About Mindvalley:Mindvalley is the leading and most promising ed-tech company to date. We dominate the US market for Personal Growth Education. We are empowering athletes within every major US sports team and promoting successful learning strategies in major companies.We're currently on a mission to build the most advanced and complete learning experience to enable personal growth and development for all our amazing customers.We innovate tools that induce enlightenment within every aspect of human life. We are seeking the best engineers to build the best and most advanced education platform our species has seen. The goal to mark our success is: to power up to 100 countries, powering every Fortune 500 company, and progressing humanity towards a better future.About the Role:As a Senior Data Scientist, you will be a driving force in unlocking the power of data across our organization. You will wield your expertise in problem-solving, model development, and collaboration to tackle complex business challenges, innovate with cutting-edge technologies, and ensure the long-term success of our data science initiatives.Responsibilities:
Solution Design and Scalable Delivery:
Design and develop scalable machine learning models that address identified business needs with accuracy and efficiency.
Ensure data models are easily interpretable and aligned with business requirements and stakeholder expectations.
AI and ML Innovation and Adoption:
Drive the adoption of AI and ML across different facets of the organization, ensuring they contribute meaningfully to business outcomes.
Identify and evaluate new AI capabilities and technologies, assessing their potential impact and integration into current processes.
Business Problem Solving:
Collaboratively define and prioritise business challenges with high potential for data-driven solutions.
Apply expert analytical skills to translate complex business problems into clear and actionable data questions.
Continuous Learning and Innovation:
Stay abreast of the latest advancements in machine learning, artificial intelligence, and other data science domains.
Actively participate in research and development efforts, exploring new methodologies and potential applications and proactively identifying opportunities to improve existing models.
Model Maintenance and Comprehensive Governance:
Implement robust model maintenance and governance policies at an enterprise level, ensuring the longevity and reliability of data models.
Ensure all data science models and initiatives comply with regulatory and business requirements.
Communication and Collaboration:
Communicate technical insights and data-driven findings to diverse audiences.
Build and maintain strong relationships with engineers, analysts, and executives to drive adoption and maximize the impact of data science solutions.Skills:
Proficiency in machine learning, statistical modeling, and data mining.
Experience with AI and ML technologies and their integration into business processes.
Familiarity with model maintenance and governance practices.
Understanding of data science project lifecycle, from design to deployment.
Strong problem-solving and analytical skills.
Effective communication skills, capable of conveying complex technical ideas to diverse audiences.Experience:
Demonstrated experience in machine learning, statistical modeling, and data mining with a strong foundation in AI and ML technologies.
Proven track record of contributing to the design and implementation of scalable AI solutions in alignment with business objectives.
Experience in supporting the execution of data science projects, ensuring adherence to quality standards and timely delivery.
Familiarity with model maintenance and governance policies, ensuring compliance with regulatory and business requirements.
Skilled in collaborating with cross-functional teams to enhance organizational AI literacy and adoption.
Excellent communication skills, with the ability to effectively translate complex technical concepts for non-technical stakeholders.#J-18808-Ljbffr