data science team lead

Oredata Yazılım Anonim Şirketi

<div>OREDATA is a Digital Transformation &amp; IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical &amp; data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.
Read more: https://medium.com/@oredata-engineering
Apply and be part of our exciting journey!
Requirements<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Engineering, or a related field
</li><li>8+ years of professional experience in data science, machine learning, or analytics roles
</li><li>Experience working on AI / Machine Learning projects (model development, data-driven solutions, analytics use cases)
</li><li>Experience leading or coordinating data science teams (team coordination, task prioritization, delivery management)
</li><li>Experience in stakeholder management (business&ndash;technical communication, requirement alignment)
</li><li>Ability to translate business problems into data-driven solutions (problem framing, analytical thinking, solution design)
</li><li>Hands-on experience in data analysis and validation (data exploration, hypothesis testing, insight generation)
</li><li>Experience working as a bridge between business units and technical teams (cross-functional collaboration, communication)
</li><li>Experience using Jira for task tracking, backlog management, and team coordination is a plus
</li><li>Experience managing end-to-end problem-solving processes (problem definition, solution approach, execution coordination)
</li><li>Ability to lead and facilitate meetings, workshops, and decision-making sessions (technical and business alignment)
</li><li>Strong communication skills with a data-driven and result-oriented mindset</li></ul>
Get to know us
If you want to know more about us and what we do, then visit our website: www.oredata.com
Why Oredata?<ul><li>
Remote working and flexible time off</li><li>
Open communication, flexibility and start-up spirit</li><li>
Learning &amp; Development opportunities for both personal and professional growth</li><li>
Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)</li><li>
Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)</li><li>
Dynamic work ecosystem where you can take initiative and responsibility</li><li>
Opportunity to work on international projects</li><li>
Private Health Insurance</li><li>
Birthday Leave Policy</li></ul>
Kişisel verileriniz işe alım s&uuml;recinin y&uuml;r&uuml;t&uuml;lebilmesi amacıyla veri sorumlusu sıfatıyla şirketimiz Oredata Yazılım A.Ş. tarafından işlenecektir. Kişisel verilerinizin işlenmesi ve haklarınızla ilgili detaylı bilgiye https://oredata.com/personal-data-protection-policy/ bağlantısı &uuml;zerinden ulaşabilirsiniz.</div>

Data Science Team Lead

Peraton

<div><div><h5 class="jobSectionHeader">ABOUT PERATON</h5>
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world&rsquo;s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we&rsquo;re keeping people around the world safe and secure.</div><div><h5 class="jobSectionHeader">
ABOUT THE ROLE</h5><div><div>
Peraton seeks a Principal Data Scientist to support Department of Defense Cyber Defense Command (DCDC) with DCO AI Cyber Security. Location: Fort Meade, MD. In this role, you will serve as technical lead for the Data Science Team, providing strategic direction for all advanced analytics, AI/ML, and predictive modeling initiatives supporting DCDC enterprise mission requirements.</div><div></div><div> 
Primary Responsibilities</div><ul><li>
Lead team of 6 data scientists, ML engineers, and operations research analysts</li><li>
Design and oversee AI/ML model development including NLP and network analysis</li><li>
Direct campaigns of learning and experimentation for analytic performance evaluation</li><li>
Develop predictive, prescriptive, and descriptive models for DCO-IDM operations</li><li>
Ensure analytics alignment with ASOM and Analytic Crosswalk framework</li><li>
Present analytic findings and recommendations to senior leadership</li></ul></div></div><div><h5 class="jobSectionHeader">
QUALIFICATIONS</h5><div><div>
Required Qualifications:</div><ul><li>
Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D.</li><li>
Expert proficiency in Python, R, and ML frameworks (TensorFlow, PyTorch, scikit-learn)</li><li>
Deep experience with NLP, network analysis, and time-series forecasting</li><li>
Strong background in statistical modeling and experimental design</li><li>
Experience with big data platforms (Hadoop, Spark)</li><li>
5+ years leading technical teams in DoD/IC environment</li><li>
U.S Citizenship required</li><li>
DoD TS with ability to obtain/maintain SCI clearance</li></ul><div>
 Preferred Qualifications:</div><ul><li>
AWS/Azure ML certifications are preferred</li><li>
CISSP certification is preferred</li><li>
Master's degree is required; PhD is preferred in Data Science, Statistics, Computer Science, or related field</li><li>
12 years of relevant experience</li></ul></div></div><div><h5 class="jobSectionHeader">
DETAILS</h5><div>
Target Salary Range: $146,000 - $234,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual&rsquo;s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
</div><div>Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
</div><div>
Application Duration Statement: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
</div>
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.</div></div><div></div>

PRINCIPAL DATA SCIENTIST

The Home Depot

<div>Position Purpose:
The Data Science Sr. Manager - GenBI is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
Key Responsibilities:<ul><li>
50% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments</li><li>
15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs</li><li>
25% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management</li><li>
10% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position reports to Director or above</li><li>
This position has Direct Reports and manages programs</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Proficient managing and growing team members in a professional setting</li><li>
Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting</li><li>
Demonstrated experience with translating high level strategy to tactical execution</li></ul> 
Preferred Qualifications:<ul><li>
11+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Demonstrated expertise in predictive modeling, data mining and data analysis</li><li>
Mastery running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
10</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div>

Data Science Senior Manager - Generative BI

<div>Position Purpose:
Join our newly established Generative Business Intelligence (Gen BI) team and help shape the future of enterprise analytics. As a key player in this strategic initiative, you will partner closely with IT to build a foundational enterprise semantic layer and design advanced, multi-agent architectures. Your work will drive a curated, persona-based approach to Gen BI, empowering end-users across the organization with seamless access to actionable, AI-driven insights grounded in verified, trusted BI metrics. 
The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. 
As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. 
Key Responsibilities:<ul><li>
40% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments</li><li>
25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts</li><li>
15% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management</li><li>
20% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Senior Manager or above</li><li>
This position has Direct Reports &amp; manages programs</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Strong background in Business Intelligence (BI), enterprise data strategy, and semantic layers.</li><li>
Experience building, deploying, or working with AI agents and multi-agent architectures.</li><li>
Hands-on experience with Databricks is a strong plus.</li><li>
9+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Expertise in predictive modeling, data mining and data analysis</li><li>
Mastery running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Experience managing and growing team members in a professional setting</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
8</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div>

Data Science Manager - GenBI

NCRI

<div>We are seeking a Director of Data Science &amp; AI Enablement to lead the strategy, implementation, and adoption of Artificial Intelligence across the organization. This leadership role will drive innovation and operational excellence by enabling data-driven decision-making, advancing AI capabilities, and delivering hyper-personalized financial services for customers.
The Director will oversee the AI strategy across four key pillars:<ul><li>
AI for Everyone: Improving employee productivity through AI tools</li><li>
AI for Citizen Innovators: Enabling teams to build custom automations</li><li>
AI for Builders: Accelerating engineering through AI-powered development</li><li>
AI for Customers: Delivering AI-powered products and personalized customer experiences</li></ul>
This role leads the Data Science &amp; AI Enablement team, manages the AI model lifecycle, and partners with business and technology leaders to embed AI capabilities across the organization.<h2 class="jobSectionHeader">
Key Responsibilities</h2><h3 class="jobSectionHeader">
AI Strategy &amp; Leadership</h3><ul><li>
Define and execute the enterprise AI strategy aligned with organizational goals.</li><li>
Lead the Data Science &amp; AI Enablement team, ensuring operational reliability of deployed AI and LLM models.</li><li>
Direct the full AI/ML lifecycle including model selection, fine-tuning, prompt engineering, RAG design, benchmarking, and evaluation.</li><li>
Establish and lead the AI Center of Excellence (COE) and AI governance frameworks.</li><li>
Partner with Enterprise Architecture, Cybersecurity, and Technology leadership to ensure compliance, security, and scalability of AI systems.</li></ul><h3 class="jobSectionHeader">
AI Innovation &amp; Business Impact</h3><ul><li>
Identify and deliver AI opportunities across business units to improve productivity, operations, and customer experience.</li><li>
Collaborate with product teams to develop AI-driven products and insights.</li><li>
Build advanced machine learning models leveraging large datasets (transactional, marketing, and behavioral data).</li><li>
Translate complex analytical insights into business strategies and measurable outcomes.</li></ul><h3 class="jobSectionHeader">
Cross-Functional Collaboration</h3><ul><li>
Work with engineering teams to productionize machine learning solutions.</li><li>
Partner with stakeholders across product, marketing, operations, customer support, and technology to solve business challenges with AI.</li><li>
Promote a data-driven culture through internal training, workshops, and thought leadership.</li></ul><h3 class="jobSectionHeader"> 
People Leadership</h3><ul><li>
Lead and mentor a high-performing data science and AI team.</li><li>
Align team goals with organizational strategy and forecast future resourcing needs.</li><li>
Foster professional growth and ensure knowledge sharing across teams.</li><li>
Remove operational blockers and enable teams with the tools and processes needed for success.</li></ul><h2 class="jobSectionHeader"> 
Qualifications</h2><ul><li>
Master&rsquo;s or PhD in Mathematics, Statistics, Computer Science, Actuarial Science, or related field</li><li>
Strong background in machine learning, statistics, probability, and algorithms</li><li>
Experience with Python, Scala, R, SQL and machine learning frameworks such as PyTorch, Keras, Scikit-learn, or SparkML</li><li>
Familiarity with cloud platforms (Google Cloud preferred, AWS, Azure)</li><li>
Experience with data visualization tools (Power BI or similar)</li><li>
Proven leadership experience managing data science or AI teams</li><li>
Experience in financial services, brokerage, or retail banking preferred</li><li>
Strong ability to communicate complex technical concepts to business stakeholders</li></ul></div>

Director/Manager, Data Science & AI Enablement

iSchool

<div>iSchool is looking for a highly experienced Senior Data Science &amp; AI Content Developer to lead the creation of innovative, engaging, and industry-aligned learning content .
This is a leadership role where you will design and oversee end-to-end AI &amp; Data Science learning journeys, mentor junior content developers, and ensure all content meets high pedagogical and technical standards.
You will play a key role in shaping how students learn data-driven thinking, machine learning, and real-world AI applications.
Key Responsibilities<ul><li>
Lead the development of comprehensive Data Science &amp; AI curriculum (Beginner Advanced)
</li><li>Design and oversee:
</li><li><ul><li>Interactive lessons and structured learning paths
</li><li>Hands-on projects and real-world case studies
</li><li>Assignments and assessment frameworks
</li></ul></li><li>Mentor and guide junior content developers
</li><li>Define curriculum structure, roadmap, and content strategy
</li><li>Review and enhance content based on student feedback and performance insights
</li><li>Maintain high standards of content quality, clarity, and engagement
</li><li>Contribute to cross-functional and project leadership initiatives</li></ul> 

Requirements 
 
What We&rsquo;re Looking For<ul><li>
Proven experience in Data Science / AI projects
</li><li>Strong ability to teach and structure knowledge effectively
</li><li>Leadership mindset with experience mentoring or managing teams
</li><li>Strong analytical thinking and problem-solving skills
</li><li>Passion for education and student impact</li></ul>
Content &amp; Teaching Skills<ul><li>
Experience in curriculum development and instructional design
</li><li>Ability to create:
</li><li><ul><li>Lesson plans
</li><li>Interactive activities and projects
</li><li>Assignments and assessments
</li></ul></li><li>Strong English communication and content writing skills
</li><li>Ability to simplify complex AI concepts for students
</li><li>Experience working with students or educational platforms is a strong plus</li></ul> 

Benefits 
 
Why Join This Project?<ul><li>
Lead the creation of AI education content at scale
</li><li>Shape the future of data and AI learning in Egypt
</li><li>Flexible project-based engagement with a fast-growing edtech team</li></ul></div>

Senior Data Science & AI Content Developer

Alcon SRL Advanced Intelligence Group

Job Title: Director of Data Science &amp; AnalyticsAbout the RoleWe are seeking a highly experienced Director of Data Science &amp; Analytics to lead enterprise-wide data strategy, AI initiatives, and advanced analytics capabilities. This is a senior leadership role where you will shape how data is used to drive business decisions, innovation, and AI-powered transformation across global operations.If you are passionate about building high-performing data teams, scaling machine learning systems, and turning complex datasets into actionable business intelligence&mdash;this role is designed for you.Why This Role is Attractive<ul><li>Strategic leadership role with global impact</li><li>Opportunity to build and lead an advanced AI &amp; data organization</li><li>Work on large-scale machine learning and predictive analytics systems</li><li>High autonomy in shaping data strategy and technology stack</li><li>Executive-level visibility and influence</li></ul>Key Responsibilities<ul><li>Define and execute enterprise data science and analytics strategy</li><li>Lead teams of data scientists, analysts, and ML engineers</li><li>Build and scale machine learning models for prediction, automation, and optimization</li><li>Develop advanced analytics frameworks for business intelligence</li><li>Oversee data architecture, governance, and quality standards</li><li>Collaborate with CTO, engineering, and product leadership teams</li><li>Translate business challenges into data-driven solutions</li><li>Drive AI adoption across business units</li><li>Present insights and strategic recommendations to executive leadership</li></ul>Required Experience &amp; Skills<ul><li>8+ years in Data Science, Analytics, or Machine Learning roles</li><li>3+ years in leadership or director-level positions</li><li>Strong experience with Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn)</li><li>Expertise in big data platforms (Spark, Hadoop, cloud data warehouses)</li><li>Proven experience building and deploying ML models at scale</li><li>Strong understanding of data engineering and architecture</li><li>Excellent leadership, communication, and stakeholder management skills</li><li>Experience in enterprise or global-scale organizations preferred</li></ul>What We Offer<ul><li>Competitive executive compensation package</li><li>Performance-based incentives</li><li>Opportunity to lead cutting-edge AI transformation</li><li>International project exposure</li><li>Career growth into executive leadership roles</li></ul>Call to ActionIf you're ready to lead a world-class data science organization and shape the future of AI-driven decision-making, we want to hear from you.Apply now and take the next step in your leadership journey.Pay: RO4,000.000 - RO6,500.000 per monthWork Location: In person

Director of Data Science & Analytics

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