Hire Data Scientists

Gain the competitive edge that only advanced data science can provide. Our dedicated professionals can help you leverage advanced analytical techniques and unlock hidden value in your information assets.

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    for responsible data protection

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    for scalable solutions

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How to Hire a Data Scientist With Beetroot

We work with a diverse network of data scientists, each bringing unique knowledge and business acumen across machine learning, deep learning, natural language processing, and statistical modeling. Because every moment counts, we’re committed to a rapid process for matching you with the best-fit candidates. Meet the data scientists you can work with:

  • $85/h

    Senior Data Scientist

    Magdalena R., 10+ years of experience
    A highly experienced data scientist with a proven track record of leading complex data science projects from inception to deployment. Expertise in developing and implementing advanced ML models, conducting statistical analysis, and providing actionable insights to drive business decisions.
    • Apache Kafka / AWS Kinesis / Airflow / AWS Glue
    • Cloud Platforms: AWS, Azure, GCP
    • Keras / TensorFlow / PyTorch
    • Processing: Hadoop, Spark, PySpark
    • Python
    • R
    • Scikit-learn / Statsmodels
    • SQL (query optimization, window functions)

    Request full CV

  • $65/h

    Senior Data Science Consultant

    Dimitar I., 10+ years of experience
    Dimitar leads data strategies along with predictive model development. His work spans multiple industries, delivering tailored solutions. He is an expert in transforming raw data into insights that drive operational efficiency.
    • Backend
    • Python (Django/Flask/Fastapi)

    Request full CV

  • $58/h

    Mid-Level Data Scientist

    Nazar B., 5+ years of experience
    Proficient in statistical and ML techniques to solve business problems. Experience in collecting, cleaning, and analyzing large datasets, building predictive models, and communicating findings to stakeholders. Adept at working with various data sources and utilizing data visualization tools.
    • BI tools (Power BI, Tableau, Looker Studio)
    • Data processing (PySpark)
    • Jupyter
    • Keras / TensorFlow / PyTorch
    • NumPy
    • Pandas
    • PostgreSQL / MySQL / SQL (general) / Snowflake / Redshift
    • Python
    • Scikit-learn / Statsmodels

    Request full CV

  • $60/h

    Data Science Automation Engineer

    Olena S., 8+ years of experience
    Olena excels in automating data pipelines and integrating ML solutions into existing systems. Her expertise ensures scalable, secure data management and continuous improvement in predictive analytics, empowering your business with reliable insights.
    • Backend
    • Python (Django/Flask/Fastapi)

    Request full CV

  • $50/h

    Data Scientist & LLM Engineer

    Mohammed S., 5+ years of experience
    Mohammed translates theory into real-world success. He merges standard NLP with generative modeling to refine automation for client workflows.
    • Data Science
    • LLMs
    • NLP

    Request full CV

  • $48/h

    Machine Learning Engineer (Mid-level)

    Alex F., 4+ years of experience
    Alex has worked on projects ranging from customer segmentation to demand forecasting. He builds and refines ML models using Python, TensorFlow, and scikit-learn. He’s strong in data preprocessing and feature engineering and is comfortable deploying models in production using Docker and AWS.
    • Apache Kafka / AWS Kinesis / Airflow / AWS Glue
    • Keras / TensorFlow / PyTorch
    • NumPy
    • Orchestration: Kubernetes, Docker
    • Pandas
    • Python
    • Scikit-learn / Statsmodels
    • SQL (query optimization, window functions)

    Request full CV

Is it time to hire data scientists?

Organizations often reach a tipping point where basic analytics no longer answer the critical questions driving business decisions. While you don’t need perfect data to begin, having basic data collection systems in place gives data scientists the raw materials to generate value. Key situations that signal it’s time to hire offshore data scientists include:

  • Predicting Future Outcomes

    Your business decisions increasingly rely on predicting future outcomes rather than just understanding past performance.

  • Untapped Data Assets

    You’ve accumulated substantial data assets across your organization but lack the specialized skills to extract maximum value from them.

  • Complex Business Problems

    You face problems that require sophisticated statistical modeling, machine learning, or AI solutions beyond your current team’s capabilities.

  • Intelligent Automation

    You need to automate decision processes or develop intelligent products that can adapt to user behavior or changing conditions.

  • Find your data scientist:

Our Expertise in Data Science

With backgrounds ranging from computational statistics and mathematics to computer science and specialized domain knowledge, our team brings a multidisciplinary approach to every project.

  • AI Strategy Consulting

    Our data scientists provide strategic guidance on how to leverage AI and ML within your organization, including identifying high-value use cases, developing implementation roadmaps, and addressing ethical considerations.

  • Data Pipeline Development

    Design and implement data pipelines that automate the collection, processing, transformation, and storage of data from multiple sources, eliminating data silos and ensuring consistent data quality.

  • Predictive Analytics Solutions

    Build custom predictive models that forecast business outcomes with high accuracy, so you can proactively address challenges, optimize resource allocation, and spot opportunities before competitors.

  • Computer Vision Applications

    Create systems that analyze and interpret data from images and video streams for quality control in manufacturing, visual inspection, object detection for retail analytics, and medical image analysis.

  • Recommendation Systems

    Recommendation engines suggest relevant products, content, or actions based on user preferences, driving increased engagement, higher average order values, and improved customer satisfaction.

  • Time Series Forecasting

    Custom time series models predict critical business metrics, accounting for seasonal patterns, long-term trends, and external factors, to inform inventory management, resource planning, and budgeting.

  • ML Model Optimization

    Through hyperparameter tuning, feature engineering, and algorithm selection, we improve the performance of your ML models, extending the value of existing AI investments while reducing computational costs.

  • Anomaly Detection Systems

    Anomaly detection systems monitor data streams to identify unusual patterns that may indicate fraud, equipment failure, or security breaches, minimizing downtime and enhancing operational resilience.

Find the right data science expertise for your goals:

Cost of Hiring Data Scientists

The cost of hiring data scientists depends on several key factors: expertise level, project scope and complexity (specialized skills such as natural language processing or deep learning may require senior specialists), team size, and the employment model you choose.

If you consider cooperating with Beetroot, you can rely on transparent pricing.

  • Entry-level and supporting engineers start at $237 per day, or approximately $4,500 per month for short-to-mid-term engagements. For long-term engagements, rates start at $3,750 per month.

  • Mid-level positions start at $355 per day, or approximately $6,750 per month for short-to-mid-term projects. For long-term engagements, rates start at $5,625 per month.

  • Senior specialists start at $489 per day, or approximately $9,300 per month for short-to-mid-term projects. For long-term engagements, rates start at $7,750 per month.

Cooperation Models

Every organization has unique needs when it comes to data science talent. That’s why we offer various engagement options designed to align with your goals, timeline, and budget.

  • Dedicated Development Teams

    Best for long-term partnership

    Our dedicated team model allows you to hire full-time data scientists who work exclusively on your projects. You get specialists integrated into your team for the long term, while Beetroot supports recruitment and the administrative side of the engagement.

  • Project-Based Engagements

    Suited to specific, time-bound goals

    A project-based setup works well when the scope and expected outcome are clearly defined. Beetroot can take responsibility for a complete project or a specific workstream, with delivery organized into practical stages and regular checkpoints to keep the work aligned with agreed requirements.

  • Custom Tech Training

    Best for upskilling in-house teams

    Get practical online or on-site training tailored to your team’s current skills, technology stack, and learning goals. Sessions may focus on areas such as AI-assisted development, productivity, or cybersecurity, and other topics relevant to your team.

Not sure which model fits? Tell us about your data science goals:

Our Hiring Process

We offer a simple three-step journey. Once you select your ideal candidates, we handle all administrative aspects of the onboarding process.

  • Meticulous Candidate Vetting

    Step 1

    Our recruiters conduct thorough preliminary assessments, evaluating each candidate’s professional background, communication skills, and English proficiency before any technical evaluation.

  • Talent Network

    Step 2

    We maintain a dynamic database of data scientists who have successfully completed our evaluation process. This curated talent pool allows you to rapidly find the experts you need.

  • Onboarding Support

    Step 3

    We handpick experts who precisely meet your project requirements and offer further support, taking care of administrative tasks such as invoicing and workstation setup.

Freelancers vs. White-Label Tech Partner

When seeking data science expertise, you might consider engaging individual freelancers or partnering with a white-label tech company. The most suitable choice often depends on the scale of your project, your internal resources, and your long-term strategic goals.

Freelance Specialists

  • Cost-effective for targeted, well-defined tasks
  • Direct communication with the individual specialist
  • Highly specialized expertise in specific niches

White-Label Tech Partner

  • Consistent resource availability
  • Established quality assurance processes
  • Integrated workflow with development teams

Freelance Specialists

  • Project management responsibilities fall on the client
  • Scalability can be limited and dependent on individual availability

White-Label Tech Partner

  • Potentially higher overall investment
  • More formal communication channels

Freelance Specialists

  • Short-term projects with specific deliverables
  • Early-stage startups with fluctuating data needs

White-Label Tech Partner

  • Long-term product development and evolution
  • Organizations looking for consistent quality and continuity

Build your data science team:

Why hire data science developers with Beetroot?

Since 2012, we’ve been connecting organizations with software developers, building deep expertise in high-performing remote teams and empowering businesses with expert technical talent.

  • All-in-One Capability

    Beetroot offers end-to-end support across your entire data science journey. From initial strategy development through implementation, deployment, and ongoing optimization, our team assists at every stage of company and product development.

  • Sustainability at Our Core

    We believe technology should drive positive environmental and social impact. We carefully select data centers and cloud providers to minimize the ecological footprint of data-intensive projects while still delivering exceptional technical solutions.

  • Security

    Data science projects often involve sensitive information. We implement rigorous security protocols aligned with industry standards, including NDA coverage, secure development environments, and regular audits, and our data scientists are trained in privacy-preserving techniques.

  • Industry-Specific Expertise

    Our data scientists bring domain knowledge across multiple industries, including finance, healthcare, and greentech. They understand the unique challenges, regulations, and opportunities within your sector, so you work with professionals who speak your language.

  • Cultural Compatibility

    Technical expertise alone doesn’t guarantee success. We evaluate the working styles, communication preferences, and culture of your organization to match you with data scientists who integrate smoothly, accelerating time-to-productivity for new team members.

  • Flexible Terms

    Business needs and market conditions change. Our commercial agreements are designed with flexibility in mind, allowing you to scale teams up or down as requirements evolve and choose from multiple engagement models for effective resource planning.

Our Clients Say

Discover our impact through the lens of client success.

  • Victor Botev
    CTO & Founder, Iris.ai

    Beetroot AB has an education academy where they constantly develop new talent, which is very unique. The talent Beetroot AB provides is very skillful and up-to-date with technologies. I hadn’t seen the same extent with other service providers. Beetroot AB even suggests updates for our company regarding technologies when they’re training their team in a new tool.

Beetroot in Action

Here’s a closer look at some of our partnerships:

  • Land Life Company

    Discover how our experts in ML, computer vision, and AI created algorithms that process drone images and monitor tree health and growth, helping Amsterdam-based Land Life tap into new techniques and reignite their reforestation efforts.

    Read the full story

    • MongoDB
    • QGIS
    • AWS

Let’s discuss your data science needs.

Recruit data scientists with Beetroot. Fill out the form to get the details.

    FAQs

    Explore the most common questions about hiring dedicated data scientists, from screening and onboarding to engagement options and ML/AI expertise. We’ll be happy to answer yours in more detail.

    Nick Tykhomyrov, CBDO, Beetroot

    Nick Tykhomyrov

    CBDO