Director of Data Engineering and Data Science

San Francisco, California
US$220000 - US$350000 per annum

Remote or Portland, NY, Waterloo, SF

Director of Data Science/Engineering

San Francisco Bay Area

Base Salary 220,000-340,000 + equity

The Company:

We are transforming the way telecom companies should treat their customers - with great customer service and full transparency. We are profitable and do not do any funding and are the Market leader for the voice and telecommunications state. Our app has over 5 bilion at impression and data has been downloaded more than 200 million times. We have 14 million active users and our company is putting a lot of effort into the Data and technology.

The Role:

As the Director of Data Science/Engineering:

  • Be a hands on leader who set up a vision and then execute it- Come in, assess the current state, figure out the overarching strategy for product and all Engineering and then deliver
  • Lead a team of talented engineers as they work across the stack and create new technologies
  • Be responsible for hiring new team members and mentoring them for their career growth
  • Work with internal stakeholders to identify new solutions and areas to dive into
  • Work across both teams to develop end to end ML pipelines
  • Innovate and continue to make the platform even better

Required Skills & Experience:

  • Expert development skills in Python or Java
  • Great knowledge of system architecture and data flows
  • Experience working in a cloud environment (AWS)
  • Understanding of ML algorithms
  • Developed and managed TB/PB scale pipelines

Benefits:

  • Unlimited PTO
  • Gym Reimbursement
  • Fully stocked kitchen
  • Catered meals
  • Semi-annual hackathons
  • Health/Dental/Vision Coverage

How to apply:

Please register your interest by sending your CV to Kyle Wong () via the Apply link on this page

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DDET
San Francisco, California
US$220000 - US$350000 per annum
  1. Permanent
  2. Big Data

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Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Computer Vision in Our Day-to-Day Lives

We make micro adjustments every day to what we wear, how we shop, and how we drive. Our healthcare and industrial verticals are working with AI and Computer Vision to enhance our experiences from the user to the professional. There are a variety of computer vision applications to make life easier, more efficient, and safer. In other words, our computers have eyes. Every industry, it seems, is now touched by Computer Vision. From retail to healthcare to agriculture to banking, AI technology combines with deep learning and machine learning to help computers “see” where a car goes, an individual’s health, and what outfit might look best for any given outing. So, let’s take a look at some of the industries currently using Computer Vision. AUTOMOTIVE Human error and distractions often lead to car accidents and fatalities. According to the WHO, it’s estimated traffic accidents will be the seventh leading cause of death by 2030. To help alleviate this prediction, there is work being done on a self-driving car with sensor technology. Though autonomous cars have been tried before, this next incarnation has worked to ensure it can detect not only other cars and other large obstacles, but also pedestrians and cyclists at a distance. As it navigates through the streets autonomously, it follows traffic regulations as well as detect hand signals, and more. Efforts to train the vehicles use deep learning to predict, plan, and map its way through various scenarios. HEALTHCARE The advent of Computer Vision in technology has been a boon to the industry. It can help determine conditions of illness, reduce or eliminate misdiagnoses, and can even monitor blood loss during medical situations.  Captured images on items such as surgical sponges can be processed using Computer Vision using Machine Learning. In comparison with the human eye, the computer’s estimates were more accurate.  RETAIL  Retail has been at the forefront of many changes within the tech industry. And now, as online shopping, e-commerce, and virtual events take over traditional venues and brick-and-mortar stores, even the task of trying on clothes has gone virtual. From a virtual mirror which uses Computer Vision to help identify what outfit looks best. What may be most appropriate in what situation. Something like a movie montage, but in real time for a real person.  Retail takes things a step further by stepping up security. Using Computer Vision, retail security apps can monitor what is being recorded, what has been taken from shelves, and items being fake scanned. This information and knowledge can lead to reduced theft and other losses in stores. While other industries such as banking and agriculture have also seen a rise in Computer Vision, it’s the above which we might see in our day-to-day lives sooner rather than later. ONE FINAL THOUGHT Business processes have shifted online, looking for your next job has become more daunting than ever before. But here’s the good news. Everyone’s on the same page. Leaders, hiring managers, recruiters, and prospective employees are all navigating a new way of doing business and finding talent to keep those businesses running. In the wake of work-from-home policies, remote working, and the shifting landscape of working outside the office, technology, and particularly biotechnology careers are prime opportunities to both gain increased knowledge in your chosen field or begin your career path.  If you’re interested in Big Data & Analytics or other Data professional opportunities, check out our current vacancies or contact one of our recruitment consultants to learn more.   For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

The Transformative Nature of Data Science

What does Data tell us? Why do we want to know the information we collect and analyze? How can Data help us now? Well, sometimes you have to go back to basics. Knowing your Data helps you make better decisions for the future. This is the transformative nature of Data Science.  The Data Scientists have collected is leading toward a vaccine for a novel virus. Our massive shift from in-house workers to working from home showed us where the gaps in our internet infrastructure existed. But, the information we gathered wasn’t just where the gaps occurred, it also offers a jumping off point for how we can use what we’ve learned to improve.  We know Data is essential to business today, but how we use it, and gathering what we can learn from it, offer transformative advantages we might have otherwise missed. WHERE DO WE GO FROM HERE? Data Science is what helps us interpret the massive amounts of Data we’ve collected. With an estimated 90 percent of Data created just in the last couple of years, and an estimated dearth of connected devices estimated to grow over 75 billion by 2025, the sheer volume is daunting. Yet we still have need for change. Technologies to interpret Data at such a massive scale still need someone to gather, collect, analyze, and interpret the information. What we’ve learned so far with Data Science shows us what must change to support health workers, the health of our employees, the support of remote workers and gig workers, and how businesses can differentiate themselves from their competitors in a post pandemic world. SEVEN WAYS ORGANIZATIONS CAN PREPARE FOR THE FUTURE Prioritize Digital Collaboration As employees begin to return to ‘normal’ work hours, Gartner suggests 48% of employees will work remotely. This is an 18% increase pre-pandemic. So, when hiring managers take stock of their employees, they’ll want to consider things such as productivity and performance management and how workers are evaluated based remote working touchpoints rather than established criteria of employee performance management.Ensure Inclusivity of Employees  Bring employees into more critical roles and give them the freedom to make mission critical decisions. Open Up Opportunities and Develop Critical Skillsets Coach employees on how to develop critical skills for a variety of roles, rather than focusing on one particular role.Be Flexible The days of doing things ‘the way we we’ve always done’ are gone. It’s time to reassess, reevaluate, and prepare your employees for success. How? Consider what may may be needed for a given role’s development path. Do your employees need reskilling or upskilling?  Flexible careers. The gig economy. The freelance economy. Contractors. All these titles and labels offer flexible learning and training allowing your business to pivot smoothly and efficiently as needed. Training is the key here and it will help employees transition into other organizations, into roles with greater responsibility, and allow both your employees and your organization to adapt to changes more quickly.Teach Employees to Respond Rather than React Structure your organization and employee response to quickly course correct. Don’t assume or target a core set of future skills. We don’t know what the future holds or what skills may be needed. But if you have employees with wide interests, your business may be better positioned to make changes as needed. Implement a Culture of Inclusiveness – Remote vs. In-House Employees Diversity is an important part of any business. But with the rise of remote workers, it’s time to ensure all workers are supported in regard to healthcare coverage, mental support, and financial health pre-and post-pandemic. Inclusiveness can help to engage those workers both in-house and remote to ensure everyone feels part of the team. Devices such as VR, AR, video calls, and more can help to make every employee feel part of the company culture.Encourage Data Literacy Throughout Your Organization Everyone in your organization will need to be Data literate. Yet everyone will be at a different level of literacy. Here it’s important to define both the skills and capability. Once your leadership has a firm grasp of the Data provided to them by your Data Scientists and business intelligence analysts, then they’ll have a starting point from which to make informed decisions. Building a culture of Data begins with leadership. Are you ready for the role or are you an organization looking for someone to fill this role? Business processes have shifted online, looking for your next job has become more daunting than ever before. But here’s the good news. Everyone’s on the same page. Leaders, hiring managers, recruiters, and prospective employees are all navigating a new way of doing business and finding talent to keep those businesses running.  If you’re interested in Big Data and Analytics or other Data professional opportunities, check out our current vacancies or contact one of our expert consultants to learn more.   For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

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