Job Description

Job Title Data Science & Analytics Director

Description

Salt is currently representing one of our clients, who is looking to hire a Data Science & Analytics Director, based in Dubai, UAE.

Essential Functions * Lead a team of analysts within Global Data Science, including project oversight, mentoring, and professional development

• Work with internal and external clients to understand their strategic business questions and lead project prioritization and design to answer those questions using data.
• Lead other tasks on R&D, data governance, system infrastructure, analytics tool evaluation, and other cross-team functions, on an as-needed basis
• Ability to encourage the highest level of quality and thought leadership in reports & data analysis
• Guide team in the development of meaningful solutions and creation of work you're doing that optimally communicates the findings and recommendations
• Develop unique global data assets in order to support other Data Science teams in answering critical questions for business teams.
• Measure effectiveness of utilization of data assets and for advising resources towards high potential data sources, knowledge, and technology assets.
• Use big data and cutting-edge data mining techniques, provide guidance on analytic techniques and business applications to unlock the value of our data set
• Led development of assets supporting scalable analytic approaches capable of being used by data scientists globally
• Make recommendations and build use cases on new sources of value by addressing the biggest gaps in our data sources in relation to revenue potential
• Voice support for new analytic approaches for processing big data through internal training, documentation and by leading technical sharing sessions
• Utilize Hadoop, and related query engines, such as Hive and Impala, to perform sophisticated data mining
• Research industry metrics and business context and bring this context to bear in analyses
• Find opportunities to create and automate repeatable analyses or build self-service tools for business users
• Direct the execution of medium to large analytic projects based on business requirements and desired business outcomes.
• Define detailed analytic scope and methodology, and create architecture plans for data assets.

Qualifications

Basic Qualifications

• 10 years of work experience with a Bachelor's Degree or at least 8 years of work experience with an Advanced Degree (e.g. Master's, MBA, JD, MD) or at least 3 years of work experience with a PhD degree

Preferred Qualifications

• 12-15 years of work experience with a Bachelor's Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
• Minimum of 7+ years of analytical experience in applying solutions to business problems in relevant fields such as analytics, business consulting, or other related functions
• Post Graduate degree in quantitative/relevant field such as Statistics, Operational Research, Computer Science, Economics, Business Administration, etc.
• Experienced knowledge of databases and engineering concepts with hands on experience with one or more data analytics/programming tools such as SAS/Hive/R/SQL/Python
• Knowledge of big data engineering stack including Hadoop, Spark, Kafka and other related components
• Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) is strongly preferred
• Previous experience with a consulting firm delivering consulting services to financial services clients is a plus
• Proven experience in planning, organizing, and leading multiple multi-functional projects with diverse cross-functional partners
• Good discernment to orient data analysis to the business needs of clients
• Eloquent communicator able to translate data and technical concepts for a business audience
• Demonstrated ability to innovate solutions that tackle business problems
• Strong business acumen with proven ability to solve business problems through industry-leading engineering methodologies.
• Experience in ecommerce, payment, retail banking, or retail merchant industries is preferred
• Team-oriented, collaborative, respectful, and flexible style, with the ability to tailor results to varied audiences
• Detailed orientation is expected to ensure the highest level of quality in planning and roadmap development for deliverables
• Proven track record in translating analytics output to significant recommendations, and delivery
• Experience in communicating ideas and analysis to a technical audience
• Exhibit intellectual curiosity and strive to continually learn

If you believe you match these values, we look forward to meeting you!

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