Sr. Data Scientist
$113,000–$148,050 year
On-siteRichardson, Texas, United States
Job Summary
Develop and deploy machine learning models and predictive analytics solutions to solve complex business problems across Sales, Marketing, Engineering, Supply Chain, and Finance datasets. Build custom algorithms using statistical techniques and advanced analytics to uncover actionable insights and trends from large, complex datasets. Partner with stakeholders to translate business objectives into data-driven solutions, presenting findings through clear visualizations to both technical and non-technical audiences. Collaborate with cross-functional teams to implement models, monitor data quality and performance, and develop improved analytics workflows. Foster a collaborative environment through knowledge sharing and mentoring while promoting continuous improvement initiatives.
Required Qualifications
- Bachelor's degree in computer science, Data Science, Analytics, Statistics, Business, Information Science, or a related field
- 5+ years of experience in data science, analytics, machine learning, or a related discipline
- Master's degree in a related field
- 3+ years of relevant experience
- Strong problem-solving skills with the ability to apply quantitative and qualitative analytical methods
- Proficiency in Python, R, SQL, PySpark, or similar programming languages used for data analysis
- Knowledge of machine learning techniques, including clustering, decision trees, random forests, logistic regression, linear regression, gradient boosted trees, and naïve Bayes classifiers
- Understanding of big data architectures, distributed computing concepts, and large-scale data processing
- Experience working with relational databases and large, complex datasets
- Strong communication skills with the ability to present analytical findings to technical and non-technical stakeholders
- Experience with Spark MLlib and strong software development skills
- Basic understanding of unstructured data analysis
- Experience with data visualization tools such as Tableau, Power BI, or Qlik
Desired Qualifications
- Exposure to deep learning techniques
- Experience with distributed deep learning frameworks such as TensorFlow, Horovod, or similar technologies
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