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Castellum IncWashington, District Of Columbia, United States
10 days ago
Job type
Full-time
Job description
Salary: $140,000 - 160,000 per year
Requirements:
5-7 years of experience in data manipulation and statistical model development.
Masters or PhD in Statistics, Mathematics, Computer Science, or a related quantitative discipline.
TS/SCI Level Security Clearance.
Proficient in statistical programming languages such as R, Python, and SQL.
Familiarity with data architecture creation and management.
Knowledge of various machine learning techniques like clustering, decision trees, and neural networks.
Strong coding skills in multiple programming languages including C, C++, Java, and JavaScript.
Experience with statistical and data mining methods such as regression and text mining.
Ability to evaluate third-party data sources like Google Analytics and Facebook Insights.
Proficiency in distributed computing tools including Hadoop and Spark.
Experience in data visualization tools like Periscope and ggplot.
Responsibilities:
Collaborate with various departments to identify how to utilize company data to enhance business solutions.
Analyze and mine data from company databases to improve product development and marketing strategies.
Evaluate the reliability and effectiveness of new data sources and collection methods.
Create custom data models and algorithms applicable to data sets.
Apply predictive modeling techniques to optimize customer experience and revenue generation.
Establish frameworks for A/B testing and assess model quality.
Work alongside different teams to implement models and monitor their results.
Develop processes and tools to oversee model performance and ensure data accuracy.
Technologies:
Hadoop
Java
JavaScript
Machine Learning
Marketing
Python
SQL
Security
Spark
Redshift
D3
Hive
Support
MySQL
Network
Web
More:
At Corvus Consulting, LLC, we are seeking a mid-level Data Scientist to join our dedicated team based in the National Capital Region (NCR). In this role, you will work closely with diverse stakeholders, including product, sales, leadership, and marketing teams, to glean actionable insights from extensive datasets. We value innovation and a passion for finding solutions within complex information. This position is contingent upon contract award and funding, including final salary and compensation details.