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Temporary Data Science Contract Jobs in Colonia, NJ

Data Science Tutor

Elizabeth, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Jersey City, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Summit, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Westfield, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Hoboken, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Paterson, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Data Science Tutor

Clifton, NJ · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Contract Compensation: $60-$70/hour Location: Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale predictive modeling and multi-stakeholder analytics governance ...

Contract Compensation: $120-$170/hour Location: Remote Role Responsibilities * Design precise, task-specific grading criteria for real-world data science deliverables such as analyses, models ...

Lead, Data Science Internal Audit

Plainfield, NJ · On-site

$96K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data science methodologies align with audit standards and compliance requirements. * Build ... Apply NLP techniques to analyze unstructured data sources (e.g., contracts, emails, transaction ...

Lead, Data Science Internal Audit

Plainfield, NJ

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data science methodologies align with audit standards and compliance requirements. * Build ... Apply NLP techniques to analyze unstructured data sources (e.g., contracts, emails, transaction ...

What you will do Join us as our first dedicated Data Scientist to bring order to the chaos of ... Offer, contract signing and onboarding Note : As we are still in stealth, you will learn more about ...

Data Scientist

Manhattan, NY · On-site

$75 - $80/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Start date is ASAP for this contract position. Job Title: Data Scientist, Audience & Growth Location-Type: Hybrid - New York, NY (must currently permanently reside within 50 miles of NYC) Start Date:

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Temporary Data Science Contract information

What are some common challenges faced by data scientists working on temporary contracts, and how can they be addressed?

Temporary data science contractors often face challenges such as limited time to familiarize themselves with company-specific data and tools, quickly building relationships with existing teams, and delivering impactful results within tight deadlines. To address these, it is helpful to clarify project goals early, request clear documentation, proactively communicate with stakeholders, and prioritize tasks effectively. Building rapport with team members and staying adaptable can also make onboarding smoother and help ensure a successful contract engagement.

What is a temporary data science contract?

A Temporary Data Science Contract is a short-term employment arrangement where a data scientist is hired to work on specific projects or tasks for a defined period. These contracts are common when companies need specialized expertise for a limited duration, such as data analysis, model building, or supporting a product launch. Contractors typically work independently or as part of a team and are not considered permanent employees, which allows businesses flexibility in managing resources and budgets.

What is the difference between Temporary Data Science Contract vs Data Analyst?

AspectTemporary Data Science ContractData Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldUsually requires a degree in data analysis, statistics, or related field
Work EnvironmentProject-based, often in tech, finance, or healthcare industriesBusiness environments, focusing on data reporting and visualization
Employer UsageUsed for short-term projects or filling skill gaps temporarilyOften a permanent or long-term role within organizations
Search & Comparison IntentCommonly compared for project-based roles with data analysis tasks

The main difference is that a Temporary Data Science Contract is a short-term, project-focused role requiring specialized data science skills, while a Data Analyst role is often more permanent, focusing on data reporting and insights within a business environment.

What are the key skills and qualifications needed to thrive as a temporary data science contractor, and why are they important?

To thrive as a Temporary Data Science Contractor, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, data visualization tools such as Tableau or Power BI, and experience with SQL databases are often required, and certifications in data science or analytics can be beneficial. Excellent communication, adaptability, and problem-solving abilities help you quickly integrate into teams and deliver actionable insights on tight deadlines. These skills are crucial for delivering high-impact results in short-term projects and meeting client expectations efficiently.

What cities near Colonia, NJ are hiring for Temporary Data Science Contract jobs?

Cities near Colonia, NJ with the most Temporary Data Science Contract job openings:

Data Science Specialist

Adidev Technologies Inc

Manhattan, NY • Remote

Full-time

Re-posted 26 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