Data Scientist

About Us

Redvike is a boutique software development agency. We are working with rapidly growing companies in real estate, education and banking. We help our partners to build their digital business from an idea to revenue generating products. As we grow, we are excited to welcome new members to our talented team that will help us in building new technological solutions.

Product details:

The product redefines the future of technology by harnessing the transformative power of artificial intelligence. As a cutting-edge AI solutions provider, its mission is to empower businesses to make smarter decisions, optimize operations, and unlock new avenues for growth through innovative, data-driven insights.

It specializes in developing scalable AI and machine learning solutions that integrate seamlessly into modern infrastructures. A dynamic team of experts is dedicated to pushing the boundaries of what’s possible, ensuring that clients stay ahead in an ever-evolving digital landscape. Innovation, collaboration, and excellence are at the core of every process.

 

Job Description:

We are looking for an experienced Data Scientist to join our growing team. This role is highly focused on Machine Learning (ML) tasks, including model development, feature engineering, and algorithm selection. You will work with large datasets, fine-tune models for domain-specific applications, and implement GenAIOps best practices for AI model operations.

This is an exciting opportunity to lead AI-driven initiatives, explore data to generate insights, and contribute to the development of one of the best AI-powered sales agents in the market.

Key Responsibilities:

• Analyze large datasets to identify trends and insights that improve product performance.
• Develop, train, and optimize ML models and algorithms for real-world applications.Define and build meaningful features that enhance model accuracy and relevance.
• Apply statistical methods such as A/B testing and hypothesis testing to validate results.
• Collaborate with engineering and product teams to deploy and maintain models in production.
• Monitor, evaluate, and continuously improve model performance.

• Communicate key findings and results in a clear, practical way to technical and non-technical stakeholders.

   

Required Qualifications:

• 3+ years of experience in data science or analytics, delivering ML-based solutions.
• Strong background in machine learning (model development, feature engineering, algorithm selection).
• Solid understanding of statistics and experimentation.
• Proficiency in Python (Pandas, NumPy, scikit-learn) and ML frameworks (PyTorch or TensorFlow).
• Experience with cloud platforms (AWS preferred) and deploying ML models at scale.
• Familiarity with SQL or data processing tools (Spark, etc.).

• Bonus: MSc/PhD in a related field, experience with big data tech, MLOps/GenAIOps, NLP, or computer vision.

   

What We Offer

• Impact: Work on innovative projects that push the boundaries of data-driven technology.
• Culture: Join a collaborative, inclusive environment where your ideas are valued.
• Growth: Opportunity for contract extension and long-term career advancement based on performance.
• Flexibility: Enjoy the benefits of a fully remote work setup while being part of a dynamic and supportive team.