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Senior Data Scientist
New York, NY
USD $130k - 160k + bonus + equity
An innovative startup that just raised $150 million in series B funding is looking for a Senior Data Scientist in a Health-Tech start-up. Are you ready to cut your teeth into the business strategy and building out the capacity of Data Science throughout an organization in the pharmaceutical space?
Harnham are partnered with a cutting-edge startup that uses machine learning and AI in the pharmaceutical space to help create faster, more accurate insights into clinical trials
As a Senior Data Scientist on this team, you will be asked to be forward thinking in your approach to applying analytical techniques to advancing the departments capacity. You will add to their implementation for machine learning for both internal and external projects with a lot of room for typical and advanced ML techniques. With a rich and varied dataset to work from, you'll have the chance to apply your machine learning and algorithmic techniques to build out the strategy and team.
Working for an exciting, well-funded company that is at the beginning of its journey
You will need to be a proven problem solver, critical thinker, and have an advanced technical background to join this growing, yet experienced team. The successful Senior Data Scientist will likely have the following skills and experience:
HOW TO APPLY
Please register your interest by sending your CV to Samuel Agre via the Apply link on this page.
Data Science, Machine Learning, Information, Technology, Manager, Team Lead, Tech Lead, Healthcare, Healthtech, AI, Deep Learning
US$240000 - US$260000 per annum + bonus, equity, holidays
San Francisco, California
Looking for a MLE for to build out recommendations. If you can work with social media and have worked with deep learning and personalization - apply now!
£50000 - £65000 per annum + Additional Benefits
Join one of the largest banks in the UK and US, creating a revolutionary AI virtual assistant that will transform the way that all banks operate!
US$190000 - US$220000 per annum + Competitive Benefits
San Francisco, California
Harnham is working with a late-stage media company to find a Machine Learning Engineer to lead the search and recommendations team.
US$11036 - US$190000 per annum + Unlimited PTO
FOCUS ON Movement, Nutrition and Regeneration with Data Science
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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I'm excited to announce the launch of our 9th annual Salary Survey. Covering salaries, diversity, benefits and technologies, our published Salary Guide is known for reflecting and driving trends within the Data & Analytics industry. As ever, we can't put together our guide without your input, so we are extremely grateful to everyone who is able to take part. This year, one participant will win a £500 Amazon Voucher (or an equivalent amount in your local currency). You can read all the terms and conditions for this here. The survey takes around 10 minutes and we would love to hear your thoughts. All submissions are 100% confidential and will only be used to provide an overview of the industry as a whole. You can choose the survey relevant to you below: UK Survey US Survey EU/EEA Survey In the meantime, you can download a copy of last year's completed Salary Guide here. We look forward to sharing our latest results with you later in the year.
21. January 2020
Recent editor picks on LinkedIn highlight how jobs will change in the future. But as changes come, there are a dizzying array of tech advancements, products, and more in the job market landscape.If you’ve been looking through the telescopic lens of the Digital transformation and wonder, what’s next? Well, we may have a role for you. If you’re a business and wonder what’s next, we have some ideas to help you identify, hire, and retain top talent within the Data professional industry. Setting a Mindset Shift We have reached a time in which simply adding the word “tech” to something has shifted. Thinking digitally, or the Digital transformation combines the why with who, how, and which. Who does our technology impact, how will it change how they work, and which advancement is best suited to answer the call? Below are just a few things to consider when developing your: Recruitment is a process, not a transaction. Interaction instead of reaction.Factor in not only human skills, but machine skills as well.Make employee experience a priority. Experience leads to Data which leads to Insights.Artificial Intelligence and Machine Learning have a wider role to play within the recruitment space.Base software selection decisions on user experience. Include everyone who will use the software in both the vendor demonstration and the decision process.Seek references from vendors to foster trust and connect with other organizations.Cloud based solutions far outweigh non-cloud solutions in today’s business climate. These are just a few suggestions to consider as you rethink your HR strategies. Incorporating technology with the human element is a new road for many businesses and essential for the future of work. Design for Data and Insights Whether you’re talking about the employee experience or the customer journey, it’s important to design the process to generate Data. When you use design thinking, you put people at the center and from there can measure the variables which offer insights into thoughts and feelings. When you know these answers, you can always be improving and optimize for success. As you consider what to invest in next, remember to think about the Data first. Use your workforce insights to determine the best way to move forward and understand how people impact your business. Measure effectiveness, but understand workforce insights go hand-in-hand with delivery. Rather than operating individually in a separate silo, everything is interconnected, just like in our day-to-day lives. It’s this connectedness which is the greatest shift. From our phones, our iPads, our laptops, and so on, we are able to tap into workforce solutions and find at its center a structurally sound HR strategy to ensure next gen talent is identified, hired, and retained. While we often speak of what you can do to retain your top talent, another focus might be how you communicate with leadership. To ensure everyone is on the same page, it’s important to be sure messaging is consistent across your organization. It’s this messaging along with new systems and strategies in which training and education play an even bigger part than in the past. There’s so much to learn and it comes so fast, that adoption of new technologies must be thought out in advance. Try to avoid chasing the next shiny object or new advancement and have a plan in place for staff and stakeholders to follow. Setting your top priorities now, as we enter a new decade of Data, can help ensure you’re proactive in your business strategy, not reactive. If you’re interested in AI, Big Data and Digital or Web Analytics, we may have a role for you. Check out our current opportunities or get in touch with one of our expert consultants to learn more. For our West Coast Team, call (415) 614 - 4999 or send an email to email@example.com. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to firstname.lastname@example.org.
16. January 2020