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Training Specialist, Sr(Data Scientist)

Infor -
Hyderabad, Telangana

Apply Now

Job details

Full-time

Qualifications

TensorFlow
CI/CD
Statistics
Cognos
Power BI
Data modeling
Azure
HDFS
Computer Science
Kubernetes
XML
Big data
Spark
R
Git
Apache Hive
Tableau
Master's degree
Bash (Unix shell)
AWS
Docker
Bachelor's degree
Machine learning
JavaScript
Distributed systems
Continuous integration
REST
Natural language processing
SharePoint
APIs
S3
JSON
Apache
Data science
Keras
Redshift
AI
Jenkins
GitLab
Python
PowerShell
Data Science
Analytics
Hadoop

Full job description

General information

Country

India

State

Telangana

City

Hyderabad

Job ID

48434

Department

Education

Experience Level

MID_SENIOR_LEVEL

Employment Status

FULL_TIME

Workplace Type

Remote

Description & Requirements

Data Scientist

Infor’s Global Enablement C Education organization is seeking an experienced and dynamic Senior Learning Data Scientist. You will lead AI-driven analytics, predictive modeling, and data-automation initiatives that deliver actionable insights for training, certification, and credentialing programs. Your role will blend deep technical expertise, strategic vision, data storytelling, and leadership to influence business decisions and drive our Learning C Education analytics roadmap.

Position Summary

As a Senior Learning Data Scientist, you will:

Architect, develop, and maintain advanced analytics solutions, dashboards, and predictive models.

Drive AI and machine-learning projects end-to-end, from data ingestion through deployment.

Lead cross-functional collaboration to gather requirements, define KPIs, and translate business needs into data solutions.

Mentor and guide junior data scientists and analysts, fostering best practices in coding, modeling, and visualization.

Champion data-driven decision making and influence stakeholders at all levels.

Key Responsibilities

Partner with Enablement C Education stakeholders to define analytics strategy, data instrumentation, and reporting requirements.

Lead strategic data science projects: design experiments, prototypes, and production- grade ML/AI models.

Build and deploy predictive models, propensity analyses, recommendation engines, and NLP solutions using Python, R, TensorFlow, PyTorch, scikit-learn, and/or Keras.

Develop ETL/data pipelines on platforms like Apache Spark, Databricks, Airflow, or AWS Glue; manage data ingestion from LMS, CRM, SFDC, SharePoint, and internal APIs.

Design and implement data models and star schemas in data warehouses (Snowflake, Redshift, BigǪuery) and data lakes (HDFS, S3).

Create interactive dashboards and reports with Power BI, Tableau, Looker, ǪlikSense or Domo; embed analytics into web applications via JavaScript and RESTful APIs.

Automate analytics workflows and ML pipelines with tools like MLflow, Kubeflow, Docker, CI/CD (Azure DevOps, Jenkins, GitLab).
Utilize big-data and distributed computing frameworks (Hadoop, Hive, Presto, Spark) for large-scale data processing.

Apply statistical analysis, A/B testing, and experimental design to validate model performance and business impact.

Oversee model monitoring, versioning, and retraining; ensure data quality, security, and compliance.

Convert legacy BI content (Business Objects, Cognos) into modern, user-friendly solutions.

Provide technical leadership and mentoring: review code, share best practices, and lead training sessions.

Communicate complex analyses and insights clearly and persuasively to executive leadership, partners, and non-technical stakeholders.

Experience G Technical Skills

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or related field.

8+ years of experience in data science, analytics, or BI within IT or related industries.

Expert proficiency in:

– Programming: Python, R, SǪL (MySǪL, SǪL Server, PostgreSǪL).

– ML/DL frameworks: TensorFlow, PyTorch, scikit-learn, Keras.

– Big data tools: Spark, Hadoop ecosystem (Hive, HDFS, Presto).

– Data warehouses/lakes: Snowflake, Redshift, BigǪuery, AWS S3.

– BI/Visualization: Power BI, Tableau, Looker, ǪlikSense, Domo.

– ETL/Orchestration: Apache Airflow, AWS Glue, Azure Data Factory.

– ML Ops: Docker, Kubernetes, MLflow, Kubeflow; CI/CD pipelines (Git, Azure DevOps, Jenkins).

– Scripting C Automation: Bash, PowerShell, RPA (UiPath, Automation Anywhere, Zapier).

– Cloud Platforms: AWS, Azure, GCP (compute, storage, ML services).

Experience with data modeling, star schemas, OLAP cubes (SSAS), and dimensional design.

Skilled in advanced statistics, hypothesis testing, segmentation, time-series forecasting, NLP, and recommendation systems.

Familiarity with file formats (JSON, XML, Parquet, Avro) and data serialization.

Understanding of data governance, privacy regulations (GDPR), and security best practices.

Soft Skills G Leadership Expectations

Exceptional communication: translate technical insights into clear business impact for diverse audiences.
Strategic thinker: define analytics vision and roadmap that align with organizational objectives.
Collaboration: build strong partnerships with product, engineering, marketing, and customer success teams.
Mentorship: coach and develop junior data scientists, analysts, and engineers.
Adaptability: thrive in a fast-paced environment, embrace ambiguity, and pivot strategies as needed.
Problem-solver: use creativity and curiosity to address complex business challenges.
Project leadership: plan, prioritize, and deliver multiple analytics initiatives on time and within budget.
Influence: act as a trusted advisor, driving data-informed decision making at the executive level.

Why Join Infor U Education?

Impact: enable millions of learners, partners, and customers with data-driven learning solutions.
Innovation: leverage cutting-edge AI/ML, big data, and cloud technologies.
Growth: opportunities for continuous learning, certifications, and career advancement.
Culture: collaborative, inclusive environment that values diversity and creativity.

Location: Bangalore / Hyderabad, India

Shift Timings : Work with night shifts (9 PM-6 AM)- Working Remote

About Infor

Infor is where ambition meets impact. Join a global community of bold thinkers and innovators, where your expertise doesn’t just solve problems. it shapes industries, unlocks opportunities, and creates real-world impact for billions of people. At Infor, you’re not just building a career. you’re helping to build what’s next.

Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.

For more information visit www.infor.com

Our Values

At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization.

We have a relentless commitment to a culture based on PBM™. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees.

Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section.

Fraud Awareness

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Fraud Privacy Policy

We value your privacy at Infor.

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