Data Scientist Jobs

About TyrAds

We are a Mobile performance marketing agency focused on delivering new users for our clients. We do this primarily through showing your apps on Premium ad placements within alternative or get you access to large app developers ranging from 10 Million users to 1 Billion! All of our methods are done to help you find the users you need to grow your business to the next level.

We are a Singapore-Based, remote-friendly company founded by an enthusiastic team of industry professionals.

Find out more at www.tyrads.com

About the Role

We are seeking a highly skilled and motivated Data Scientist / Machine Learning Engineer to join our team. The successful candidate will be responsible for developing and implementing machine learning models, analysing data, and providing insights that drive business decisions. The ideal candidate should have strong analytical skills, experience with data modelling and machine learning algorithms, and the ability to work independently and collaboratively in a fast-paced environment.

Location:

Bali, Indonesia- in office

Details:

Entry Level (Experienced in the same field)

Pay scale:

400-800 USD (In-Line with your expertise)

Extras:

Great Office + Paid Holidays + Maternity/Paternity offs + experienced team to help you.

Come build the TyrAds with us.

Responsibilities:

1) Develop and implement machine learning models to solve complex business problems.

2) Analyse large, complex data sets to identify patterns, trends, and insights.

3) Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions.

4) Build and maintain data pipelines and ensure data quality and integrity.

5) Communicate findings and recommendations to technical and non-technical stakeholders.

6) Stay up-to-date with emerging technologies and data science techniques.

Skills & Experience Required:

To be considered for this role, here are the skills we’re looking for someone who would be able to;

1) Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.

2) Minimum of 2-3 years of experience in data science or machine learning roles.

3) Strong programming skills in Python, R, or other programming languages.

4) Experience with machine learning algorithms such as supervised and unsupervised learning, deep learning, and reinforcement learning.

5) Experience with data visualisation tools such as Tableau, Power BI, or D3.js.

6) Strong analytical and problem-solving skills.

7) Excellent communication and collaboration skills.

8) Experience with distributed computing frameworks such as Apache Spark, Hadoop, or Dask.

9) Experience with cloud computing platforms such as AWS, GCP, or Azure.

10) Experience with natural language processing (NLP) and computer vision (CV) applications.

11) Experience with software development practices such as version control, code reviews, and testing.

Benefits of working at TyrAds

1) We have a supportive team atmosphere and a positive work environment.

2) Pay Rate is determined by experience and bonus from on-time deliveries.

3) Wear anything you like to the office – and be as comfortable at work as you are in your own living room.

4) Personal improvement plan, on job assistance.

5) In-office: daily fruit + juice + snacks, good coffees.

6) In-office: multiple workplaces, creative stations, excellent work environment.

Key Points:

Great culture: Innovation, progressive responsibilities, awesome team building, Employee engagement, Recognition and experienced productive team that will value you.

Hybrid Team: Global offices with teams in Europe and Asia

Interested?

Reach out with your motivation to join,

share your CV and jump on an initial call

Send your CV to [email protected]

TyrAds Pte Ltd. believes in Equal Employment Opportunity:

We hire for knowledge, potential, and passion. We don’t consider nationality or background in hiring and/or our process. Some roles are open to only Indonesian Nationals, and those roles are noted as such.

Privacy:

We keep your information and details private throughout the hiring-process, and will NEVER share your information with ANY third-parties.