Overview:
Job Title :Data Scientist
Location : Bangalore
Shift : UK Shift (2 PM - 11 PM)
At Aptean, our mission is to solve tomorrow’s unique challenges today with unrivaled, purpose-built software and superior customer experiences from people who care. Aptean is a global provider of mission-critical, industry-specific software solutions. Aptean’ s purpose-built ERP and supply chain management solutions help address the unique challenges facing process and discrete manufacturers, distributors and other focused organizations. Aptean’ s compliance solutions are built for companies serving specific markets such as finance, healthcare, biotech and pharmaceuticals, over 10,000 highly specialized organizations in more than 20 industries and 80 countries rely on Aptean to streamline their everyday operations.
About the Role
This role spearheads research, prototype and development of state-of-the-art AI, ML or Big Data Components to successfully deliver high-quality innovative products and solutions to our clients.
About you
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Work in concert with Software Engineering Leaders to oversee all tactical aspects of the product lifecycle, including test planning & execution, issue management & escalations.
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Research technologies, methodologies, and approaches to find innovative solutions to solve the business problems of our clients.
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Research, prototype and develop solutions for complex and demanding supply chain problems.
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Collaborate with internal and external stakeholders for research discovery.
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Gather and process large and complex data sets.
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Apply advanced analytical methods using statistics, machine learning, optimization, and simulation knowledge.
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Program the theoretical approaches into practical prototypes.
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Build the pipelines that can easily be fed into technical design.
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Communicate ideas and findings with effective presentations to stakeholders through visual displays of quantitative information.
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Mentor more-junior team members to improve their technical and problem-solving skills.
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Provide effective, empathetic feedback to pull requests and in code reviews.
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Write and update helpful and accessible architecture and technical developer documentation.
Analyze client issues in conjunction with customer support and other teams
Required Preferred Degree/Certification
Bachelor’s degree
Master’s degree
Ph.D.
J.D. (law)
Certification:
Registration:
Licensure:
Other:
Work Experience
Minimum)
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5 years of experience in a data/applied science related role.
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Graduate degree in computer science, mathematics, or related field.
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Production experience in cloud-based AI or ML systems particularly in developing and deploying machine learning models.
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Proficiency in writing technical documentation in English.
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Experience performing pull request and code reviews and providing effective, helpful feedback to team members.
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Hands-on experience with Data science, Machine Learning and Statistical systems and Python packages such as pandas, scipy, scikit-learn, pytorch, dask, pyarrow, ray.
(Preferred)
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Ph.D. degree in computer science, mathematics, or related field
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10 years of experience in a data/applied science related role.
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Experience writing unit tests as part of development cycle and using code coverage tools
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Knowledge of containerization technologies, including Docker and Kubernetes
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Familiarity with database, performance, profiling, and tuning tools
Experience with bug and feature tracking and source control systems; Jira, Confluence, and Git
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What’s in it for you?
Aptean offers competitive pay and robust benefit plans along with the opportunity to
grow your career in a fast-paced, flexible and casual environment, an outstanding
opportunity for career development and growth.
About Aptean
“At Aptean, our global and diverse employee base is our greatest asset. It is through
embracing and understanding our differences that we are able to harness our individual
power to maximize the success of our customers, our employees and our company.” –
TVN Reddy
Aptean pledges to promote a company culture where diversity, equity and inclusion are
central. We are committed to applying this principle as we interact with our customers,
build our teams, cultivate our leaders and shape a company in which any employee can
succeed, regardless of race, color, sex, national origin, sexuality and gender identity,
religion, disability or age. Celebrating our diverse experiences, opinions and beliefs
allows us to embrace what makes us unique and to use this as an asset in bringing
innovative solutions to our customer base.
