About the Role
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.
About the Company
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