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Remote Masters Computer Science Jobs in Chicago, IL

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153.20K - $229.80K/yr

... Data Science, Computer Science, or a similar analytical field, or a relevant professional ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Relativity

Senior Applied Scientist

Chicago, IL · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Master's degree in Computer Science or a quantitative field plus 2 years of relevant industry ...

HNI Corporation

Sr. Data Scientist

Chicago, IL · On-site +1

Due to the remote nature of this role and associated employment requirements, the company is unable ... Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a ...

Integral Ad Science

Senior DevOps Engineer

Chicago, IL · Remote

$133.90K - $172K/yr

... Computer Science/related degree or equivalent experience * Strong coding background with either ... Self-motivated and able to work independently as part of a remote-first team What puts you over the ...

HNI Corporation

Sr. Data Scientist

Chicago, IL · On-site +1

Due to the remote nature of this role and associated employment requirements, the company is unable ... Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a ...

HNI

Sr. Data Scientist

Chicago, IL · Remote

Due to the remote nature of this role and associated employment requirements, the company is unable ... Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a ...

BMO Capital Markets

Senior Manager, Data Science

Chicago, IL · On-site +1

$122.40K - $228K/yr

Data Analytics & Reporting This is ideally a hybrid role but open to remote Role Overview We are ... Advanced degree (PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, Physics ...

The Hartford

Data Scientist

Chicago, IL · On-site +1

$90.16K - $135.24K/yr

This role can have a Hybrid or Remote work arrangement depending on experience and skillset ... Master's in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or ...

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Remote Masters Computer Science information

What are the key skills and qualifications needed to thrive as a Remote Masters in Computer Science graduate, and why are they important?

To thrive as a Remote Masters in Computer Science graduate, you need advanced knowledge in algorithms, data structures, programming languages, and a relevant master's degree. Familiarity with software development tools, cloud platforms, version control systems, and certifications in areas like AWS or machine learning are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set exceptional candidates apart. These competencies are crucial for tackling complex technical challenges and collaborating efficiently in distributed teams.

What are some common challenges faced by students in a remote Master's in Computer Science program, and how can they be overcome?

Students pursuing a remote Master's in Computer Science often face challenges such as staying motivated without in-person interaction, managing time effectively, and collaborating with peers on group projects. To overcome these, it's important to establish a structured daily routine, actively participate in virtual study groups, and utilize online collaboration tools like GitHub or Slack. Many programs also offer virtual office hours and mentoring, so taking advantage of these resources can greatly enhance your learning experience and help you stay connected with both faculty and classmates.

What is a Remote Masters in Computer Science?

A Remote Masters in Computer Science is a graduate-level degree program that is completed entirely online, allowing students to study from anywhere without needing to attend classes on campus. These programs typically cover advanced topics in computer science such as algorithms, artificial intelligence, machine learning, cybersecurity, and software engineering. Students interact with professors and peers through virtual classrooms, discussion forums, and online assignments. Many remote programs offer flexible schedules, making them ideal for working professionals or those with other commitments. Graduates of remote masters programs receive the same degree as their on-campus counterparts and can pursue careers in academia, research, or the tech industry.
What are the most commonly searched types of Masters Computer Science jobs in Chicago, IL? The most popular types of Masters Computer Science jobs in Chicago, IL are:
What are popular job titles related to Remote Masters Computer Science jobs in Chicago, IL? For Remote Masters Computer Science jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Masters Computer Science jobs in Chicago, IL look for? The top searched job categories for Remote Masters Computer Science jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Masters Computer Science jobs? Cities near Chicago, IL with the most Remote Masters Computer Science job openings:
Remote Masters Computer Science jobs near you

Sr. Product Manager- Data Warehouse (Remote)

Inspira Financial

Oak Brook, IL • On-site, Remote

$127.80K - $168.70K/yr

Full-time

Posted 3 days ago

Inspira Financial rating

8.0

Company rating: 8.0 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

Job description

The Sr. Product Manager, Data Warehouse will report to the Sr. Director, Data Science & Analytics in the Data Science & Analytics organization. This role will lead the product strategy and execution for our enterprise data warehouse capabilities on Snowflake-enabling trusted, governed, and performant analytics data for business intelligence, reporting, self-service exploration, and AI/ML applications. You will be a trusted partner to data engineering, architecture, security, governance, and business stakeholders to deliver measurable value through improved data quality, usability, reliability, and time-to-insight.
You will own the product vision and roadmap for core warehouse capabilities in Snowflake, including data modeling (dimensional/data vault where appropriate), semantic and metrics layers, Generative AI features, workload performance and SLAs, governed data access, lineage and observability, and enablement for BI and analytics tooling. This is a highly cross-functional role requiring strong product leadership, understanding of the business meaning of the data, deep fluency in modern data warehousing, and a robust understanding of Generative AI.
Duties & Responsibilities:
  • Own the product vision and roadmap for the enterprise data warehouse on Snowflake to enable trusted analytics at scale.
  • Partner with business stakeholders, analytics, and data engineering to translate reporting and decisioning needs into clear product requirements, data contracts, and prioritized warehouse initiatives.
  • Develop and execute product roadmaps with measurable outcomes (OKRs/KPIs) such as time-to-data, query performance, data quality, adoption, and cost efficiency.
  • Define the warehouse product strategy across ingestion, transformation, modeling, serving, and consumption layers; balance short-term delivery with long-term architecture and platform evolution.
  • Partner with Data Science and Data Engineering to develop and execute on a roadmap for applications that use Snowflake's Generative AI features.
  • Collaborate with Architecture, Security, Privacy, and Data Governance to ensure the warehouse meets governance, access control, retention, audit, and compliance requirements.
  • Establish and communicate warehouse SLAs/SLOs (freshness, availability, performance) and lead incident review/continuous improvement with engineering partners.
  • Drive a 1-3 year capability roadmap (e.g., semantic layer/metrics store, self-service data products, workload isolation, data observability, catalog/lineage) and deliver iteratively.
  • Prioritize features and investments using customer feedback, analytics usage telemetry, technical feasibility, risk, and business impact.
  • Develop business cases for data warehouse initiatives (value, risk reduction, productivity, scalability) and track outcomes against OKRs and KPIs.
  • Define and maintain product and platform dashboards (adoption, performance, freshness, quality, cost) and provide regular updates to stakeholders.
  • Provide guidance and mentorship to product managers and analysts; set standards for warehouse product discovery, delivery, and stakeholder communication.
  • Identify opportunities to improve scalability, reliability, latency, and cost efficiency of Snowflake workloads through workload management (virtual warehouses, resource monitoring), query optimization, and FinOps practices.
  • Partner with engineering to deliver robust warehouse capabilities (modeling patterns, semantic layer, query optimization, data observability, CI/CD for data, and environment management).
  • Operate effectively with minimal direction; navigate ambiguity and shifting priorities while maintaining clear delivery plans and stakeholder alignment.
  • Other duties as assigned.

Education & Experience:
Minimum required:
  • 7+ years of experience in product management required with significant ownership of platform, infrastructure, or data products
  • Bachelors Degree in Computer Science, Mathematics, Statistics, Engineering or equivalent combination of education, experience and training required
  • Strong understanding of data warehouse concepts: dimensional modeling, semantic/metric layers, ETL (Informatica, Talend, Matillion), orchestration, data quality, lineage, and workload performance
  • Product management experience with Generative AI applications and a robust understanding of prompt engineering, text-to-SQL, RAG, evaluation, and observability

Additional preferred:
  • 5 years of experience in Snowflake preferred
  • Experience with relational data sources (SQL Server), non relational (Mongo DB), structured and unstructured data sources
  • Masters Degree in Computer Science, Mathematics, Statistics, Engineering preferred
  • Certified Product Management credentials preferred

Skills & Abilities:
  • Experience partnering with data engineering and analytics teams to deliver Snowflake-based warehouse platforms and curated data products
  • Understanding of modern platform and technology solutions
  • Excellent analytical skills with a strong bias towards action and a proactive nature
  • Demonstrated ability to read schemas, define data contracts, and perform technical user acceptance testing
  • Strong SQL skills
  • Demonstrated experience with change data capture (Fivetran, Qlik Replicate, Debezium)
  • Demonstrated experience in Agile and experience with Agile tools (Azure DevOps, Jira)
  • Strong organizational skills with a drive to meet deadlines.
  • Proven leadership skills to gain credibility, garner respect, and guide the creation of self-organizing teams
  • An affinity for accuracy and efficiency
  • Fluency with analytics/BI and data ecosystem concepts (e.g., BI semantic models, data catalogs, orchestration, observability); tool-specific experience is a plus
  • Strong verbal and written communication skills
  • An aptitude for data-driven prioritization and multi-tasking
  • Seeks to understand the data that can drive business outcomes
  • Strong collaboration and communication skills. Able to cultivate relationships with clients, partners, and other departments to facilitate collaboration and achieve common goals.
  • A drive to learn and apply new concepts quickly.

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