data analytics chief scientist

Beat Center of Excellence

Job Title: Data Analytics Trainer Location: Edappal Job Type: Full-Time Company: BEAT EducationsJob Overview:BEAT Educations is looking for a skilled and passionate Data Analytics Trainer to join our team in Edappal. In this role, you will be responsible for delivering high-quality training programs that empower learners to build strong foundations in data analytics and succeed in the industry.Key Responsibilities:<ul><li>Develop and deliver comprehensive training on data analytics tools and techniques.</li><li>Create engaging training content, hands-on exercises, and real-world case studies.</li><li>Conduct classroom sessions, workshops, and one-on-one mentoring.</li><li>Assess learner progress and provide timely feedback and support.</li><li>Keep course content up to date with the latest industry trends and technologies.</li></ul>Qualifications:<ul><li>Experience:</li></ul>Proven experience as a Data Analyst, Data Scientist, or in a similar analytics role.<ul><li>Teaching:</li></ul>Prior experience in teaching, training, or mentoring in a professional or academic setting.<ul><li>Technical Skills:</li></ul>Proficiency in:<ul><li>Excel</li><li>SQL</li><li>Python</li><li>Tableau or Power BI</li><li>Education:</li></ul>Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field. Additional certifications in analytics or BI tools are a plus.<ul><li>Soft Skills:</li></ul>Strong communication and presentation skills. Ability to simplify complex concepts and engage learners effectively.Job Types: Full-time, PermanentPay: Up to &#8377;20,000.00 per monthExperience:<ul><li>Teaching: 1 year (Required)</li><li>Data analytics: 1 year (Required)</li></ul>Work Location: In person

Data Analytics Faculty

makbig learn

Responsibilities:<ul><li>Deliver interactive sessions on data science topics, including data wrangling, EDA, machine learning, and model evaluation.</li><li>Create lesson plans, coding exercises, and real-world projects.</li><li>Mentor students, providing clear explanations and constructive feedback.</li><li>Stay updated on industry tools and trends to enhance course content.</li><li>Assess student performance through projects and assignments.</li></ul>Requirements:<ul><li>Degree in Data Science, Computer Science, Statistics, or related field.</li><li>Experience as a Data Scientist or similar role.</li><li>Strong teaching, communication, and mentoring skills.</li><li>Proficiency in Python (Pandas, Scikit-learn), SQL, and data visualization.</li></ul>Job Type: Full-timePay: &#8377;15,000.00 - &#8377;30,000.00 per monthLanguage:<ul><li>English (Required)</li></ul>Work Location: In person

Data Science Mentor

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 You will use data creatively to solve business challenges, often uncovering new and transformative opportunities along the way.
 
 
 In this role, you will focus on the development of advanced analytics models to optimize underlying business problems. You will apply state-of-the-art advanced analytics, quantitative tools and modeling techniques to interpret, make inferences and offer recommendations based on insights from the data. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and create new lines of thinking within an infinite number of clients and situations.
 
 
 You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data. You will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients&rsquo; key operational processes while continually improving the impact of these processes.
 
 
 You will be based in our Cairo office as part of our QuantumBlack, AI by McKinsey team, partnering with consultants, clients, and other colleagues.
 
 
 Our QuantumBlack, AI by McKinsey team brings the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate degree in mathematics, statistics, physics, engineering; master's degree is a plus
 </li>
 <li>
 3+ years of professional experience in programming; experience applied to business problems is a plus
 </li>
 <li>
 Experience in programming (focus on machine learning) in Python; knowledge in SPSS, SAS, Ruby, Hadoop is a plus
 </li>
 <li>
 Experience in data treatment/data mining: SQL, AWK, Access, Spark, Excel
 </li>
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 Demonstrated aptitude for analytics; statistical knowledge is a plus
 </li>
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 Proven record of leadership in a work setting and/or through extracurricular activities
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Ability to communicate complex ideas effectively, both verbally and in writing, in English; fluency in local office language(s) is a plus
 </li>
 </ul>
</div>

Data Scientist - QuantumBlack, AI by McKinsey

Çalık Enerji

<div>
 
 Since its establishment in 1998, &Ccedil;al&inodot;k Enerji has been delivering energy from nature to people across a wide geography including the CIS countries, the Middle East, Central Asia, Africa, and the Balkans. Through its successful projects, the company aims to create a better and more sustainable future and ranks among the world's leading energy companies.
 
 
 &Ccedil;al&inodot;k Enerji continues its operations in Romania, Turkmenistan, Uzbekistan, Iraq, and Senegal in the areas of EPC Contracting Operations, Distribution-Retail, and Renewable Energy Investments.
 
 
 
 
 
 We are currently looking for a Data and Analytics Leader to be based at our Istanbul Head Office.
 
 
 
 
 
 
 QUALIFICATIONS
 
 
 <ul>
 <li>
 Graduated from relevant departments of universities,
 </li>
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 Minimum 10 years of experience in data management and analytics,
 </li>
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 Proven leadership in large-scale data projects,
 </li>
 <li>
 In-depth knowledge of modern data technologies (Hadoop, Spark, Kafka, etc.),
 </li>
 <li>
 Experience with cloud data platforms (Azure, AWS, GCP),
 </li>
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 Expertise in SQL, Python/R, and data visualization tools,
 </li>
 <li>
 Strong business intelligence and strategic thinking skills,
 </li>
 <li>
 Strong communication skills and a team-oriented mindset.
 </li>
 </ul>
 
 
 
 
 
 JOB DESCRIPTION
 
 
 <ul>
 <li>
 Develop the corporate data strategy and vision,
 </li>
 <li>
 Establish the data governance model, define data ownership and responsibilities,
 </li>
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 Design and implement a Master Data Management (MDM) strategy; set data quality standards and SLAs,
 </li>
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 Manage the data lifecycle,
 </li>
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 Design modern data architecture (Data Lake, Data Warehouse),
 </li>
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 Manage data integration strategy and tools; implement real-time data processing infrastructure,
 </li>
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 Develop strategy for cloud data platforms (Azure, AWS, GCP); optimize data pipelines,
 </li>
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 Conduct performance and capacity planning,
 </li>
 <li>
 Establish and manage self-service BI platforms,
 </li>
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 Define standards for dashboards and reporting; develop predictive and prescriptive analytics use cases,
 </li>
 <li>
 Establish a Data Science Center of Excellence (CoE) and manage the analytics model lifecycle,
 </li>
 <li>
 Turn business insights into actionable outcomes,
 </li>
 <li>
 Define and implement data security policies,
 </li>
 <li>
 Manage KVKK/GDPR compliance processes; define data classification and sensitivity levels,
 </li>
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 Set up access control and authorization matrices; implement data masking and anonymization strategies,
 </li>
 <li>
 Coordinate security audits,
 </li>
 <li>
 Build and develop the data team,
 </li>
 <li>
 Conduct performance evaluations and career planning; enhance technical competencies,
 </li>
 <li>
 Manage data literacy programs and ensure coordination of data projects with stakeholders.
 </li>
 </ul>
 
 
</div>

Data and Analytics Leader

Khazna

<div>
 
 
 Company Overview
 
 🚀
 
 
 
 
 
 Khazna was founded in 2019 with a mission to improve the financial well-being of the underbanked, who have little access to formal financial services by providing access to convenient, effective and secure smartphone-based financial services. Khazna has received the Central Bank of Egypt&rsquo;s first prepaid card license and aims to become the go-to specialized bank for underbanked mid-to-low-income consumers across the Middle East. In the next phase of its journey, Khazna is looking to continue scaling up its operations in Egypt and to launch its operations in Saudi Arabia.
 
 
 
 
 
 🌟We are consistently on the lookout for rock stars to help us solve for financial inclusion.
 
 
 
 
 
 
 Job Summary
 
 💼
 
 
 As the Head of Analytics at Khazna, you will be instrumental in building and running a team that will elevate our data-driven approach to new heights. This role encompasses leadership, innovation, and strategic thinking to propel our advanced analytics and automation team forward. We are seeking an exceptional candidate to build and lead a diverse team, revolutionize reporting, streamline data processes, and champion a culture of continuous improvement.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 
 Build and Lead a Diverse and High-Performing Team:
 
 </li>
 <li>
 Develop and implement strategies to attract and retain exceptional talent with diverse skill sets, creating a team that thrives on collaboration and innovation.
 </li>
 <li>
 Nurture an environment that encourages creativity, curiosity, and professional growth, leveraging each member&rsquo;s strengths to position our analytics and automation team as a center of excellence.
 </li>
 <li>
 
 Improve Reporting and Insights:
 
 </li>
 <li>
 Pioneer the development, implementation, and stabilization of state-of-the-art reporting systems that meet current needs and anticipate future requirements.
 </li>
 <li>
 Collaborate with cross-functional teams to proactively identify business trends and bottlenecks, ensuring our reporting remains a key driver of strategic decision-making and process improvement.
 </li>
 <li>
 
 Relieve Data Collection and Governance Bottlenecks:
 
 </li>
 <li>
 Conduct a comprehensive review of data collection processes, identifying and implementing solutions to optimize efficiency and accuracy.
 </li>
 <li>
 Institute and champion a culture of data governance, collaborating with Tech and Legal teams to ensure compliance with industry regulations.
 </li>
 <li>
 
 Promote a Data-Driven Culture:
 
 </li>
 <li>
 Own the data strategy and roadmap that enables data to become an enterprise-wide asset driving revenue growth and cost optimization.
 </li>
 <li>
 Lead by example in promoting a data-centric mindset across the organization, influencing teams at all levels to leverage data in decision-making processes.
 </li>
 <li>
 Establish and lead regular forums for knowledge-sharing and cross-functional collaboration, fostering a culture of continuous learning.
 </li>
 <li>
 Stay abreast of emerging trends and technologies, providing strategic insights to the executive team to drive future growth.
 </li>
 <li>
 
 Innovative Solutions and Research:
 
 </li>
 <li>
 Encourage and support the team in exploring innovative solutions and researching to stay ahead of industry trends.
 </li>
 <li>
 Foster an environment that encourages experimentation and the development of cutting-edge analytics and automation.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Proven experience (10+ years) in a leadership role within analytics, preferably in the fintech industry.
 </li>
 <li>
 Expert command in Python and SQL.
 </li>
 <li>
 Extensive knowledge of advanced analytics and automation technologies.
 </li>
 <li>
 Track record of building and managing diverse, high-performing teams.
 </li>
 <li>
 Exceptional problem-solving skills and the ability to translate complex data into strategic business insights.
 </li>
 <li>
 Expertise in implementing data governance and quality assurance processes.
 </li>
 <li>
 Strong communication and interpersonal skills with the ability to influence and collaborate across different departments.
 </li>
 </ul>
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s. in Computer Science, Statistics, Data Science, Engineering, Mathematics, or a related field.
 </li>
 </ul>
 
 
 
 
 ✨
 
 Join Khazna
 
 and contribute your skills and expertise to our mission of revolutionizing digital payments 💳 and driving financial inclusion 🌍 across the region.
 
 
 
 
 
 🚀
 
 Apply now
 
 to be part of a team that is shaping the future of finance in Egypt and Saudi Arabia!
 
 
 
</div>

Head of Data & Analytics

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Position Overview
We are seeking an experienced Lead Data Scientist (LMTS) to drive data science innovation in predictive modeling and AI within Salesforce&rsquo;s infrastructure domain. As a technical leader, you will design, deploy, and operationalize advanced forecasting and anomaly detection models at scale. You will also shape the roadmap for integrating foundation models and LLMs into production forecasting workflows, enabling faster root cause analysis, proactive recommendations, and automated insights for stakeholders across capacity, cost, and infrastructure planning.
This is a hands-on technical leadership role: you will not only build models but also set technical direction, mentor other data scientists, and raise the bar for reproducibility, scalability, and explainability across our platform.
Responsibilities
<ul><li>Lead the design, development, and deployment of high-impact forecasting models used across capacity planning, FinOps, and infrastructure cost management.
</li><li>Partner with cross-functional leaders (capacity planners, finance, engineering) to shape requirements, influence priorities, and ensure models solve real-world infrastructure challenges.
</li><li>Act as a multiplier on the team by mentoring SMTS/MTS data scientists, providing technical coaching, and instilling best practices in reproducibility, CI/CD, monitoring, and model lifecycle management.
</li><li>Drive the adoption of LLMs and foundation models in applied infrastructure management &mdash; defining architectures, guiding experimentation, and leading integration into production workflows.
</li><li>Own end-to-end quality of deliverables, ensuring models are accurate, robust, observable, and aligned with trust and security standards.
</li><li>Contribute to the broader data science community at Salesforce by sharing methodologies, influencing platform standards, and reviewing technical designs across teams.
</li><li>Champion continuous improvement in data science processes, proactively addressing tech debt, standardizing pipelines, and defining metrics (SLIs/SLOs) to measure forecast performance. 
 
 
</li></ul>Qualifications
<ul><li>Advanced technical degree in a relevant field (Computer Science, Statistics, Operations Research, Applied Math, etc.).
</li><li>8+ years of industry experience building and deploying machine learning solutions (time series forecasting experience strongly preferred).
</li><li>Proven ability to lead technical direction for data science projects, mentor junior members, and influence cross-team engineering practices.
</li><li>Demonstrated success delivering production-grade ML/AI systems in cloud environments (AWS/GCP), including monitoring, CI/CD, and observability.
</li><li>Strong expertise in time series forecasting and ML methods; familiarity with foundation models and LLMs in applied data science.
</li><li>Proficiency in Python and modern DS/ML tools (mlFlow, Airflow, Docker, Spark, SQL, Pandas/Sklearn).
</li><li>Strong communicator, capable of influencing both technical and non-technical stakeholders, and of synthesizing complex data science concepts into actionable insights.
</li><li>Track record of driving measurable business impact through data science solutions at scale.
</li></ul>BENEFITS &amp; PERKS
<ul><li>Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!
</li><li>World-class enablement and on-demand training with Trailhead.com
</li><li>Exposure to executive thought leaders and regular 1:1 coaching with leadership
</li><li>Volunteer opportunities and participation in our 1:1:1 model for giving back to the community
</li><li>For more details, visit https://www.salesforcebenefits.com/
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Lead Data Scientist | LMTS

MOORINGS PARK

<div>Moorings Park is seeking a visionary Vice President of Data &amp; Analytics to drive enterprise-wide data strategy, innovation, and digital transformation. This is an exceptional opportunity to join a mission-driven organization committed to excellence in resident experience, operational performance, and forward-thinking technology solutions. 
About the Role
The Vice President of Data &amp; Analytics will lead Moorings Park&rsquo;s efforts to harness data and emerging technologies to improve operations, enhance resident and partner experiences, and position the organization as a data-empowered leader in the senior living industry. You will oversee organizational data strategy, architecture, governance, and analytics, and champion technology-enabled innovation in collaboration with executive and operational leaders.
You&rsquo;ll report to the CFO and directly supervise roles such as the Clinical Informatics Analyst and Software Engineer. This position plays a pivotal leadership role in aligning enterprise systems, technology platforms, and analytic tools with our strategic goals and resident-centered mission. 
Key Responsibilities
Data Strategy &amp; Governance<ul><li>
Develop and lead an enterprise data strategy that integrates internal and external data as strategic assets.</li><li>
Implement data governance policies and practices across departments and systems.</li><li>
Oversee data integrity, quality, architecture, and security.</li></ul>
Technology-Enabled Innovation<ul><li>
Champion a culture of data-driven innovation and operational excellence.</li><li>
Lead initiatives applying AI, automation, and digital tools to improve clinical workflows, resident experience, and partner engagement.</li><li>
Stay abreast of trends in senior living, healthcare, and hospitality tech.</li></ul>
Systems Evaluation &amp; Integration<ul><li>
Evaluate and guide adoption of digital tools through the lens of data strategy and interoperability.</li><li>
Lead ROI analysis, system lifecycle planning, and vendor reviews to inform capital planning.</li><li>
Align enterprise systems with long-term innovation goals.</li></ul>
Team Leadership &amp; Cross-Functional Alignment<ul><li>
Provide strategic direction to analytics and innovation team members.</li><li>
Collaborate closely with Technology Operations and department heads to ensure alignment across infrastructure, systems, and strategy.</li><li>
Act as a change agent across all campuses to promote adoption of new tools and digital workflows.</li></ul> 
Qualifications<ul><li>
Excellent oral and written communication skills in the English language required</li><li>
During emergencies or natural disasters may be required to be on duty for the duration of the disaster.</li></ul>
Education<ul><li>
Bachelor&rsquo;s degree required; Master&rsquo;s degree in Data Science, Business, Health Administration, or related field preferred.</li><li>
Additional certifications in analytics, innovation, or data governance a plus.</li></ul>
Experience<ul><li>
7&ndash;10 years of progressive leadership in data strategy, innovation, digital transformation, or IT strategy.</li><li>
Proven success in leading digital initiatives in complex, multi-site environments.</li><li>
Background in senior living or healthcare preferred.</li></ul>
Skills<ul><li>
Strategic thinker with strong business acumen and project leadership capabilities.</li><li>
Excellent communicator and influencer across disciplines and levels.</li><li>
Strong understanding of enterprise data platforms, AI tools, analytics dashboards, and cloud solutions.</li><li>
Ability to evaluate technology from a data integration and ROI lens.</li></ul> 
Moorings Park &reg; Communities, a renowned Life Plan organization includes three unique campuses located in Naples, Florida. We offer Simply the Best&reg; workplaces through a culture of compassionate care for both our residents and our partners.
Simply the Best Benefits for our partners include:<ul><li>
FREE health and dental insurance</li><li>
FREE Telemedicine for medical and behavioral health</li><li>
Vision insurance, company paid life insurance and short-term disability.</li><li>
Generous PTO program</li><li>
HSA with employer contribution</li><li>
Retirement plan with employer match</li><li>
Tuition reimbursement program</li><li>
Wellness program with free access to on-site gym</li><li>
Corporate discounts</li><li>
Employee assistance program</li><li>
Caring executive leadership</li></ul></div>

Vice President of Data & Analytics

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