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Data Preprocessing Jobs in Emerson, NJ (NOW HIRING)

Clera

Senior ML/AI Engineer

New York, NY · Remote

$170K - $230K/yr

Build and maintain robust ML pipelines: data preprocessing, feature engineering, model training, evaluation, and production deployment * Architect RAG systems and LLM integrations that power natural ...

Clera

Senior ML/AI Engineer

New York, NY · On-site

$170K - $230K/yr

Build and maintain robust ML pipelines: data preprocessing, feature engineering, model training, evaluation, and production deployment * Architect RAG systems and LLM integrations that power natural ...

Clera

Senior ML/AI Engineer

Manhattan, NY · On-site

$170 - $230/hr

Build and maintain robust ML pipelines: data preprocessing, feature engineering, model training, evaluation, and production deployment * Architect RAG systems and LLM integrations that power natural ...

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 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 ...

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Machine Learning (ML) and artificial intelligence (Al) tools Data Preprocessing, Exploration and Visualization tools, including Jupyter, Matplotlib, Pandas, Scikit-learn; Data Management and Storage ...

NxT Level

Senior Backend Engineer

Manhattan, NY · On-site

Build APIs supporting model inference, data preprocessing, and result handling * Implement validation layers and human escalation protocols for AI safety This role also includes work on healthcare ...

NxT Level

Senior Backend Engineer

Manhattan, NY · On-site

Build APIs supporting model inference, data preprocessing, and result handling * Implement validation layers and human escalation protocols for AI safety This role also includes work on healthcare ...

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Showing results 41-60

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 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.

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 ML/AI Engineer

Clera

New York, NY • Remote

$170K - $230K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About the Role

Join a fast-growing, AI-native consumer intelligence startup (Series A/B stage) building the next generation of autonomous enterprise analytics. The platform doesn't just surface insights — it reasons, forecasts, and acts autonomously across complex enterprise data landscapes, serving some of the world's largest retailers and consumer brands.

As a Senior ML/AI Engineer, you'll work at the intersection of cutting-edge research and real-world enterprise deployment, designing intelligent systems that drive measurable business impact at scale. This is applied AI at its most impactful.

What You'll Do

  • Design, build, and deploy ML models for demand forecasting, time series prediction, consumer sentiment analysis, and anomaly detection at enterprise scale

  • Develop and iterate on the platform's agentic AI architecture — building systems that reason across heterogeneous data sources and take autonomous action

  • Build and maintain robust ML pipelines: data preprocessing, feature engineering, model training, evaluation, and production deployment

  • Architect RAG systems and LLM integrations that power natural language interfaces and autonomous workflows

  • Collaborate with backend engineers to ensure models are production-grade — optimized for latency, reliability, and scale

  • Own model performance end-to-end: monitoring, retraining, and continuous improvement in production

  • Stay at the frontier of AI research and bring relevant innovations into the platform

What We're Looking For

Required (Dealbreakers):

  • M.S. or Ph.D. in Computer Science, Machine Learning, or a related field

  • 3+ years of hands-on, ML-focused experience (not purely software engineering with minimal ML exposure)

  • 3+ years working in ML systems architecture, building and delivering production ML pipelines

  • Deep proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or equivalent

  • No visa sponsorship available — candidates must be independently authorized to work

Also Required:

  • Production experience building agentic systems and harnesses

  • Hands-on experience with graph databases

  • Strong SQL proficiency for data querying and manipulation

Nice to Have:

  • Experience working at scale — large tech companies or high-growth startups with production ML systems (backgrounds from firms such as Meltwater, NielsenIQ, Qualtrics, Medallia, Kantar, or similar enterprise analytics/intelligence companies are a strong signal)

  • Experience with the Go programming language

Compensation & Benefits

  • Salary: $170,000 – $230,000 USD annually, depending on experience

  • Early-stage equity in a high-growth, AI-native company

Location

This is an on-site role based in New York, NY, USA. Candidates must be local or willing to relocate. Visa sponsorship is not available.