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 complex statistical models, machine learning algorithms, and predictive analytics to solve business problems and uncover opportunities.
The position requires shaping and driving the company's data strategy, mentoring and guiding a team of data scientists, collaborating with cross-functional departments, translating complex data analyses into clear insights, staying updated on industry trends, and ensuring ethics and compliance in data science.

Requirements:

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

Health and Wellness: Comprehensive medical, dental, and vision insurance plans.
Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
Work-Life Balance: Flexible work schedules and telecommuting options.
Professional Development: Training, certification reimbursement, and career advancement programs.
Wellness Programs: Access to gym memberships, health screenings, and mental health resources.
Life and Disability Insurance: Coverage for life insurance and short-term/long-term disability.
Employee Assistance Program (EAP): Confidential counseling and support services.
Tuition Reimbursement: Financial assistance for continuing education.
Community Engagement: Opportunities for community service and volunteer activities.
Recognition Programs: Employee recognition programs to celebrate achievements.