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Lloopp Natural Intelligence Solutions is looking for a Senior Data Scientist who can support relevant stakeholders through quantitative analytics, and the application of appropriate advanced analytics for the business’s key initiatives.

The Senior Data Scientist oversees the activities of the junior data scientists and provides advanced expertise on statistical and mathematical concepts for the broader Data and Analytics department. The Senior Data Scientist applies and inspires the adoption of advanced data science and analytics across the business.

Objectives and Responsibilities

  • Plays a managerial role where he oversees the activities of the junior data analysts, ensuring proper execution of their duties, and alignment of activities with business’s overall vision and objectives.
  • Communicates processes, findings and insights clearly highlighting risks and mitigations accordingly. Develop and refine reports and presentation on junior data science departmental performance as well as proposed data science and analytics strategies.
  • Ensures that the data scientist department adopts the best in class processes and techniques for statistical analysis and modeling as well as leading the roll out of Big Data capabilities, consumer initiatives, analytics framework, and best practices within the department and the Data and Analytics department.
  • Ensures that the data scientist department is constantly building effective working relationships and building data-fueled solutions that drive the business closer to its overall goals and objectives.
  • Provides mentorship and guidance to junior data analysts while simultaneously guaranteeing statistical integrity, accuracy, and adequacy within the department.
  • Plays an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics vision and machine learning solutions to challenge various business issues.
  • Builds and maintains a large-scale analytics infrastructure to be used across the business and consistently conducts research, design, implementation, and validation of cutting-edge algorithms in order to analyze diverse data sources in order to enable desired business outcomes in diverse fronts.
  • Designs, develops, and implements data management systems of analytics frameworks for the business’s data.
  • Applies advanced statistical capabilities and delivers statistical models, for example, consumer predictive value, churn, segmentation and profiling, association models, and so forth.
  • Develops and implements state-of-the-art analytical algorithms for object detection, segmentation, classification, and recognition.
  • Capable of modeling complex discovering insights and identifying business opportunities through the use of algorithmic, statistical, visualization, and mining techniques.
  • Translates business requirements into quick prototypes and enable the development of big data capabilities, frameworks, and governance processes in the department and the business at large enabling more effective execution of data and analytics campaigns and the achievement of overall business targets/objectives.
  • Works closely with the junior data analysts in developing new and improved analytics systems, all the way from prototyping to production.
  • Works with senior management and key stake holders in identifying and prioritizing actionable, impactful insights across a variety of core business fronts, driving informed decision-making across the business and, hence, enhancing the business’s capability to achieve goals and objectives.
  • Responsible for keeping up and providing insights to the data science department and the larger Data and Analytics department on leading data science and analytic practices, trends, design, learning and development cycles, which improves the business’s overall performance by improving data and analytics programs that provide high-impact insights.
  • Performs similar duties as he deems fit for the proper execution of his duties and duties as delegated by the Head of Data Science, Chief Data Officer, or the Employer.

Required Qualifications, Skillsets & Experience

  • The Senior Data Scientist has to have a bachelor’s degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field. An equivalent of the same in working experience is also acceptable for the position.
  • Must have had at least 5 years of working experience working with in data science capacity within a fast-paced and complex business setting, preferably working as a Senior Data Scientist.
  • Has experience working with natural language processing as well as experience working with machine learning libraries, for example, xgboost, OpenCV, sklearn, among others.
  • Must also have had substantial experience working on strategy or full-life cycle data science as well as experience working with data mining tools such as SAS, Python, SPSS, and R.
  • Must have extensive experience in data mining and predictive modeling inclusive of linear and non-Linear regression, logistic regression, and time series analysis models.
  • Must have experience working with deep learning algorithms and large datasets as well as experience working with unstructured data and experience cleaning and manipulating data.
  • Must have exceptional communication skills in his collaborative role and in the delivery of clear, engaging, and understandable reports.
  • Capable of tailoring complex messages into simplified and business applicable material for key stakeholders and senior data science management.
  • Must also have demonstrated exceptionally good skills in SQL server reporting services, analysis services, domo, integration services, NoSQL, Tableau, Salesforce, or other data visualization tools.
  • Must have exceptionally good computer skills and be all-around technologically adept.
  • Has a strong foundation in data structures, algorithms, statistics, and machine learning as well as be highly proficient in Java, C++, or other equivalent languages.
  • Possesses strong SQL skills, Teradata, Greenplum, and be highly skilled in working with platforms, such as Hadoop.
  • Must be a result-oriented individual, be a self-motivated and proactive needing minimal supervision, be a strategic and creative thinker, have an ability to handle multiple simultaneous projects, be highly organized able to prioritize and meet tight deadlines, have a keen eye for detail, have an ability to work comfortably in a group/collaborative setting, take accountability for business and team performance, have an ability to stay calm and composed in times of uncertainty and stress.
  • Must have the ability to communicate analytics strategy, processes, findings or results, insights and risks & mitigations.


We are looking for Data Scientists who will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, statistical and machine learning analyses, and building high quality prediction, recommendation, and optimization systems integrated with our products.

The Data Scientists will:

  • Research and develop statistical and machine learning models
  • Enhance data collection procedures to support various use cases
  • Optimize development efforts through appropriate database use and systems design
  • Convert use cases into prototypes through algorithm design and development
  • Keep up-to-date with latest technology trends (e.g. IoT, Big Data, Artificial
  • Intelligence, Computer Vision, BioTech, FinTech)


Bachelor’s/Master’s degree in Mathematics, Statistics, Computer Science, Computer Engineering or related field


  • 1 to 3 years of experience manipulating large datasets and using databases; able to understand various data structures and common methods in data transformation
  • Experience in Natural Language Process (NLP) and machine learning are preferred
  • Proficient in programming languages such as R, Python, Java, Java Script, C/C++/C#
  • Excellent pattern recognition and predictive modeling skills
  • Extensive background in data mining and statistical analysis
  • Familiarity with basic principles of distributed computing and/or distributed databases
  • Demonstrated ability to understand new concepts quickly – all the way down to theorems – and to come up with original solutions to mathematical issues
  • Knowledge of one or more business/ functional areas
  • Good communication and interpersonal skills


We are looking for Business Development and Key Account Managers who will identify opportunities and develop strategic relationships with customers and partners who need help with their data.

The Business Development and Account Manager will:

  • Build relationships with new and existing clients
  • Develop a thorough understanding of a prospect’s people and capabilities
  • Plan approaches and pitches. Develop proposals that address client needs and objectives
  • Present new products and services and enhance existing relationships
  • Attend industry functions, such as association events and conferences
  • Identify opportunities for campaigns, new products and services, and distribution channels


  • Bachelor’s degree with 3-5 years of experience in selling technical services and solutions
  • Advanced knowledge in Business Development, Sales Planning, and Networking
  • Experience working in start-up organization preferred but not required
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