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Senior Data Scientist

BforeAI is an innovative and rapidly expanding scale-up dedicated to deterring cybercrime through cutting-edge predictive and pre-emptive technologies. We harness the power of prescriptive AI to revolutionize the way we tackle cyber threats, particularly in the realm of brand protection.

Named by Gartner in 26 reports over the last 2 years, BforeAI is the industry’s fastest, most accurate solution for automated protection against online fraud.

We are like weather forecasts for cyber threats. Join us in the fight for a safer cyberspace!

✨ What’s cool about this job

Are you a seasoned Data Scientist with a passion for cybersecurity and networking? BforeAI is seeking an exceptional Senior Data Scientist to join our innovative team!  

In this pivotal role, you will leverage your expertise to develop cutting-edge analytics and machine learning models that proactively detect and mitigate security threats, optimize network performance, and generate actionable insights.

Please note, this job can be anywhere - we have to select a city for job boards.

📣 What you’ll be doing

  • Develop and implement advanced machine learning models and algorithms to detect and respond to cybersecurity threats and anomalies in network traffic.
  • Analyze large, complex datasets from various sources to identify patterns, trends, and insights related to cybersecurity and network performance.
  • Collaborate with cybersecurity analysts, network engineers, and other stakeholders to understand their requirements and translate them into technical solutions.
  • Design and conduct experiments to evaluate the effectiveness of different algorithms and models detecting security threats to optimize performance.
  • Build and maintain scalable data pipelines and architectures to process and analyze real-time and batch data.
  • Create and deliver clear, concise, and actionable reports and visualizations for both technical and non-technical stakeholders.
  • Lead with innovation and stay at the forefront of data science, cybersecurity, and networking advancements, continuously bringing new ideas and methodologies to the table.
  • Mentor and guide junior data scientists, providing technical leadership and fostering a culture of continuous learning and improvement.

💥 You’ll be a great fit if 

  • You have a Master's or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.
  • You have proven industry experience of at least 4 to 5 years with similar experience in data science, with a focus on cybersecurity or networking.
  • You have a solid understanding of cybersecurity principles, threat detection, and network protocols.
  • You are a strong communicator, with the ability to explain complex technical concepts to non-technical audiences.
  • You have strong programming skills in Python.
  • You have experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
  • You are proficient in data manipulation and analysis using SQL. 
  • You are proficient in working with NoSQL databases (e.g., MongoDB, Redis, Neo4j)
  • It would be preferable to have some experience with Vector databases
  • You are familiar with big data technologies such as Spark, Flink and Kafka.
  • You are familiar with workflow orchestration frameworks (e.g., Airflow, Kubeflow, etc.)
  • You are familiar with distributed search and analytics engine (e.g., Elasticsearch)
  • You have some experience with data visualization tools such as Tableau, Power BI, or similar.
  • You have hands-on experience with Microsoft Azure and Azure AI platform and preferable to have similar experience with AWS or GCP. 
  • You must have experience of MLOps ( i.e., deploying, monitoring, and maintaining machine learning models in production environments).

Don't meet every single requirement? Don't count yourself out just yet. Studies show some individuals are less likely to apply to jobs unless they meet every qualification. At BforeAI, we're dedicated to building a diverse workplace based on merit, work ethics, and character, and we believe everyone deserves a fair shot at success!

If you're excited about this role but your past experience doesn't align perfectly with every qualification, we hope you’ll still consider applying!

We use an Employee of Record service to facilitate seamless global hiring processes and offer benefits tailored to the country where you will be working! For countries not supported by our EOR partner, talk to us about being a contractor. In all cases, you will need to be authorized to work in the country you’re based in.

We offer a compensation package up to $120,000 USD per year in CTC (Cost to Company). Cost to Company represents our total investment, which includes all benefits and employer contributions. The final take-home pay will differ due to local tax regulations, selected benefits, and mandatory deductions. The actual offer will be based on the role level, skills, and experience of the candidate. Our compensation structure is thoughtfully designed to align with the expertise and impact potential of each individual.

🚀 Why it’s great to work here

We are a location independent company – no physical office required – and we operate as a fully distributed team. We deeply believe in the value of diversity and inclusivity within our workplace, understanding that these principles lead to a happier team and ultimately a superior product. We offer an intellectually stimulating company environment and you’ll be working with a bright, dedicated team from across the globe. 

If you possess a high level of autonomy and self-organization, and feel you can thrive at BforeAI, we’d love to hear from you! 

💡 Want to know more about BforeAI? 

What You Should Know About Senior Data Scientist, BforeAI

Are you ready to kickstart a thrilling career as a Senior Data Scientist with BforeAI? As a pioneering firm dedicated to thwarting cybercrime, our goal is to stay one step ahead using prescriptive AI and pioneering technologies. You'll be part of a dynamic team that’s likened to making weather forecasts - but for cyber threats! At BforeAI, your role will focus on developing sophisticated analytics and machine learning models that detect and tackle security threats head-on, ensuring network performance thrives. Picture yourself analyzing massive datasets to uncover invaluable insights that could change the cybersecurity landscape. You'll collaborate closely with cybersecurity analysts and network engineers; understanding their needs means crafting impeccable technical strategies. Plus, if you enjoy experimenting with algorithms to identify the most effective threat detection methods, you’ll fit right in. Not to mention, you’ll lead the charge in mentoring junior data scientists, fostering a vibrant environment of innovation and learning. With a compensation package of up to $120,000 and the benefit of working in a fully distributed team, BforeAI is committed to diversity and integrity. So, if you're not just about meeting qualifications but are excited to contribute your unique perspective, we want you on this journey to secure cyberspace!

Frequently Asked Questions (FAQs) for Senior Data Scientist Role at BforeAI
What are the primary responsibilities of the Senior Data Scientist at BforeAI?

As a Senior Data Scientist at BforeAI, your main responsibilities will include developing and implementing machine learning models to proactively detect cybersecurity threats, analyzing complex datasets to derive actionable insights, collaborating with cybersecurity teams to meet their requirements, and leading the mentorship of junior staff. Your role will also require you to optimize data pipelines for real-time analysis and produce clear reports for diverse audiences.

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What qualifications are required for the Senior Data Scientist position at BforeAI?

To qualify for the Senior Data Scientist role at BforeAI, candidates should possess a Master's or Ph.D. in Data Science, Computer Science, or a related field, alongside 4-5 years of relevant industry experience. A solid understanding of cybersecurity principles, strong programming skills in Python, and proficiency in machine learning libraries like TensorFlow or PyTorch are also essential. Experience with data manipulation, NoSQL databases, and cloud platforms like Azure or GCP will further enhance your fit for the role.

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How does BforeAI support career growth for Senior Data Scientists?

At BforeAI, career development for Senior Data Scientists is actively encouraged through mentorship opportunities, participation in innovative projects, and access to the latest advancements in data science and cybersecurity. The company fosters an environment of continuous learning and improvement, ensuring that your expertise evolves along with industry standards.

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What is the work environment like for a Senior Data Scientist at BforeAI?

BforeAI operates as a fully distributed team, allowing Senior Data Scientists the flexibility to work from anywhere. The company values diversity and inclusivity, creating a stimulating environment for collaboration and creativity. Employees enjoy high autonomy and self-organization to thrive in a setting that respects individual contributions.

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What type of technology stack does BforeAI use for data science projects?

BforeAI utilizes a cutting-edge technology stack for its data science projects, including machine learning frameworks like TensorFlow and PyTorch, programming languages such as Python, and database technologies including SQL and NoSQL options like MongoDB. The company also implements workflow orchestration frameworks and big data technologies like Spark and Kafka to facilitate high-performance data processing.

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Common Interview Questions for Senior Data Scientist
Can you describe a machine learning project you've successfully completed as a Data Scientist?

When discussing a successful machine learning project, be specific about the problem you were trying to solve, the methodologies you used, and the impact your solution had. Highlight how you approached the problem, the algorithms you implemented, and any challenges you faced. Include measurable results if possible to illustrate your success.

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How do you stay current with advancements in data science and cybersecurity?

To stay updated in the fast-paced fields of data science and cybersecurity, mention specific resources like research papers, online courses, webinars, and relevant forums. Discuss your engagement with professional communities or conferences and how you implement new knowledge into your work.

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What is your experience with machine learning frameworks, and how do they contribute to your work?

Discuss your hands-on experience with specific frameworks like TensorFlow or PyTorch. Detail how you've used these frameworks in past projects, including the modeling techniques you applied and the outcomes achieved. It's essential to convey your understanding of when to choose one framework over another.

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How do you handle complex datasets while aiming for actionable insights?

Explain your approach to managing and analyzing complex datasets. Discuss data-cleaning strategies, exploratory data analysis, visualization techniques, and how you translate findings into actionable insights. Provide examples of tools you've used and the processes you implemented.

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What strategies do you use when collaborating with non-technical stakeholders?

Emphasize the importance of clear communication when working with non-technical stakeholders. Describe methods you use to explain technical concepts in layman’s terms and how you ensure that their feedback is integrated into the development process. Your ability to adapt your communication style will highlight your strengths.

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Describe your experience with deploying machine learning models in production.

Share specific experiences of deploying models, focusing on the deployment processes you've followed, the challenges you've faced, and how you ensured the models continue to perform well over time. Mention any tools like MLOps platforms you have utilized to streamline this process.

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How do you assess the effectiveness of your algorithms in threat detection?

Discuss metrics you use to evaluate algorithm performance, such as accuracy, precision, recall, and F1-score. Explain any experimentation methodologies you’ve applied, and how you iteratively improve your algorithms based on evaluation results to enhance threat detection capabilities.

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Can you explain your familiarity with big data technologies?

Detail your experience with big data technologies like Hadoop, Spark, and Kafka. Provide examples of how you've used these technologies to handle and analyze large datasets. Emphasize your understanding of how these tools can improve data processing efficiency.

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What role do you believe a Data Scientist plays in preventing cybersecurity threats?

Articulate your view on the critical role Data Scientists play in cybersecurity, especially in analyzing trends, detecting anomalies, and developing proactive strategies against threats. Highlight how data-driven decision-making can make cybersecurity efforts more effective and robust.

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Why do you want to work for BforeAI as a Senior Data Scientist?

Show your enthusiasm for BforeAI by expressing your admiration for the company’s mission to combat cybercrime through innovative AI solutions. Discuss how your skills align with their needs and how you can contribute to their goal of building a safer cyberspace.

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DATE POSTED
December 25, 2024

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