Data Scientist

Do you want to be part of a team pioneering advanced analytics throughout the world? Do you want to directly affect the lives of millions of customers in the markets of tomorrow? At Amplify, we are helping organizations to make use of existing data to take successful fact-based commercial decisions.

We are looking for a self-driven Data Scientist who is passionate about fields such as machine learning and predictive modelling but also software engineering, database management and big data concepts. You will be the driving force in creating insights from data and turning them into real business actions while playing a vital role in developing data-driven products, architectures and developing our growing data science team.

 

Our expectation:

  • Gather, analyze and summarize information of multiple types
    Working with Big Data and customer-provided information, you will be the go-to person for the extraction, cleansing, and review of huge volumes of data from various sources.
  • Pay attention to detail (for real)
    We need to understand intimately our client’s business, their challenges, stakeholders, and ways of working. Our models are trustworthy, replicable, and not a black box, but to become that, we need to take into consideration every piece of information we can get our hands-on.
  • Formulate problem statements and test them
    Working closely with our business analysts, you will be involved in the end-to-end formulating and testing of problem statements using advanced modelling techniques. You will provide your expertise to ensure our projects and promises are feasible and adequate to the business challenges and opportunities
  • Develop and communicate recommendations
    Based on the outputs of the analytical models that we have built together, we will need to be clear in our recommendations to our clients. Although our business analysts will be the driving engine of the communications process, your knowledge of the data and the analytical approach will be vital to forming our final insights and explaining our models.
  • Educate your peers
    Part of our strategy is to equip our business analysts with some data manipulation skills. To achieve this, we will expect our data scientists to spread their knowledge. We have a culture of teamwork, sharing, and mutual support, so when people have questions, we take a minute and give them a hand.
  • Work on a daily basis with a diverse group of individuals from across the globe
    Having data scientists and business analysts working closely together has proven to be the most efficient for our complex large-scale projects.
  • Be a self-sufficient data scientist, capable of participating and/or lead multiple engagements simultaneously, delivering tangible and timely insights, communicating with a multitude of colleagues and clients, and enjoying the dynamic life you are living.

 

We treasure diversity and encourage candidates with different backgrounds and experience to apply:

  • Education – Master’s Degree in Statistics, Econometrics, Applied mathematics, Computer science, or another related field.
  • A strong understanding of the fundamentals of Machine Learning theory, Probability and Statistics is essential.
  • Experience in addressing problems from Operations Research and Forecasting will be an advantage.
  • 2+ years of experience with advanced modelling tools (R, Python, MySQL, Spark, etc.) is required.
  • 2+ years of experience with frameworks/ libraries like Sklearn/ Tensorflow/ Pytorch is required.
  • Hands-on experience in automating data science models and data pipelines will be an advantage.
  • Hands-on experience in on-demand cloud computing platforms like AWS, Microsoft Azure will be an advantage.
  • Experience with database, scripting, and programming languages.
  • Strong analytical and problem-solving skills.
  • Strong interpersonal and communication skills.
  • Ability to translate technical language to a non-technical audience.
  • Excellent organizational skills and time management.
  • Fluent/Native English proficiency is an absolute must.

 

When choosing Amplify, here is what you need to know:

  • We work with international clients, so travel is occasional, conference calls are daily.
  • Dynamic is one way to describe Amplify. We have ambitious growth plans which means you will be joining a growing, changing, evolving, learning, and never-giving-up, can-do organization. At the same time, challenges are faced as a team, in which people respect each other, so do not expect a Wolf of Wall Street kind of atmosphere.
  • Flat structure and relaxed, sensible atmosphere – we are goal-oriented and pragmatic.
  • Work-life balance is a priority that we take seriously – we know that happy people are productive people.
  • We will compete for every piece of the pie – the world’s top consultancies are up against us, so our level of interaction and deliverables need to be exceptional.

Do you want to be part of a team pioneering advanced analytics throughout the world? Do you want to directly affect the lives of millions of customers in the markets of tomorrow? At Amplify, we are helping organizations to make use of existing data to take successful fact-based commercial decisions.

We are looking for a self-driven Data Scientist who is passionate about fields such as machine learning and predictive modelling but also software engineering, database management and big data concepts. You will be the driving force in creating insights from data and turning them into real business actions while playing a vital role in developing data-driven products, architectures and developing our growing data science team.

Our expectation:

  • Gather, analyze and summarize information of multiple types
    Working with Big Data and customer-provided information, you will be the go-to person for the extraction, cleansing, and review of huge volumes of data from various sources.
  • Pay attention to detail (for real)
    We need to understand intimately our client’s business, their challenges, stakeholders, and ways of working. Our models are trustworthy, replicable, and not a black box, but to become that, we need to take into consideration every piece of information we can get our hands-on.
  • Formulate problem statements and test them
    Working closely with our business analysts, you will be involved in the end-to-end formulating and testing of problem statements using advanced modelling techniques. You will provide your expertise to ensure our projects and promises are feasible and adequate to the business challenges and opportunities
  • Develop and communicate recommendations
    Based on the outputs of the analytical models that we have built together, we will need to be clear in our recommendations to our clients. Although our business analysts will be the driving engine of the communications process, your knowledge of the data and the analytical approach will be vital to forming our final insights and explaining our models.
  • Educate your peers
    Part of our strategy is to equip our business analysts with some data manipulation skills. To achieve this, we will expect our data scientists to spread their knowledge. We have a culture of teamwork, sharing, and mutual support, so when people have questions, we take a minute and give them a hand.
  • Work on a daily basis with a diverse group of individuals from across the globe
    Having data scientists and business analysts working closely together has proven to be the most efficient for our complex large-scale projects.
  • Be a self-sufficient data scientist, capable of participating and/or lead multiple engagements simultaneously, delivering tangible and timely insights, communicating with a multitude of colleagues and clients, and enjoying the dynamic life you are living.

 

We treasure diversity and encourage candidates with different backgrounds and experience to apply:

  • Education – Master’s Degree in Statistics, Econometrics, Applied mathematics, Computer science, or another related field.
  • A strong understanding of the fundamentals of Machine Learning theory, Probability and Statistics is essential.
  • Experience in addressing problems from Operations Research and Forecasting will be an advantage.
  • 2+ years of experience with advanced modelling tools (R, Python, MySQL, Spark, etc.) is required.
  • 2+ years of experience with frameworks/ libraries like Sklearn/ Tensorflow/ Pytorch is required.
  • Hands-on experience in automating data science models and data pipelines will be an advantage.
  • Hands-on experience in on-demand cloud computing platforms like AWS, Microsoft Azure will be an advantage.
  • Experience with database, scripting, and programming languages.
  • Strong analytical and problem-solving skills.
  • Strong interpersonal and communication skills.
  • Ability to translate technical language to a non-technical audience.
  • Excellent organizational skills and time management.
  • Fluent/Native English proficiency is an absolute must.

 

When choosing Amplify, here is what you need to know:

  • We work with international clients, so travel is occasional, conference calls are daily.
  • Dynamic is one way to describe Amplify. We have ambitious growth plans which means you will be joining a growing, changing, evolving, learning, and never-giving-up, can-do organization. At the same time, challenges are faced as a team, in which people respect each other, so do not expect a Wolf of Wall Street kind of atmosphere.
  • Flat structure and relaxed, sensible atmosphere – we are goal-oriented and pragmatic.
  • Work-life balance is a priority that we take seriously – we know that happy people are productive people.
  • We will compete for every piece of the pie – the world’s top consultancies are up against us, so our level of interaction and deliverables need to be exceptional.
Location: Bulgaria India

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