Job Type
Full Time
Workspace
On-Site
Employer Overview
This position is part of our continuous recruitment program. That means we have multiple clients regularly seeking specialists for this or very similar positions. Our clients are companies located in the EEA, ranging from startups to legacy-brand corporations. We partner only with clients who are committed to a healthy work-life balance and offer competitive compensation.
Position Overview
We are seeking a talented Data Scientist to join our client's dynamic team. As a Data Scientist, you will play a key role in analyzing complex datasets, developing predictive models, and generating actionable insights to drive business strategies and initiatives.
Responsibilities
Collaborate with stakeholders to understand business objectives, define project requirements, and identify data sources.
Collect, clean, and preprocess large datasets from diverse sources to ensure data quality and integrity.
Perform exploratory data analysis (EDA) and statistical analysis to uncover patterns, trends, and correlations in the data.
Develop and implement machine learning algorithms, predictive models, and data-driven solutions to solve business problems and optimize processes.
Conduct hypothesis testing, A/B testing, and model validation to evaluate model performance and accuracy.
Create data visualizations, dashboards, and reports to communicate findings and insights to stakeholders.
Collaborate with data engineers and IT teams to deploy models into production systems and integrate data pipelines.
Stay updated with the latest data science techniques, tools, and technologies to drive innovation and continuous improvement.
Qualifications
Master's or Ph.D. degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Advanced certifications (e.g., Certified Analytics Professional, Machine Learning Engineer) are a plus.
3 years of experience in data science, machine learning, predictive modeling, or a related role, with a strong background in statistical analysis and programming.
Proficiency in programming languages such as Python, R, or SQL, and experience with data manipulation and visualization libraries (e.g., pandas, matplotlib, seaborn).
Hands-on experience with machine learning algorithms, techniques (e.g., supervised learning, unsupervised learning, deep learning), and model evaluation methods.
Knowledge of data mining, natural language processing (NLP), and big data technologies (e.g., Hadoop, Spark) is desirable.
Strong analytical, problem-solving, and critical thinking skills, with the ability to work both independently and collaboratively in a team environment.
Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
Typical Perks
Competitive salary package with performance-based bonuses
Flexible work hours and the option for remote work
Professional development opportunities, including training programs and certifications
Collaborative and innovative work environment with modern tools and technologies
Health and wellness benefits, including fitness memberships and wellness programs
Opportunities for career growth and advancement within the company