Create novel data driven solutions to identify and remove bad actors in financial and homeland security crimes.
Salary: $170,000 - $220,000 per year
A bit about us:
This boutique government consulting shop backed by a major financial services giant specializes in bleeding edge R&D projects to modernize federal law enforcement strategies to stop human trafficking, drug trafficking, and money laundering across the US.
Why join us?
- Maintain current TS/SCI with Full Scope Poly (FSP)
- No "bench", multiple active and long term contracts to work between, average tenure 5+ years
- Work on real applications of modern data science methodologies with real world impact at scale
- Competitive base pay $170-220k
- Comprehensive insurance for individuals and families with significant employer contribution
- PTO and paid holidays
- Opportunities for career growth
- Documented bonus and raise structure with historical payout
Job Details:
We are seeking a dynamic and experienced Data Scientist to join our team. This is a permanent role that will be instrumental in shaping our company's data strategy. You will be working with a high-energy team, using AI and advanced analytics to drive business growth and innovation. This role offers a unique opportunity to work on complex and challenging problems, using the latest techniques in machine learning and data science. You will be part of a collaborative team that values your insights, encourages testing and innovation, and believes in the significant impact of data science.
Responsibilities:
- Lead the development and implementation of advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data.
- Collaborate with stakeholders across the organization to identify opportunities for leveraging company data to drive business solutions.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Conduct research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
- Present findings and solutions to key stakeholders and influence strategic decisions.
- Develop company A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop and maintain robust data processing pipelines and data management systems.
Qualifications:
- Degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- Minimum of 3-5 years of experience in data science, machine learning, AI, or related field.
- Proven experience in manipulating data sets and building statistical models.
- Strong knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations.
- Proficiency in using query languages such as SQL, Hive, and Pig.
- Experience with distributed data/computing tools like MapReduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.
- Demonstrated ability to drive business results with data-based insights.
- Experience with data visualization tools, such as D3.js, GGplot, etc. is a plus.
- Coding knowledge and experience with several languages: Python, Java, C++, etc.
- Must be a critical thinker with a strong attention to detail and have the ability to work independently as well as collaboratively in a team environment.