Data Scientist

Job Description

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