Senior Data Scientist

Company Description

Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.

Job Description

Project – the aim you’ll have

Our client is an international investment firm that supports the most ambitious and talented entrepreneurs and high growth companies to achieve their goals. They invest in high growth, dynamic situation buyouts and growth capital investments. They are back exceptional entrepreneurs and management teams in companies creating sustainable high growth and strategic value.

Position – how you’ll contribute

You will be responsible for working on the client's internal platform, which is used for analyzing companies for potential future investments.

Our offer – professional development, personal growth

• Flexible employment and remote work
• International projects with leading global clients
• International business trips
• Non-corporate atmosphere
• Internal & external training
• Private healthcare and insurance
• Multisport card
• Well-being initiatives

Qualifications

Expectations – the experience you need

• Programming Languages: Python to advanced level, covering EDA, model training/testing, hyperparameter tuning etc.
• Frameworks: Must have expertise with standard frameworks/libraries such as scikit-learn and pandas. Proficiency with NLP libraries like NLTK, SpaCy, and scikit-learn.
• Databases: SQL expertise, and familiarity with MySQL, MongoDB, etc.
• NLP: Knowledge of NLP foundations, including vectorization methods. Application of pre-trained models such as BERT, and fine-tuning of such models.
• Machine learning foundations: Standard techniques in supervised learning, including ensemble methods for classification and regression.
• Communication: Clear and precise verbal and written communication.
• Autonomy: Completion of research projects with an NLP focus, requiring only periodic supervision. Self-directed solutions to tactical/intermediate problems.

Additional skills – the edge you have

• Infrastructure: Experience with at least one major cloud platform, ideally GCP. Familiarity with cloud services such as BigQuery is preferred.
• Front-end: Experience of visualization using interactive dashboards such as Streamlit or Dash. Basic understanding of front-end technologies (HTML, CSS, JavaScript) is a plus.
• Frontier NLP: Application of recent LLMs, including fine-tuning.
• Statistics: Expertise in classical statistical techniques, including significance testing.
• Domain-specific: Completion of finance-related projects using unstructured data, including topic classification.

Position at: Software Mind Poland