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Data Science Certificate Jobs (NOW HIRING)

Blend360

Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... certifications, training, and location. It is not typical for an individual to be hired at or near ...

Asurion

Senior Director, Data Science Location: Bay Area preferred, optional: Nashville, TN or Sterling, VA ... PREFERRED LICENSES/CERTIFICATIONS * Cloud certification in AWS, Azure, or Google Cloud.

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Wehave multiple openings for early-career Data Science Engineers to join a team applying machine ... certifications, experience, skills, seniority, geographic location, performance, and business or ...

Blend360

Data Science Manager

Columbia, MD · On-site

$125K - $160K/yr

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... certifications, training, and location. It is not typical for an individual to be hired at or near ...

Blend360

Data Science Manager

Columbia, MD · On-site

Key Responsibilities Data Science & Analytics * Partner with practice leaders and clients to ... certifications, training, and location. It is not typical for an individual to be hired at or near ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine ... certifications, experience, skills, seniority, geographic location, performance, and business or ...

LLNL

Data Science Engineer

Livermore, CA

$121K - $154K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine ... certifications, experience, skills, seniority, geographic location, performance, and business or ...

Hive Group LLC

Data Scientist

Mclean, VA · On-site

Bachelor's degree in Data Science, Statistics, Mathematics or Computer Science is required; A Master's degree in these areas is preferred. * Certified Senior Data Scientist certification or similar ...

Hive Group LLC

Data Scientist

Mclean, VA · On-site

Bachelor's degree in Data Science, Statistics, Mathematics or Computer Science is required; A Master's degree in these areas is preferred. * Certified Senior Data Scientist certification or similar ...

Walmart

Director, Data Science

Sunnyvale, CA

$169K - $338K/yr

... form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Director, Data Science

Cupertino, CA

$169K - $338K/yr

... form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Director, Data Science

Mountain View, CA

$169K - $338K/yr

... form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Director, Data Science

San Jose, CA

$169K - $338K/yr

... form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Walmart

Director, Data Science

Hayward, CA

$169K - $338K/yr

... form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

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All JobsData Science Certificate Jobs

Data Science Certificate information

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$37.5K

$122.7K

$196.5K

How much do data science certificate jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data science certificate in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

Is a data science certificate worth it?

A data science certificate can enhance your skills in programming, statistics, and tools like Python or R, which are valuable for data science roles. While it can improve job prospects and demonstrate commitment, practical experience and a strong portfolio are also important for securing positions in the field.

What is a Data Science Certificate job?

A Data Science Certificate job refers to roles where employers recognize or prefer candidates who have earned a certificate in data science. These positions typically involve analyzing data, building models, and deriving insights using programming, statistics, and machine learning. While a certificate alone may not replace a full degree, it can demonstrate expertise and practical skills to potential employers. Many professionals pursue certificates to transition into data science or enhance their existing qualifications.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and starting a data science certificate at 40 is not too late. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses and certifications.

What are some typical projects or daily responsibilities for someone who has earned a Data Science Certificate?

Professionals with a Data Science Certificate often work on projects involving data cleaning, statistical analysis, building and evaluating predictive models, and creating visualizations to communicate findings. Daily tasks may include collaborating with other data team members or stakeholders to understand business problems, preparing datasets, running machine learning experiments, and presenting actionable insights. The work is usually project-based, offering variety and opportunities to solve real-world problems using data. As you gain experience, you may also contribute to improving data processes or mentor junior team members, further advancing your career.

What certifications make 100k a year?

In data science, earning a six-figure salary often requires advanced certifications such as Certified Data Scientist, Certified Analytics Professional, or specialized training in machine learning and big data tools. Combining these certifications with strong programming skills in Python or R and experience with cloud platforms can help data scientists reach or exceed a $100,000 annual salary.

What are the key skills and qualifications needed to thrive in the Data Science Certificate position, and why are they important?

To thrive in data science roles, individuals need strong analytical skills, proficiency in statistics, and experience with programming languages such as Python or R, often formalized through a data science certificate or related degree. Familiarity with data visualization tools, machine learning frameworks, and cloud platforms is essential for daily tasks. Effective communication, problem-solving abilities, and teamwork are valuable soft skills that help interpret complex data and convey insights to diverse audiences. These skills ensure you can manage, analyze, and present data-driven solutions that directly impact organizational decision-making.

What jobs can I get with a certificate in data science?

A certificate in data science can qualify you for roles such as data analyst, data scientist, or business intelligence analyst. These positions typically require skills in programming languages like Python or R, data visualization, and statistical analysis, often utilizing tools like SQL and Tableau.
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Data Science Certificate jobs near you
Data Science Manager

Data Science Manager

Blend360

Columbia, MD • On-site

$125K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job Description
We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing team. In this role, you'll collaborate with practice leaders, engineers, and cross-functional stakeholders to solve complex business challenges using data science and AI-driven approaches. You'll work on end-to-end data science initiatives, with opportunities to design and implement cutting-edge generative AI (GenAI) and LLM-powered solutions.
Key Responsibilities
Data Science & Analytics
  • Partner with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
  • Translate business needs into actionable data science solutions, evaluating multiple approaches and clearly communicating trade-offs.
  • Collaborate with stakeholders to align on methodology, deliverables, and project roadmaps.
  • Leverage Machine Learning and Data Analysis to optimize marketing campaigns
  • Conduct A/B tests to improve campaign performance measure campaign effectiveness, and increase engagement and conversion rates.

AI & Generative AI Collaboration
In addition to traditional data science responsibilities, you will collaborate with AI and engineering teams to:
  • Design and implement production-grade AI solutions leveraging LLMs, transformers, retrieval-augmented generation (RAG), agentic workflows, and generative AI agents.
  • Optimize prompt design, workflows, and pipelines for performance, accuracy, and cost-efficiency.
  • Build multi-step, stateful agentic systems that utilize external APIs/tools and support robust reasoning.
  • Deploy GenAI models and pipelines in production (API, batch, or streaming) with a focus on scalability and reliability.
  • Develop evaluation frameworks to monitor grounding, factuality, latency, and cost.
  • Implement safety and reliability measures such as prompt-injection protection, content moderation, loop prevention, and tool-call limits.
  • Work closely with Product, Engineering, and ML Ops to deliver robust, high-quality AI capabilities end-to-end.
  • Develop and manage detailed project plans including milestones, risks, owners, and contingency plans.
  • Create and maintain efficient data pipelines using SQL, Spark, and cloud-based big data technologies within client architectures.
  • Collect, clean, and integrate large datasets from internal and external sources to support functional business requirements.
  • Build analytics tools that deliver insights across domains such as customer acquisition, operations, and performance metrics.
  • Perform exploratory data analysis, data mining, and statistical modeling to uncover insights and inform strategic decisions.
  • Train, validate, and tune predictive models using modern machine learning techniques and tools.
  • Document model results in a clear, client-ready format and support model deployment within client environments.

Qualifications
Required Skills & Experience
  • 5+ years of hands-on experience in Data Science, including model building and ML Ops
  • Experience in email marketing and direct marketing
  • Experience managing people
  • Proficiency in Python, SQL, and tools like Pandas, Scikit-learn, NLTK/spaCy, and Spark
  • Familiarity with digital marketing ecosystem (e.g., clickstream analytics) and recommendation systems
  • Experience deploying models via APIs or integrating them into batch processing pipelines
  • Working knowledge of cloud data platforms (e.g., AWS S3, Redshift, GCP, Azure)
  • Ability to manage data pipelines and ETL processes with a solid understanding of data engineering best practices
  • Strong communication and collaboration skills, including experience engaging directly with clients

Preferred Qualifications
  • Exposure to ML Ops tools such as MLflow, Kubeflow, or SageMaker
  • Experience working in Agile environments with cross-functional teams

Additional Information
The starting pay range for this role is $125,000 - $160,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.

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