At a Glance
- Tasks: Lead data science initiatives and collaborate with diverse teams to drive impactful solutions.
- Company: Join Huge, a global experience agency shaping the future of brand experiences.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Dynamic team culture with a focus on innovation and collaboration.
- Why this job: Make a real impact by leveraging data science to elevate human experiences.
- Qualifications: 5+ years in data science, strong Python skills, and experience leading client projects.
The predicted salary is between 60000 - 80000 £ per year.
Huge is looking for a Manager of Data Science to join their team! As a Manager of Data Science, you will be responsible for scaling their data science capability, helping team members to adopt & leverage machine learning solutions. On a regular basis, you will collaborate across disciplinary user experience teams at Huge and serve as a guide to answer questions, offer insights and bring structure to data so that it serves to inform decisions that will impact clients’ business.
As a Manager of Data Science, you will continuously be asked to set a positive example and champion the data science capability. To succeed, you will need to be hands-on, comfortable starting from zero and quickly ramping up when faced with specific business challenges. You will also need to be comfortable presenting data science capabilities that can easily be understood and leveraged across disciplinary teams at Huge and by clients. Collaboration with internal and external teams is fundamental to ensure the delivery of specific client solutions. You will also be hands-on building solutions in Python, establishing data models for machine learning and looking for opportunities to continue to push the envelope.
What We’d Like To See
- A minimum of 5 years of experience in a relevant industry that uses data science capabilities.
- An undergraduate degree in Science, Technology, Engineering or Math.
- Proficient in Python and associated data science packages.
- R Programming.
- Experience having led client engagements and across distributed teams end-to-end, from development to implementation of data science solutions.
- Ability to take disparate sources of data (structured & unstructured) and develop methods that produce models and algorithms that handle tasks, parameters or optimizations to generate an evaluation output.
- Proven ability to deliver solutions such as regression analysis for prediction, classification for sentiment analysis, clustering and retrieval of content, matrix factorization & dimensionality reduction for recommendations, and utilization of deep learning.
- Deep knowledge of the AWS or GCP CLI.
Huge is a global experience agency made up of creatives, designers, technologists, strategists, and data scientists. They help companies elevate the human experience by creating unified brand experiences that people love. Huge works with clients such as Google, McDonald’s, FCA, Brooks Running, P&G, and others, who are as committed to shaping culture and defining the future as they are. Headquartered in Brooklyn, Huge currently has more than 1,200 employees working across 13 offices in North America, Latin America, Europe, and Asia.
Data Science Manager employer: Huge
Huge is an exceptional employer that fosters a collaborative and innovative work culture, where Data Science Managers can thrive by leading cutting-edge projects and leveraging machine learning solutions. With a commitment to employee growth, Huge offers ample opportunities for professional development and the chance to work with renowned clients in a dynamic environment located in Brooklyn. The company values creativity and teamwork, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the hunt for a Manager of Data Science role. You never know who might have the inside scoop on an opportunity or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python and machine learning. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your presentation skills. As a Manager of Data Science, you'll need to explain complex concepts clearly. Practice explaining your past projects and how they benefited clients, so you can impress during those crucial conversations.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining Huge. Plus, it gives you a chance to showcase your enthusiasm for the role and the company right from the start.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Science Manager role. Highlight your experience with Python, machine learning, and any relevant projects that showcase your ability to lead and collaborate across teams.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your skills align with Huge's mission. Don’t forget to mention specific experiences that demonstrate your hands-on approach.
Showcase Your Projects:Include links to any relevant projects or portfolios in your application. This could be GitHub repositories or case studies that illustrate your data science capabilities and problem-solving skills.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people!
How to prepare for a job interview at Huge
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in Python and machine learning. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show that you're not just a manager but also hands-on and technically savvy.
✨Showcase Your Leadership Skills
As a Manager of Data Science, you'll need to lead teams effectively. Prepare examples of how you've successfully managed client engagements and collaborated with distributed teams. Highlight your ability to inspire and guide others, as this is crucial for the role.
✨Communicate Clearly
You'll be presenting complex data science concepts to non-technical stakeholders, so practice simplifying your explanations. Use analogies or visuals if necessary. The goal is to ensure everyone understands the value of your work and how it impacts business decisions.
✨Be Ready to Collaborate
Collaboration is key at Huge, so think about how you've worked with cross-disciplinary teams in the past. Prepare to discuss how you can bring structure to data and facilitate discussions that lead to actionable insights. Show that you're a team player who values input from others.
