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Data Science Jobs in Philadelphia, MS (NOW HIRING)

Van Zyverden

ERP Analyst

Meridian, MS · On-site

Ensure data integrity and security within the ERP system. * Analyze existing business processes and ... Bachelor's degree in Computer Science, Information Technology, Business Administration, or a ...

US Navy

Oceanographer/Meteorologist

Louisville, MS

... data. Ensure safety of navigation, access to denied waters, freedom to maneuver at will, and ... A desired degree is in physics, physics-based oceanography, meteorology, hydrography, earth science ...

US Navy

Oceanographer/Meteorologist

Decatur, MS

... data. Ensure safety of navigation, access to denied waters, freedom to maneuver at will, and ... A desired degree is in physics, physics-based oceanography, meteorology, hydrography, earth science ...

US Navy

Oceanographer/Meteorologist

Collinsville, MS

... data. Ensure safety of navigation, access to denied waters, freedom to maneuver at will, and ... A desired degree is in physics, physics-based oceanography, meteorology, hydrography, earth science ...

Raytheon

Sr. Automation Systems Engineer III

Forest, MS

$95K - $125K/yr

Typically requires a Bachelors degree in Science, Technology, Engineering or Mathematics (STEM ... Data analysis experience. * Strong communication skills including the ability to convey complex ...

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All JobsData Science JobsData Science Jobs in Philadelphia, MS

Data Science information

See Philadelphia, MS salary details

$32.2K

$105.5K

$168.9K

How much do data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data science in Philadelphia, MS is $105,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,700.00 and $116,900.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Philadelphia, MS? The most popular types of Data Science jobs in Philadelphia, MS are:
What cities near Philadelphia, MS are hiring for Data Science jobs? Cities near Philadelphia, MS with the most Data Science job openings:
Data Science jobs near you

Elementary Classroom Teacher

Kosciusko School District

Kosciusko, MS

$46K - $58K/yr

Other

Re-posted 26 days ago

Job description

Classroom Teacher

Position Title: Elementary Classroom Teacher
Location: Kosciusko Upper Elem
Reports To: Principal
Employment Type: Full-Time, 10-Month Contract
Salary: Based on district salary scale and experience



Position Overview:

Kosciusko Upper Elementary is seeking a dedicated and passionate Elementary Teacher to join our dynamic team of educators. The ideal candidate will be committed to fostering a supportive learning environment where all students feel encouraged and challenged to reach their full potential. This teacher will be responsible for delivering instruction aligned with state standards, assessing student progress, and collaborating with colleagues and families to ensure student success.

Key Responsibilities:

  • Plan, prepare, and deliver engaging lessons in English Language Arts, Mathematics, Science, and Social Studies that align with Mississippi College- and Career-Readiness Standards.
  • Differentiate instruction to meet the needs of diverse learners, including students with IEPs, ELLs, and gifted students.
  • Utilize formative and summative assessments to monitor student learning and inform instruction.
  • Foster a positive, respectful classroom environment that promotes academic achievement and social-emotional growth.
  • Maintain accurate records of student attendance, grades, and performance data.
  • Communicate effectively with students, families, and school staff regarding student progress and classroom expectations.
  • Collaborate with grade-level teams and participate in professional learning communities to enhance teaching practices and school improvement.
  • Integrate technology to enhance student learning and engagement.
  • Implement classroom management strategies that support a safe and productive learning environment.
  • Attend and actively participate in faculty meetings, parent conferences, professional development, and school events.

Qualifications:

  • Bachelor's degree in Elementary Education or a related field (Master's preferred).
  • Valid Mississippi teaching license with appropriate 4th6th grade certification.
  • Demonstrated knowledge of child development and effective instructional strategies.
  • Strong classroom management and communication skills.
  • Proficiency in integrating technology and data-driven instruction.

Preferred Attributes:

  • Experience teaching upper elementary grades.
  • Commitment to continuous professional growth.
  • Ability to collaborate effectively with colleagues and school leadership.
  • Passion for creating an inclusive and equitable learning environment.


Apply