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Quantitative Data Analyst
2 months ago
Position: Data Scientist
Location: Dallas, TX (Onsite)
Contract Duration: 6 Months with potential for full-time hire
Key Responsibilities
• Utilize sophisticated statistical methodologies to address business challenges, including regression analysis, decision trees, neural networks, and time series analysis.
• Develop comprehensive experimental and analytical frameworks for data modeling, ensuring robust baselines and accurate causal inference.
• Construct and implement data pipelines, analytical tools, and decision support frameworks.
• Innovatively identify and explore predictive analytics opportunities to enhance business value.
• Integrate Generative AI technologies to optimize data analysis and modeling processes.
• Establish and assess key performance indicators, gaining insights into their drivers.
• Take ownership of designing, developing, and maintaining dashboards and visualizations.
• Strategize to ensure analyses are repeatable and easily accessible.
• Proactively seek to acquire knowledge in emerging technologies and methodologies.
• Effectively communicate complex technical concepts to non-technical stakeholders, translating findings into understandable narratives.
Required Qualifications & Skills
• Bachelor’s degree in a quantitative discipline; Master’s degree preferred, along with a minimum of 2 years of relevant experience.
• Strong grasp of analytical techniques and statistical principles.
• Proficient in writing clear and efficient code, particularly in Python or R.
• Experience in crafting and optimizing SQL queries.
• Skilled in conducting thorough exploratory data analysis.
• Ability to collaborate with cross-functional teams, demonstrating strong written and verbal communication skills.
• Proven ability to navigate ambiguity, prioritize tasks, and deliver results in a fast-paced environment.
• Initiative in problem-solving and completing assignments within reasonable timeframes.
• Excellent communication skills, both written and verbal.
• Positive and proactive attitude.
Preferred Qualifications & Skills
• Familiarity with Warranty Analytics and/or Diesel Engine analytics is advantageous.
• Experience in model development using frameworks such as Scikit-learn, TensorFlow, or Transformer.
• Programming skills in Python, C#, or Java.
• Knowledge of non-relational database systems.
• Experience working with cloud platforms, preferably AWS.
