Description
In this role, you will play a crucial part in creating data-driven solutions that address real-world business challenges. Collaborating with customers, you will conduct advanced data analytics and build predictive models that drive innovation through machine learning and artificial intelligence. Your efforts will support customers in making well-informed, data-driven decisions by developing prototypes and scalable production solutions.
Key Responsibilities
- Mentorship & Growth: Mentor team members and lead by example, nurturing skills in machine learning and AI.
- Customer Engagement: Advise clients on the benefits and risks of AI, helping them integrate AI solutions into their workflows.
- Model Building: Create custom algorithms and predictive models from scratch.
- Data Optimization: Combine and optimize noisy data from various sources to develop and maintain machine learning algorithms.
- Collaboration: Work closely with stakeholders to comprehend business challenges and deliver actionable insights through reports or visualizations.
- A/B Testing & Analysis: Evaluate results from growth programs and tests to provide data-driven recommendations.
- Data Quality Assurance: Ensure data accuracy and quality by monitoring and coordinating with relevant teams.
- Trend Research: Stay informed about industry trends and provide solutions aligned with customer needs.
Skills & Qualifications
- Experience: A minimum of 8 years in data analytics and modeling.
- Technical Proficiency: Expertise in Python, machine learning tools (Hadoop, TensorFlow, Apache Spark), and deep learning frameworks.
- Database Expertise: Proficiency in relational, key-value, and document databases.
- Visualization Tools: Familiarity with D3 Dash, Tableau, ggplot, or similar tools.
- Cloud Computing: Proficient in cloud platforms including AWS, Azure, Databricks, and GCP.
- Agile Work Environment: Ability to thrive in an agile team setting.
- Clearance: Capability to obtain Public Trust clearance (active clearance preferred).
Preferred
- A BS in Computer Science, Data Science, or a related field.
- Understanding of full-stack development and software architecture.
Benefits
- Flexible schedules.
- Competitive medical, dental, and vision coverage.
- 401(k) plan with matching contributions.
- Paid family leave (FMLA).
- Tech, education, and wellness allowances.
Salary Range
Ranges based on location, starting from \(90,015 for AL/FL/GA/TN residents up to \)181,143 for CA/NY residents.
Location
100% Remote.
Next Steps
Fearless Digital values a thorough interview process to ensure a mutual fit. If you are passionate about data science and eager to tackle meaningful challenges, we encourage you to apply!
Employment Type: Full-Time