Data Science Manager

Lafarge Africa Plc; Indiana (PA); Remote; USD 90,000 - 160,000; Full time

Job summary

An established industry player is seeking a talented Data Science Manager to join their Global Advanced Analytics team. In this exciting role, you will leverage advanced machine learning and deep learning techniques to drive insights and decision-making across the organization. With a focus on creating innovative AI solutions and collaborating with diverse teams, you will play a crucial role in shaping the future of logistics performance. If you are passionate about data science and eager to make a significant impact in a dynamic environment, this opportunity is perfect for you.

Qualifications

• 12-15 years of total experience with at least 8 years in relevant analytics.
• Hands-on experience in advanced ML & DL techniques and algorithms.

Responsibilities

• Create analytical models to identify patterns and predict business outcomes.
• Collaborate with teams to industrialize AI/ML models and prototypes.

Skills

Machine Learning

Deep Learning

Python

AWS

Statistical Techniques

Data Science

Gen AI Solutions

Collaboration

Communication

Education

B.Tech in Computer Science

M.Tech in Mathematics

Tools

TensorFlow

Keras

PyTorch

Qlikview

PySpark

Job description

Requisition ID: 10660

ABOUT HOLCIM

As the world’s global leader in innovative and sustainable building materials, Holcim is reinventing the way the world builds. Supported by a 60,000-strong global team spread across 70 markets and four industry segments, we are committed to shaping a greener, smarter and healthier world. We at Holcim believe that logistics performance is managed best locally at the country level and supported by corporate logistics. We envision to create a digitized supply chain managing the group’s logistics performance in real-time and it is our aim to establish a true cost to serve model with decisions based on data to support reducing cost and business growth by improving customer service and achieving zero harm.

Experience: 8+ Years

Job Location: WFH/Remote

Education: B.Tech / M.Tech in Computer Science / Mathematics / Signal Processing or related fields from one of the premier Institutes (IITs/NITs/BITS)

The Manager- Data Science will be part of the Group’s Global Advanced Analytics CoE and will play a key role in enabling our Businesses for Insights Driven Operations and Decision making – leveraging cutting edge Analytics tools and techniques.

Data Scientist (Individual Contributor initially, with potential to move into a People Management role with strong performance)

Job Responsibilities:

• Work with Business / Domain SMEs, understand pain and opportunity areas and create analytical models to identify patterns and predict outcomes of key business processes.
• Identify the appropriate modeling technique(s) and use Machine Learning and Deep Learning Algorithms to develop self-correcting models and algorithms, validate results from the business perspective and identify levers to improve outcomes.
• Collaborate with Product Development teams to industrialize AI / ML models and conduct rapid and iterative prototyping of minimum viable solutions.
• Test hypothesis on raw datasets and build meaningful and conclusive insights to identify new opportunity areas.
• Work on all aspects of data including data acquisition, data exploration, feature engineering, building and optimizing models etc.
• Develop and deploy Gen AI Solutions.
• Design full stack ML solutions in a distributed computing environment - AWS (preferred) and GCP. If needed develop ML solutions to be deployed on the edge (like actuators in plants) or mobiles.

Experience Required:

• Total experience of 12-15 years (relevant Analytics experience at least ~ 8 years) Industry Experience and knowledge especially in Manufacturing/ Operations Functions in a Building Material Industry, Manufacturing, Process or Pharma preferred.
• Hands-on experience in statistical and data science techniques.
• Knowledge and experience in developing and deploying Gen AI Solutions.

Required Skills:

• 8+ years of hands-on experience in advanced Machine Learning & Deep Learning techniques and algorithms such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, Transformers, etc.
• 6+ years of experience in statistical computer languages (Python, PySpark etc.) to manipulate data and draw insights from large data sets.
• 5+ years of experience in Cloud platforms like AWS with specific experience of leveraging AWS services and deploying AI / ML models on these platforms.
• Experience in DL frameworks such as TensorFlow, Keras or PyTorch.
• Familiarity with business intelligence tools (e.g. Qlikview) and data frameworks will be an added advantage.
• Lead by example on values and culture.
• Open-minded, collaborative and an effective team player.
• Ability to work in a multicultural and diverse team.
• Driven for success and aspiring to a culture of service excellence, always putting the customer, our people and our business at the center of everything he/she does.
• Ability to deal with ambiguity.
• Ability to communicate openly and effectively with many diverse stakeholders, with external vendors and auditors, and with staff.
• Ability to work proactively and under pressure considering the criticality required to ensure the right quality of service for the business.

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