Data Scientist (AI, Sweden)

About the project: a cutting-edge AI solutions provider, our mission is to empower businesses to make smarter decisions, optimize operations, and unlock new avenues for growth through innovative, data-driven insights. We specialize in developing scalable AI and machine learning solutions that integrate seamlessly into modern infrastructures. Our dynamic team of experts is dedicated to pushing the boundaries of what’s possible, ensuring that our clients stay ahead in an ever-evolving digital landscape. Innovation, collaboration, and excellence are at the core of everything we do.

Employment Type: Remote Contract-based for an initial period of three months with the possibility of extension based on project needs and performance.

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.

Requirements:

- 3+ years of experience in data science, analytics, or a related field, with a proven record of delivering robust ML solutions.

- Strong focus on Machine Learning (model development, feature engineering, algorithm selection).

- Solid background in Statistics & Mathematics (probability, A/B testing, hypothesis testing).

- Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn) and ML frameworks (PyTorch, TensorFlow).

- Cloud & Model Deployment: Experience working with cloud platforms (AWS preferred) and deploying ML models at scale.

- Data Processing: Familiarity with SQL, Spark, or other data processing tools (nice to have).

Key Responsibilities: 

Exploratory Data Analysis (EDA)

Analyze and extract insights from large datasets collected from customers.

Identify trends and patterns that inform business strategies and model improvements.

Feature Engineering & Model Development

Lead feature engineering efforts to define the characteristics of top-performing salespeople and integrate them into our AI-driven sales agent.

Design, develop, and optimize predictive models and machine learning algorithms.

Fine-tune base models to create domain-specific expert models that improve performance and adaptability.

MLOps (GenAIOps) & Model Deployment

Lead the implementation of best practices in GenAIOps to optimize AI application performance, scalability, and reliability.

Work closely with DevOps teams to deploy and maintain models in a cloud environment (AWS preferred).

Continuously monitor and improve model performance based on feedback and evolving business needs.

Statistical Analysis & Experimentation

Apply probability, A/B testing, and hypothesis testing to validate models and features.

Design experiments to measure the effectiveness of AI-driven sales strategies.

Collaboration & Communication

Work closely with product managers, software engineers, and domain experts to integrate ML models into production.

Communicate insights and model results through clear visualizations and reports for non-technical stakeholders.

Qualifications:

- MSc or PhD in Data Science, Computer Science, Statistics, or a related field.

- Experience with big data technologies (Spark, Hadoop) and SQL/NoSQL databases.

- Prior exposure to MLOps/GenAIOps practices for continuous integration and deployment of ML models.

- Background in natural language processing (NLP) or computer vision is a plus.

- Previous experience in agile environments and end-to-end AI product development.

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

- 20 days of PTO.