Are you someone who wants to retire EARLY??
Have you always envied those who became rich from a startup that sold or went IPO?
Have you ever wanted to work for an early stage start-up where you can build and make a huge impact early on?
Are you a self starter or have an entrepreneurial mindset?
We are looking for YOU!
This role right now is a Part-time equity only role, but we will soon change that as investors are coming in. All current employees are equity based and have a piece of the pie. All hoping to strike it rich. We are looking for someone who is capable of working on a project on the side or after hours and be able to truly dedicate their time and resources to the product. Tech and Start-up are not easy but can be very rewarding.
We are seeking an exceptional Head of Data Science to lead our cutting-edge data science initiatives and drive innovation through the application of advanced analytics and machine learning techniques. This role is pivotal in shaping our data-driven strategies and leveraging the power of data to unlock new opportunities and insights.
Responsibilities
- Data Science Strategy and Roadmap: Develop and execute a comprehensive data science strategy aligned with the company's vision and goals. Define the data science roadmap, prioritize initiatives, and ensure the effective allocation of resources to drive impactful outcomes.
- Data Science Team Leadership: Build and lead a high-performing team of data scientists, analysts, and engineers. Foster a collaborative and innovative environment that encourages creativity, continuous learning, and professional growth.
- Advanced Analytics and Machine Learning: Spearhead the development and implementation of advanced analytics and machine learning models to extract valuable insights from complex data sets. Leverage techniques such as predictive modeling, natural language processing, computer vision, and deep learning to solve business challenges and drive data-driven decision-making.
- Data Architecture and Engineering: Collaborate with data engineers and architects to design and implement scalable and robust data pipelines, ensuring the availability of high-quality data for analysis and modeling.
- Psychological and Behavioral Data Analysis: Leverage your expertise in psychology to analyze and interpret data related to human behavior, emotions, and cognitive processes. Develop innovative approaches to understanding and predicting user behavior, preferences, and decision-making patterns.
- Cross-Functional Collaboration: Work closely with cross-functional teams, including product, engineering, and business stakeholders, to translate data-driven insights into actionable strategies and product enhancements.
- Data Governance and Ethics: Establish and maintain data governance frameworks, ensuring data privacy, security, and ethical practices in the collection, storage, and utilization of data.
- Thought Leadership and Knowledge Sharing: Represent the company as a thought leader in the data science community, participating in industry events, conferences, and forums. Foster a culture of knowledge sharing and continuous learning within the organization.
Qualifications
- Education: Ph.D. in Psychology or a related field, with a strong focus on data analysis and quantitative methods.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related quantitative field.
- Experience :Minimum of 5 years of experience in data science roles, with a proven track record of delivering impactful data-driven solutions.
- Hands-on experience working in a pre-seed startup environment, with a deep understanding of the challenges and opportunities associated with building and scaling data science capabilities.
- Technical Skills: Proficiency in programming languages such as Python, R, or SQL, and familiarity with data science libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with big data technologies (e.g., Hadoop, Spark, NoSQL databases) and cloud computing platforms (AWS, GCP, Azure).
- Knowledge of data visualization tools (e.g., Tableau, Power BI, D3.js) and data storytelling techniques.
- Leadership and Management: Exceptional leadership skills, with the ability to inspire and motivate teams, foster collaboration, and drive innovation. Strong project management and organizational skills to oversee complex data science initiatives.
- Communication and Collaboration: Excellent communication skills, both written and verbal, to effectively communicate complex data science concepts to technical and non-technical audiences. Ability to collaborate with cross-functional teams and stakeholders.
- Problem-Solving and Critical Thinking: Strong analytical and problem-solving skills, with the ability to break down complex problems, identify patterns, and devise innovative data-driven solutions.
- Passion for Data and Continuous Learning: A genuine passion for data science and a commitment to continuous learning and professional development. A deep curiosity and drive to explore new techniques and stay up-to-date with the latest advancements in the field.
This is an exceptional opportunity to lead and shape the data science strategy of our dynamic and innovative startup. If you are a visionary data science professional with a unique blend of technical expertise, psychological insights, and a passion for driving data-driven innovation, we encourage you to apply.