Principal Data Scientist (The Data Whisperer)

About the position

The Principal Data Scientist will lead the data science efforts at the company, focusing on developing advanced models and algorithms that drive strategic decisions and unlock the potential of data. This role emphasizes not just technical expertise but also the ability to communicate insights effectively and mentor a team of data scientists. The position is pivotal in shaping the company's data strategy and ensuring that data-driven insights are integrated across various departments.

Responsibilities

• Develop and implement complex statistical models, machine learning algorithms, and predictive analytics to solve business problems.
• Shape and drive the company's data strategy, ensuring alignment with business objectives.
• Mentor and guide a team of data scientists and analysts, fostering a culture of continuous learning and collaboration.
• Collaborate with engineering, product management, and other departments to integrate data-driven insights into products and services.
• Translate complex data analyses into clear, actionable insights and visualizations for stakeholders.
• Stay ahead of industry trends and advancements in data science, bringing new techniques and tools to the team.
• Ensure adherence to the highest standards of ethics, privacy, and compliance in all data science initiatives.

Requirements

• Extensive experience in data science, including deep knowledge of machine learning, statistical modeling, and data mining techniques.
• Proficiency in tools like Python, R, SQL, and big data platforms like Hadoop or Spark.
• Proven experience leading and mentoring data science teams with impactful data-driven solutions.
• Ability to develop and implement a data strategy that aligns with business goals.
• Exceptional communication skills to convey complex data insights to technical and non-technical stakeholders.
• Strong analytical and problem-solving skills to tackle challenging data issues.

Nice-to-haves

• Certifications in data science, machine learning, or relevant technologies.
• Experience contributing to open-source data science projects or publishing papers.

Benefits

• Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
• Competitive vacation, sick leave, and 20 paid holidays per year.
• Flexible work schedules and telecommuting options.
• Opportunities for training, certification reimbursement, and career advancement programs.
• Access to wellness programs, including gym memberships, health screenings, and mental health resources.
• Life insurance and short-term/long-term coverage.
• Confidential counseling and support services through an Employee Assistance Program (EAP).
• Financial assistance for continuing education and professional development through tuition reimbursement.
• Opportunities to participate in community service and volunteer activities.
• Employee recognition programs to celebrate achievements and milestones.