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Experienced Full Stack Data Scientist – Customer Testing Analytics at blithequark

Remote Full-time Live

Are you a data-driven professional with a passion for experimentation and driving business decisions with data insights? Do you want to join a dynamic team at blithequark that values innovation, collaboration, and customer satisfaction? We are seeking an experienced Full Stack Data Scientist to join our Customer Testing Analytics team, where you will play a critical role in designing and executing large-scale customer-level trials and in-market tests to inform business decisions.

About blithequark

blithequark is a leading company that has always strived to be an alternative kind of organization. One that not only celebrates coffee and the rich tradition, but also brings a sense of community. We are known for creating remarkable leaders who share this energy and are driven by their passion to make a difference. Our mission is to inspire and nurture the human spirit – one person, one cup, and one neighborhood at a time.

Job Summary

As a Full Stack Data Scientist in the Customer Testing Analytics team, you will be responsible for designing and executing large-scale customer-level trials and in-market tests to inform business decisions. You will work closely with cross-functional teams, including innovation, marketing, and external partners, to develop comprehensive learning plans that align with business objectives. Your expertise in data analysis, statistical modeling, and data visualization will enable you to drive business decisions and inform go/no-go choices.

Key Responsibilities

* Design and execute large-scale customer-level trials and in-market tests to inform business decisions

  • Develop and implement statistical models to analyze customer behavior and preferences
  • Collaborate with cross-functional teams to develop comprehensive learning plans that align with business objectives
  • Communicate complex data insights to stakeholders, including business leaders and external partners
  • Lead and mentor junior colleagues to develop their skills and expertise in data analysis and statistical modeling
  • Stay up-to-date with industry trends and best practices in data science and analytics

Essential Qualifications

* Bachelor's degree in a quantitative field, such as mathematics, statistics, computer science, or economics

  • 3+ years of experience in data analysis or a related field
  • Strong programming skills in languages such as R or Python
  • Experience with data visualization tools, such as ggplot2, seaborn, or matplotlib
  • Strong understanding of statistical modeling and data analysis techniques, including A/B testing and inferential statistics
  • Experience with data management and extraction tools, such as SQL and data warehousing
  • Strong communication and presentation skills, with the ability to communicate complex data insights to stakeholders

Preferred Qualifications

* Master's degree in a quantitative field, such as mathematics, statistics, computer science, or economics

  • Experience with machine learning algorithms and deep learning techniques
  • Experience with data visualization tools, such as Tableau or Power BI
  • Strong understanding of data governance and data quality principles
  • Experience with cloud-based data platforms, such as Amazon Web Services or Google Cloud Platform
  • Strong understanding of industry-standard A/B testing tools and technologies, such as Google Optimize or Optimizely

Skills and Competencies

* Strong analytical and problem-solving skills, with the ability to think critically and creatively

  • Excellent communication and presentation skills, with the ability to communicate complex data insights to stakeholders
  • Strong collaboration and teamwork skills, with the ability to work effectively with cross-functional teams
  • Strong attention to detail and organizational skills, with the ability to manage multiple projects and deadlines
  • Strong understanding of data governance and data quality principles
  • Strong understanding of industry trends and best practices in data science and analytics

Career Growth Opportunities and Learning Benefits

* Opportunities for professional growth and development, including training and mentorship programs

  • Collaborative and dynamic work environment, with a focus on innovation and experimentation
  • Access to cutting-edge technologies and tools, including cloud-based data platforms and machine learning algorithms
  • Opportunities to work on high-impact projects and initiatives, with a focus on driving business decisions and informing go/no-go choices
  • Recognition and rewards for outstanding performance and contributions to the team

Work Environment and Company Culture

* Collaborative and dynamic work environment, with a focus on innovation and experimentation

  • Opportunities for professional growth and development, including training and mentorship programs
  • Access to cutting-edge technologies and tools, including cloud-based data platforms and machine learning algorithms
  • Recognition and rewards for outstanding performance and contributions to the team
  • Flexible work arrangements, including remote work options and flexible hours

Compensation, Perks, and Benefits

* Competitive salary and benefits package, including health insurance and retirement savings plan

  • Flexible work arrangements, including remote work options and flexible hours
  • Opportunities for professional growth and development, including training and mentorship programs
  • Access to cutting-edge technologies and tools, including cloud-based data platforms and machine learning algorithms
  • Recognition and rewards for outstanding performance and contributions to the team

How to Apply

If you are a motivated and talented data scientist with a passion for experimentation and driving business decisions with data insights, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter, along with any relevant samples or projects, to [insert contact information]. We look forward to hearing from you!

Equal Employment Opportunity

blithequark is an equal employment opportunity employer, committed to diversity and inclusion in the workplace. We welcome applications from qualified candidates of all backgrounds, including women, minorities, LGBTQIA+ individuals, veterans, and individuals with disabilities. We are committed to creating a workplace that is inclusive, respectful, and supportive of all employees.

Accommodations for Applicants with Disabilities

blithequark is committed to providing reasonable accommodations to applicants with disabilities. If you require accommodations during the application or interview process, please notify us in advance so that we can make necessary arrangements. Apply Job! Apply for this job

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