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Ollang

AI-powered multilingual media localization platform

Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeSarıyer/İstanbul, TürkiyeNo salary listedRemote

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Applied Mathematics, or a related field is required.
  • At least 3 years of experience in data science, analytics, or related fields is required.
  • Proficiency in Python or R and familiarity with relevant data science libraries, including Pandas, NumPy, and Scikit-learn, are required.
  • Experience with data visualization tools such as Tableau, Power BI, Matplotlib, Seaborn, or ggplot is required.
  • Knowledge of statistical analysis techniques, including hypothesis testing, regression analysis, and predictive modeling, is required.
  • A strong understanding of machine learning algorithms and their applications is required.
  • The ability to clean, preprocess, and analyze large datasets to extract meaningful insights is required.
  • Familiarity with SQL and experience working with relational and non-relational databases are required.
  • Strong problem-solving, communication, and collaboration skills are required.

Responsibilities

  • Leverage analytical and technical expertise to extract insights from complex datasets.
  • Collaborate with cross-functional teams to identify, evaluate, and address business challenges.
  • Employ data processing, feature engineering, and data visualization to create effective solutions.

Desired Qualifications

  • Experience with big data technologies such as Hadoop, Spark, or related tools is a plus.
  • Eagerness to learn, innovate, and grow in a fast-paced environment.

About the Company

Ollang

AI-powered multilingual media localization platform

Ollang provides end-to-end media localization through its OLabs platform, which translates and adapts video, audio, documents, and user interfaces into 120+ languages. It uses a centralized workflow to manage projects and order services such as AI-enabled subtitling, dubbing, and closed captioning. The system blends artificial intelligence with a network of human translators in a human-in-the-loop model, with a multi-agent setup handling tasks like transcription and cultural adaptation. Its goal is to enable global distribution of multilingual content for streaming services, broadcasters, e-learning platforms, and creators, offering flexible subscriptions, pay-as-you-go options, and API access.

Company size
201-500
Company stage
Seed
Total funding
$1.6M
Headquarters
Wilmington, DE
Founded
2020

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