Description:

The Principal Data Scientist (The Data Whisperer) role at our client involves leading data science efforts to transform raw data into actionable intelligence that shapes the business.
Responsibilities include developing and implementing advanced statistical models, machine learning algorithms, and predictive analytics to solve business problems and identify opportunities.
The position requires shaping and driving the company's data strategy, exploring new data sources and methodologies to enhance data capabilities.
The Principal Data Scientist will mentor and guide a team of data scientists and analysts, fostering a culture of continuous learning and collaboration.
Collaboration with engineering, product management, and other departments to integrate data-driven insights into products and services is essential.
The role also involves translating complex data analyses into clear visualizations and actionable insights that inform business strategy.
Staying updated on industry trends and advancements in data science to bring new techniques and tools to the team is a key responsibility.
Ensuring all data science initiatives adhere to high standards of ethics, privacy, and compliance is crucial.

Requirements:

Data Science Mastery: Extensive experience in data science, including proficiency in machine learning, statistical modeling, and data mining using tools like Python, R, SQL, and big data platforms.
Leadership Excellence: Proven track record of leading and mentoring data science teams to deliver impactful solutions.
Strategic Vision: Ability to develop and implement a data strategy aligned with business goals and future needs.
Communication Skills: Exceptional ability to communicate complex data insights to technical and non-technical stakeholders effectively.
Problem-Solving Savvy: Strong analytical and problem-solving skills to tackle challenging data issues.
Humor: A great sense of humor to foster a productive and enjoyable work environment.

Educational Requirements:

Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or related field. Equivalent experience with a proven track record in data science leadership is valued.
Certifications in data science, machine learning, or relevant technologies are a plus.

Experience Requirements:

10+ years of experience in data science or related fields, with at least 5 years in a leadership role.
Experience in building and deploying machine learning models in production environments, particularly in industries like SaaS, fintech, or healthtech.
Familiarity with big data technologies, cloud platforms, and advanced analytics tools.

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 for work-life balance.
Opportunities for training, certification reimbursement, and career advancement.
Access to wellness programs, gym memberships, health screenings, and mental health resources.
Life insurance and short-term/long-term disability coverage.
Employee Assistance Program (EAP) for confidential counseling and support services.
Tuition reimbursement for continuing education and professional development.
Opportunities for community service and volunteer activities.
Employee recognition programs to celebrate achievements and milestones.