Greetings From United Business Solutions Inc !!
Hello,
Hope all is well with you.
We have a job opening for a Python Engineer/ Data Scientist, location Bay Area, CA, Kindly check the job description below & let me know your interest.
Python Engineer / Data Scientist
Bay Area, CA (Remote to start)
Long term
W2 Contract
USC
KEY SKILLS: Client is looking for strong expertise in Python, SQL, Pandas, and NumPy and also worked with Github, Snowflake and/or AWS.
What you will do as a Data Scientist / Python Engineer:
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Build scalable, efficient, and high-performance software around our data analytics platform to help us expand its reporting and analytics capabilities.
- Interact with business users, development, and testing teams.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Respond quickly to bug fixes and enhancement requests and be able to take directions and complete tasks on-time with minimal supervision.
- Follow coding best practices: Unit testing, design/code reviews, code coverage, documentation etc.
You could be a great fit if you have:
- Strong problem solving skills with an emphasis on product development.
- Experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- Strong expertise in Python, SQL, Pandas, and NumPy
- Extensive experience with Data Warehousing, ETL Pipelines, large complex data sets, complex SQL queries.
- Worked with Github, Microsoft SQL Server, Snowflake, AWS.
- Been part of a distributed software engineering team.
- Some experience with big data technologies such as Kafka, Spark, and others.
- Desire to bring new and innovative solutions to the table to resolve challenging software issues as they may develop throughout the product lifecycle.
- Experience with Agile / Scrum development processes.
- Experience with RESTful APIs and server-side APIs integration.
- Worked with automated build tools, continuous integration using Jenkins CI/CD and others.
- Sound knowledge of repeatable automated processes for building, testing, documenting and deploying an application at scale.
- Expertise in operational data stores and real time data integration.
- Excellent communication and interpersonal skills, taking initiative to recommend and develop innovative solutions.
If you’re interested, please send me a reply with your updated resume to Stanly(@)ubsols.com
Contract length: 6-12 months
Job Types: Full-time, Contract
Pay: $50.00 - $60.00 per hour
Experience:
- Snowflake and/or AWS: 2 years (Required)
- Github: 2 years (Preferred)
- Data Scientist: 7 years (Preferred)
- Python Engineer: 7 years (Preferred)
- Python, SQL, Pandas, SQL,NumPy: 5 years (Required)
Education:
Work authorization:
Work Remotely:
- Temporarily due to COVID-19