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- Tasks: Prototype machine learning models and analyse data for impactful insights.
- Company: Join Sensor Tower, a leader in market intelligence for the digital economy.
- Benefits: Flexible time off, health stipends, and a supportive work environment.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Master’s degree in relevant fields and experience in data science or analytics.
- Other info: Collaborative culture with opportunities for professional growth.
The predicted salary is between 28800 - 48000 £ per year.
About this role:
About the Role
Data Scientists at Sensor Tower are hybrid Data Scientists and Software Engineers. You would take data all the way from doing initial analysis to building data pipelines to final model implementation and monitoring. Data Scientists take full ownership of the back-end of the products they’re working on. We are looking for a hands-on thinker to help harvest new insights from our constantly growing foundation of quantitative information collected from the mobile app ecosystem.
What You Will Work On
- Prototype machine learning models in Python or Ruby.
- Analyze query performance to ensure calculation efficiency.
- Write tests for the implementation of machine learning models.
- Collaborate with back-end engineers to understand the raw data being collected.
- Collaborate with front-end engineers to create data visualizations for both external and internal customers.
- Conduct ad-hoc data analysis based on requests from the Sales, CSM or Contents team.
- Present results of various data analysis.
Experience We Are Looking For
- Master’s degree or above in mathematics, statistics, or computer science.
- 3+ years applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries OR 2+ years applied experience in data science in mobile market intelligence.
- Ability to write code that is ready for production (Python and Ruby preferred).
- Experience with adjusting data for bias.
- Substantial experience with databases, querying data, and data structure manipulation.
- Ability to communicate effectively with technical developers and non-technical marketing business partners.
- Ability to produce rough timelines for deliveries plus solid understanding of steps necessary to complete a project.
- Ability to come up with a rough project structure from scratch.
- Ability to critically analyse given data, ask probing questions, and perform own research.
- Substantial knowledge of statistical modeling techniques.
- Mastery of one or more statistical visualization or graphing toolkits such as Excel, Jupyter Notebooks, or Google Spreadsheets.
About Sensor Tower
Sensor Tower cultivates responsibly sourced market intelligence that provides visibility into the trends shaping the global digital economy. Our customers use these insights to help them make better business decisions.
Why Sensor Tower?
Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!
Our benefits for full-time positions include:
– Flexible time off so employees can shape their time away from work.
– Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.
– Monthly internet stipend and a one-time $500 home office stipend.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we\’ll do our best to accommodate.
Fraud warning:
It\’s common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
Data Scientist (Jr/Mid) employer: Sensor Tower
Contact Detail:
Sensor Tower Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Jr/Mid)
✨Tip Number 1
Get your hands dirty with some real-world projects! Build a portfolio showcasing your data science skills, like prototypes of machine learning models or data visualisations. This will not only impress potential employers but also give you practical experience to talk about in interviews.
✨Tip Number 2
Networking is key! Connect with professionals in the industry through LinkedIn or local meetups. Don’t be shy to reach out for informational interviews; people love sharing their experiences and you might just land a referral!
✨Tip Number 3
When preparing for interviews, practice explaining your thought process clearly. Be ready to discuss your past projects, the challenges you faced, and how you overcame them. This shows your problem-solving skills and ability to communicate effectively with both technical and non-technical folks.
✨Tip Number 4
Always apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining Sensor Tower and that you’ve done your homework.
We think you need these skills to ace Data Scientist (Jr/Mid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, Ruby, and any relevant data analysis projects. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of your work, especially any machine learning models you've built or data visualisations you've created. This helps us understand your hands-on experience and how you approach problem-solving.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences quickly.
Apply Through Our Website: To ensure your application is considered, please apply directly through our website. This way, we can guarantee that your submission reaches the right people without any hassle!
How to prepare for a job interview at Sensor Tower
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in Python and Ruby. Be ready to discuss your experience with machine learning models and how you've implemented them in the past. This role is all about taking ownership of data, so show that you can handle it!
✨Show Off Your Collaboration Skills
Since you'll be working closely with both back-end and front-end engineers, highlight any past experiences where you've successfully collaborated with technical and non-technical teams. Prepare examples of how you communicated complex data insights to different audiences.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on querying databases, data structure manipulation, and statistical modelling techniques. Practise explaining your thought process when solving data-related problems, as this will demonstrate your analytical skills.
✨Bring Your Own Insights
Before the interview, think of a few interesting insights or analyses you've conducted in the past. Be ready to present these during the interview, as it shows your ability to critically analyse data and come up with actionable insights, which is key for this role.