Principal Data Scientist

2 months ago

San Francisco, United States ZipRecruiter Full time

Job Description

Introduction:

Are you a master of data, with the ability to extract meaningful insights from the most complex datasets? Do you have the expertise to develop advanced models that not only solve challenging problems but also drive strategic decisions? If you’re a visionary data scientist who thrives on turning raw data into actionable intelligence, then our client has the perfect role for you. We’re searching for a Principal Data Scientist (aka The Data Whisperer) to lead our data science efforts and turn numbers into narratives that shape our business.

Imagine leading the charge in data science at a company that values innovation, precision, and insight. As the Principal Data Scientist at our client, you’ll be at the forefront of our data strategy, developing models and algorithms that unlock the full potential of our data. This role is not just about crunching numbers—it’s about using data to tell compelling stories that guide our company’s future.

Key Responsibilities:

  1. Advanced Modeling and Analysis: Develop and implement complex statistical models, machine learning algorithms, and predictive analytics to solve business problems and uncover new opportunities. You’ll be the go-to expert for creating models that provide actionable insights.
  2. Data Strategy and Innovation: Shape and drive the company’s data strategy, ensuring that data science initiatives align with business objectives. You’ll lead the exploration of new data sources, tools, and methodologies that enhance our data capabilities.
  3. Mentorship and Leadership: Mentor and guide a team of data scientists and analysts, fostering a culture of continuous learning, collaboration, and innovation. You’ll ensure that your team is equipped with the skills and knowledge to excel in their roles.
  4. Cross-Functional Collaboration: Work closely with engineering, product management, and other departments to integrate data-driven insights into our products and services. You’ll be the bridge between data science and the rest of the organization, ensuring that data is a key driver of decision-making.
  5. Data Visualization and Storytelling: Translate complex data analyses into clear, actionable insights and visualizations that inform business strategy. You’ll craft compelling data stories that resonate with both technical and non-technical stakeholders.
  6. Research and Development: Stay ahead of industry trends and advancements in data science, bringing new techniques and tools to the team. You’ll ensure that our data science practices are at the cutting edge, continuously pushing the boundaries of what’s possible.
  7. Ethics and Compliance in Data Science: Ensure that all data science initiatives adhere to the highest standards of ethics, privacy, and compliance. You’ll champion the responsible use of data, ensuring that our practices are transparent, fair, and legally compliant.

Requirements

Required Skills:

  • Data Science Mastery: Extensive experience in data science, including deep knowledge of machine learning, statistical modeling, and data mining techniques. You’re proficient in tools like Python, R, SQL, and big data platforms like Hadoop or Spark.
  • Leadership Excellence: Proven experience leading and mentoring data science teams, with a track record of delivering impactful data-driven solutions. You’re the kind of leader who can inspire and guide a team to achieve their best work.
  • Strategic Vision: Ability to develop and implement a data strategy that aligns with business goals and anticipates future needs. You’re always thinking ahead, ensuring that our data science efforts are future-proof and scalable.
  • Communication Skills: Exceptional ability to communicate complex data insights to both technical and non-technical stakeholders. You make the intricate understandable, ensuring that data drives action and decision-making.
  • Problem-Solving Savvy: Strong analytical and problem-solving skills, with the ability to tackle the most challenging data issues and find innovative solutions.
  • Humor: A great sense of humor, because we believe in fostering a work environment that is both productive and enjoyable. If you can lighten the mood while diving deep into data, you’re our kind of leader.

Educational Requirements:

  • Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field. Equivalent experience with a proven track record in data science leadership is also valued.
  • Certifications in data science, machine learning, or relevant technologies are a plus. If you’ve contributed to open-source data science projects or published papers, that’s a bonus.

Experience Requirements:

  • 10+ years of experience in data science or related fields, with at least 5 years in a leadership role such as Lead Data Scientist, Senior Data Scientist, or Principal Data Scientist. You’ve successfully led teams that have delivered significant business value through data science.
  • Proven experience in building and deploying machine learning models in production environments, particularly in industries such as SaaS, fintech, or healthtech.
  • Experience with big data technologies, cloud platforms, and advanced analytics tools.

Benefits

  • Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
  • Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
  • Work-Life Balance: Flexible work schedules and telecommuting options.
  • Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
  • Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.
  • Life and Insurance: Life insurance and short-term/long-term coverage.
  • Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.
  • Tuition Reimbursement: Financial assistance for continuing education and professional development.
  • Community Engagement: Opportunities to participate in community service and volunteer activities.
  • Recognition Programs: Employee recognition programs to celebrate achievements and milestones.

Call to Action:

If you’re a strategic thinker with a passion for data and a talent for guiding teams, we want to hear from you. Apply now to become our Principal Data Scientist (The Data Whisperer) and help us build the data solutions that will shape the future. Your next big challenge starts here—apply today

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