Data Science (Snowflake) at Allata

Job Description

Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices.

Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships.

We are looking for a Data Scientist (Snowflake) to help our client unlock the full potential of their data and drive business growth. In this role, you will design and implement data science models and analytics solutions leveraging Snowflake, helping stakeholders make smarter decisions and gain actionable insights. You will play a key role in transforming raw data into strategic value, supporting the client’s journey toward a more intelligent and data-driven organization.

Role & Responsibilities:

Develop and deploy data science models and machine learning solutions using data hosted in Snowflake.

Leverage Snowflake’s advanced features to create scalable, efficient pipelines for model training and inference.

Collaborate with cross-functional teams to understand business needs and translate them into data science use cases.

Perform exploratory data analysis (EDA), feature engineering, and statistical analysis to uncover trends and patterns.

Ensure data quality, integrity, and governance within Snowflake for analytical applications.

Maintain clear, comprehensive documentation of data science workflows, modeling approaches, and outcomes.

Work closely with DevOps and Data Engineering teams to integrate ML models into production using CI/CD pipelines.

Hard Skills – Must have:

Proven experience as a Data Scientist, with hands-on work in Snowflake environments.

Proficiency in SQL for data extraction, transformation, and feature generation in Snowflake.

Experience building and validating predictive models using Python (e.g., scikit-learn, pandas, NumPy).

Solid understanding of statistics, machine learning techniques, and data mining.

Experience in cloud-based environments (e.g., AWS, Azure, or GCP).

Familiarity with Agile methodologies and SDLC practices

Hard Skills – Nice to have / It's a plus:

Experience deploying models into production with MLflow, Airflow, or similar tools.

Knowledge of Power BI or other BI tools for model explainability and visualization.

Familiarity with CI/CD processes and DevOps practices for data science projects.

Experience working with ERP data sources such as SAP for advanced analytics use cases.

Soft Skills / Business Specific Skills:

Proactive, analytical mindset with strong problem-solving and critical thinking abilities.

Self-motivated, organized, and detail-oriented in managing complex datasets and models.

At Allata, we value differences.

Allata is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Allata makes employment decisions without regard to race, color, creed, religion, age, ancestry, national origin, veteran status, sex, sexual orientation, gender, gender identity, gender expression, marital status, disability or any other legally protected category.

This policy applies to all terms and conditions of employment, including but not limited to, recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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