ZipRecruiter

Log In

1

Data Preprocessing Jobs in Emerson, NJ (NOW HIRING)

CertiK

Senior Data Scientist

New York, NY

$110K - $125K/yr

Design/implement scalable data pipelines/ETL processes & CI/CD workflows for ingestion/preprocessing/aggregating blockchain & social media data. * Create dashboards/visualizations to deliver ...

CertiK

Senior Data Scientist

New York, NY · On-site

$110K - $125K/yr

Design/implement scalable data pipelines/ETL processes & CI/CD workflows for ingestion/preprocessing/aggregating blockchain & social media data. * Create dashboards/visualizations to deliver ...

Saransh Inc

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 ...

Current

Senior Data Scientist

New York, NY

$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 ...

Current

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 ...

CertiK

Senior Data Analyst

New York, NY

$110K - $125K/yr

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

CertiK

Senior Data Analyst

New York, NY · On-site

$110K - $125K/yr

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

Bayer

Biomarker Data Scientist

Whippany, NJ

Strong programming skills in R and/or Python for data preprocessing, data analysis, statistical modeling, and machine learning, as well as solid SQL skills for data querying and manipulation. Strong ...

Merican

Developer

New York, NY · On-site

Deep understanding of Data preprocessing, Prompt management, Caching, Validation, Advanced RAG, RLHF, and success measurement. * Thorough understanding of LLMOps, data pipelines and other common ...

Socotec

Applied AI Engineer

Manhattan, NY

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 ...

Socotec

Applied AI Engineer

Manhattan, NY

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 ...

SOCOTEC

Applied AI Engineer

Manhattan, NY · On-site

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 ...

next page

Showing results 1-20

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 28, 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.
Senior Data Scientist

Senior Data Scientist

CertiK

New York, NY

$110K - $125K/yr

Full-time

Posted 26 days ago

Key responsibilities

  • Analyze large-scale blockchain, transactional, and social media datasets to identify patterns, trends, anomalies, and risk indicators.

  • Develop and apply machine learning models, including graph-based algorithms and NLP techniques, for threat detection, behavioral analysis, and monitoring.

  • Design and implement scalable data pipelines, ETL processes, and CI/CD workflows for ingesting, preprocessing, and aggregating blockchain and social media data.

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
  • Analyze large-scale blockchain/transactional/social-media datasets to identify patterns/trends/anomalies/risk indicators.
  • Develop/apply machine learning models (graph-based algorithms & NLP techniques) for threat detection/behavioral analysis/monitoring.
  • Perform feature engineering/model training/testing/validation to ensure accuracy/robustness/interpretability.
  • Design/implement scalable data pipelines/ETL processes & CI/CD workflows for ingestion/preprocessing/aggregating blockchain & social media data.
  • Create dashboards/visualizations to deliver actionable insights & provide data-driven guidance for strategic planning.
  • Collaborate with engineering/product/business teams to translate analytical requirements into scalable data-science solutions.
Requirements
  • Master’s degree in Data Science, Statistics, or a related field.
  • Sound knowledge of feature engineering/model evaluation/validation & on-chain patterns/risk-analysis/threat-detection methodologies.
  • In-depth understanding of blockchain/distributed ledger data structures & analytics.
  • Strong ability to apply machine-learning & statistical modeling techniques to large-scale datasets.
  • Expertise in analyzing graph/text-based or transactional data.
  • Familiar with cloud platforms (AWS/Azure/GCP) & Spark-based distributed-computing systems (e.g., Databricks).
  • 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.