Data Scientist

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Didati is on a mission to develop products and services for our customers around the world to maximize their data. We believe enabling data starts with foundational data strategy, data architecture, data science and engineering and the practice and discipline to scale and to drive meaningful customer and business impact. 

Do you thrive on analyzing and applying machine learning (ML) to solve real-world problems and build intelligent systems? Are you passionate about leveraging data to drive innovation and create impactful solutions?

If so, we invite you to explore this exciting opportunity to join our team as a Data Scientist at Didati. We are seeking a talented and motivated individual with a strong foundation in analytics, visualization, and ML principles and proven experience in developing complex ML models.

In this role, you will:

 - Work closely with our customers to help visualize and understand what the data is telling them.

 - Design, train, and optimize ML models: Utilize various ML techniques and tools to build, train, and evaluate high-performing models on diverse datasets. Fine-tune models for optimal performance and ensure generalizability.

 - Collaborate with cross-functional teams: Work closely with machine learning engineers, software engineers, and product managers to translate business requirements into technical solutions.

 - Stay current with the latest advancements: Continuously learn and explore new ML techniques and tools to ensure you are at the forefront of the field.

To be successful in this role, you should have:

• 3+ years of experience as a data scientist or a related field
• Bachelor’s Degree in Computer Science, Data Science or Machine Learning related field
• Strong understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and large language models
• Familiarity with common ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Experience with data preprocessing, feature engineering, and model evaluation
• Proficiency in programming languages (i.e., Python)
• Deep working with ML and data-driven environments and related technologies (i.e. Databricks, Vertex AI)
• Deep experience with SQL, NoSQL databases (i.e., MySQL, MongoDB, BigQuery)
• Good working knowledge of Cloud environments (i.e., AWS, GCP)
• Understanding of container and container orchestration (i.e., Kubernetes, Docker)
• Excellent problem-solving, debugging and analytical skills
• Strong communication and collaboration skills
• A passion for learning and staying up-to-date with the latest advancements in Data and ML

We offer a competitive compensation and a salary range of $110K-$130K, along with a stimulating and growth-oriented environment where you can make a real impact. 

If you are a highly motivated and skilled data scientist who is eager to apply your expertise to solve challenging problems, we encourage you to apply. Join our team and help us shape the future with intelligent solutions. Please apply today!