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Remote Data Science Certificate Jobs in Hackensack, NJ

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Mercor

Enterprise Data Science Specialist

New York, NY · Remote

$60 - $70/hr

Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale predictive modeling and multi-stakeholder analytics governance at Fortune 500 accounts. * Build analytics ...

Mercor

Data Science Expert - AI Evaluation

New York, NY · Remote

$120 - $170/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for real-world data science deliverables such as analyses, models, dashboards, and experiment readouts. * Score AI ...

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

Bread Financial

Lead Data Scientist

New York, NY · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Shaped

Senior Data Scientist

Brooklyn, NY · On-site +1

$100K - $150K/yr

We're remote but have an office in Brooklyn, New York. We're looking for a Senior Data Scientist to help customers integrate and develop recommendation models using the Shaped Platform.

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All JobsData Science Certificate JobsRemote Data Science Certificate JobsRemote Data Science Certificate Jobs in Hackensack, NJ

Remote Data Science Certificate information

See Hackensack, NJ salary details

$40.9K

$133.9K

$214.3K

How much do remote data science certificate jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote data science certificate in Hackensack, NJ is $133,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $148,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced when pursuing a remote data science certificate while balancing work or other commitments?

Pursuing a Remote Data Science Certificate often requires strong time management skills, as balancing coursework with work or personal responsibilities can be challenging. Students may face difficulties staying motivated without in-person interaction and managing multiple deadlines for projects and assignments. To overcome these challenges, it’s helpful to establish a consistent study routine, actively participate in online forums, and seek support from instructors or peers. Many programs also offer flexible pacing to accommodate different schedules, which can make balancing commitments more manageable.

What is a remote data science certificate?

A Remote Data Science Certificate is a credential earned by completing a data science program that is delivered entirely online. These programs typically cover key topics such as statistics, programming, machine learning, and data analysis, allowing students to learn at their own pace from any location. Upon completion, graduates receive a certificate that can help demonstrate their skills and knowledge to employers in the data science field. Remote certificates are ideal for those who need flexibility due to work or personal commitments.

What is the difference between Remote Data Science Certificate vs Remote Data Analyst?

AspectRemote Data Science CertificateRemote Data Analyst
Required CredentialsCertificate programs, foundational data science skillsOften a degree in statistics, mathematics, or related field
Work EnvironmentProject-based, research, and development teamsBusiness intelligence, reporting, and data interpretation
Industry UsageTech, finance, healthcare, and research sectorsRetail, marketing, finance, and consulting firms
Search & Comparison IntentLearning pathways, certification programsJob roles, responsibilities, skills required

The Remote Data Science Certificate provides foundational knowledge and certification for those entering data science roles, often focusing on programming, machine learning, and statistical analysis. In contrast, a Remote Data Analyst typically focuses on interpreting data, creating reports, and supporting business decisions. While both roles work with data, the certificate prepares individuals for more technical, development-oriented tasks, whereas data analysts focus on data visualization and reporting within business contexts.

What are the key skills and qualifications needed to thrive as a data scientist working remotely, and why are they important?

To thrive as a remote Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a relevant degree or data science certification. Familiarity with programming languages like Python or R, machine learning frameworks, and cloud-based data platforms is essential. Excellent communication, self-motivation, and time management distinguish outstanding remote professionals in this field. These skills ensure you can independently analyze data, derive insights, and effectively collaborate with distributed teams to drive data-driven decisions.
What are popular job titles related to Remote Data Science Certificate jobs in Hackensack, NJ? For Remote Data Science Certificate jobs in Hackensack, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Certificate jobs in Hackensack, NJ look for? The top searched job categories for Remote Data Science Certificate jobs in Hackensack, NJ are:
Remote Data Science Certificate jobs near you
Infographic showing various Remote Data Science Certificate job openings in Hackensack, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,864 per year, or $64.4 per hour.

Data Science Specialist

Adidev Technologies Inc

Manhattan, NY • Remote

Full-time

Re-posted 23 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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