Sr. Data Scientist
About The Position
We are seeking a motivated and analytical Data Scientist to develop machine learning models and advanced analytics solutions that drive business value across the organization. In this role, you'll partner with cross-functional teams to solve complex business problems, uncover actionable insights, and transform data into scalable, data-driven solutions. The ideal candidate has a strong foundation in statistics, machine learning, and programming, along with a passion for solving real-world challenges through data. If you enjoy working with large, complex datasets and collaborating to deliver innovative solutions, we'd love to hear from you.
Requirements
- Bachelor’s degree in computer science, Data Science, Analytics, Statistics, Business, Information Science, or a related field with 5+ years of experience in data science, analytics, machine learning, or a related discipline; or a Master’s degree in a related field with 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.
Nice To Haves
- Exposure to deep learning techniques.
- Experience with distributed deep learning frameworks such as TensorFlow, Horovod, or similar technologies.
Responsibilities
- Develop and deploy machine learning models and predictive analytics solutions.
- Build custom data models and algorithms to solve complex business problems.
- Apply statistical techniques and advanced analytics to generate actionable insights.
- Use data exploration techniques to identify trends and uncover new opportunities.
- Partner with stakeholders to understand business objectives and translate them into data-driven solutions.
- Identify opportunities for high-impact analytics initiatives that improve business performance.
- Develop expertise across Sales, Marketing, Engineering, Supply Chain, and Finance datasets.
- Merge, manage, and analyze large, complex datasets.
- Collaborate with cross-functional teams to implement models and monitor data quality and model performance.
- Develop and improve analytics processes, workflows, and best practices.
- Present findings through clear data visualizations and communicate insights to technical and non-technical audiences.
- Foster a collaborative team environment through knowledge sharing and mentoring.
- Support continuous improvement initiatives and promote best practices.
- Build strong working relationships across the organization.
Benefits
- tuition reimbursement
- medical, dental, and vision insurance
- prescription drug coverage
- 401(k) retirement plan
- short-term disability insurance
- 8 weeks paid birthing leave
- 2 weeks paid bonding leave
- life and long-term disability insurance
- up to: 12 days paid time off
- 2 paid well-being days
- 1 paid volunteer day
- 12 paid holidays
- 3 floating holidays per year
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What This Job Offers
Job Type
Full-time
Career Level
Senior
