Job Description

Duration- Full Time/Perm

Description:

What you'll do...

Job Summary:

• Chance to work on financial data forecasting for complex retail problems/challenges.
• Utilize deep learning methods and architectures to build and deploy state-of-the-art forecasting systems.
• Will also be working on causal inference problems for scenario-based adjustment.

About the Team:

• Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions.
• We specialize in a range of initiatives, including advanced time series forecasting, which provides actionable insights into trends and patterns, and leveraging Generative AI (GenAI) to produce concise, insightful summaries that empower decision-makers.
• By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations.

What you'll do:

• Lead high-caliber team to build large-scale time series forecasting systems
• Integrate Global forecasting models (e.g., Temporal Fusion Transformers, Nbeats) to enhance forecasting precision and generate synthetic time series data for better model training.
• Develop data science systems and tools for retail ; e-commerce applications:
• Leverage LLMS to summarize and build large scale chat applications
• Train large scale neural networks and deploy them as a automated batch pipelines using airflow.
• Deploy large scale forecasting pipelines modeling thousands of time series using batch pipelines
• Establish cross-functional relationships to maintain win-win situation for the corporation
• Collaborate with various product stake holders and business owners to formulate and productionize a solution.

What you'll bring:

• Masters degree or PHD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years experience in an analytics related field.

Must have qualifications...

• Have deep understanding on neural networks, attention architecture and other DL and ML concepts.
• Familiar with statistical models, such as linear models, generalized linear models, experiment design, and testing.
• Have experience working with optimization problems.
• Proven records of solving business problems using deep learning and machine learning methods.
• Familiar with some of the DL packages such as Pytorch, Keras, Tensorflow Strong software development skills in languages such as Python, SQL, R, Scala, Java Have experience in involving in deployment and production process.
• Have experience working with cross-functional teams, such as engineering and product teams.

Great to have...

• Experience with Big Data processing and feature engineering using Spark Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure Hands on experience of designing and training large DL models on GPU farm Causal inference expertise and experiences Knowledge on LLM is a plus Behavior qualifications...
• Problem solver with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures Ability to clearly define problems, models and constraints from informal and flexible business requirements Tech leadership with teamwork spirit, quick adaptation to new environment Form collaborative working environment.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1 : Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.

Option 3: 7 years' experience in an analytics or related field

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.

The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Client’s accessibility standards and guidelines for supporting an inclusive culture.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit .

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Ensures effective and efficient operations through conducting operations analyses (i.e. operational effectiveness and capacity utilization), and recommends improvements.

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