We are looking for a highly skilled Middle/Senior Data Scientist to join our team.
As a Data Scientist, you will be responsible for analyzing complex data sets, developing models and algorithms, and deriving actionable insights to drive business growth and decision-making. You will collaborate with cross-functional teams, including software engineers, analysts, and business stakeholders, to identify data-driven solutions and contribute to the development of innovative data products. The ideal candidate is a strong problem solver with a deep understanding of statistical modeling, machine learning techniques, and data manipulation.
Responsibilities:
- Collect, clean, and preprocess large and complex datasets from various sources
- Conduct exploratory data analysis to identify patterns, trends, and relationships
- Perform statistical analysis to extract meaningful insights from the data
- Develop predictive models, machine learning algorithms, and statistical models to solve business problems
- Utilize tools and techniques such as regression, classification, clustering, time series analysis, and natural language processing
- Implement and deploy models into production environments
- Present findings and insights in a clear and concise manner to both technical and non-technical stakeholders
- Create visualizations and dashboards to effectively communicate complex data-driven insights
- Collaborate with cross-functional teams to develop data-driven strategies and solutions
- Collaborate with teams to identify business challenges and formulate data-driven hypotheses
- Work closely with software engineers to integrate data science solutions into existing systems or applications
- Continuously explore and evaluate new tools, techniques, and data sources to improve analysis and model performance
- Ensure compliance with data protection and privacy regulations
- Maintain data integrity and security throughout the data lifecycle
- Adhere to ethical practices in handling sensitive data and maintaining confidentiality
Requirements:
- Bachelor’s or Master's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline
- Strong proficiency in programming languages such as Python
- Experience with data manipulation and analysis using libraries like NumPy or pandas
- Proficiency in machine learning techniques and libraries such as scikit-learn, TensorFlow or PyTorch
- Solid understanding of statistical concepts and hypothesis testing
- Experience with data visualization tools such as Tableau or Power BI
- Familiarity with big data processing frameworks like Hadoop or Spark is a plus
- Strong problem-solving and analytical thinking skills
- Excellent communication and presentation skills
- Ability to work independently and collaboratively in a team-oriented environment
- Strong attention to detail and ability to deliver high-quality work within deadlines
If you have the required skills and experience, please submit your application for consideration.