What are the responsibilities and job description for the Sr. Data Scientist position at GigaTech Services?
Job Title: Senior Data Scientist
Visa: Any
Location: Austin TX
Key Skills
Strong hands-on experience with Python
Advanced ML techniques: Regression, Classification, Clustering
Gen AI: Langchain; RAG (Retrieval-Augmented Generation); Advanced RAG – chunking, re-ranking, context optimization
Role Responsibilities
Proficiency in programming languages such as Python or R.
Visa: Any
Location: Austin TX
Key Skills
Strong hands-on experience with Python
Advanced ML techniques: Regression, Classification, Clustering
Gen AI: Langchain; RAG (Retrieval-Augmented Generation); Advanced RAG – chunking, re-ranking, context optimization
Role Responsibilities
- Develop and implement predictive models to enhance decision-making processes.
- Utilize advanced statistical techniques to analyze large datasets.
- Lead data-driven projects from conception to implementation, ensuring alignment with business objectives.
- Collaborate with cross-functional teams to identify and mitigate business challenges using data solutions.
- Design data experiments and A/B tests to drive insights and validate hypotheses.
- Create data visualizations that communicate findings effectively to stakeholders.
- Mentor junior data scientists and provide guidance on best practices in data analysis.
- Keep abreast of emerging technologies and methodologies in data science.
- Present complex data insights in a clear and compelling manner to non-technical audiences.
- Define metrics for success and develop reporting tools for monitoring performance.
- Ensure data quality and integrity by implementing data management practices.
- Utilize big data technologies and cloud platforms for processing and analyzing data.
- Work on machine learning algorithms to derive actionable insights from data.
- Collaborate with IT and engineering teams to integrate data solutions into existing systems.
- Drive innovation within the organization through data science initiatives.
Proficiency in programming languages such as Python or R.
- Extensive experience with machine learning frameworks and algorithms.
- Strong understanding of statistical modeling and data analysis techniques.
- Experience in big data technologies like Hadoop, Spark, etc.
- Solid experience in SQL and database management.
- Proven track record of successful data-driven projects.
- Exceptional analytical and problem-solving skills.
- Excellent communication skills, with the ability to explain complex topics to diverse audiences.
- Ability to work independently and collaboratively in a fast-paced environment.
- Keen attention to detail and a passion for data.
- Familiarity with cloud computing platforms (AWS, Azure, etc.) is a plus.
- Experience with data visualization tools (Tableau, Power BI, etc.) is advantageous.
- Knowledge of Agile methodologies is a bonus.