Data Science Manager - Strategic Data Solutions

A Plus Data Solutions, LLC
Austin, TX, United States
19 days ago
Apply on www.themuse.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$191,300.0
Working hours
Regular working hours

Tech stack

Airflow Data Infrastructure Data Integrity Data Transformation Data Presentation Data Systems Monitoring of Systems Python (Programming Language) Performance Tuning SQL Databases Snowflake Apache Spark
+3 more
Information Technology Machine Learning Operations Data Pipelines

Job description

  • Hire, grow, and lead a high-caliber team of data professionals spanning analytics engineering and experimentation

  • Guide team members in delivering data/business analytics, data storytelling, architecture guidance, and performance optimization, * Ensure data integrity, accessibility, and consistency across systems by overseeing data transformation and integration from multiple sources

  • Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale

  • Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domains

Partner with cross-functional leaders to align analytics initiatives with strategic objectives

  • Evangelize data science best practices and help embed a data-informed culture across teams

  • Lead through influence - balancing technical mentorship with strategic thinking to enable scalable, high-impact outcomes

Requirements

Experience with building robust monitoring systems to track data and model health in production

Expertise in data storytelling and creating stakeholder-ready visualizations and narratives

Ability to connect insights to business outcomes and influence strategy

Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops tooling

Passion for fostering inclusive team environments and valuing diverse perspectives

Clear communicator who can translate complex technical concepts into actionable business language

Minimum Qualifications

Bachelor’s degree in Computer Science, Statistics, Applied Math, Engineering, or a related field

7+ years of hands-on experience in data science, analytics engineering, or similar technical analytics roles

2+ years of experience leading and mentoring data-focused teams

Proficiency in SQL and at least one programming language (e.g., Python, R)

Strong background in experimentation design, causal inference, and statistical analysis

Experience working with large-scale data pipelines and production-level analytics systems

Proven ability to drive measurable business impact through data and automation

Benefits & conditions

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $191,300 and $287,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

About the company

Imagine what you could do here! The people here at Apple don’t just create products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.themuse.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:15 min

Bridging operational and analytical systems using formal data contracts

Matthias Niehoff Matthias Niehoff · World Congress 2024

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

See all

Related articles

See all