1263 IT & Software Developer jobs in the US
1st Avenue South 100, Nashville
$120,000 - 160,000
Requirements
Must:
- We require a BA/BS degree or equivalent practical experience.
- We are looking for 5–7+ years of experience in data science, analytics, or a closely related discipline.
- We need proficiency in Python or R, SQL, and working with relational databases.
- We expect a solid understanding of machine learning and statistical methods such as regression, decision trees, classification, causal inference, and clustering.
- We value experience with cloud-based data and analytics platforms such as Azure or AWS.
- We need proven experience leading and coaching a team, along with strong written and verbal communication skills and strong attention to detail.
- We prefer an MS in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics, Psychology, or Quantitative Social Science, or equivalent advanced experience.
- We prefer 8+ years of experience leading a small team of about 2–4 people and growing technical talent.
- We prefer experience with production machine learning practices, including shared codebases, package development, repositories, and SDLC best practices, as well as distributed processing or modern platforms such as Databricks.
- We prefer experience with hyperparameter tuning and ongoing model monitoring, including measurement, drift, and stability.
Responsibilities
- We will have you lead and grow a high-performing team by coaching partners, building development plans, and fostering a culture of execution, collaboration, and continuous learning.
- We will rely on you to guide end-to-end data science work, from problem definition and data preparation through modeling, evaluation, and operationalizing insights and models.
- We will expect you to establish and scale best practices across coding standards, version control, documentation, data security, and analytics and engineering methods.
- We will ask you to remove obstacles and align cross-functional partners to ensure scalable, measurable, and business-ready solutions.
- We will count on you to help ensure insights and machine learning outputs are adopted into day-to-day business workflows.
Description
We are Starbucks, a company built around coffee, connection, and developing extraordinary leaders who are driven by service to others. In this Data Science Manager role, you will lead a team of data scientists, decision scientists, and analysts to solve complex business challenges through advanced analytics and machine learning. We offer a comprehensive benefits package that includes medical, dental, vision, life, disability, parental leave, vacation, holidays, retirement savings, equity and stock programs, tuition coverage, student loan support, and other well-being resources. We also provide backup care and additional family support programs. Our teams work onsite four days a week, and this role is part of a collaborative environment focused on impact, growth, and continuous improvement.
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You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 1263 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the US a good place for Data Engineers?
The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the United States?
micro1, Scm Products, Inc., Turing, Connextek, GE Aerospace, Helm Operations Software inc, Reliant Technologies among others, are currently hiring for Data roles in the United States.
The company with most openings is Jobot as they are hiring for 142 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Jobot as they are hiring for 142 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
