Experienced Full Stack Data Scientist – Web & Cloud Application Development at arenaflex
Job Summary:
Join arenaflex, a leading technology and logistics company, as a highly skilled Data Scientist to drive business growth and innovation. As a key member of our Analytics team, you will leverage your expertise in data analysis, machine learning, and statistical modeling to uncover insights and inform strategic decisions across various business units. If you're passionate about using data to drive business outcomes and have a strong background in data science, we want to hear from you!
About arenaflex:
arenaflex is a cutting-edge technology and logistics company that's revolutionizing the way people live and work. Our mission is to empower local economies by connecting people with opportunity. We're a team of innovators, doers, and learners who are passionate about making a difference. At arenaflex, we believe in the power of data to drive business growth and innovation. Our Analytics team is at the forefront of this effort, using advanced data science techniques to uncover insights and inform strategic decisions.
About the Role:
As a Data Scientist at arenaflex, you will be responsible for:
Data Analysis and Modeling:
Use your expertise in data analysis, machine learning, and statistical modeling to uncover insights and inform strategic decisions across various business units.
Data Visualization:
Develop and maintain data visualizations and dashboards to communicate insights and trends to stakeholders.
Collaboration:
Work closely with cross-functional teams, including engineering, product, and business stakeholders to understand business needs and develop data-driven solutions.
Mentorship:
Mentor junior analysts and data scientists to develop their skills and expertise.
Experimentation:
Design and execute experiments to test hypotheses and inform business decisions.
Communication:
Communicate complex technical concepts to non-technical stakeholders and present findings to senior leadership.
Why You'll Love Working at arenaflex:
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Leadership:
We believe in leadership at all levels, and everyone at arenaflex is encouraged to take ownership and lead initiatives.
Doers:
We're a team of doers who believe in taking action and making things happen.
Learners:
We're committed to continuous learning and professional development, and we encourage everyone to take ownership of their learning journey.
Customer-obsessed:
We're passionate about delivering exceptional customer experiences and building strong relationships with our customers, merchants, and dashers.
Inclusive Culture:
We're a diverse and inclusive team that values different perspectives and backgrounds.
Requirements:
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Education:
Bachelor's degree in Math, Physics, Statistics, Economics, Computer Science, or a related field.
Experience:
4+ years of experience in data analytics, consulting, or a related role.
Skills:
+ Expertise in SQL queries, ETL, A/B Testing, and statistical evaluation (e.g. hypothesis testing, experimentation, regressions) with statistical packages, including Matlab, R, SAS, or Python. + Proficiency in a single or multiple analytics & visualization tools (e.g. Chartio, Looker, Tableau). + Strong understanding of machine learning algorithms and techniques. + Experience with cloud-based data platforms (e.g. AWS, GCP, Azure). + Strong communication and collaboration skills.
Preferred Qualifications:
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Master's degree
in a related field.
Experience
with big data technologies (e.g. Hadoop, Spark).
Certifications
in data science or related fields (e.g. Certified Data Scientist, Certified Analytics Professional).
What We Offer:
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Competitive Salary:
$30-40/hour.
Benefits:
Comprehensive health insurance, wellness programs, and paid time off.
Professional Development:
Opportunities for growth and development, including training and mentorship programs.
Inclusive Culture:
A diverse and inclusive team that values different perspectives and backgrounds.
How to Apply:
If you're passionate about data science and want to join a team of innovators, doers, and learners, apply now! Please submit your resume, cover letter, and any relevant work samples or projects. We can't wait to hear from you! Apply Job! Apply for this job