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Data Science Jobs in San Francisco

SAN FRANCISCO DATA SCIENCE JOBS

We help the best talent in San Francisco, find rewarding careers in Data Science. 

Data drives business and, in the 21st century, the Data Scientist is the “rock star” of the technology world.  Companies today know insights are the way to a higher ROI, a healthier bottom line, and, ultimately, a loyal client and customer base. To stay ahead of the competition, companies must continuously look for new and innovative ways to extract insights from the large volumes of data they acquire. 

Our aptitude in matching the best talent with the best companies is second to none. Our clients range from Fortune 500 organisations to small start-ups looking to shake-up the status quo. If you’re looking for your next challenge in the Data Science industry then get in touch and take the first step on that journey.

RECRUITMENT & STAFFING SOLUTIONS

Talk to Harnham about how we can help your team or organisation find the best Data & Analytics talent!

Whether it is Marketing & Insight, Risk Analytics, Data & Technology or Digital Analytics, for the team at Harnham it is key to fully explore and understand the career aspirations of our candidates. We do this whilst developing an in-depth knowledge of each marketplace and its emerging trends, as well as the different types of organization that we work with and their diverse skill requirements. Only then, once we have the full picture, are we able to deliver resourcing solutions that ensure the very best outcome for all our customers.
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Latest Jobs

Principal Data Scientist
Salary

US$160000 - US$200000 per annum + Competitive Benefits

Location

San Diego, California

Description

A growing fintech start up addressing some of the world's largest problems in the credit space.

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Director of Data Science
Salary

US$200000 - US$220000 per annum

Location

San Diego, California

Description

Lead a growing team of data scientist and analysts at a fintech start-up!

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Senior Machine Learning Engineer
Salary

US$130000 - US$160000 per annum + additional benefits

Location

Los Angeles, California

Description

Join a leader in the biotech space and a growing machine learning team!

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Data Scientist
Salary

Equity

Location

Burlingame, California

Description

This is a role for someone looking to join a company with a huge impact and mission in the medical device space

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Data Scientist Manager
Salary

US$150000 - US$170000 per annum + 10% Bonus

Location

Salt Lake City, Utah

Description

Data Scientist Managerial position. This job requires location in Salt Lake City, Managerial experience onboarding a team and proficiency in the Python Stack.

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Sr. Machine Learning Engineer; Infrastructure
Salary

US$195080 - US$213369 per annum + 10% Bonus

Location

Salt Lake City, Utah

Description

Senior or Principal Machine Learning Engineer with a background in software engineering working in the biotech realm

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Principal Data Scientist
Salary

US$130000 - US$160000 per annum

Location

Boulder, Colorado

Description

Are you an experienced Data Scientist solving real-world problems that have significant commercial Impact? Then this role is for you!

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Senior Machine Learning Scientist
Salary

US$160000 - US$180000 per annum + BONUS

Location

Denver, Colorado

Description

This is a fully remote position for a Senior Machine Learning Scientist to work on Deep Learning and AI technology within healthcare.

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Machine Learning Engineer
Salary

Negotiable

Location

San Francisco, California

Description

This role is for someone looking to make a large impact for a large, financially stable company with huge growth potential

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Senior Machine Learning Engineer
Salary

US$140000 - US$235000 per annum

Location

San Francisco, California

Description

This is a financial service company using cloud-based platforms to offer credit to consumers and small business customers.

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Data Science Manager
Salary

US$200000 - US$225000 per annum

Location

San Francisco, California

Description

A well-established bay area company is looking to add an experienced manager to their ranks.

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Senior Data Scientist
Salary

US$185000 - US$195000 per annum + Bonus

Location

San Francisco, California

Description

A rapidly growing team is looking to add an exceptional Senior Data Scientist to their ranks!

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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.

Making Sense of Unstructured Data with NLP

Natural Language Processing. It seems a simple enough explanation. The idea is to make computers sound like native speaking humans regardless of their language. Except there’s one problem. When we speak, we don’t follow our own rules of grammar. We use idioms, metaphors, abbreviations, and oftentimes use more body language to communicate than we realize.  So, what’s a poor machine to do when confronted with such an unstructured melee of data? Well, since semantics is not what you say it’s how you say it, we must teach computers to read between the lines. Of code. Enter NLP. The semantics of human language written for a machine to help make sense of our human behaviors gets organized. The Perfect Imperfections of Language Computers require structure. Natural language does not. Teaching machines how we communicate is no easy task, and yet we use machines that can do this every day. By combining technology and Machine Learning we begin to teach computers how to understand us. We teach them how to interpret and determine what it was we want done. When you’re asking Siri or Alexa a question, you’re helping them to learn how you ask, so they can better respond, and they make you more efficient. It’s a win-win for everyone. In business, using NLP techniques to drive business decisions is even more important. Now, the computer must decide what information is the most valuable to pull from a pile of Data. Understanding our choices, our tone, even the words we choose to use, helps our machines learn what we want to do or need done. Where is NLP Used? Since we use different rules when we speak than when we write, our computers learn how we talk and how to use language more naturally. Wondering where NLP might be used? In a word or two? Nearly everywhere. You are scheduling a meeting and when it’s time, a calendar reminder pops into your phone which says estimated drive time to the meeting based on traffic conditions in your area. Or you ask Alexa to play your favorite music list from Pandora.  Every touchpoint in this scenario is using NLP. We naturally might get into our car, ask our Virtual Assistant navigation system for directions, or to play our favorite music. Our choices don’t fit in a box and may not be logical, but the more we teach the machines, the closer they may get to understanding the nuances of our language. Here are 5 more ways we use NLP every day: Predictive text on your phone or in your Word document. Chatbots and Virtual Assistants to ensure customers are acknowledged in a timely manner, answer basic questions or redirect to appropriate personnel, and making suggestions to improve the customer experience.Curating social media feeds to determine customer needs and interest.Grammar correction software so our emails and business documents are error-free.Analyzing customer interactions using comments and reviews for customer feedback about a product or service. There’s a ton of information to be filtered, sorted, sifted, and analyzed, and NLP is just one of the tools Data Scientists use. Interested in the subfield of NLP? Check out this article for 6 techniques you need to know to get started. Already well-versed in the industry and looking for a new challenge? If you’re interested in Big Data and Analytics, Advanced Analytics, Life Sciences, Data Science, or any of our Data professional fields, we may have a role for you. Review 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.  

Elizabeth Sobel

Elizabeth Sobel

25. March 2021

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. 

Tegan Stanbach

Tegan Stanbach

14. February 2020

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