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For Companies At a Glance
- Tasks: Lead complex data science projects and develop innovative machine learning solutions.
- Company: Fortra is a dynamic company focused on cybersecurity and data science innovation.
- Benefits: Enjoy competitive salaries, flexible work options, and personal development opportunities.
- Why this job: Join a fun, collaborative team tackling meaningful challenges in the tech industry.
- Qualifications: 7+ years in data science with strong programming skills in Python, Java, or C++ required.
- Other info: Remote work available; mentorship opportunities for junior team members.
The predicted salary is between 52000 - 78000 £ per year.
Join to apply for the Sr. Data Scientist role at Fortra
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Whether you’re an experienced professional or just getting started, your contributions matter at Fortra. If you’re passionate about tackling meaningful challenges alongside talented team members committed to helping each other succeed, all while having lots of fun, we want to hear from you. We offer competitive benefits and salaries, personal and professional development opportunities, flexibility, and much more!
At Fortra, we’re breaking the attack chain. Ready to join us?
THE ROLE
This position is responsible for developing, enhancing, and maintaining data science solutions with particular emphasis on data processing, algorithms, and machine learning methods. The scope of the role includes both existing software products and new products in development. The ideal candidate has a strong commitment to excellence, brings a wealth of expertise in data science, is a creative problem solver, and a team player.
What You\’ll Do
- Lead highly complex data science projects with extensive latitude for independent judgment.
- Design and develop data science solutions for both customer-facing applications and internal use.
- Design and develop machine learning models in production environments.
- Identify and evaluate new platforms and technologies to enhance our existing systems.
- Consult with end users to prototype and refine new and existing products.
- Follow and help define and enforce our development best practices and standards.
- Provide mentorship and assistance to less experienced team members.
- Collaborate with product managers and development directors to maintain product roadmaps and prioritize new features.
- Coordinate project activities of a fully remote team.
- Engage with engineering and MLOPs teams to understand requirements and constraints for multiple products.
- Maintain up-to-date knowledge of related data science topics and technologies.
- Serve as the technical expert on the development of ML models including feature-engineered, LLMs, and generative models.
- Share your technical knowledge and domain expertise with team members.
- Become a domain expert in at least one cybersecurity application area.
- Write technical documentation based on conceptual design and stated business requirements.
Qualifications
- At least 7 years of experience in data science roles is required with at least 1 year of senior role experience included.
- Strong academic background (PhD program in a technical field) is an adequate substitute for a few years of industry experience.
- Thorough knowledge of Data Science techniques and methodologies, and experience leading projects applying these methodologies.
- Extensive experience developing data science solutions in at least one major programming language such as Python, Java, or C++.
- Comprehensive Machine Learning (ML) background and expertise in at least one application area such as NLP, Computer Vision, or Generative AI.
- Proven track record of developing and deploying ML models in industry.
- Substantial experience with Python-based frameworks such as PyTorch, TensorFlow, and scikit-learn.
- Demonstrated ability to collaborate with product managers, engineering leads, and other stakeholders to advance data science projects.
- Led multiple projects to completion in a small team.
- Proven experience assisting or providing mentorship to junior data scientists.
- Excellent communication and presentation skills. Ability to convey complicated technical topics to non-technical people both verbally and in writing.
- Demonstrated excellent problem-solving ability and critical thinking skill with many types of real-world data.
- Comfortable and enthusiastic about sharing technical knowledge with team members.
- Interest in cybersecurity applications.
Visit our website to learn more about why employees choose to work for Fortra. Remember to connect with us on LinkedIn.
As an EEO/Affirmative Action Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, veteran or disability status.
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
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Industries
Software Development
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Sr. Data Scientist employer: Fortra
Contact Detail:
Fortra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science and machine learning, especially in cybersecurity applications. This will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Engage with the data science community on platforms like LinkedIn or GitHub. Share your projects and insights, and connect with professionals in the industry to expand your network and learn from their experiences.
✨Tip Number 3
Prepare to discuss your previous projects in detail, particularly those involving machine learning models and data processing. Be ready to explain your problem-solving approach and how you collaborated with team members.
✨Tip Number 4
Showcase your mentorship experience by discussing how you've helped junior data scientists grow. This aligns well with the role's emphasis on collaboration and knowledge sharing within the team.
We think you need these skills to ace Sr. Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly focusing on your expertise in machine learning and programming languages like Python, Java, or C++. Emphasise any leadership roles you've held and projects you've completed.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and cybersecurity. Mention specific projects or experiences that align with the responsibilities of the Sr. Data Scientist role at Fortra, showcasing your problem-solving skills and ability to work in a team.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, especially your experience with frameworks like PyTorch, TensorFlow, and scikit-learn. Highlight any machine learning models you've developed and deployed, as this is crucial for the role.
Prepare for Technical Questions: Anticipate technical questions related to data science methodologies and machine learning applications. Be ready to discuss your past projects in detail, including challenges faced and how you overcame them, as well as your approach to mentoring junior team members.
How to prepare for a job interview at Fortra
✨Showcase Your Technical Expertise
As a Senior Data Scientist, it's crucial to demonstrate your deep understanding of data science techniques and methodologies. Be prepared to discuss specific projects where you've developed and deployed machine learning models, highlighting the programming languages and frameworks you've used.
✨Prepare for Problem-Solving Questions
Expect to face complex problem-solving scenarios during the interview. Brush up on your critical thinking skills and be ready to explain your thought process when tackling real-world data challenges, especially in areas like NLP or Computer Vision.
✨Emphasise Collaboration Skills
Collaboration is key in this role. Be ready to share examples of how you've worked with product managers, engineering teams, and junior data scientists. Highlight your ability to communicate complex technical concepts to non-technical stakeholders.
✨Demonstrate Passion for Cybersecurity
Since the role involves cybersecurity applications, show your enthusiasm for this field. Discuss any relevant experience or projects you've worked on that relate to cybersecurity, and express your eagerness to become a domain expert in this area.
