Senior Data Scientist, Azure

MCA Connect

Senior Data Scientist leading Data Science implementations and mentoring at MCA Connect. Collaborating with teams to improve client relationships and technical solutions in manufacturing sectors.

Posted 5/29/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $105,000 - $165,000 per yearWebsite

Tech Stack

Tools & technologies

NoSQLPythonScalaSparkSQL

About the role

Key responsibilities & impact

The Senior Data Scientist is responsible for being a partner to team members, a mentor, and directly enabling growth of the Manufacturing Intelligence team at MCA.
The Sr. Data Scientist is expected to lead Data Science implementations, drive innovation, upskill and mentor junior teammates, and partner with leadership to drive continuous improvement.
Within a project framework, the Sr. Data Scientist is responsible for building client relationships, effectively utilizing Agile project delivery methodologies, implementing scalable and efficient technical architectures to satisfy client requirements, and performing hands-on implementations of Microsoft data solutions for MCA Connect’s current and future customers/projects.

Requirements

What you’ll need

7+ years of hands-on experience with data science, AI, and big data. Experience with data engineering is a plus.
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

Comp & perks

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

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data scienceAIbig datadata engineeringproduction-level modelsPythonRScalaSparkT-SQL

Soft Skills

mentoringcollaborationstorytellingcommunicationcritical thinkingactive listeningattention to detailend-to-end ownership