Data Scientist

The Data Appeal Company is a high-tech company that transforms geo-spatial, sentiment and market data into compelling, valuable insights that are simple and accessible.

We are a dynamic and rapidly expanding company part of Almawave Group.

We are looking for a Data Scientist to join our AI Data Team, where you will develop end-to-end solutions to complex business problems using machine learning, statistics, and data analysis.

As part of our team, you will collaborate closely with system engineers, data scientists, front-end developers, and software engineers to design and implement scalable, high-performance AI-driven solutions.

Your Responsibilities:

• Design, develop, and evaluate innovative predictive models in collaboration with the data team.
• Work with LLM APIs to integrate large language models into data pipelines and applications.
• Benchmark and compare different LLMs in terms of accuracy, latency, and cost-performance trade-offs.
• Process and analyze large datasets using state-of-the-art machine learning technologies.
• Automate data processing workflows and ML model pipelines.
• Write reusable, efficient, and scalable code to improve AI-driven processes.

What We’re Looking For:

• 2 years of experience in a similar role.
• STEM degree (Engineering, Physics, Mathematics, Statistics);
• Strong knowledge of statistical testing & inference for KPI extraction from Big Data.
• Solid expertise in SQL and Python.
• Familiarity with data management and numerical computing libraries (Pandas, Dask, NumPy, SciPy, Spark, etc.).
• Experience with ML engines (Jupyter, Google Colab).
• Knowledge of Machine Learning frameworks (Scikit-learn, NLTK, spaCy).
• Hands-on experience in data preparation, feature extraction, and engineering.
• Proficiency in working with LLM APIs (OpenAI GPT, Claude, Mistral, Gemini, Cohere, etc.).
• Understanding of RESTful APIs, including authentication, rate limits, and response parsing.
• Experience with model selection and training, particularly transfer learning.
• A curious, problem-solving mindset and a passion for data science.

Nice-to-Have Skills:

• Knowledge of causal inference for spatial and time-series problems.
• Experience with geospatial analysis for location intelligence.
• Familiarity with transformer architectures like BERT (Hugging Face).
• Understanding of LLM deployment, latency optimization, and cost-efficient scaling strategies.
• Hands-on experience with deep learning frameworks (TensorFlow, Keras, PyTorch).
• Proficiency in Git and version control best practices.
• Experience with Agile methodologies.