Senior Data Scientist
Anywhere in Australia
Applications have closed
Linktree
Join 25M+ people and link to everything you create, share and sell online. All from the one bio link.To learn more about how we work (and get the 101 on our $6K AUD flexible benefits package), keep reading.
P.S. If you donât tick every box in this ad, please donât rule yourself out just yet. Weâve seen the research that people from underrepresented backgrounds tend to only apply when the checklist is all ticks. We take pride in inclusion and hiring incredible human beings with great potential over ticking boxes â so if this role resonates with you, hit that apply button!
What you will own
As a Senior Data Scientist at Linktree, youâll contribute to various data-led initiatives. Youâll work with large volumes of data to develop meaningful insights, and build high-quality machine-learning powered data products that enable our users to make more informed decisions online. The key focus to start with is our linker recommendation system. In collaboration with machine learning and application engineers, youâll take ownership of delivering solutions end-to-end, empowering linkers to get the most from our product. Â
When requirements arise you will step up to develop end-to-end analytical products using the tools and techniques, including machine learning and statistical techniques. Youâll be actively focused on building foundations, defining reusable patterns, and automation testing.Â
With a great level of intellectual curiosity and creativity youâll innovate to go beyond constraints and current tooling to deliver the best solutions to complex problems. You will have the skill and interest to collect, organise, analyse and present large amounts of information with high attention to detail and accuracy.Â
What we're looking for
- 4+ years of Data Science ExperienceÂ
- Experience in Python and with some analysis libraries (numpy, scikit-learn, tensor flow, pandas, pytorch)Â and SQL is a must
- Experience working with event-oriented data sets of large size, unstructured events and diverse schemas in cloud databases
- Working knowledge of data processing tools/libraries like Dask, Spark, Glue.
- Experience with various data science concepts; regression modelling, clustering, classification, optimisation
- A deep understanding of feature engineering, feature selection, modelling, evaluation and other practical machine learning techniques hyper-parameter tuning, distributed training, data lineage, drift
- Applied ML experience with the Science portion of building end to end data/ML services/solutions in any of the domains such as computer vision, natural language processing, time series analysis
- Experience with or interest in operationalising ML and adopting MLOps principles in collaboration with other ML practitioners on the team like ML Engineers and MLOps Engineers.
- Some familiarity with AWS services like Lambda, API Gateway, Kinesis, Sagemaker is preferred but not required
- Strong analytical and critical thinking skills
- High level of attention to detail and accuracyÂ
- Strong communication skills â verbal and written â to be able to break down complex topics into simple solutions and ideas.
- Strong collaboration mentality.
- Passion for growth and scale, and an understanding of the ambiguity that can come with this.
Where & How We Work
We are a global, diverse group across age, gender, and race and offer a truly flexible and family friendly work environment. Kids, pets, and the occasional delivery person are all actively encouraged to appear on our Zoom screens. All of us at Linktree work either fully remote or a hybrid "remote, but in-office sometimes" approach and that will continue even when COVID is behind us.
We currently have offices in Melbourne, Sydney and LA is coming next, but our team is spread across Australia, United States, and New Zealand. Growing from 20 people in early 2020, to 50 in 2021 and over 200 in 2022, Linktree is still growing!
Being globally distributed doesn't mean working to one timezone and we offer autonomy and flexibility in how you structure your days and weeks. There will be the need for some collaboration outside of a "normal" 9-5 being a global company, but we aim to work asynchronously where possible.
Our Culture & Benefits
Linktree's company culture and values are based around collaboration, diversity, inclusion, and flexibility. Those are all nice words but to give you some more specific examples:
- We recognise that each person is unique and have designed our benefits with this in mind. Each person has up to $6000 AUD annually to spend across Wellness, Growth, Lifestyle, and Impact pillars. This could be spent on things like (but not limited to): fitness memberships, development courses, books, childcare, pet insurance, mental health support, bike equipment, travel, or green energy initiatives.
- Employee Stock Option Program - we want each and every employee to share in the companyâs success as we go further together.
- We have a paid 18-week parental leave program that is inclusive of birth and non-birthing parents and supports the whole parenting lifecycle. We also offer 4 weeks of paid leave for early pregnancy loss and the full parental leave for later pregnancy loss, in addition to a support program.
- We are proud to offer all regular full-time and part-time employees 20 hours paid volunteering leave per calendar year.
- Flexibility is at the core of Linktree, so whether you prefer fully remote, the office, or a bit of both, the choice is up to you. We trust you to get the work done.
- We have several diversity and inclusion initiatives underway, including a D&I council, training for all staff on neurodiversity, unconscious bias, and the incorporation of a transpositive inclusion policy.
- We prioritise our team's mental health, with all employees having free access to Headspace and Uprise, including 1:1 coaching sessions from qualified psychologists or counsellors.
- All Linktree staff receive $1000 AUD towards setting up their work from home space.
The Linktree Story
We created and defined the âlink in bioâ category in 2016 to solve a common pain point for creators, brands and businesses: they had no way to consolidate their content and digital identities. The internet was becoming increasingly fragmented, so we launched a simple tool that allows anyone to manage their corner of the digital universe. Weâre giving our users control of how the world discovers them â because why should you be defined by only one link?
Fast forward to 2022: Linktree is now used by some of the worldâs biggest brands including TikTok, the LA Clippers, The UN Environmental Programme, Manchester United, and Wear it Purple, as well as celebrities including Selena Gomez, Alicia Keys, Shawn Mendes, and Dwayne 'The Rock' Johnson.
With close to 40,000 signups per day (and no sign of stopping), weâre on a mission to empower anyone to curate and grow their digital universe â come join us for this ride!
At Linktree, we celebrate and support everyoneâs perspective and background, and weâre proud to be an equal opportunity workplace. We aim to foster a diverse and inclusive environment where all team members have a sense of belonging, because we believe in going further together. Linktree welcomes all people regardless of sex, gender identity, race, ethnicity, disability, pregnancy, age, or other lived experience.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: APIs AWS Classification Clustering Computer Vision Engineering Feature engineering Kinesis Lambda Machine Learning MLOps NLP NumPy Pandas Python PyTorch Research SageMaker Scikit-learn Spark SQL Statistics TensorFlow Testing
Perks/benefits: Career development Flex hours Flex vacation Health care Insurance Parental leave Pet friendly Startup environment Team events Wellness
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