Data Science Lead (ML)

Tredence Inc.; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

A leading management consulting firm is seeking a Data Science Lead to manage multiple consulting projects, ensuring timely and quality delivery. The ideal candidate will have 8-20 years of data science experience, thrive in a collaborative environment, and possess strong leadership skills. Key qualifications include expertise in ML models, programming in Python/R, and cloud computing knowledge. This is a full-time position with competitive compensation.

Qualifications

• 8-20 years of experience in data science, building hands-on ML models.
• Experience in the Retail industry preferred.
• Proficient in ML techniques such as Regression, Clustering, and Deep Learning.

Responsibilities

• Manage multiple consulting projects ensuring on-time and on-budget delivery.
• Lead a team of data scientists and collaborate across functions.
• Translate complex business problems into data science solutions.

Skills

Expert in Data Science

ML model building

Cloud computing services

Statistical Modelling

Team leadership

Education

Bachelor's/Master's/PhD in a quantitative field

Tools

Python

R

SQL

TensorFlow

Keras

PyTorch

Job description

Overview

Direct message the job poster from Tredence Inc.

Associate Manager @ Tredence | Ex - Axtria || Management Consulting | HR Consulting | Driving Organizational Excellence

JOB DESCRIPTION: As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base.

Responsibilities

• Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
• Work with teams of smart collaborators. Be responsible for their appraisals and career development.
• Participate and lead executive presentations with client leadership stakeholders.
• Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
• See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

The Ideal Candidate Will

• Serve as expert in Data Science, build framework to develop Production level DS/AI models.
• Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
• Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
• Lead and manage the onsite-offshore relation, at the same time adding value to the client.
• Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
• Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
• Present results, insights, and recommendations to senior management with an emphasis on the business impact.
• Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
• Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Eligibility Criteria

• Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
• 8-20 years of experience in data science, building hands-on ML models
• Experience in Retail industry preferred.
• Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
• Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA, Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
• Knowledge of programming languages SQL, Python/ R, Spark.
• Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
• Experience with cloud computing services (AWS, GCP or Azure)
• Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
• Knowledge in GPU code optimization, Spark MLlib Optimization.
• Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
• Experience with ML CI/CD pipelines.
• Knowledge and exposure to Gen AI.

About You

• You are self-motivated, collaborative, eager to learn, and hands on
• You love trying out new apps, and find yourself coming up with ideas to improve them
• You stay ahead with all the latest trends and technologies
• You are particular about following industry best practices and have high standards regarding quality.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Consulting

Industries

• Business Consulting and Services

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