Sr Data Science - NLP/Gen AI
Yalochat
Yalo
Hi! This is Yalo! We are on a mission to bring conversational commerce to the world...
Remember how it used to be to interact with businesses that knew and understood you, that could recommend exactly what you needed, and that with a simple message could get you what you wanted??? Yep... neither do we. That is why at Yalo we are marrying the scale of digital commerce with the personalization and simplicity of conversations to help companies delight their users.
We know that traditional SAAS companies focus on first world problems... we don't! Having started in Latin America, our roots are in Emerging Markets and therefore we care about bringing amazing experiences to a population that traditionally has been underserved, such as the small shop owner in Brazil that is ordering online for the first time.
If you're looking for a place to make things happen, learn fast, and impact emerging markets in a way that hasn't been done before, look no further. 💫
Come Join us in our mission of improving billions of lives through the power of conversational commerce!
Your mission 🚀
As a Senior Data Scientist, you will help us enhance our products and features by applying advanced statistical techniques, machine learning algorithms, and deep learning frameworks. You will be working closely with product, engineering and business teams to build, integrate and deliver successful algorithms to our state of the art SaaS platform.
What are the responsibilities for this role?
- Perform hands-on data analysis and modeling with big data, that includes conversational data, behavioral data, ecommerce, among others
- Prompt Engineering:
- Design and test prompts that effectively guide AI language models to generate accurate, relevant, and coherent responses.
- Analyze different prompting strategies and their outcomes to continually improve model interactions.
- Model-Tuning:
- Customize the model's responses for specific applications, ensuring they meet user requirements and business objectives.
- Collaborate with data scientists and engineers to fine-tune the model based on feedback and performance metrics.
- Quality Assurance:
- Conduct rigorous testing to identify any biases or inaccuracies in the model's responses.
- Implement strategies to mitigate any identified issues, ensuring ethical and responsible use of AI technology.
- User Experience Design:
- Work closely with UX designers to ensure that prompts and responses enhance user interaction with the AI model.
- Develop guidelines and best practices for prompt creation and model interaction.
- Documentation and Training:
- Create comprehensive documentation on prompt engineering and fine-tuning processes.
- Work side-by-side with product managers, software engineers, and designers to enhance our features and products through analytics
- Implement NLP solutions and work with different GenAI models.
- Run regular tests, gather data, perform statistical analysis, and draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
- Contribute to advancing NLP and its applications, to create highly innovative products and customer experiences, ranging from text understanding and classification to information extraction.
- Mentor other team members and continuously further the Data Science organization
- Guide design, architecture, tooling and processes at the organization leve
Job Requirements (Must have)
- BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, Economics, etc.).·
- 5+ Years of relevant experience in Data Science positions
- Strong knowledge of Python and deep learning frameworks (e.g., Tensorflow, PyTorch, scikit-learn, statsmodels, etc) and deep learning models (especially Recurrent Neural Networks and Transformers).
- Experience in NLP and LLMs and the ability to implement NLP techniques effectively.
- Experience in GenAI for NLP tasks, related frameworks (e.g., Langchain, LlamaIndex), and prompt engineering
- Strong experience in ML Modeling for Deep Learning, AI, NLP, and similar techniques
- Strong programming skills with Python.
- Knowledge of deploying machine learning models into production environments is a plus. (kubeflow, mlflow, airflow, etc.)
- Can explain topics in Data Science in a way that is understandable to stakeholders and non technical people.
- Excellent written and verbal communication skills.
- Demonstrated success working with small, collaborative cross-functional teams
- Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
Nice to have:
- Can work effectively working within an ambiguous ever changing environment.
- Passion for driving continual improvement initiatives across engineering standards.
- Exposure to Big Data Solutions
What do we offer?
- Unlimited PTO policy
- Competitive rewards on the market range
- Remote working is available (-+3 hours CT)
- Flexible time (driven by results)
- Start-up environment
- International teamwork
- You and nothing else limit your career here
We care,
We keep it simple,
We make it happen,
We strive for excellence.
At Yalo, we are dedicated to creating a workplace that embodies our core values: caring, initiative, excellence, and simplicity. We believe in the power of diversity and inclusivity, where everyone's unique perspectives, experiences, and talents contribute to our collective success. As we embrace and respect our differences, we strive to create something extraordinary for the benefit of all.
We are proud to be an Equal Opportunity Employer, providing equal opportunities to individuals regardless of race, color, religion, national or ethnic origin, gender, sexual orientation, gender identity or expression, age, disability, protected veteran status, or any other legally protected characteristic. Our commitment to fairness and equality is a fundamental pillar of our company.
At Yalo, we uphold a culture of excellence. We constantly challenge ourselves to go above and beyond, delivering remarkable results and driving innovation. We encourage each team member to take initiative and make things happen, empowering them to bring their best ideas forward and contribute to our shared goals.