WE ARE LOOKING FOR A
Team Lead, Data Science
The Team Lead, Data Science, is a leadership role responsible for guiding a team of data scientists in solving complex problems, developing machine learning models, and extracting actionable insights from data. This role involves managing the execution of data science projects, mentoring junior team members, and collaborating with other departments to apply data-driven solutions to business challenges. The Team Lead will ensure that the data science team works effectively, leveraging advanced analytics, machine learning, and AI techniques to drive business value.
Tasks:
- Team leadership and mentorship: Lead, mentor, and develop a team of data scientists, providing guidance on best practices, career growth, and technical skill enhancement.
- Project management: Oversee and manage multiple data science projects from concept through to implementation, ensuring they align with business objectives and deliver value to the organization.
- Collaboration with stakeholders: Work closely with cross-functional teams, including product, engineering, marketing, and business leaders, to understand business needs and define data-driven solutions.
- Model development and deployment: Guide the team in designing, developing, and deploying machine learning models and advanced analytics techniques to solve business problems and improve processes.
- Data strategy and analysis: Define and implement data strategies, ensuring that data is properly collected, cleaned, and processed for analysis and model building.
- Ensure model performance: Continuously evaluate model performance and iteratively improve models based on feedback, new data, and evolving business requirements.
- Innovation and research: Stay up to date with the latest trends in data science, machine learning, and AI, and incorporate new technologies and techniques into projects to maintain innovation.
- Data visualization and reporting: Develop and communicate actionable insights and data-driven recommendations through visualizations and reports to both technical and non-technical stakeholders.
- Process improvement: Identify opportunities for improving data science workflows, tools, and processes to increase efficiency and reduce time to insights.
- Foster a data-driven culture: Encourage a data-driven mindset across the organization, helping teams to understand the value of data science and integrate it into decision-making.
- Quality control: Ensure the highest standards of data integrity, model accuracy, and quality across all data science projects.
Requirements:
- Experience: 6+ years of experience in data science, with at least 2 years in a leadership or team management role.
- Education: A degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Advanced degrees (Master's or PhD) are preferred.
- Technical skills: Proficiency in programming languages like Python, R, or similar, as well as expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Machine learning expertise: Strong experience in supervised and unsupervised machine learning, deep learning, and AI model development.
- Data engineering skills: Familiarity with data manipulation and transformation using tools such as SQL, Spark, or Hadoop. Experience with data pipelines and big data technologies is a plus.
- Data visualization: Experience with data visualization tools such as Tableau, Power BI, or similar tools to present insights to both technical and non-technical stakeholders.
- Statistical analysis: Expertise in statistical methods and techniques, with the ability to apply these to solve real-world problems and drive insights.
- Leadership and mentoring: Proven ability to lead teams, provide mentorship, and help team members grow in their technical and professional development.
- Collaboration and communication: Strong communication skills with the ability to clearly articulate complex data science concepts to both technical and business stakeholders.
- Problem-solving mindset: Strong analytical thinking and problem-solving skills with the ability to approach complex issues methodically and collaboratively.
- Agile experience: Familiarity with Agile or similar iterative development processes, and the ability to work in a fast-paced, dynamic environment.
Benefits:
Competitive salary
Health benefits
Company equity
Flexible schedule
Regular outings
Office trips
Career growth
Fun team
Education benefits
Commuter benefits
Holidays
Generous PTO
Preferred Qualifications:
- Experience with cloud technologies: Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and experience in deploying models in a cloud-based environment.
- Big data experience: Experience working with large datasets and distributed computing systems.
- Business acumen: A good understanding of business processes and how data science can be applied to solve business challenges and drive strategic decisions.
- Experience with NLP or computer vision: Expertise in natural language processing (NLP) or computer vision techniques is a plus.
- Project management skills: Experience in managing and prioritizing multiple projects in a fast-paced, deadline-driven environment.
Why CurvsAI?
- Leadership role: Take the lead in shaping the data science strategy and impact within a growing AI company.
- Innovation and learning: Work in an environment that fosters innovation and encourages continuous learning and experimentation with cutting-edge technologies.
- Collaborative culture: Join a dynamic team where collaboration and sharing knowledge are core to the company culture.
- Competitive benefits: Enjoy a competitive salary, performance bonuses, equity options, and comprehensive health benefits.
- Career growth: We support career development and provide opportunities for advancement within the company as you grow your skills and leadership abilities.
- Work-life balance: Benefit from flexible working hours and remote work options to maintain a healthy work-life balance.
If you’re an experienced data scientist with strong leadership skills and a passion for solving complex problems through data science and machine learning, we would love to hear from you. Apply now to join the CurvsAI team and make a significant impact in the AI industry!
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