Randstad Federal is seeking a Data Scientist to support a program at DEA
location: BELTSVILLE, Maryland
job type: Contract
salary: $80 - 90 per hour
work hours: 8am to 4pm
education: Bachelors
responsibilities:
Summary: The ideal candidate is a highly skilled professional who uses their expertise in data analysis, statistical modeling, and machine learning to extract insights and solve complex problems.
Responsibilities:
Data Analysis and Modeling:
- Collect, clean, and preprocess large datasets from various sources.
- Apply statistical techniques and data mining algorithms to analyze data and identify patterns, trends, and relationships.
- Develop and implement predictive models, machine learning algorithms, and statistical models to solve business problems and generate actionable insights.
Machine Learning and AI:
- Design and develop machine learning models and algorithms to solve specific business challenges.
- Train, validate, and optimize models using appropriate techniques such as cross-validation and hyperparameter tuning.
- Deploy models into production environments and monitor their performance.
Data Visualization and Reporting:
- Communicate complex data analysis results and insights to non-technical stakeholders through clear and visually appealing data visualizations, reports, and presentations.
- Collaborate with cross-functional teams to understand their data needs and provide data-driven recommendations.
Data Exploration and Feature Engineering:
- Conduct exploratory data analysis to understand the characteristics and quality of the data.
- Identify and engineer relevant features from raw data to improve model performance and accuracy.
Collaboration and Communication:
- Collaborate with data engineers, software developers, and domain experts to gather requirements, define data needs, and implement data-driven solutions.
- Communicate findings, methodologies, and insights to both technical and non-technical audiences effectively.
Requirements:
- strong knowledge of statistical analysis, machine learning algorithms, and data modeling techniques.
- Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
- Experience with data visualization tools (e.g., Tableau, matplotlib, ggplot) to effectively communicate insights.
- Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is desirable.
- strong problem-solving skills, critical thinking, and the ability to work on complex projects independently.
- Excellent communication and presentation skills to convey complex concepts to both technical and non-technical stakeholders.
- Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or related disciplines. A Ph.D. is a plus. (4 years' experience is the equivalent to a bachelor's degree, 8 years is equivalent to a Master's)
- 5+ years of relevant work experience in data analytics.
qualifications:
- Experience level: Experienced
- Minimum 5 years of experience
- Education: Bachelors
skills:
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
