We are in search of an adaptable Algorithmic Bias Analyst to join our elite team at Abidi Solutions in Washington, DC.
Growing your career as a Full-Time Algorithmic Bias Analyst is a terrific opportunity to develop beneficial skills.
If you are strong in presentation, problem-solving and have the right initiative for the job, then apply for the position of Algorithmic Bias Analyst at Abidi Solutions today!
Job Title: Algorithmic Bias Analyst
Job Requirements:
- Educational Qualifications:
- Bachelor's degree in computer science, Data Science, Statistics, Mathematics, or a related field. A Master's or PhD is preferred.
- Minimum of 2-4 years of experience in data analysis, machine learning, or algorithm development.
- Previous experience in identifying and mitigating biases in algorithms or data sets is highly desirable.
- Proficiency in programming languages such as Python, R, or Java.
- Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or scikit-learn.
- Strong understanding of statistical methods and data analysis techniques.
- Deep understanding of machine learning algorithms, their strengths, and weaknesses.
- Knowledge of ethical considerations in AI and algorithmic decision-making.
- Awareness of different types of biases (e.g., racial, gender, cultural) and their impact on algorithmic outcomes.
- Ability to analyze large datasets to identify biases and patterns.
- Strong critical thinking and problem-solving skills.
- Excellent verbal and written communication skills.
- Ability to explain complex technical concepts to non-technical stakeholders.
- Experience in preparing and presenting findings to diverse audiences.
- Ability to work effectively in cross-functional teams.
- Collaborative mindset with a proactive approach to sharing knowledge and insights.
- Commitment to fairness, transparency, and ethical considerations in algorithmic decision-making.
- Ability to approach bias mitigation with a balanced and objective perspective.
- Willingness to stay updated with the latest research, trends, and best practices in algorithmic bias and fairness.
- Proactive attitude towards continuous learning and professional development.
- Problem-solving Attitude:
- Ability to identify potential biases, propose solutions, and implement strategies to mitigate them.
- Strong attention to detail and a systematic approach to problem-solving.
Candidates should demonstrate a strong passion for promoting fairness and equity in algorithmic systems, along with a solid technical foundation and analytical mindset.
Benefits of working as a Algorithmic Bias Analyst in Washington, DC:
● Opportunity to Make a Difference
● Room for Advancement
● Leading Industry Pay