Manager, Data Science job opportunity at Jobgether.

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Date2026-05-07 bot
Jobgether Manager, Data Science
Experience: 6-years
Pattern: Full-time
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Data Science

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loacation US, United States
loacation US....United States
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<p> </p><p data-start="0" data-end="139"><strong>This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Manager, Data Science in United States.</strong></p> <p data-start="141" data-end="1072">This role is focused on leading a high-impact data science team working at the frontier of machine learning, generative AI, and large language models applied to cybersecurity and real-world security operations. You will guide a team that builds experimental and production-ready AI systems designed to enhance human analysts and improve defensive capabilities. The position blends technical leadership, people management, and strategic influence across product, engineering, and security functions. You will operate in a fast-moving R&amp;D environment where innovation is driven by access to unique datasets and real operational challenges. Beyond execution, you will help define the organization’s AI and LLM strategy, ensuring responsible, scalable, and effective use of advanced models. This is a highly collaborative role where leadership, technical depth, and communication converge to shape the future of applied AI in security.</p> <p></p>\n<p></p><p><br></p><b>Accountabilities</b><div> <p data-start="1096" data-end="1258">In this role, you will be responsible for leading a data science team while shaping AI strategy and driving execution of high-impact machine learning initiatives.</p> <ul data-start="1260" data-end="2229"> <li data-section-id="dafpd3" data-start="1260" data-end="1380">Lead and mentor a data science team focused on R&amp;D projects in machine learning, generative AI, and LLM applications</li> <li data-section-id="3hon0s" data-start="1381" data-end="1502">Manage team delivery, ensuring clear milestones, fast iteration cycles, and effective communication with stakeholders</li> <li data-section-id="1ga356b" data-start="1503" data-end="1612">Conduct regular coaching, performance reviews, and career development discussions to grow team capability</li> <li data-section-id="x1441u" data-start="1613" data-end="1727">Collaborate with product, engineering, UX, and security teams to define strategy and align technical tradeoffs</li> <li data-section-id="1ul6lho" data-start="1728" data-end="1870">Contribute to the organization’s generative AI and LLM roadmap, including foundation models, agentic workflows, and advanced architectures</li> <li data-section-id="1ovy0ti" data-start="1871" data-end="1993">Oversee responsible AI practices including fairness, explainability, safety, and bias monitoring in production systems</li> <li data-section-id="1axosev" data-start="1994" data-end="2108">Support planning activities such as resource allocation, technical decision-making, and roadmap prioritization</li> <li data-section-id="v0qd8l" data-start="2109" data-end="2229">Contribute up to a limited portion of hands-on technical work including design input, debugging, and feature support</li> </ul> <h2 data-section-id="7ro8sp" data-start="2231" data-end="2248">Requirements</h2> <p data-start="2249" data-end="2394">The ideal candidate combines strong leadership experience with deep technical expertise in data science, machine learning, and modern AI systems.</p> <ul data-start="2396" data-end="3447"> <li data-section-id="1bnlbnt" data-start="2396" data-end="2519">6+ years of professional experience in data science, including at least 4 years in a leadership or team management role</li> <li data-section-id="lpfi7g" data-start="2520" data-end="2606">Proven experience managing and developing high-performing data science or ML teams</li> <li data-section-id="dueo1o" data-start="2607" data-end="2727">Strong hands-on expertise in Python and data science frameworks such as PyTorch, TensorFlow, Pandas, or Scikit-learn</li> <li data-section-id="ajb2mn" data-start="2728" data-end="2824">Experience designing, deploying, and scaling ML solutions in cloud environments (AWS or GCP)</li> <li data-section-id="1m88ldr" data-start="2825" data-end="2958">Practical experience with generative AI and LLM ecosystems, including tools like LangChain, LlamaIndex, OpenAI, or Anthropic APIs</li> <li data-section-id="1s44rqo" data-start="2959" data-end="3043">Knowledge of RAG pipelines, prompt engineering, and LLM evaluation methodologies</li> <li data-section-id="topx2x" data-start="3044" data-end="3174">Familiarity with MLOps tools such as MLflow, SageMaker, or Vertex AI and vector databases like Pinecone, Weaviate, or pgvector</li> <li data-section-id="18ariaj" data-start="3175" data-end="3257">Experience building or overseeing agentic AI systems and multi-agent workflows</li> <li data-section-id="1j5f9na" data-start="3258" data-end="3358">Strong communication skills with ability to engage both technical and non-technical stakeholders</li> <li data-section-id="jrq5u1" data-start="3359" data-end="3447">Background in computer science, mathematics, statistics, or related fields preferred</li> </ul> <h2 data-section-id="33fg5d" data-start="3449" data-end="3462">Benefits</h2> <ul data-start="3463" data-end="4085"> <li data-section-id="mgraec" data-start="3463" data-end="3563">Competitive base salary ranging from $151,000 to $219,000 USD, plus bonus eligibility and equity</li> <li data-section-id="npzxmh" data-start="3564" data-end="3625">Flexible remote work arrangement within the United States</li> <li data-section-id="lugaiw" data-start="3626" data-end="3698">Unlimited paid time off with leadership actively encouraging its use</li> <li data-section-id="ejf9cs" data-start="3699" data-end="3735">Up to 24 weeks of parental leave</li> <li data-section-id="mfzef6" data-start="3736" data-end="3800">Comprehensive medical, dental, and vision insurance coverage</li> <li data-section-id="1gjfilq" data-start="3801" data-end="3897">Strong focus on professional development, conferences, and continuous learning opportunities</li> <li data-section-id="nrfllw" data-start="3898" data-end="3998">Collaborative, mission-driven environment focused on meaningful AI applications in cybersecurity</li> <li data-section-id="1ae58d0" data-start="3999" data-end="4085">Inclusive workplace with strong commitment to diversity, equity, and accessibility</li> </ul> </div><p><br></p><p></p>\n<p><strong>How Jobgether works:</strong></p> <p>We use an <strong>AI-powered matching process</strong> to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.</p> <p>We appreciate your interest and wish you the best!</p> <p><a href="https://jobgether.com/how-jobgether-works">&nbsp;Why Apply Through Jobgether?</a>&nbsp;</p> <p>&nbsp;</p> <p><strong>Data Privacy Notice:</strong> By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>#LI-CL1</p>

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