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Job Description
Training Specialist, Sr.
Department: Education
Employment Type: Full Time
Location: Hyderabad
Description
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.
A Typical Day in the Life Includes:
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, Biguery) and data lakes (HDFS, S3).
* Create interactive dashboards and reports with Power BI, Tableau, Looker, likSense 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.
* 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, Biguery) and data lakes (HDFS, S3).
* Create interactive dashboards and reports with Power BI, Tableau, Looker, likSense 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.
Basic Qualifications:
* 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, SL (MySL, SL Server, PostgreSL).
- ML/DL frameworks: TensorFlow, PyTorch, scikit-learn, Keras.
- Big data tools: Spark, Hadoop ecosystem (Hive, HDFS, Presto).
- Data warehouses/lakes: Snowflake, Redshift, Biguery, AWS S3.
- BI/Visualization: Power BI, Tableau, Looker, likSense, 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.
* 8+ years of experience in data science, analytics, or BI within IT or related industries.
* Expert proficiency in:
- Programming: Python, R, SL (MySL, SL Server, PostgreSL).
- ML/DL frameworks: TensorFlow, PyTorch, scikit-learn, Keras.
- Big data tools: Spark, Hadoop ecosystem (Hive, HDFS, Presto).
- Data warehouses/lakes: Snowflake, Redshift, Biguery, AWS S3.
- BI/Visualization: Power BI, Tableau, Looker, likSense, 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.
Preferred Qualifications:
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
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