Data Scientist

Technical Competency: -

• Play a key role to solve complex problems, pivotal to Valentas business and drive actionable insights from petabytes of data
  
• Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping
  
• Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems
  
• Partner with team members and clients to assess customer needs and define business questions
  
• Clearly articulate and present recommendations to business partners, and influence future plans based on insights
  
• Work with customer centric mindset to deliver high quality business driven analytic solution
  
• Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving
  
• Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans
  

Professional Competency: -

• Drive data-derived insights across a wide range of divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiative.
  
• Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals
  
• Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights
  
• Build and train statistical models and machine learning algorithms
  
• Apply your semantic, natural language processing and understanding expertise where required
  
• Productionize the models and make those available at scale
  
• Build and maintain end to end Machine Learning pipelines
  
• Be comfortable with ambiguity and uncertainty and the eagerness to change the world in a huge way by being a self-motivated learner and builder
  
• Communicate recommendations to business partners and influencing future plans based on insights
  

 Qualifications and Experience:

• Bachelor's/ Master's degree in Statistics, Mathematics, Computer Science or a related field and 3 years' experience in an analytics/DS related field.
  
• High proficiency in data mining, modelling, validation and insight generation.
  
• Excellent working knowledge of statistics, mathematics, machine learning, data mining, deep learning
  
• High proficiency in coding, including Python, Java and SQL
  
• Experience with databases (for example, DB2, Oracle, SQL Server)
  
• Experience with Big Data technologies such as Pig, Hadoop , Hive and/or Spark
  
• Exposure to Statistical Toolkits such as R, Weka, MATLAB etc.
  
• Experience with data visualization tools PowerBI, Tableau, R Shiny, etc. preferred
  
• Deep learning frameworks such as TensorFlow, Keras, Torch
  
• Understanding/experience with the Google Cloud Platform/AWS/Azure
  
• Proven ability to collaborate and work in teams
  
• Excellent with communications and stakeholder engagement
  
• Data science publications in recognized platforms/journals
  
• Proven ability to work in agile mode on data science sprint projects
  

Benefits:

• Opportunity to work directly with Valenta's clients across North America and Europe, Middle East, Australia, and New Zealand and gain immense exposure and knowledge expansion in your field of interest
  
• International travel opportunities to directly meet with global clients, provide on-site solutions, and represent the company at various industry events and conferences.
  
• Flexible working options
  
• Professional development training programs offered as part of career growth
  
• Experience fantastic culture & sense of purpose