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943 Data Science Developers to hire
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Kostyantyn, Nazar & Borys
Middle+ Data Science Team
$
18300
/
month
Ukraine
English

A collaborative data science team with 4 years of experience building machine learning pipelines and predictive models. They specialize in Python (Pandas, Scikit-learn, TensorFlow), data visualization with Matplotlib and Plotly, and real-time analytics using Apache Kafka. Skilled in feature engineering and hyperparameter tuning to improve model accuracy.

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Felipe, Bruno & Beatriz
Senior Data Science Team
$
20700
/
month
Brazil
English

A results-driven data science team with 5 years of experience in large-scale data engineering, ETL pipeline development, and feature extraction. They use Spark, PyTorch, Airflow for workflow automation, and Snowflake for cloud data warehousing. Experienced in data-driven business intelligence solutions for enterprise clients.

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Alejandro, Andres & Nicolas
Senior Data Science Team
$
23520
/
month
Colombia
English

A senior data science team with 6 years of expertise in developing scalable data platforms and deploying models in production. They excel in MLOps with Kubernetes, Docker, and MLflow, ensuring automation and continuous delivery of machine learning models. Proficient in SQL-based data querying (BigQuery, PostgreSQL) and real-time analytics with Apache Flink.

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Vadym, Hryhorii & Lyudmila
Senior Data Science Team
$
25700
/
month
Ukraine
English

A data science team with 7 years of experience in advanced statistical modeling and big data processing. They utilize R for statistical analysis, TensorFlow/Keras for deep learning, and Apache Hive for large-scale data processing. Specialized in automating real-time decision-making systems using reinforcement learning.

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Jan, Tomas & Lukas
Senior Data Science Team
$
28930
/
month
Czech Republic
English

A high-performing data science team with 8 years of experience in deep learning architectures and AI-driven solutions. They specialize in NLP with BERT and GPT models, computer vision using OpenCV and YOLO, and model optimization through pruning and quantization. Experts in automating AI pipelines with Apache Airflow and Dask.

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Marek, Krzysztof & Michał
Senior Data Science Team
$
29680
/
month
Poland
English

A lead data science team with 8 years of experience guiding enterprise AI strategies and scalable machine learning infrastructures. They integrate AutoML solutions with Google Vertex AI, manage data pipelines with Databricks, and develop AI-powered recommendation engines. Skilled in vector search and embeddings with FAISS.

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Pavlo, Borys & Taras
Lead Data Science Team
$
35400
/
month
Ukraine
English

A top-tier data science team with 10 years of experience in complex data ecosystems, data governance, and AI ethics. They specialize in federated learning for privacy-preserving AI, time-series forecasting with Prophet, and scalable AI solutions using TensorFlow Extended (TFX). Experts in enterprise data lakes and governance with Apache Iceberg.

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How we compare versus

Matching period
Months
47 hours
Talent markup
60-70%
$0
Free replacement period
Weeks
all-time
Vetting
unknown
5 step + ai human vetting
Overhead costs
high
NO
Matching period
Months
47 hours
Talent markup
HR operation costs
$0
Free replacement period
NO
all-time
Vetting
non-engineer recruiters
5 step + ai human vetting
Overhead costs
very high
NO
Matching period
weeks
47 hours
Talent markup
30-70%
$0
Free replacement period
NO
all-time
Vetting
algorithmic
5 step + ai human vetting
Overhead costs
legal & dispute fees
NO
Calculate my team’s cost

why wild.codes is different

6
X
faster than traditional hiring
Traditional hiring takes 40 days. Wild.Codes delivers pre-vetted candidates in 48 hours, with hiring done in 5-7 days — making it 6 times faster.
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$
3000
hiring cost
Traditional hiring costs $30K-$60K per hire, including recruitment fees, job posts, and compliance expenses. Wild.Codes offers a flat subscription with no extra charges.
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+
100
K\Y
savings per dev annually
US senior developer costs can exceed $150K annually. Wild.Codes offers equally skilled global talent for $90K. When factoring in overhead, taxes, and benefits, the total difference can reach $100K per year

Why Hiring a Data Science Development Team is Essential for Modern Businesses

A dedicated data science development team empowers organizations to unlock the full potential of their data, transforming raw information into actionable insights. From predictive analytics to data-driven decision-making, data scientists help businesses stay competitive by leveraging advanced statistical models and machine learning.

Companies like Google, Amazon, and Netflix rely on expert data science teams to optimize recommendations, personalize user experiences, and drive revenue growth. A professional data science team can uncover trends, reduce operational costs, and reveal untapped market opportunities.

The Essential Skills and Technologies for Data Science Teams

A highly skilled data science team should be proficient in a range of tools, technologies, and methodologies, including:

  • Programming Languages: Python, R, SQL, Scala.
  • Data Manipulation Tools: Pandas, NumPy, Dask.
  • Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-Learn.
  • Data Visualization: Matplotlib, Seaborn, Tableau, PowerBI.
  • Big Data Technologies: Hadoop, Spark, Databricks.
  • Cloud Platforms: AWS, Azure, Google Cloud.

Proficiency in these technologies ensures a team can manage complex datasets, build scalable models, and derive impactful insights.

How to Identify Elite Data Science Talent

Identifying the right data science development team involves assessing both technical expertise and analytical thinking. Key traits include:

  • Advanced Statistical Knowledge: Proficiency in statistical modeling and hypothesis testing.
  • Machine Learning Expertise: Hands-on experience with supervised and unsupervised learning models.
  • Data Engineering Skills: Ability to work with large datasets and data pipelines.
  • Problem-Solving Abilities: Creativity in finding patterns and solving complex data problems.
  • Collaboration Skills: Experience working in cross-functional teams.

Structuring Your Data Science Development Team for Maximum Insights

An optimized data science team structure ensures collaboration and coverage across all project phases. Recommended roles include:

  • Data Scientists: Core modeling and analysis work.
  • Data Engineers: Data pipeline and infrastructure management.
  • Machine Learning Engineers: Model deployment and optimization.
  • Data Analysts: Business reporting and insight delivery.
  • Project Managers: Ensuring timeline adherence and goal alignment.

What Determines Competitive Pay for Data Science Development Teams

Compensation for data science teams can vary significantly based on expertise and project scope. Key factors influencing pay include:

  • Average Global Team Salary: $400,000 – $900,000 annually.
  • Freelance Team Rates: $200 – $400/hour depending on specialization.
  • Senior Teams: $700,000 – $1.5M annually for advanced expertise.
  • Key Factors: Certifications, data complexity, project size, and domain expertise.

The Step-by-Step Process for Hiring a Data Science Development Team

Follow this structured approach for hiring a high-performing data science team:

  1. Define Your Data Goals: Clarify business objectives and required data outcomes.
  2. Outline Team Composition: Identify the necessary roles and skill sets.
  3. Craft a Clear Job Description: Highlight tools, technologies, and collaboration expectations.
  4. Source Talent from Trusted Networks: Leverage specialized talent platforms.
  5. Technical Vetting: Conduct model assessment challenges and statistical tests.
  6. Cultural Fit Assessment: Ensure alignment with company values and collaboration styles.
  7. Offer Competitive Compensation: Provide transparent team-based pay packages.

Why Wild.Codes Is Your Best Choice for Hiring a Data Science Development Team

Wild.Codes specializes in connecting businesses with elite data science teams ready to deliver transformative insights. Here’s why we stand out:

  • Elite Vetting Process: Rigorous assessments for both technical expertise and teamwork.
  • AI-Powered Talent Matching: Smart pairing with the right data science professionals.
  • Global Talent Access: Hire top-tier talent from Eastern Europe and LATAM.
  • Compliance & Payroll Management: Full handling of contracts and legal processes.
  • Flexible Hiring Models: Full-time, part-time, and project-based options available.

Ready to Hire? Let’s Get Started

Empower your business with cutting-edge data insights from a world-class data science development team. Let Wild.Codes help you find pre-vetted professionals ready to drive impactful results.

Hire a Data Science Development Team Now.

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