Role Overview
MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights. The Azure Lead Data Scientist is responsible for leading data science implementations, driving innovation, upskilling and mentoring junior teammates, and partnering with leadership to drive continuous improvement.
What You Will Do
The Sr. Data Scientist will leverage advanced analytics techniques and tools, extract insights from large datasets, develop data-driven solutions, and perform analyses of structured and unstructured data to solve multiple and complex business problems.
Why It Might Be a Fit
The ideal candidate will have 7+ years of hands-on experience with data science, AI, and big data, and experience developing and owning production-level models using various data sets.
Requirements
- 7+ years of hands-on experience with data science, AI, and big data
- Experience with data engineering
- Degree in Information Technology or Business Administration or equivalent combination of education and experience
- Experience developing and owning production-level models using various data sets
- Experience shipping models to production, and ensuring continuous availability via measurements, and tools like statistical process control
- Ability to translate business needs into technical requirements through active partnerships, collaborating with partners, data scientists and data architects
- Compelling storytelling through analytics and visualization, getting your point across, and keeping your audience engaged
- Experience working in Python, R, Scala, Spark, and/or T-SQL
- Extensive experience connecting to Data Platforms including data lakes, data warehouses, NoSQL databases, and APIs
- Ability to set up data and experimental platforms
- Strong critical thinking, active listening, and communication skills to infer business needs, grasp the underlying context, and translate loose direction on analytical projects into concrete solutions
- Attention to detail and desire for end-to-end ownership of deliverables
- Experience working on projects involving large volumes of data, preferably in the Manufacturing industry
- Demonstrates the ability to communicate effectively with technical teams, business stakeholders, and other relevant parties
Benefits
- Work/Life Balance with Unlimited Paid Time Off (UPTO)
- 401k Plan with Company Matching Contribution
- Monthly Stipend for Home Office Expenses
- Subsidized Medical, Dental and Vision Coverage
- Health Savings and Flexible Spending Accounts
- Company Paid Life and Disability Insurance
- Training, Certification and Continuing Education Support
To apply for this job please visit jobs.lever.co.
Follow us on social media