Sacred Heart University
and the job listing Expires on January 1, 2026
Job Title: Data Analyst / Data Scientist Location:
[Insert Location]
Job Type:
Full-time
Education Requirement:
Master’s degree or higher
Job Summary: We are looking for a highly motivated individual with strong analytical skills to join our team as a
Data Analyst / Data Scientist . The ideal candidate should have a solid foundation in data processing, statistical analysis, and machine learning, along with the ability to derive actionable insights from complex datasets. While a degree in a related field (e.g., Computer Science, Statistics, Engineering) is a plus, we welcome applicants from diverse academic backgrounds who have acquired relevant technical skills.
Key Responsibilities:
Collect, clean, and analyze large datasets to identify trends and patterns.
Develop and implement machine learning models for predictive and prescriptive analytics.
Collaborate with cross‑functional teams to translate business problems into data‑driven solutions.
Create visualizations and reports to communicate findings to stakeholders.
Optimize data pipelines and workflows for efficiency and scalability.
Stay updated with the latest advancements in data science and analytics.
Required Skills & Qualifications:
Master’s degree
(PhD is a plus) in any discipline, with coursework or hands‑on experience in data‑related fields.
Proficiency in
Python/R
for data analysis and modeling.
Experience with
SQL
for database querying and manipulation.
Familiarity with
machine learning frameworks
(e.g., Scikit-learn, TensorFlow, PyTorch).
Knowledge of
data visualization tools
(e.g., Tableau, Power BI, Matplotlib, Seaborn).
Strong problem‑solving skills and ability to work independently.
Good communication skills to present technical findings to non‑technical audiences.
Preferred Skills (Not Mandatory):
Experience with
big data technologies
(e.g., Hadoop, Spark).
Knowledge of
cloud platforms
(e.g., AWS, GCP, Azure).
Background in
statistics, optimization, or operations research .
Why Join Us?
Opportunity to work on high‑impact projects with real‑world applications.
Collaborative and innovative work environment.
Competitive salary and benefits package.
Continuous learning and professional development support.
If you are passionate about data and eager to apply your skills in a dynamic setting, we encourage you to apply!
How to Apply: Please submit your
resume (CV), cover letter (optional), and any relevant project portfolios or GitHub links
to [Insert Email/Application Link].
#J-18808-Ljbffr
Job Title: Data Analyst / Data Scientist Location:
[Insert Location]
Job Type:
Full-time
Education Requirement:
Master’s degree or higher
Job Summary: We are looking for a highly motivated individual with strong analytical skills to join our team as a
Data Analyst / Data Scientist . The ideal candidate should have a solid foundation in data processing, statistical analysis, and machine learning, along with the ability to derive actionable insights from complex datasets. While a degree in a related field (e.g., Computer Science, Statistics, Engineering) is a plus, we welcome applicants from diverse academic backgrounds who have acquired relevant technical skills.
Key Responsibilities:
Collect, clean, and analyze large datasets to identify trends and patterns.
Develop and implement machine learning models for predictive and prescriptive analytics.
Collaborate with cross‑functional teams to translate business problems into data‑driven solutions.
Create visualizations and reports to communicate findings to stakeholders.
Optimize data pipelines and workflows for efficiency and scalability.
Stay updated with the latest advancements in data science and analytics.
Required Skills & Qualifications:
Master’s degree
(PhD is a plus) in any discipline, with coursework or hands‑on experience in data‑related fields.
Proficiency in
Python/R
for data analysis and modeling.
Experience with
SQL
for database querying and manipulation.
Familiarity with
machine learning frameworks
(e.g., Scikit-learn, TensorFlow, PyTorch).
Knowledge of
data visualization tools
(e.g., Tableau, Power BI, Matplotlib, Seaborn).
Strong problem‑solving skills and ability to work independently.
Good communication skills to present technical findings to non‑technical audiences.
Preferred Skills (Not Mandatory):
Experience with
big data technologies
(e.g., Hadoop, Spark).
Knowledge of
cloud platforms
(e.g., AWS, GCP, Azure).
Background in
statistics, optimization, or operations research .
Why Join Us?
Opportunity to work on high‑impact projects with real‑world applications.
Collaborative and innovative work environment.
Competitive salary and benefits package.
Continuous learning and professional development support.
If you are passionate about data and eager to apply your skills in a dynamic setting, we encourage you to apply!
How to Apply: Please submit your
resume (CV), cover letter (optional), and any relevant project portfolios or GitHub links
to [Insert Email/Application Link].
#J-18808-Ljbffr