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Data Science Consultant Jobs (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Adidev Technologies is a growing software consulting company that is constantly expanding. As we ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Adidev Technologies is a growing software consulting company that is constantly expanding. As we ...

Greene Education

Science Consultant

Madison, MS · On-site

... in an educational consulting role * Strong communication and presentation skills * Highly ... Use multiple sources of data to establish educational goals and deliver professional development ...

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Stantec

Building Science Consultant

San Francisco, CA · On-site

$85K - $119K/yr

Our San Francisco office is seeking a junior-level Building Science Consultant to join our ... data organization. * Provide drafting and design support for contract documents using AutoCAD and ...

Stantec

Building Science Consultant

San Francisco, CA · On-site

$85K - $119K/yr

Our San Francisco office is seeking a junior-level Building Science Consultant to join our ... data organization. * Provide drafting and design support for contract documents using AutoCAD and ...

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How much do data science consultant jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for data science consultant in the United States is $44.89, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $60.10 per hour, depending on experience, location, and employer.

What are Data Science Consultants?

Data Science Consultants are professionals who use statistical analysis, machine learning, and data modeling to help organizations solve business problems and make informed decisions. They typically work with clients to understand their data-related challenges, develop tailored analytical solutions, and communicate actionable insights. Their expertise spans across data collection, data cleaning, predictive analytics, and data visualization, enabling businesses to leverage data for strategic advantage. Data Science Consultants often work on a project basis, either independently or as part of consulting firms, serving clients in various industries.

What are the key skills and qualifications needed to thrive as a Data Science Consultant, and why are they important?

To thrive as a Data Science Consultant, 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 (e.g., Tableau or Power BI), and cloud platforms is commonly required, along with certifications such as AWS Certified Data Analytics or Google Data Engineer. Excellent communication, problem-solving abilities, and business acumen help consultants translate complex data insights into actionable recommendations for clients. These skills are vital to deliver tangible business value, bridge technical and non-technical stakeholders, and drive data-driven decision-making.

How does a Data Science Consultant typically collaborate with clients and internal teams during a project?

Data Science Consultants work closely with both clients and internal stakeholders to understand business objectives, gather requirements, and translate them into analytical solutions. They often facilitate workshops or meetings to clarify goals, then collaborate with data engineers, analysts, and subject matter experts to design and implement models. Regular communication is essential, as consultants must present findings in accessible terms, adjust methodologies based on feedback, and ensure solutions are actionable for the client’s needs. This cross-functional collaboration is key to delivering value and building long-term client relationships.
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Data Science Consultant jobs near you
Data Science

Data Science

Adidev Technologies Inc

San Francisco, CA • Remote

Full-time

Posted 16 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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