Data Scientist

**Welcome to TadaWeb, where we are excited about leveraging the power of AI to solve real world problems and making a positive impact on society. We are a team of passionate problem solvers who thrive in a collaborative and empowering environment that encourages creative and critical thinking. We believe in the power of diversity and inclusivity, and are committed to fostering a culture that embraces a variety of perspectives and approaches to tackling tough challenges. If you share our passion for AI, collaboration, creativity, and diversity, then we invite you to join us in our exciting journey. At TadaWeb, you'll have the opportunity to work with cutting-edge technology, collaborate with brilliant minds, and make a real difference in the world.**

**Our mission is to make the world safer and more sustainable by empowering humans with the ultimate machine - the human mind + data-driven insights. We combine technology with human intuition and expertise, focusing on transparency and ethics to reshape how organizations navigate and utilize the digital world. We believe that by harnessing the capabilities of machine learning and AI, we enable our users to unlock their full potential. We're looking for an experienced Data Scientist with expertise in generative AI, who has strong data engineering skills, and has experience in putting solutions into production. If this sounds like you, then we invite you to join our team and contribute to our groundbreaking platform.**

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**Responsibilities**:

- Develop and implement machine learning models, with a focus on generative AI technologies, to provide actionable insights and drive business growth.
- Design, build, and maintain robust data pipelines to ensure the efficient flow of data across multiple sources and platforms.
- Collaborate with cross-functional teams, including product managers, developers, designers, and customer success agents to ideate, prototype, and launch innovative features and products.
- Communicate effectively with both technical and non-technical stakeholders to ensure understanding and alignment on project goals, progress, and outcomes.

**Requirements**:

- Bachelor's or Master's degree in Data Science, or a related field.
- 3+ years of experience in data science, with a focus on generative AI technologies.
- Strong data engineering skills, including experience with SQL, Python, and big data platforms such as Hadoop or Spark.
- Proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or Keras.
- Demonstrated success in delivering complex data-driven projects from inception to completion.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work effectively in a fast-paced, agile environment.

**Desired**:

- Experience with Natural Language Processing (NLP) techniques and tools.
- Familiarity with cloud computing platforms, such as AWS, GCP, or Azure.
- Experience working with geographically dispersed teams.
- Prior experience in a startup or other early-stage business.

**What We Offer**:

- The opportunity to make a significant impact in a growing tech company, with strong financial backing and a commitment to sustainable growth.
- A supportive, people-first culture that values employee well-being and personal development.
- A flexible work environment that prioritizes performance and results over time spent at a desk.
- A variety of social events and team-building activities to foster camaraderie and collaboration.

TadaWeb is an equal opportunity employer, and we are committed to building a diverse and inclusive team that represents a variety of backgrounds, perspectives, and skills.

**Our Culture**:
At TadaWeb, our culture is built upon the core values of putting people first, embracing challenges, and maintaining a healthy work-life balance. We invest in creating a great workplace environment, offering a range of social events and professional development opportunities. Our leadership is dedicated to the principles of extreme ownership and servant leadership, empowering employees to take ownership of their work and supporting their growth.

Engineering