Use our liaisoning experience
“Key governance areas impacting every citizen’s life, made pleasant and cost effective, would allow us to channel our energies towards a more meaningful purpose. HelpdesQ will support millions towards this.”
Gaurav Bakshi, Founder HelpdesQ
Work-Life at helpdesQ
Collaborative Environment
We are a fun start-up crew based in the historic Pioneer Building in Pioneer Square, the heart of original Seattle. A blend of techies, industry veterans, and newbies, our diverse experience makes us stronger. Whether we’re stepping out for team lunches and happy hours or respecting the quiet heads-down times during our day, we focus on making Attunely a great place to work.
Generous Benefits
We know there are plenty of start-ups to choose from in Seattle, so we work hard to ensure our benefits are competitive. With fully covered medical, dental, and vision for every employee, unlimited paid time off, and a generous parental leave program, we take care of our team. We offer healthy snacks and drinks, too.
Community Involvement
We value supporting the whole employee and giving back to our community. Twice a year we volunteer together at local projects – most recently at Treehouse for foster youth – and team members participate in their own communities. From supporting the homeless in Phoenix to rescuing and fostering dogs in Seattle, we are passionate about many things outside of our day jobs.
Growth-Minded Culture
Working at a true start-up has many benefits, and one of them is the potential to make it big. There is ample opportunity to have direct impact on product decisions, participate in learning and professional development activities, and take on legit leadership roles. If you like digging in and getting creative in a genuinely supportive environment, Attunely is the place for you!
Open Roles
Data Science
helpdesQ is looking for a Staff Data Scientist to join our highly experienced team! This role will work with our Data Science group to develop individualized ML models for our customers in the financial sector. The ideal candidate is adept at developing and improving predictive models, as well as rigorously evaluating their effectiveness. They must have significant experience at working with large amounts of data from multiple sources and at translating their insights into functioning code. They must be comfortable working across teams and with a range of stakeholders. The right candidate will have a passion for economic modeling and for working with stakeholders to improve business outcomes, as well a drive for personal growth within the data science field.
Responsibilities:
- Work with the Data Science team to develop machine learning models for customers.
- Use analytical methods to assess and improve models.
- Researching new features and data sources for model improvement.
- Work with the sales team to present analysis of model performance to customers.
- Make improvements to the model creation pipeline (Python & Spark).
- Assist in cleaning and structuring data.
Qualifications:
- Experience with creating machine learning models for use in an economics context.
- Excellent written and verbal communication skills for coordinating across teams.
- Significant experience extracting insights from large data sets.
- Experience testing hypotheses or models for accuracy against new data sets.
- Experience using computer languages to manipulate and process data.
- Significant data science experience, ideally including an advanced degree in a data-heavy quantitative field.
- Experience with Python.
- Experience with Apache Spark is a plus.
Email your CV at hello@helpdesq.in
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