experts, leveraging cutting-edge technologies and methodologies to drive business impact.

Apply Now!

Even if you feel you're not a perfect match, we'd still love to hear from you. We're looking for great people to join our friendly team. Apply now to take the first step in your career journey with careerzynith! Apply for this job