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Data Preprocessing Jobs in Emerson, NJ (NOW HIRING)

Senior Data Analyst

Manhattan, NY · On-site

$110 - $125/hr

... data preprocessing (cleaning/normalization/validation) for client accounts using rule‑based logic/statistical checks to ensure data quality & prepare analysis‑ready datasets for modeling ...

Lead AI/ML Developer

New York, NY · On-site

$64.50 - $84.50/hr

Experience with data preprocessing, feature engineering, and model evaluation techniques. * Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI models. * Knowledge of MLOps ...

Data Scientist Lead

Long Island City, NY · On-site

$155K - $259K/yr

Collaborate with data engineers, ML engineers and Data Scientists in building real-time and batch machine learning pipelines that include data preprocessing, feature engineering, model training ...

Senior Data Analyst

Manhattan, NY · On-site

$110 - $125/hr

... data preprocessing (cleaning/normalization/validation) for client accounts using rule‑based logic/statistical checks to ensure data quality & prepare analysis‑ready datasets for modeling ...

Senior Data Scientist

New York, NY · On-site

$170K - $220K/yr

Conduct extensive EDA, feature engineering, and data preprocessing to ensure high-quality input for ML models. * Evaluate and optimize model performance using statistical and ML techniques. * Design ...

MLOps Engineer

Manhattan, NY · On-site

$120 - $140/hr

Data Preprocessing, Feature Engineering, and Pipelines Own the data preprocessing, transformation, and feature engineering code between raw sources and the model, refactoring notebook or ...

Create and optimize end-to-end machine learning pipelines, from data preprocessing to model deployment, ensuring scalability and performance. * Optimizing Model Performance: Continuously fine-tune ...

Senior Data Scientist

New York, NY · On-site

$170K - $220K/yr

Conduct extensive EDA, feature engineering, and data preprocessing to ensure high-quality input for ML models. * Evaluate and optimize model performance using statistical and ML techniques. * Design ...

Create and optimize end-to-end machine learning pipelines, from data preprocessing to model deployment, ensuring scalability and performance. * Optimizing Model Performance: Continuously fine-tune ...

Machine Learning Engineer

Manhattan, NY · On-site

$170.17 - $255.26/hr

Develop machine learning & deep learning models using Python, including data preprocessing, feature engineering, model training, and evaluation for large-scale datasets * Use SQL for large-scale data ...

AI/ML

Hoboken, NJ · 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 ...

Collaborate with data engineers, ML engineers and Data Scientists in building real-time and batch machine learning pipelines that include data preprocessing, feature engineering, model training ...

AI/ML

Hoboken, NJ · 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 ...

Create and optimize end-to-end machine learning pipelines, from data preprocessing to model deployment, ensuring scalability and performance. * Optimizing Model Performance: Continuously fine-tune ...

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

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Data Preprocessing information

See Emerson, NJ salary details

$47K

$168.8K

$249K

How much do data preprocessing jobs pay per year?

As of Aug 22, 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 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.

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.

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.

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.

Senior Data Analyst

Unchain Data

Manhattan, NY • On-site

$110 - $125/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

About the Company

Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting‑edge security research, formal verification, and AI‑powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end‑to‑end security solutions including smart contract audits, penetration testing, on‑chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem.

Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation.

About the Role

The primary responsibility of this role is to build/maintain ETL pipelines & process large datasets from APIs/databases/third‑party platforms to enable real‑time team analytics and automate data preprocessing (cleaning/normalization/validation) for client accounts using rule‑based logic/statistical checks to ensure data quality & prepare analysis‑ready datasets for modeling/reporting.

Responsibilities
  • Develop data models to extract/classify/summarize metadata from unstructured documents to forecast market dynamics & support data‑driven strategy.
  • Design interactive Tableau dashboards to visualize KPIs/trends/progress & interpret key patterns to support data‑driven decisions for stakeholders.
  • Conduct data analysis on large datasets & apply segmentation/clustering/regression/EDA to support client management/market intelligence/pricing strategies.
  • Collaborate with business/product/finance/engineering teams to translate business challenges into data projects (e.g., churn prediction, sales funnel analysis) & provide growth/retention recommendations to leadership.
Requirements
  • Master of Science in Data Science, Business Analytics, or a related field
  • Minimum 1‑year work experience in large‑scale data processing/quality management/predictive modeling & working with cloud‑based data platforms (Databricks, AWS)/Agile environments using project management tools like Jira/Confluence
  • Expertise in designing interactive dashboards with Tableau
  • Familiar with Scikit‑learn/XGBoost/LightGBM/NLP
  • Proficient in Python, SQL (PostgreSQL/MySQL/NoSQL) & ETL tools (Apache Airflow)

Target annual salary compensation for this role performed is $110,000 to $125,000. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.

CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full‑time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law. CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf All CertiK employees are expected to actively support diversity on their teams, and in the Company.

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