Senior Data Scientist

Senior Data Scientist

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Job Category : Science

Time Type : Full time

Minimum Clearance Required to Start : Secret

Employee Type : Regular

Percentage of Travel Required : Up to 10%

Type of Travel : Local

The Opportunity :

The CACI team is looking to add a Senior Data Scientist to their growing software development contract with the Department of State in Rosslyn, VA.

The role will support complex and scalable data analytic service and data lake projects that provide business intelligence, analysis, and dashboard reporting to our customer’s mission.

The Senior Data Scientist will work with stakeholders to leverage data to drive business value. In addition, they are responsible for mining and analyzing data to drive efficiency and optimization, developing custom data models and algorithms, and developing processes and tools to monitor production systems and data accuracy.

Responsibilities :

• The ability to develop and deploy the pipelines and platforms that make data meaningful.
• Follow the analytical requirements and support Chief Data Officer’s methodologies to leverage data and analytical models to drive business value.
• Present ideas and recommendations on data handling and data parsing technologies to management.
• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.

Qualifications : Required :

Required :

• Active Secret clearance is required.
• Master's in a technical discipline plus three (3) years of experience; or Bachelor's in a technical field plus seven (7) years of experience.
• 5+ years of experience in application development including Python / R, SQL, or Java.
• 3 years of development experience in Python for data processing and analysis.
• 2+ years of experience with Azure cloud.
• Strong math and applied statistical skills and good knowledge of machine learning methods.
• Proficiency in data wrangling and handling imperfection and heterogenous data input sources.
• Experience developing best practices on designing components of the data model for a functional area of a project.
• Soft skills including but not limited to excellent problem-solving aptitude, detail orientation, analytical mind, and great business sense.
• Excellent communication and skills (verbal and written).

Desired :

Knowledge of ETL processes using SQL and / or other analytical tools such as Azure Analytics and Synapse Analytics as well as Microsoft Purview, to efficiently import structured, semi-structured, and unstructured data from new and / or dynamic data sources, ensuring data validity, reliability and data governing.

What You Can Expect :

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose to ensure the safety of our nation.

An environment of trust.

CACI takes pride in fostering a diverse and accessible culture where every individual feels supported to chart their own path.

You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground in your career and in our legacy.

Your potential is limitless. So is ours.

Learn more about CACI here.

Pay Range : The proposed salary range for this position is : $119,800 - $263,600.

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications.

CACI is an Equal Opportunity / Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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