What are the responsibilities and job description for the Data Scientist with Logistics / Shipping / Freight position at Sonata Software North America?
Job Details
Hi All,
Greetings from Sonata - Software Company!!
We are actively looking for a Data Scientist in Bay Area, CA / Reno, NV with our Direct Client. Please respond back with your updated resume.
Key Responsibilities:
- Analyzing data patterns and trends through statistical methods to understand the underlying relationships within the data
- Deep understanding of statistical modeling, machine learning algorithms, analytics concepts, and a track record of solving problems
- 5 years of experience with developing ML models
- Prior experience in ML modeling using TensorFlow, Pytorch
- Model Development: Develop and deploy machine learning algorithms & models using Python and relevant libraries/frameworks
- Data Preprocessing, Address missing data, outliers, and anomalies using Databricks robust data processing tools
- Feature Engineering Development
- Training Validation, Model Experimentation and Model Selection
- Hyper parameter tuning
- Presenting complex data insights through compelling visualizations like charts, graphs, and dashboards to effectively communicate findings to stakeholders
- Interpreting data insights and translating them into actionable business recommendations
Minimum Requirements:
Education:
- Bachelor s degree in computer science, Statistics, Mathematics, or related field.
Experience:
- Minimum of 3 years of experience in data science - centric roles with a strong focus on analytics, data science, and machine learning.
- Experience as Data Scientist in Freight / Logistics Industry is must.
Technical Skills:
- Proficiency in Python, SQL, or PySpark with strong programming skills
- Strong understanding of machine learning algorithms, model evaluation, and optimization techniques
- Proven track record of developing and deploying models in Production
Analytical Skills:
- Robust analytical and problem-solving skills with a solid foundation in statistical methods.
- Expertise in translating business issues into data-driven solutions using Databricks.
Thanks
Gobinath
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