Requirements: English
Company: Link Group
Region: remote, poland ,
At Link Group, we specialize in building tech teams for Fortune 500 companies and some of the world''s most exciting startups. Our mission is to connect talented professionals with opportunities that align with their skills, interests, and career aspirations.
We are currently looking for a Data Scientist to join our team and work on innovative, data-driven projects for global clients.
About the Project
The project involves leveraging advanced data analytics and machine learning techniques to generate insights and predictions for the finance/stock exchange industry. You will work on developing predictive models, data pipelines, and decision-making tools to improve financial performance and drive innovation.
Tech Stack
- Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
- SQL/NoSQL databases
- Big Data technologies (Hadoop, Spark)
- Data visualization tools (Tableau, Power BI, Matplotlib, Seaborn)
- Cloud platforms (AWS, Azure, GCP)
- Version control tools (Git)
What We Offer
- Tailored opportunities to match your professional interests and goals.
- A leadership role in a dynamic and collaborative work environment.
- Access to exciting and diverse projects for global clients.
- Competitive compensation aligned with your expertise.
- Ongoing opportunities for professional growth and development.
If you''re ready to take on a leadership role and work on groundbreaking projects in the IT industry, we''d love to hear from you!
Apply today and join us at Link Group to make an impact!
Must-Have Qualifications
- At least 3+ years of experience in data science or a related field.
- Strong proficiency in Python and data analysis libraries (e.g., Pandas, NumPy).
- Solid understanding of machine learning techniques and algorithms.
- Experience with SQL/NoSQL databases for querying and managing data.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Knowledge of version control tools like Git.
- Strong problem-solving and critical-thinking skills.
- Good command of English.
Nice to Have
- Experience with Big Data technologies like Hadoop or Spark.
- Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Understanding of statistical modeling and A/B testing.
- Academic background in Computer Science, Mathematics, Statistics, or a related field.
At Link Group, we specialize in building tech teams for Fortune 500 companies and some of the world''s most exciting startups. Our mission is to connect talented professionals with opportunities that align with their skills, interests, and career aspirations.
We are currently looking for a Data Scientist to join our team and work on innovative, data-driven projects for global clients.
About the Project
The project involves leveraging advanced data analytics and machine learning techniques to generate insights and predictions for the finance/stock exchange industry. You will work on developing predictive models, data pipelines, and decision-making tools to improve financial performance and drive innovation.
Tech Stack
- Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
- SQL/NoSQL databases
- Big Data technologies (Hadoop, Spark)
- Data visualization tools (Tableau, Power BI, Matplotlib, Seaborn)
- Cloud platforms (AWS, Azure, GCP)
- Version control tools (Git)
What We Offer
- Tailored opportunities to match your professional interests and goals.
- A leadership role in a dynamic and collaborative work environment.
- Access to exciting and diverse projects for global clients.
- Competitive compensation aligned with your expertise.
- Ongoing opportunities for professional growth and development.
If you''re ready to take on a leadership role and work on groundbreaking projects in the IT industry, we''d love to hear from you!
Apply today and join us at Link Group to make an impact!
,[Analyze large, complex datasets to identify trends, patterns, and actionable insights., Develop predictive models and machine learning algorithms to solve business problems., Design and implement data pipelines for preprocessing and transforming raw d