Data Scientist positions are available at our website for individuals with the right competence and experience. Our website hires competent tech consultants in various roles including Data Scientist. The ideal applicant should possess the following technical skills:
- Python programming language
- Machine Learning
- Artificial Intelligence
- Knowledge of SQL
- Big data
- Predictive modeling
- Data mining
- Statistical modeling
Responsibilities:
- Collecting and analyzing complex data in order to draw valid conclusions and provide insight
- Processing large and complex data sets to draw insightful conclusions that support business decisions through predictive modeling and interactive visualization tools.
- Developing visualizations to communicate statistical findings to business stakeholders.
- Building machine learning models to optimize business processes and improve predictions.
- Collaborating with team members in order to design and build scalable data products
- Working with stakeholders on defining business needs and translating them into data-related projects.
- Understanding and interpreting data in order to develop meaningful insights for business stakeholders.
- Conducting statistical analysis and generating predictive models that support decision-making across the company.
- Designing experiments in order to test hypotheses and make causal inferences
- Implementing database systems for efficient data storage, management and processing
Requirements:
- Minimum of a Bachelor's degree in a data-centric field of study
- At least 3 years of relevant experience working as a data scientist
- In-depth knowledge of Python programming and other programming languages commonly used in data analysis and machine learning.
- Experience developing machine learning models and other data mining algorithms.
- Experience working with large datasets and distributed computing using SQL and Big Data technologies.
- Excellent communication skills with the ability to simplify complex topics to non-technical stakeholders.
- Experience with data visualization tools and techniques.
- Experience with statistical software such as R or SAS.
- Familiarity with applying AI methods to solve business problems.
- Experience working with predictive modeling techniques such as supervised and unsupervised learning, regression, and decision trees.