Data Science Practitioner

About the role

Accenture Federal Services is seeking a Data Scientist/AI Specialist to join our innovative team. The role involves developing and implementing data-driven solutions, conducting statistical analyses, designing machine learning models, and performing data wrangling.

Responsibilities

• Develop and implement data-driven solutions using programming languages such as Python and R
• Conduct statistical analyses, including regression, hypothesis testing, and distribution analysis
• Design and train machine learning models using frameworks like TensorFlow and Scikit-Learn for predictive analytics and automation
• Perform data wrangling to clean and organize raw datasets, making them ready for meaningful analysis
• Collaborate with cross-functional teams to understand business needs and deliver actionable insights

Requirements

• Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science)
• 4 years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics (can be substituted for a Bachelor's degree)
• PhD from an accredited college or university in a quantitative discipline (can be substituted for 4 years of experience)
• 14 years of experience in software engineering in similar programs and contracts
• 5 years of experience programming with data analysis software such as R, Python, SAS, or MATLAB
• Bonus points for familiarity with libraries like NumPy, pandas, and advanced visualization tools
• Experience analyzing datasets and developing analytics
• Experience in creating impactful data visualizations and reports for stakeholders
• Ability to work independently and in a collaborative team environment
• Strong foundation in statistics and probability, including regression analysis and hypothesis testing
• Hands-on experience with machine learning frameworks such as TensorFlow and Scikit-Learn
• Expertise in data wrangling to prepare raw data for analysis
• Excellent problem-solving and analytical skills

Qualifications

• Security Clearance: Must have an active TS/SCI with polygraph level clearance

Skills

• Familiarity with libraries like NumPy, pandas, and advanced visualization tools
• Experience analyzing datasets and developing analytics
• Experience in creating impactful data visualizations and reports for stakeholders
• Ability to work independently and in a collaborative team environment
• Strong foundation in statistics and probability, including regression analysis and hypothesis testing
• Hands-on experience with machine learning frameworks such as TensorFlow and Scikit-Learn
• Expertise in data wrangling to prepare raw data for analysis
• Excellent problem-solving and analytical skills

Benefits

We offer a wide variety of benefits including:

• Reasonable ranges of compensation based on labor costs in various locations
• Comprehensive health and wellness programs
• Flexible work arrangements
• Professional development opportunities
• Community involvement initiatives

Pay

The base pay range for this position in the specified locations is $120,500—$221,800 USD.

Schedule

Details on the schedule are not specified in the job posting.

Skills

Skills mentioned include programming, statistical analysis, machine learning, and data preparation.

Benefits

Details on benefits are provided in the job posting.

Pay

Details on pay are provided in the job posting.

Schedule

Details on the schedule are not specified in the job posting.