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Data Scientist

Pay
Pay not listed
Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Extract insights from complex data sets to support decisions

  • Work with cross-functional teams to identify and address business challenges

  • Apply data processing and feature engineering to build solutions

  • Clean, preprocess, and analyze large datasets

From the employer’s posting
extract insights from complex data sets, driving informed decision-making and strategic direction
collaborate with cross-functional teams to identify, evaluate, and address business challenges
employing your skills in data processing, feature engineering, and data visualization to create effective solutions
Ability to clean, preprocess, and analyze large datasets to extract meaningful insights

What you’ll bring

All qualifications

Core experience

  • 3+ years of experience in data science, analytics, or related fields
  • Python or R with libraries such as Pandas, NumPy, Scikit-learn
  • Bachelor's or Master's in Computer Science, Engineering, Statistics, Applied Mathematics, or related field
  • Statistical analysis and predictive modeling, including regression and hypothesis testing
  • Data visualization tools such as Tableau, Power BI, or Matplotlib

Preferred experience

  • Experience with big data technologies, such as Hadoop, Spark, or related tools, is a plus
Qualification wording
3+ years of experience in data science, analytics, or related fields
Proficiency in Python or R and familiarity with relevant data science libraries (Pandas, NumPy, Scikit-learn, etc.)
Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Applied Mathematics, or a related field
Knowledge of statistical analysis techniques, such as hypothesis testing, regression analysis, and predictive modeling
Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn, ggplot, etc.)
Experience with big data technologies, such as Hadoop, Spark, or related tools, is a plus
Education & alternatives
Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Applied Mathematics, or a related field - 3+ years of experience in data science, analytics, or related fields
Apply at Ollang

Posting record

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Open 4 monthsWe first saw this posting 126 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 3, 2026126 days ago
Recorded sightings
42
Last seen by us
Nov 6, 2026
Employer says posted
Mar 21, 2023

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 126

Up longer than most. Similar jobs usually come down between day 7 and day 56.

From 10,434 similar postings that came down. Coming down is not always a hire.

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • Hadoop
  • Power BI
  • Spark
  • Tableau
  • Matplotlib
  • NumPy
  • pandas
  • scikit-learn
Where the posting names them
- 3+ years of experience in data science, analytics, or related fields - Proficiency in Python or R and familiarity with relevant data science libraries (Pandas, NumPy, Scikit-learn, etc.) - Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn, ggplot, etc.)
- Ability to clean, preprocess, and analyze large datasets to extract meaningful insights - Familiarity with SQL and experience working with relational and non-relational databases - Excellent problem-solving, communication, and collaboration skills
- Strong understanding of machine learning algorithms and their applications - Experience with big data technologies, such as Hadoop, Spark, or related tools, is a plus - Ability to clean, preprocess, and analyze large datasets to extract meaningful insights
- Proficiency in Python or R and familiarity with relevant data science libraries (Pandas, NumPy, Scikit-learn, etc.) - Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn, ggplot, etc.) - Knowledge of statistical analysis techniques, such as hypothesis testing, regression analysis, and predictive modeling

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,818.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Job Description

What will you work on?

 

As a Data Scientist, you will be responsible for leveraging your analytical and technical expertise to extract insights from complex data sets, driving informed decision-making and strategic direction. You will collaborate with cross-functional teams to identify, evaluate, and address business challenges, employing your skills in data processing, feature engineering, and data visualization to create effective solutions.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Applied Mathematics, or a related field
  • 3+ years of experience in data science, analytics, or related fields
  • Proficiency in Python or R and familiarity with relevant data science libraries (Pandas, NumPy, Scikit-learn, etc.)
  • Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn, ggplot, etc.)
  • Knowledge of statistical analysis techniques, such as hypothesis testing, regression analysis, and predictive modeling
  • Strong understanding of machine learning algorithms and their applications
  • Experience with big data technologies, such as Hadoop, Spark, or related tools, is a plus
  • Ability to clean, preprocess, and analyze large datasets to extract meaningful insights
  • Familiarity with SQL and experience working with relational and non-relational databases
  • Excellent problem-solving, communication, and collaboration skills
  • Eagerness to learn, innovate, and grow in a fast-paced environment

Additional Information

Perks for you!

 

Flat organization structure with a crackhead culture. 👻

 

Merit-based fast-growth environment. 🦸‍♀️

 

Meal Allowance. 🍔

 

Opportunity to work with clients and teammates from all around the world. 🧑🏻‍🤝‍🧑🏿

 

A team that works hard and parties harder. 🕺

 

Stock Option Program. 📜

 

20 paid vacation days. 🌴

 

A 13th salary following one year of service with the company. 💶

 

A wide range of online training courses. 📚

 

Summer and Winter Company Retreats 🚢

 

Rich referral program 👯

 

Brand-new technical setup 🖥️

 

An in-office ever-overflowing snack corner 🌯

 

Opportunity to work from different Ollang offices including Istanbul, Seoul, Dubai, and Paris offices. 🏢

 

 

Are you curious about what goes on behind the scenes in the making of a unicorn? Come become a unicorn-maker with us. Get ready for the world of Ollang.

 

But before that, let’s put you through a small translation test. What are we trying to tell you here?

Katıl nosotras se toi ont terbaik witze.

[Hint: We are multilingual. We can speak multiple languages in a sentence. We’re a showoff. 😉]

Company Description

What is Ollang?

 

We are running towards a borderless world where language barriers do not exist. We not only know it, but we work for it.

 

In pursuit of a globalized world, as the first end-to-end human-powered AI Dubbing start-up, Ollang alone has transcreated over 2 million minutes worth of content into more than 60 different languages so far, generating 3.5+ billion views worldwide, and telling inspiring stories to audiences. 🌏

 

We work with the biggest names in online streaming services like Netflix and YouTube, the entertainment sector, including ATV and TRT World, and production companies such as Ay Yapim and W4tch.TV, content creators like Marina Mogilko, and e-learning platforms like ClassDojo. 🎥

 

We are rushing towards the Series A round with our elite panel of investors like JIMCO, DAI, Orkun Isitmak, Hande Enes, Merzigo-KEY, Osman Alp Arli, Koray Bahar, to name a few.

 

Our culture relies upon freedom, empowerment, innovation, imagination, creativity, and self-discipline.

And now, we are looking for a high-performing Data Scientist who would become a member of this founding team of soon-to-be unicorn Ollang.

 

Sounds like you? Read the description below carefully and apply now! 💁‍♀️

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    Sarıyer, İstanbul, Turkey

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