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Data Science Jobs in Berlin, MD (NOW HIRING)

Perdue Farms

Sensory Scientist

Salisbury, MD · On-site

$68K - $102K/yr

From customizing research methodologies to analyzing data and presenting actionable insights, you ... Bachelor's Degree in Food Science, Agriculture, Nutrition, or related discipline. * 2-4 years of ...

Perdue Farms

Sensory Scientist

Salisbury, MD

$68K - $102K/yr

From customizing research methodologies to analyzing data and presenting actionable insights, you ... Bachelor's Degree in Food Science, Agriculture, Nutrition, or related discipline. * 2-4 years of ...

Perdue Farms

Sensory Scientist

Salisbury, MD · On-site

$68K - $102K/yr

From customizing research methodologies to analyzing data and presenting actionable insights, you ... Minimum Education and ExperienceBachelor?s Degree in Food Science, Agriculture, Nutrition, or ...

Perdue Farms

Sensory Scientist

Salisbury, MD

$68K - $102K/yr

From customizing research methodologies to analyzing data and presenting actionable insights, you ... Bachelor's Degree in Food Science, Agriculture, Nutrition, or related discipline. * 2-4 years of ...

Perdue Farms

Sensory Technician

Salisbury, MD · On-site

$20 - $30/hr

Conduct sensory tests as specified by sensory scientists and/or managers. * Ensure testing methodology is completed without errors and ready prior to testing day. * Enter data including product ...

Perdue Farms

Sensory Technician

Salisbury, MD

$20 - $30/hr

Conduct sensory tests as specified by sensory scientists and/or managers. * Ensure testing methodology is completed without errors and ready prior to testing day. * Enter data including product ...

Perdue Farms

Sensory Technician

Salisbury, MD

$20 - $30/hr

Conduct sensory tests as specified by sensory scientists and/or managers. * Ensure testing methodology is completed without errors and ready prior to testing day. * Enter data including product ...

TidalHealth

Business Intelligence Manager

Salisbury, MD · On-site

$95K - $148K/yr

Bachelor's degree in information technology, computer science, data analytics, business, healthcare administration, or related field required (Master's preferred). Experience * 3+ years in Business ...

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Data Science information

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$36K

$117.9K

$188.7K

How much do data science jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data science in Berlin, MD is $117,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $130,600.00 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 popular job titles related to Data Science jobs in Berlin, MD? For Data Science jobs in Berlin, MD, the most frequently searched job titles are:
What cities near Berlin, MD are hiring for Data Science jobs? Cities near Berlin, MD with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Berlin, MD as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,871 per year, or $56.7 per hour.

Operational Technology Data Engineer

Perdue Farms

Salisbury, MD • On-site

$113K - $135K/yr

Full-time

Re-posted 20 days ago

Perdue Farms rating

6.3

Company rating: 6.3 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

307th of 434 rated food and drinks producers

Job description

Job Summary:
Perdue AgriBusiness is an international agricultural products and services company that is part of Perdue Farms, a family-owned food and agricultural business. They are seeking an Operational Technology Data Engineer to modernize industrial data capture and transform it into actionable insights by building scalable data pipelines and partnering with cross-functional teams to enhance operational performance.
Responsibilities:
• Administer, maintain, and optimize OT data historian systems (e.g., AVEVA PI, FactoryTalk Historian, Canary, Ignition).
• Ensure high quality, continuous capture of time series data from PLCs, SCADA, sensors, and edge systems.
• Troubleshoot data flow issues and improve ingestion patterns such as compression, buffering, and contextualization.
• Design and implement secure, scalable OT data pipelines following OT IT segmentation standards.
• Develop cloud ingestion workflows using historian replication tools, edge gateways, IoT messaging systems, or custom pipelines.
• Ensure reliable, governed, one way movement of OT data to cloud environments.
• Partner with Enterprise Architecture and BI teams to define OT data models, metadata standards, and governance requirements.
• Transform raw OT datasets into curated, production ready assets for analytics, reporting, and machine learning.
• Implement repeatable data onboarding frameworks to support multi-site expansion.
• Apply enterprise naming conventions, metadata standards, and data validation rules.
• Monitor pipeline health, latency, schema changes, and historian system integrity.
• Follow cybersecurity standards for OT—ensuring read only access, one-way pathways, and adherence to network segmentation policies.
• Work closely with business leadership, operations, engineering, maintenance, controls, IT infrastructure, and enterprise data teams.
• Participate in design reviews, architecture discussions, and continuous improvement initiatives.
• Translate plant floor needs into scalable enterprise data solutions.
Qualifications:
Required:
• Bachelor’s Degree in Engineering, Computer Science, IT, Data Engineering, or related field—or equivalent experience.
• 4+ years of experience with OT systems, industrial data, or data engineering.
• Hands-on experience with data historian platforms (e.g., AVEVA PI, FT Historian, Canary, Ignition).
• Proficiency in data pipeline tools such as SQL, Python, REST APIs, or cloud ingestion frameworks.
• Familiarity with industrial protocols (EtherNet/IP, Modbus, OPC UA) and SCADA/PLC environments.
• Understanding of cloud data platforms (Azure, AWS, Snowflake, or Databricks) and time-series data modeling.
• Knowledge of OT cybersecurity concepts, segmentation, and iDMZ architectures.
• Knowledge of ISA 95, IEC 62443, or OT risk management frameworks.
Preferred:
• Experience building or supporting enterprise OT to cloud data architectures.
• Exposure to enterprise data lakes, data governance frameworks, and metadata/catalog platforms.
• Experience with OPC UA, MQTT, and modern IIoT platforms for secure, scalable industrial data integration.
• Hands-on experience developing Power BI dashboards or working with analytics teams to transform OT data into actionable visualizations.
Company:
Perdue Farms is dedicated to enhancing the quality of life for everyone we touch through innovative food and agricultural products Founded in 1920, the company is headquartered in Salisbury, USA, with a team of 10001+ employees. The company is currently Late Stage.

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