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Data Preprocessing Jobs in Emerson, NJ (NOW HIRING)

Senior ML/AI Engineer

Manhattan, 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 ...

Data Scientist

New York, NY · On-site

$173K - $175K/yr

Gathering, preprocessing and compiling data from various sources using SQL. Alternatively, the employer also accept a Bachelor's degree in Information Systems, Computer Science, Computer Engineering ...

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

Lead Applied AI Engineer

New York, NY · Remote

$104K - $138K/yr

Develop: o Vector database architectures o Hybrid search capabilities o Data preprocessing pipelines o Data quality monitoring frameworks * Ensure high-quality inputs for AI systems through cleansing ...

Profile and diagnose performance bottlenecks across the ML stack, including data loading, preprocessing, forward and backward passes, and serving latency * Write automated tests covering expected ...

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

Services of the platform include data preprocessing, AI model fine-tuning, inference oversight and MLOps for AI solutions in production. For traditional enterprises that have an aspiration to ...

Senior AI/ML Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Perform feature engineering, data preprocessing, model selection, and hyperparameter tuning. * Develop scalable APIs and microservices for integrating ML models into enterprise applications.

New

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 ...

Showing results 41-60

Data Preprocessing information

See Emerson, NJ salary details

$47K

$168.8K

$249K

How much do data preprocessing jobs pay per year?

As of Sep 13, 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.

Quantitative Researcher, Systematic Macro

New York, NY • On-site

$150K - $200K/yr

Full-time

Re-posted 11 days ago


Millennium Management rating

7.0

Company rating: 7.0 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

Quantitative Researcher, Systematic Macro
Quantitative Researcher, Systematic Macro
Please direct all resume submissions to QuantTalentUS@mlp.com.
Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.
Job Description
A fast-growing, collaborative and entrepreneurial systematic investment team is seeking a highly skilled Quantitative Researcher with expertise in systematic macro strategies. The ideal candidate will contribute to alpha research, signal development, and strategy implementation in a dynamic and fast-paced environment. This role offers significant career growth.
Location
New York
Principal Responsibilities
  • Work closely with the Senior Portfolio Manager to develop systematic macro strategies, focusing on alpha research, including idea generation, data preprocessing, statistical analysis, backtesting and implementation.
  • Contribute to and enhance the internal research platform, including data pipelines, statistical learning tools, alpha analytics, and backtesting frameworks.
  • Independently explore and develop new alpha ideas while collaborating in a transparent and team oriented environment.

Preferred Technical Skillset
  • Strong research and programming skills, with proficiency in Python.
  • Solid experience with data analytics libraries (e.g., Pandas, SciPy, NumPy, Polars); extensive library-building experience is a plus.
  • Masters or PhD degree in a quantitative subject such as Applied Mathematics, Statistics, Physics, Engineering, Financial Engineering, Computer Science or related field from a top ranked university. Strong candidates with Bachelor's degree will also be considered.
  • Exceptional problem-solving abilities, intellectual curiosity (especially in alpha research), and a proactive research mindset.
  • Creativity and out of the box thinking, combined with rigorous quantitative analysis.

Preferred Experience
  • 2+ years of experience in quantitative research with a focus on systematic macro strategies.
  • Preferred experience in hedge fund alpha research in commodities, FX, equity and bond futures.
  • Experience in macro intraday strategies is a strong plus.
  • Experience in trading cost analysis is a plus.
  • Experience in machine learning is a plus.

Target Start Data
  • Up to 12 months (strong preference for candidates who can start sooner)

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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