Grazitti Interactive - Data Scientist

Job Description :

We are seeking a seasoned and highly analytical Data Scientist with 5-7 years of professional experience to join our dynamic data science team.

The ideal candidate will be a technical expert and a strategic thinker, capable of turning complex datasets into actionable insights and robust predictive models.

You will play a key role in the entire data science lifecycle, from problem definition and data exploration to model development, validation, and deployment.

Expertise in both traditional statistical modeling and modern deep learning techniques, including Generative AI, is highly valued.

Key Responsibilities :

Problem Solving & Strategy :

- Translate business needs into a clear, structured data science problem and define the project scope, objectives, and success metrics.

- Drive strategic initiatives by providing data-backed recommendations to senior leadership.

Data Analysis & Modeling :

- Develop, implement, and validate machine learning models (e.g., classification, regression, clustering, time series analysis) to solve complex business problems.

- Design and conduct experiments (A/B testing) to measure the impact of new features or models.

Generative AI & Advanced Techniques :

- Develop and implement strategies for prompt engineering, Retrieval Augmented Generation (RAG), and fine-tuning models to enhance performance and contextual relevance.

- Stay current with the latest research and trends in AI and machine learning, and assess their applicability to our business challenges.

Communication & Collaboration :

- Partner with Data Engineers to build scalable data pipelines and with MLOps Engineers to deploy models into production.

- Mentor junior data scientists and contribute to a culture of continuous learning and data literacy within the organization.

Code & Tooling :

- Utilize version control systems (e.g., Git) and collaborate effectively on shared codebases.

- Proficiency with relevant data science tools and platforms (e.g., SQL, cloud platforms like AWS, Azure, GCP).

Required Qualifications :

Education : Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.

Experience : 5-7 years of hands-on experience as a Data Scientist or in a similar role, with a strong portfolio of projects that have been successfully deployed and delivered measurable business value.

Technical Skills :

Programming : Expert proficiency in Python and its data science ecosystem (Pandas, NumPy, SciPy, Scikit-learn).

Machine Learning : Deep understanding of a wide range of ML algorithms and statistical modeling techniques.

Deep Learning : Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and an understanding of neural network architectures.

Generative AI : Practical experience with Large Language Models (LLMs), prompt engineering, and fine-tuning. Familiarity with other generative models is a plus.

Data Querying : Strong SQL skills are a must.

Problem-Solving : Proven ability to define and solve complex, ambiguous problems with an analytical and methodical approach.

Communication : Excellent written and verbal communication skills, with the ability to present complex technical concepts clearly and concisely to diverse audiences.

Preferred Qualifications (Bonus Points) :

- Proficiency with cloud-based data warehouses and services (e.g., Snowflake, BigQuery, Redshift, S3).

- Experience with distributed computing frameworks (e.g., Spark, Dask).

- Experience in [specific industry, e.g., FinTech, Healthcare, E-commerce, SaaS].

- Publications in peer-reviewed journals or major conferences.