Data & Technology Jobs in San Francisco

Latest Jobs

Salary

US$220000 - US$240000 per annum + bonus and benefits

Location

San Francisco, California

Description

Exciting new role within a growing team at a social media giant! Looking for an extremely technical Applied MLE to work within adtech.

Salary

US$176265 - US$198298 per annum

Location

San Francisco, California

Description

A really exciting opportunity for a talented Senior Data Engineer to join a fast paced team working in a global leading business.

Salary

US$135000 - US$155000 per annum + Bonus, Benefits, 401k

Location

Salt Lake City, Utah

Description

As an Infrastructure Engineer, you join a leading Biotechnology company that uses AI and machine learning in cellular drug discovery.

Salary

US$150000 - US$180000 per annum

Location

San Francisco, California

Description

Opportunity for an experienced DevOps Engineer.

Salary

US$155000 - US$205000 per annum + Bonus, Benefits, 401k

Location

San Francisco, California

Description

As a Sr DevOps Engineer, you will join a highly successful pharmaceutical company whose mission is improve patient lives through digital biology

Salary

US$180000 - US$200000 per annum

Location

California

Description

Series B start-up that just received 20M in funding and is looking to expand their Engineering team!

Salary

US$140000 - US$160000 per annum

Location

South San Francisco, California

Description

Data Engineer role for a unicorn start up.

Salary

US$180000 - US$220000 per annum

Location

San Francisco, California

Description

A cybersecurity business with their own innovative technology that is saving its users thousands of dollars.

Salary

US$160000 - US$195000 per annum

Location

San Francisco, California

Description

A really exciting opportunity for a talented Senior Data Infrastructure Engineer to join a fast-paced team working in a global leading business.

Salary

US$480 - US$520 per day

Location

Los Angeles, California

Description

Exciting opportunity for a Business Intelligence Analyst with a background in Marketing or Product at a promising streaming startup!

Salary

US$400 - US$560 per day

Location

San Francisco, California

Description

Salary

US$400 - US$480 per day

Location

San Francisco, California

Description

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.

How Machine Learning and AI Can Help Us See the Forest for the Trees

In the early days of 2020, Johns Hopkins, the CDC, the WHO, and a host of other public organizations banded together in collaboration. They were on a mission to ensure the world had real-time information to a virus that would forever chance the course of this year and the years to come. Which is great for those families with a computer in every home or every person with smartphone access. But what about the rest of the world? How do you ensure those people without access to basic needs lives can be improved? A health non-profit using AI and Machine Learning is aiming to do just this. But the Data is vast and the sheer numbers of people need to be corralled by someone into something the computers can read and make decisions on. Who would have thought Public Research and Data Science would come together in such a manner and in such an important time? Three Benefits of Data Science and Machine Learning in Healthcare According to a seminar given in September 2019, two research scientists explained to the CDC the promises and challenges using Big Data for public health initiatives. After explaining a few definitions and making correlations, the focus was soon on the benefits. The focus of Machine Learning is to learn data patterns.From the initial focus, patterns can then be validated to ensure they make sense.These patterns and validation of patterns can find links between seemingly uncorrelated factors such as the relationship between one’s environment and their genetics. To the scientists working with these scenarios, the decisions seem simple. Yet, when it comes to explaining them to laymen like policymakers, there can be a shift in understanding. This shift can lead to arbitrary and different findings which can affect medical decision making. Why? Could it be using Random Forests in linking the data could be confusing?  Data Classification is Not as Cut-and-Dried as a Work Flow or Org Chart If someone shows us a work flow or organizational chart, we understand immediately each task to be done in which order or who reports to whom. But in trying to link uncorrelated bits of information using decision trees, it can seem more like abstract art, more subjective than direct. Yet, it is those correlations which answer the bigger questions brought to bear by Research Scientists, Public Health Researchers, the Data Scientists, and AI working together to see the bigger picture. Decision trees, ultimately, are the great classifier. But there are a few things which need to be in place first. Yet, in the random forest model it’s not just one decision tree, it’s many. This is definitely a case where, if you done right, you will see the forest for the trees and at the same time be able to determine patterns in those trees. A bit counter-intuitive, but this is what stretches our minds to see correlations and patterns we might not see otherwise, don’t you think? So, what do you need to help make predictions?  Two Important Needs to Help Make Predictions Predictive power. The features you employ should make some sense. For example, without a basic knowledge of cooking, you can’t just throw random items from your refrigerator into a pot and expect it taste good. Unless of course, you’re making soup and all you have to do is add water.The trees and their predictions should be uncorrelated. If you’ve ever seen M. Night Shymalan’s Lady in the Water, there’s a little boy who can ‘read’ cereal boxes and tell a coherent story. A predictive coherent story. This is the layman’s version of random forests, their predictive nature, and ultimately, the scientists who can ‘read’ and explain the patterns. If you're looking for your first or next role in Big Data, Web Analytics, Marketing & Insight, Life Science Analytics, and more, 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.  

Reflections On The Watermark Conference For Women

This week I was fortunate enough to head down to the Watermark Conference for Women alongside our SVP, Stephanie Brooks. As we enter 2020 and women continue to shatter glass ceilings, Harnham firmly believe in a proactive approach towards placing more women in Data & Tech roles.  Diversity and inclusion are integral to our story and core beliefs and we strive to continually re-evaluate how we create measurable change in the marketplace and redefine the metrics of successful and excellent recruitment. For us, attending the conference was a chance to meet and learn from some of those women who are leading the way. Every talk inspired me in some way but there were a couple I really connected with, and I wanted to take the opportunity to reflect on how they impact the work we do at Harnham. WHAT IS WATER? One talk that struck a chord with me was Seth Godin’s breakfast keynote, inspired by a commencement speech by David Foster Wallace in which he famously tells a story of two fish out at sea. The story goes: “There are these two young fish swimming along and they happen to meet an older fish swimming the other way, who nods at them and says ‘Morning, boys. How’s the water?’ And the two young fish swim on for a bit, and then eventually one of them looks over at the other and goes ‘What the hell is water?’”. Godin’s speech was meditated on how attitudes and beliefs are the indicators of future success. In his speech, Godin echoed Wallace’s sentiment that “freedom involves attention and awareness and discipline, and being able truly to care about other people and to sacrifice for them over and over in a myriad of ways every day.” Recruitment is an industry where it is easy to swim along without questioning what water or recruitment really is. To question what is water - what is recruitment - requires thoughtful analysis, careful consideration, and of course, “attention, awareness, and discipline”. As the global leaders of Data & Analytics recruitment, we remind ourselves daily that we are responsible for making meaningful change. Water is, to us, what we make of it.  For Seth, his water is marketing. For Harnham, our water is recruitment and we stand by Wallace’s challenge to stay conscious and alive in our jobs. Day in and day out Harnham will continue to make the case for agency recruitment to be diverse and inclusive, as this is in the best economic interest of our clients.   THE ECONOMY OF DIVERSITY One of the most insightful and compelling moments of the day was a conversation between Pat Mitcheel and Indra Nooyi, the former chair and CEO of PepsiCo. Having directed the company’s global strategy for more than a decade, Nooyi is uniquely poised to discuss the importance and power of having women in every capacity within an organization.  During the conversation, she highlighted the statistics that measure the success companies achieve when women have equal representation at all levels. Currently, gender parity exists in entry-level positions but is absent in the 2nd and 3rd tiers of the workforce. While Nooyi highlighted that having a diverse and inclusive workplace should be an integral part of every company’s corporate social responsibility, she argued that this also leads to unprecedented economic growth. This aligns closely with our view of Diversity at Harnham, something which we examined in more detail in our Diversity Report.  For Nooyi, in making the case for the economics of diversity, she used the work of care economists to show how implementing policies that affected the unique interests of women are proven to not only keep women in the workforce and draw them back to work after children but are also shown to increase the economic output of countries. Institutional change at the corporate level and policies focused on those who have care-giving responsibilities have been shown to positively influence economic growth and increase the happiness and productivity of workers.  BREAKING OUT  As a woman working in a fast-paced and competitive environment, I also took a number of insights from the various break-out sessions held throughout the day. Here are a few highlights:  Women Breaking Barriers: Michelle P. King, Andrea McBride John, Pat Mitchell, Samantha Rapoport Find a mentor, be a mentor. Find a sponsor, be a sponsor. Find a sister, be a sister.Take up space and own it Share your successes with the women and men around you Building a Network of Relationships, Not Just Contacts: Laura Okmin Focus on asking people who they are, not what they do Reach out when you don’t need anything, maintain relationships  The Myth of the Nice Girl Nice people build  trust, trust is the foundation of all business relationships You don’t have to choose between kindness and strength If you want to break glass ceilings, we may have an opportunity for you. Take a look at our latest roles or get in touch with one of our expert consultants to find out more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com. For our Mid-West and East Coast Team, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. 

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