Data Scientist Experienced Hire
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SenioritySenior
Experience5+ yrs
Company size10,000+ people
PostedMar 11, 2025 · 1y ago
Verified live1w ago
At a glanceSummarised by Seekless from the posting.
Drive sales and solutioning of data science/analytics engagements
Manage and/or supervise project delivery
Mentor teams, build new capabilities, support/contribute to thought leadership and building new skills
Work seamlessly with Client teams in positioning data science/analytical capabilities and with help of them drive deliver data science/analytics engagement
Manage the challenges of using statistics in a business setting, such as incomplete data, biased data, large data sets, low signal-to-noise ratios, high variance, and multiple objective functions
Requires being creative and resourceful and will utilize traditional statistical methodologies as well as newer techniques from computational statistics and data mining and big data capabilities
Have a minimum of bachelor’s degree in a relevant field like statistics, computer science or applied math, physics or relevant subjects or 3+ years of experience in computer science, applied mathematics, or other quantitative/computational discipline
Strong background in statistical concepts and calculations
5+ years of experience with real data
Innovative and strong analytical and algorithmic problem solvers
5+ years of experience with scripting languages (e.g., Python, Ruby, Perl, Bash) for orchestration and data manipulation
5+ years of experience with statistical computing tools like R, SAS, and SPSS
Data engineering experience, including SQL and experience manipulating structured and unstructured data sources for analysis
Experience in one or more statistical software packages such as R, SAS, SPSS, etc
Experience in one or more programming languages such as Python, R, etc
Experience in one or more machine learning solutions such as TensorFlow, IBM Watson, etc
Experience in one or more tools for visualization such as Tableau, Qlik, D3, etc
Experience in database management systems such as MongoDB, PostgreSQL, and MySQL
Good understanding of machine learning techniques such as Neural Networks, Random Forest, etc
Proven success in contributing to a team-oriented environment
Proven ability to work creatively and analytically in a problem-solving environment
Excellent leadership, communication (written and oral) and interpersonal skills
Ability to meet travel requirements, when applicable
Skills
Python
Ruby
Perl
Bash
R
SAS
SPSS
SQL
TensorFlow
IBM Watson
Tableau
Qlik
D3
MongoDB
PostgreSQL
MySQL
Responsibilities
•
Drive sales and solutioning of data science/analytics engagements
•
Manage and/or supervise project delivery
•
Mentor teams, build new capabilities, support/contribute to thought leadership and building new skills.
•
Work seamlessly with Client teams in positioning data science/analytical capabilities and with help of them drive deliver data science/analytics engagement.
•
Manage the challenges of using statistics in a business setting, such as incomplete data, biased data, large data sets, low signal-to-noise ratios, high variance, and multiple objective functions
•
Requires being creative and resourceful and will utilize traditional statistical methodologies as well as newer techniques from computational statistics and data mining and big data capabilities.
Requirements
•
Have a minimum of bachelor’s degree in a relevant field like statistics, computer science or applied math, physics or relevant subjects or 3+ years of experience in computer science, applied mathematics, or other quantitative/computational discipline.
•
Strong background in statistical concepts and calculations
•
5+ years of experience with real data
•
Innovative and strong analytical and algorithmic problem solvers
•
5+ years of experience with scripting languages (e.g., Python, Ruby, Perl, Bash) for orchestration and data manipulation
•
5+ years of experience with statistical computing tools like R, SAS, and SPSS
•
Data engineering experience, including SQL and experience manipulating structured and unstructured data sources for analysis.
•
Experience in one or more statistical software packages such as R, SAS, SPSS, etc.
•
Experience in one or more programming languages such as Python, R, etc.
•
Experience in one or more machine learning solutions such as TensorFlow, IBM Watson, etc.
•
Experience in one or more tools for visualization such as Tableau, Qlik, D3, etc.
•
Experience in database management systems such as MongoDB, PostgreSQL, and MySQL
•
Good understanding of machine learning techniques such as Neural Networks, Random Forest, etc.
•
Ability to meet travel requirements, when applicable
•
Proven success in contributing to a team-oriented environment
•
Proven ability to work creatively and analytically in a problem-solving environment
•
Excellent leadership, communication (written and oral) and interpersonal skills
About Accenture
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.
Visit us at www.accenture.com
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