Data Scientist Contract

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@marc ellis is #HIRING

Role: Data Scientist

Location: UAE

Duration: 1 Year renewable

Key Responsibilities:

  • Model complex institutional problems, discover business insights, and identify opportunities using statistical, algorithmic, mining, and visualization techniques.
  • Integrate and prepare large, varied datasets, architect specialized databases and computing environments, and communicate results.
  • Work closely with business leaders, data stewards, project/program managers, and IT teams to turn data into critical information and knowledge.
  • Propose innovative solutions to business problems using data mining techniques and validate findings using an experimental and iterative approach.
  • Present findings clearly to business counterparts.
  • Develop and conceptualize sophisticated analytical solutions to achieve incremental revenue, reduce costs, or mitigate financial risks.
  • Lead the discovery process for analytics opportunities with institutional stakeholders.
  • Make strategic recommendations on data collection, integration, and retention.
  • Define standard metrics and KPIs for measuring analytics engagement success.
  • Educate colleagues on new approaches and statistical validation of results.
  • Apply advanced statistical and predictive modeling techniques.
  • Identify relevant data for analytics opportunities, including internal and external sources.
  • Develop innovative approaches to solve business problems using analytics.
  • Utilize data patterns and variations in predictive analysis.
  • Track and monitor the performance of decision systems and statistical models.
  • Recommend and implement ongoing improvements to methods and algorithms.
  • Establish an ecosystem for analytics using tools, processes, and vendors.
  • Serve as a machine learning and AI expert to solve business problems.
  • Coach and groom data scientists on analytics techniques, problem-solving, project management, client relationship management, and teamwork.
  • Hire, train, motivate, and develop data scientists.
  • Define goals and key performance indicators for team members and coordinate performance reviews.

Requirements:

  • Technical Skills:

    • Minimum 3-4 years of working experience with SAS (Base SAS, E-Miner, EG), Python, statistical modeling, machine learning, AI (pattern recognition, NLP, computer vision), data visualization (Power BI), unstructured data (SAS text analyzer), data modeling (JSON, XML), deep learning technologies (Neural networks, LSTM, GAN, RNN), deep learning frameworks (TensorFlow, PyTorch, MXNet), cloud deployment (Microsoft Azure, AWS), distributed computing environments/big data platforms (Cloudera, Hadoop, Apache Spark, Elastic Search), common database systems (SQL, Hive, HBase).

  • Knowledge, Skills, & Experience:

    • Minimum Qualifications: Master’s in Business Administration from top B Schools. Bachelor's degree in Statistics, Computer Sciences, Maths, Operations Research, or related fields. Additional degrees or certifications in data science/analytics preferred.
    • Minimum Experience: Minimum 4 years of experience in Data Science (Analytics, BI, ML Modeling, Deep Learning Algorithms, and ML Ops) in the BFSI sector. Typically 2+ years of relevant quantitative and qualitative research and analytics experience.
    • Knowledge and Skills: Ability to manage analytics engagements independently. Excellent understanding of machine learning and AI techniques and algorithms. Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms. Ability to propose creative solutions to business problems. Strong programming skills and hands-on experience with statistical modeling packages (SAS, R, Python). Experience building a multigenerational scalable platform. Strong communication skills. Experience leading teams. In-depth industry/business knowledge.

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