What are the responsibilities and job description for the Data Scientist Senior position at Dice?
Job Title : Data Scientist Senior
Location : McLean, VA (Hybrid)
Duration : 6 Months (CTH)
NOTE : Looking for W2 profiles (USC) only
Overview
On Site
Contract - W2
Contract - 8 day(s)
Skills
Java
Data Scientist
Scala
GraphQL
Python
Our Impact :
We build various data governance solutions which run as a cohesive unit within the overall data platform strategy.
We bring pioneering technology to bear on business challenges to delight and excite our customers.
We collaborate with other IT teams to advance our technical capabilities.
We live to automate and optimize processes and technologies.
Your Impact :
As a Senior Data Engineer, you are expected to work under limited direction and independently determine and develop approaches to solutions. Understand requirements and design for the build and deployment.
Scrum / agile based development and maintain efficient data pipelines and ETL process for large-scale data integration.
Collaborate with data analysts and other engineers to define data needs and build solutions that drive business insights.
Develop, test, and deploy code for data extraction, transformation, and loading processes (ETL / ELT).
Develop and maintain automated test scripts using Pytest to ensure high-quality software releases.
You will be a mentor and bring up-to-speed junior resources and consultants on technologies / products that the team works on and represent and demonstrate your team's work to customers.
Will demonstrate your coaching and mentoring skills to help teams continuously grow and improve in delivering high-quality software solutions.
Support line of business areas with more advanced statistical and quantitative analysis. Ability to run models, look for exceptions and take corrective actions where necessary.
Use technology tools to conduct analysis; apply techniques such as SQL querying and macro development to extract data for populating models.
Release Support : Work closely with internal / external teams to help with the release process, ensuring smooth and error-free releases to production.
Interact directly with customers to gather feedback, troubleshoot issues, and ensure that the product meets their expectations.
Qualifications :
Bachelor's degree in computer science or related discipline; advanced studies / degree preferred.
5-7 years of experience in data engineering with strong proficiency in Python programming language (Nice to have : Scala, Java).
Strong proficiency in Spark SQL, SQL, Gremlin, GraphQL, and database management (Snowflake cloud-based warehousing).
Strong experience with data processing frameworks, DataFrames, Apache Spark, Graph DBs.
Experience with cloud platform AWS (EMR, EKS, Lambda).
Experience writing statistical and / or optimization programs to develop models and algorithms.
Programming languages may include - but are not limited to - Python, R.
Solid understanding of SDLC practices including development, testing, and release management.
Experience with version control systems such as Git, BitBucket.
Experience with RESTful API design and development.
Familiarity with PySpark for large-scale data processing and analysis.
Keys to Success in this Role :
Ability to use data to help inform strategy and direction.
Ability to translate complex statistical models and methodologies into simple business terms.
Help with Pytests, testing frameworks, SDLC expertise.
Help with data modeling, data engineering efforts, proper Python expertise.
Interact with customers and stay on top of issues, understand our platform, and debug issues.
Help with Talend, Control-M, APIs.
Hands-on help with our team release, customer release, etc.
Pyspark, Spark, SQL knowledge.
Strong leadership, planning, and communication skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions. AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Keep a pulse on the job market with advanced job matching technology.
If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution.
Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right.
Surveys & Data Sets
What is the career path for a Data Scientist Senior?
Sign up to receive alerts about other jobs on the Data Scientist Senior career path by checking the boxes next to the positions that interest you.
