KIANA AI is a leader in Software Consulting Services, dedicated to harnessing the power of data to drive innovation and deliver exceptional value to our clients. We are seeking a highly skilled and experienced Senior Data Scientist to join our team and lead complex data-driven projects.
Requirements
Job Description:
As a Senior Data Scientist, you will be responsible for developing advanced analytical models, leveraging machine learning techniques, and extracting actionable insights from large datasets. You will collaborate with cross-functional teams to solve challenging problems, improve decision-making processes, and contribute to the strategic direction of the company.
Key Responsibilities:
- Lead the design, development, and implementation of advanced machine learning models and algorithms.
- Analyze large and complex datasets to uncover trends, patterns, and insights.
- Collaborate with business stakeholders to understand requirements and translate them into data-driven solutions.
- Develop and maintain data pipelines and ETL processes to ensure data quality and availability.
- Perform exploratory data analysis, feature engineering, and model validation.
- Communicate findings and insights through clear and concise visualizations and presentations.
- Mentor junior data scientists and provide technical guidance to the team.
- Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
Qualifications:
- Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Proven experience (5+ years) as a Data Scientist, with a track record of successful projects.
- Strong proficiency in programming languages such as Python or R.
- Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and libraries.
- Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI).
- Solid understanding of statistical methods, data mining techniques, and predictive modeling.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.
Preferred Skills:
- Experience in a specific industry (e.g., finance, healthcare, retail) is a plus.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
- Knowledge of natural language processing (NLP) and deep learning techniques.
- Experience with A/B testing and experimental design.