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Senior Data Scientist Remote

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Senior Data Scientist Description

Job #: 50678
Striving for excellence is in our DNA. Since 1993, we have been helping the world’s leading companies imagine, design, engineer, and deliver software and digital experiences that change the world. We are more than just specialists, we are experts.

DESCRIPTION


A remote Senior Data Scientist is needed. This job is about turning (big) data into actionable knowledge, which requires a blend of scientific, problem solving, analytical, technical, and communication skills.

This position is a part of our new EPAM Anywhere program for remote workers. EPAM Anywhere offers a variety of IT jobs for remote workers. Join us to work on ambitious and long-term projects, get a stable workload, and enjoy a work-life balance!

Responsibilities

  • Identifying the business problems
  • Finding the right data and methods to address them
  • Building and validating analytical models
  • Presenting the findings in a clear and informative way
  • Should be able to:
    • Convert large volumes of structured and unstructured customer data using advanced analytical solutions
    • Use and fit different mathematical and econometric models, develop descriptive and predictive models that deliver better decisions
    • Turn analyzed data into actionable insights and business value
    • Create high-quality data visualizations
    • Communicate effectively with different departments and roles (product managers, engineers) to discuss complex data-driven findings and technical matters
    • Educate and train others on Data Science related matters
    • Estimate, plan and coordinate the delivery of moderate sized projects
    • Evaluate and select Data Science tools and libraries

Requirements

  • 3+ years of experience in data mining, statistics or machine learning
  • RDBMS/SQL knowledge
  • Programming experience (Python preferred)
  • Data analysis tools and libraries such as Python (NumPy / SciPy / scikit-learn / pandas / matplotlib), R, SAS, SPSS, MATLAB, etc
  • Big Data stack; Spark / MLlib
  • Proficiency with at least one of the Cloud providers
  • Experience with Data Science solutions productionalization
  • Bachelor’s/Master’s Degree in Computer Science, Math, Applied Statistics or a related field
  • Aptitude for problem solving
  • Decent communication / presentation skills (including working English fluency)

We offer

  • Competitive compensation depending on experience and skills
  • Work in enterprise-level projects long-term
  • Full-time remote work (you can work from anywhere you are)
  • Unlimited access to learning courses (LinkedIn learning, EPAM training courses, English regular classes, Internal Library)
  • Community of 30,100+ industry’s top professionals

Equal Employment Opportunity

EPAM Systems, Inc. is an equal opportunity employer.  We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.

Pay Transparency Non-Discrimination Provision

EPAM will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Affirmative Action Obligations as a U.S. Government Federal Contractor

As a U.S. federal government contractor, EPAM is committed to meet its affirmative action obligations to make good faith efforts to expand the recruiting pool of women, minorities, individuals with disabilities, and protected veterans through outreach, targeted recruitment, training opportunities and other activities. We affirm this commitment annually in EPAM’s Affirmative Action Plans. The full text of our Affirmative Action Plan for Persons with a Disability and Protected Veterans is available for inspection in the People Operations Department during normal business hours. Email the People Operations Department to schedule an appointment.

Accessibility for Applicants with Disabilities

EPAM is committed to working with and providing reasonable accommodation to individuals with disabilities. If you require an accommodation at any stage of the employment application process, please send an email to the People Operations Department including your name, a detailed description of your requested accommodation, and the best method to contact you. If you have already reviewed a job posting or submitted an application for a job, please include the requisition number. We will assist you and make a determination on your accommodation request on a case-by-case basis.

EEO is the Law. Applicants to and employees of EPAM Systems Inc., are protected under Federal law from discrimination.

EPAM Systems, Inc. participates in eVerify.

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