Simulmedia02.03.26
AI SCORE 8.5

Middle Data Scientist - Remote Opportunity

$90K–$120K/year

About the Role

Simulmedia is seeking a motivated Middle Data Scientist to join our innovative team. This remote position allows you to work from anywhere while contributing to our mission of revolutionizing the advertising sector through data-driven insights.

What You'll Do

  • Develop and maintain supervised machine learning models to support ad targeting, measurement, and campaign optimization.
  • Perform data analysis, data validation, and feature engineering on large and complex datasets.
  • Collaborate with product, engineering, and analytics teams to translate business needs into data science solutions.
  • Evaluate model performance using appropriate metrics and iterate on model improvements.
  • Support optimization and experimentation efforts related to advertising performance.
  • Assist with deploying models to production in collaboration with engineering teams.
  • Monitor model performance and help troubleshoot issues in production.
  • Communicate results, insights, and limitations to both technical and non-technical stakeholders.
  • Stay up to date with industry best practices in data science and machine learning.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • 2–4 years of experience in data science, machine learning, or a related analytical role.
  • Hands-on experience applying machine learning to real business problems.
  • Proficiency in Python and solid experience with SQL and relational databases.
  • Experience with machine learning libraries such as scikit-learn; TensorFlow or PyTorch is a plus.
  • Good understanding of supervised learning techniques including linear regression and decision trees.
  • Experience with data manipulation and analysis using pandas and NumPy.
  • Familiarity with model evaluation techniques and performance metrics.

Nice to Have

  • Basic understanding of working with production systems or machine learning pipelines.
  • Strong analytical and problem-solving abilities.
  • Clear communication skills and ability to explain technical concepts simply.
  • Strong organizational skills and attention to detail.
  • Comfortable communicating with U.S.-based teams.

What We Offer

  • Competitive salary ranging from $90,000 to $120,000 per year.
  • Flexible remote work environment.
  • Opportunities for professional development and growth.
  • Collaborative team culture with a focus on innovation.
  • Access to the latest tools and technologies in data science.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Middle Data Scientist role at Simulmedia offers a unique opportunity to work remotely while contributing to innovative advertising solutions. With competitive compensation and a focus on professional growth, it's an attractive position for data science professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficiency in Python and experience with machine learning frameworks like TensorFlow and PyTorch, enabling the development of robust predictive models for ad targeting.

Strong analytical mindset with a focus on data manipulation using Pandas and NumPy, ensuring accurate data preprocessing and feature engineering.

Self-motivated and capable of thriving in a fully remote environment, demonstrating discipline and effective time management to meet project deadlines independently.

Learning Resources

Python Data Science Handbookguide

Career Path

Middle Data Scientist(Now)Senior Data Scientist(1-2 years)Lead Data Scientist / Data Science Manager(3-5 years)

Market Overview

Market Size 2024
$20.2B
Annual Growth
19.5%
AI Adoption
75%
Investment
+120%
Labour Demand
+30%
Avg Salary
$120K

Skills & Requirements

Required
PythonSQLMachine Learning
Growing in Demand
Deep LearningData Visualization (e.g., Tableau, Matplotlib)Big Data Technologies (e.g., Apache Spark)
Declining
R ProgrammingExcel-based Analytics

Domain Trends

Increased Focus on Automated Machine Learning (AutoML)
The adoption of AutoML tools is rising, with 60% of organizations planning to implement these solutions by 2025, streamlining model development.
Integration of AI Ethics in Data Science
A recent survey indicates that 68% of data scientists are now prioritizing ethical AI practices, reflecting a growing demand for responsible AI solutions.
Rise of Edge Computing in Data Science
By 2025, 40% of data processing is expected to occur at the edge, necessitating skills in edge analytics and real-time data processing.

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