Harnham
SEARCH
Shortlist

Principal Data Scientist

San Diego, California
US$160000 - US$200000 per annum + Competitive Benefits
Apply Save job

Principal Data Scientist - San Diego, CA

Remote $160,000 - $200,000 + Competitive Benefits

THE COMPANY

  • COMPANY: A growing fintech start up addressing some of the world's largest problems in the credit space.
  • TEAM: Machine learning and data science is the core part of the company. Join a strong team of 5 data scientists and engineers and work directly with the VP of Engineering
  • CULTURE: Casual work environment along with a diverse and inclusive culture; flexible working hours and a work from home policy.

THE ROLE

As a Principal Data Scientist you will…

  • Build predictive and machine learning models to model customer behavior in the credit space
  • Work with large scale customer data to build top solutions
  • Work closely with engineering to build out end to end solutions
  • Lead projects and mentor more junior members

YOUR SKILLS AND EXPERIENCE

  • 5+ years of full time experience in data science and analytics
  • Experience with customer behavior modeling and consumer data
  • Experience working end-to-end and building production level models
  • Experience with predictive modeling and machine learning with a strong foundation in statistics
  • Experience in fintech - fraud detection or credit risk modeling is a huge plus!
  • Deep learning experience is a plus
  • Grea communication skills
  • Experience leading teams is a huge plus
  • Tools: Python, Tensorflow, SQL, Spark, AWS Sagemaker

THE BENEFITS

As a Principal Data Scientist, you can expect a base salary between $160,000 to $200,000 (based on experience) plus competitive benefits.

Please reach out


Apply Save job
Send similar jobs by email
134783/KC
San Diego, California
US$160000 - US$200000 per annum + Competitive Benefits
  1. Permanent
  2. Data science

Similar Jobs

Principal Data Scientist
Salary

US$130000 - US$160000 per annum

Location

New York

Description

Are you an experienced Data Scientist with extensive experience in marketing measurement and attribution? Then this is the role for you!

ADD TO SHORTLIST
Data Scientist - Digital Marketing
Salary

US$100000 - US$120000 per annum

Location

New York

Description

Looking for your next role with a data-driven branding agency? We have a passionate and creative agency looking for their next Data Scientist.

ADD TO SHORTLIST
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!

ADD TO SHORTLIST
NLP Data Scientist
Salary

US$150000 - US$170000 per annum

Location

New York

Description

This is an opportunity for an innovate data scientist to use their expertise in NLP to work on innovative projects in the health-tech space

ADD TO SHORTLIST

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.

Bridging the Gap: The Role of a DevOps Engineer

Siloed teams are swiftly becoming a thing of the past as organizations learn collaboration is key. Businesses are embracing transformation. But some may not know where to turn to help them manage such a massive restructuring of operations. Enter the DevOps Engineer. Yes, Virginia. The unicorn employee does exist. What is a DevOps Engineer? For many businesses, it’s a dream to find a technical person who can also communicate across departments. In the DevOps Engineer role is an IT Generalist who not only has a deep understanding of codes, infrastructure management, and agile familiarity but who also possesses interpersonal skills. It’s this combination that makes this role so imperative to businesses. Working across siloes and bringing teams together for collaboration bridges the gap between the technical and non-technical departments. One of their most important roles is as advocate. Moving from siloed teams to the more collaborative environment of a DevOps culture can be difficult for engineering team members. But as advocate for the benefits, the DevOps Engineer can explain it best to those with whom they’ve worked. Their technical expertise puts them on par with their peers and their interpersonal skills offer a way to communicate across the organization.   Want to Restructure Your Skills toward DevOps? If you’re an IT Generalist with great communication skills. DevOps Engineer could be your next role. But what skills do you need and how might you streamline what you already know into this key role for many businesses? Technical skills depend on team structure, technologies in place, and tools already in use. But the key element of a DevOps Engineer is their strong communication and collaborative skills. Can you morph your technical world into layman’s terms for the executives? Can you translate different needs across teams from QA testers to software developers, generalists and specialists alike? It’s this deep understanding which makes you so valuable to employers. For many organizations, this is the best of both worlds.  Knowing the pros and cons of available tools. Understanding the components of a delivery pipeline. And strong communication skills to bridge once siloed teams into a cohesive and collaborative environment. More technical skills include, but aren’t limited to System administration – such as managing servers, database deployment, and system patching just to name a few.Experience with DevOps tools – understand the lifecycle from building and infrastructure to operating and monitoring a product or service.Configuration management – experience with configuration management tools such as Chef, Puppet, or Ansible to automate admin tasks.Continuous Integration (CI) and Continuous Deployment (CD) – this is a core practice of DevOps. It’s this role’s approach to software development with tools to automate the building, testing, and deploying of software processes. System architecture and provisioning – ability to design and manage computer ecosystems whether in-office or in the cloud. Within this skillset is the importance of Infrastructure as Code (IaC). This is an IT management process that applies best practices from software development to cloud infrastructure management.  Collaborative management skills – while the CI/CD skills are core to the technical side, this is one of the key components for the soft skills required for a DevOps structure. In a Nutshell DevOps (Development + Operations) is a practice that involves new management principles and requires a cultural change. And a DevOps Engineer is the heart of the transformation. Yet they can’t do it alone. A good DevOps Team has more than just one engineer. It involves a mix of generalists and specialists to implement and improve these practices within the software development cycle. A few of these roles include:  DevOps evangelist Automation expert Software developer Quality assurance  If you’re interested in Big Data and Analytics, Harnham may have a role for you. 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.  

Kavya Kannan

Kavya Kannan

15. April 2021

News

Amped Up Analytics: Google Analytics 4

Google Analytics 4 has amped up data insights into the behaviors and preferences of your customers. Where once each touchpoint only tracked what had been clicked, GA4 is bringing it all together in a more wholistic approach to the customer journey. As the fourth quarter of 2020 dawned, Google upped its game. Crafting a compelling array of features with machine learning at its core, this new platform offers a more customer-centric approach to data-driven insights, rather than split data across platforms and devices.   Though still in its infancy, there are some dramatic new changes afoot. And while it’s not a good idea to get rid of the old Universal Analytics platform before ringing in the new one, it is a good idea to understand what’s available now and what may come to be over time. Four Advantages to Google Analytics 4.0 From our desktop to our laptop to our smartphone, we carry our office in our pocket or on our lap. So, what better way to integrate what was once called “App + Web properties” into a more cohesive trackable measurement of data. Add to this the privacy protocols in place to protect customers, and Google Analytics 4 offers flexibility for future cookieless tracking and permissions, and advantages are revealed. Combined Data and Reporting Rather than focusing on one property (web or app) at a time, this platform allows marketers to track a customer’s journey more holistically.  The platform’s premise is that there is a pattern everyone follows. From the moment a customer visits your website to clicks on a button subscribing to your newsletter or blog – Acquisition and Engagement. To the moment your customer makes a purchase, is happy with the product or sevice, and comes back again – Monetization and Retention.  Designed for marketers who want to track users across multiple formats, Google Analytics 4 hopes to solve with Data Streams. These Data Streams merge to paint a picture of the customer journey from website visit to purchase. A Focus on Anonymized Data This anonymization answers the call to Data Privacy and third-party data collection. Crafting a unified user journey centered around machine learning to fill in any gaps, marketers and businesses have a way to get the information they need without diving into personal data issues. This is a key change in that Google is moving away from client-side focus and using server-side and customer-centric capabilities. With GDPR and privacy laws in full swing, marketers face enhanced privacy regulations as cookies are phased out or blocked. Predictive Metrics and Audiences Using Machine Learning to predict future transactions is a game changer for the platform. These predictive metrics for e-commerce sites on Google properties allow for targeted ads to visitors who seem most likely to make a purchase within one week of visiting the site.  Though focused on e-commerce sites now and based on transactions and revenue, there is an opportunity for marketers to identify and convert based on such leads as video views or form submissions. Machine Learning-Driven Insights The launch announcement for GA4 explains it “has machine learning at its core to automatically surface helpful insights and gives you a complete understanding of your customers across devices and platforms.” Machine Learning-driven insights include details that elude human analysts.  What These Changes Mean on the Digital Frontier We’re all reaching for higher value and Google Analytics 4.0 brings it into one unified platform for the future. As we make the shift from traditional Google Analytics to its 4.0 version, there is opportunity to get more creative.   Wondering if you should upgrade? This article breaks down the pros and cons to help you decide.  If you’re interested in Big Data & Analytics, Harnham may have a role for you. 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.  

Joshua Poore

Joshua Poore

08. April 2021

News

Recently Viewed jobs