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Data Preprocessing Jobs in Emerson, NJ (NOW HIRING)

The Atlantic Group

Analytics Engineer

Manhattan, NY · On-site

Proficiency in data preprocessing, cleaning, and transformation techniques for both structured and unstructured data sources * Advanced SQL expertise, ideally with Snowflake, including optimization ...

Adidev Technologies Inc

AI/ML Developer

Manhattan, NY · On-site

... data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. • Lead cross-functional collaborations to integrate Generative AI models ...

Adidev Technologies Inc

AI/ML

Hoboken, NJ · On-site

Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate ...

Adidev Technologies Inc

AI/ML Developer

Manhattan, NY · Remote

... data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models ...

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All JobsData Preprocessing JobsData Preprocessing Jobs in Emerson, NJ

Data Preprocessing information

See Emerson, NJ salary details

$47K

$168.8K

$249K

How much do data preprocessing jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data preprocessing in Emerson, NJ is $168,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,500.00 and $173,800.00 per year, depending on experience, location, and employer.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Machine Learning Engineer, and Chief Data Officer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, programming, and leadership, along with extensive experience and relevant certifications.

What is data preprocessing?

Data preprocessing is the process of cleaning, transforming, and organizing raw data into a usable format for analysis or machine learning. It involves steps such as handling missing values, removing duplicates, normalizing or scaling data, and encoding categorical variables. Proper data preprocessing helps improve the quality and performance of predictive models by ensuring the data is accurate, consistent, and suitable for analysis.

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

To thrive as a Data Preprocessing Specialist, you need a strong background in statistics, data cleaning, and data transformation, often supported by a degree in computer science, data science, or a related field. Proficiency with tools such as Python (pandas, NumPy), SQL, and data visualization platforms is typically essential, along with familiarity with data management systems. Attention to detail, problem-solving abilities, and effective communication are standout soft skills in this position. These skills are crucial for ensuring high-quality, reliable datasets that underpin accurate data analysis and machine learning outcomes.

Is 40 too late for data science?

Data preprocessing is a key step in data science, and individuals can enter the field at any age. Many data scientists start later in life, and acquiring skills in programming, statistics, and tools like Python or R can facilitate entry regardless of age.

What do you do in data preprocessing?

Data preprocessing involves cleaning and transforming raw data to prepare it for analysis or modeling. This includes tasks such as handling missing values, removing duplicates, normalizing data, and encoding categorical variables, often using tools like Python or R. It is a crucial step to ensure data quality and improve model performance.

What is the difference between Data Preprocessing vs Data Analysis?

AspectData PreprocessingData Analysis
Primary FocusCleaning, transforming, and preparing raw data for analysisInterpreting data to extract insights and support decision-making
Skills RequiredData cleaning, scripting, understanding of data formatsStatistical analysis, data visualization, critical thinking
Work EnvironmentData engineering teams, data science projectsBusiness intelligence, research, data science teams
Tools UsedPython, R, SQL, ETL toolsExcel, Tableau, R, Python, statistical software

While data preprocessing involves preparing raw data for analysis by cleaning and transforming it, data analysis focuses on interpreting the prepared data to uncover trends and insights. Both roles are essential in the data pipeline but serve different purposes in the data lifecycle.

Will AI replace data analysts?

AI is transforming data analysis by automating routine tasks such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex insights, making strategic decisions, and applying domain knowledge. The role is evolving to include skills in machine learning tools and programming languages like Python or R, but human expertise remains critical for nuanced analysis and contextual understanding.

What are some common challenges faced in a Data Preprocessing role, and how can they be effectively managed?

Professionals in Data Preprocessing often encounter challenges such as handling incomplete or inconsistent data, managing large datasets, and ensuring data quality before analysis. Addressing these issues typically involves using specialized tools to automate data cleaning, establishing clear data validation rules, and collaborating closely with data engineers and analysts. Staying updated with best practices and leveraging scripting languages like Python or R can also streamline the preprocessing workflow, making it easier to deliver reliable and accurate datasets for downstream analysis.
Data Preprocessing jobs near you
Infographic showing various Data Preprocessing job openings in Emerson, NJ as of June 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% In-person job distribution, with an average salary of $168,753 per year, or $81.1 per hour.
Machine Learning Expert

Machine Learning Expert

Adidev Technologies Inc

Jersey City, NJ • On-site

Full-time

Posted 15 days ago

Key responsibilities

  • Architect and refine sophisticated machine learning models and algorithms, translating complex datasets into actionable solutions.

  • Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.

  • Develop and implement cutting-edge machine learning models with a particular focus on Generative AI applications such as text generation and image synthesis.

Job description

Role - Machine Learning Expert
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client.
About Adidev Technologies Inc.
Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.
Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.
Global Presence: Our diverse employee workforce spans four continents.
Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.
How We'll Guide You
Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.
Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.
Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.
Career Growth: We facilitate industry experience to propel your technical journey forward.
Key Responsibilities:
  • Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
  • Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
  • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
  • Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
  • Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
  • Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
  • Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
  • Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
  • Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.

Requirements:
  • Degree in Computer Science, Engineering, Statistics, or a related technical field.
  • Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
  • Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
  • Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
  • Strong foundational understanding of algorithmic complexity and data structure optimization.
  • Excellent problem-solving, collaboration, and communication abilities.
  • Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.
  • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
  • Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
  • Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.
  • Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.
  • Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.
  • Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.

How to Apply:
Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.
Perks and Beyond!
Competitive salary range: Based on experience and market value
Pack your bags! Paid relocation is on us.
We provide support, even from afar, with our remote assistance.
Regular salary reviews? You betcha!
Ready to Embark?
We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Apply