Sr. Data Scientist - Remote

Global Business Ser 4u Inc.; United States; Remote; USD 144,000 - 169,000; Full time

Job summary

A leading company in IT Services seeks a Senior Data Scientist for a fully remote role. You will leverage machine learning and data analysis to deliver impactful solutions, collaborate with cross-functional teams, and guide business strategies. The position requires expertise in statistical modeling, data mining, and substantial experience with machine learning frameworks.

Qualifications

• 3-5 years of experience in machine learning and deep learning.
• Experience with major frameworks like TensorFlow, PyTorch.
• Strong analytical and problem-solving skills.

Responsibilities

• Drive delivery of data science solutions adhering to best practices.
• Collaborate across teams to implement innovative data science approaches.
• Lead machine learning projects to enhance business outcomes.

Skills

Machine Learning

Statistical Modeling

Data Mining

Optimization

Exploratory Data Analysis

Education

Master’s in a STEM degree

Ph.D. preferred

Job description

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Summary

The Enterprise Data Science organization drives value for Client by creating disruptive predictive and prescriptive solutions to the Enterprise for analytics and decision-making.

Position Title: Sr. Data Scientist

Location: 100% Remote

Duration:3+ Months

Summary

The Enterprise Data Science organization drives value for Client by creating disruptive predictive and prescriptive solutions to the Enterprise for analytics and decision-making.

The Sr. Data Scientist will be working with Client business partners, technical engineers, data architects, and project managers to ensure data science standards adhere to company best practice and help to deliver rapid impactful benefits.

The Sr. Data Scientist will act as a trusted advisor for client business partners to build new, data-driven, machine-intelligent capabilities that impact the business. You will work with large volumes of data, innovative technologies, and advanced methods to solve real business problems. You"ll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and the customer experience. You will work with a diverse team of business analysts, technical engineers, data architects, and project managers to deliver outcomes aligned with our business partner’s strategy. In addition, you will work directly with the Director of Data Science to ensure consistency and compliance of deliverables to frameworks and governance processes.

Applicants should have a strong background in machine learning, statistical modeling, feature discovery/selection, optimization, exploratory data analysis, data mining and pattern recognition.

Responsibilities

Data Science Solution Delivery:

Contribute to the agile delivery of business partner strategic roadmaps using best practice data science methods, frameworks, and governance processes

Data Science Domain

Collaborate with IT and business partners to define, manage and deliver innovative data science solutions to drive growth and adoption of capabilities at Client

Data Science Advocacy

Evangelize future data science solutions identified by Enterprise Data leadership, including innovations such as: machine learning, statistical modeling, feature discovery/selection, optimization, exploratory data analysis, data mining and pattern recognition

Lead and coordinate key cross-functional data science efforts to accelerate value creation for agile execution team outcome delivery through machine learning and other AI algorithms

As part of a team, use machine learning (ML), deep learning (DL) and other analytical techniques to create scalable solutions for business problems

Interact with business partners, technologists and engineers define and understand business problems, help, and aid them to implement ML/DL algorithms when appropriate

Using best practice guidance from the Enterprise Data team, oversee the health and evolution of agile execution team data science technologies

Able to articulate the holistic benefits of data science from a business perspective, while maintaining the relationship with business analysts, data architects, technical engineers, and project managers

Minimum knowledge, skills and abilities required to successfully perform major duties/responsibilities:

Working knowledge of agile frameworks

Ability to manage multiple priorities, meet deadlines and produce quality results under pressure

Demonstrated leadership and managerial skills

Strong problem solving and analytical skills

Strong team player, change agent, and advocate

Excellent customer service skills

High energy self-starter

Excellent verbal and written communication skills

Minimum Requirements

Master’s in a STEM degree required, Ph.D. preferred

Master’s In a STEM Degree Required, Ph.D. Preferred

3+-5+ years of professional experience with applying quantitative research in optimizing business decisions using technologies like machine learning and/or deep learning

3+ years – using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST)

3+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud)

3+ years programming skill in Python, R

Working knowledge with modern cloud-based data storage and compute environments (e.g., Snowflake, Databricks in Azure, AI-platform in GCP, etc.)

Experience deploying ML models into discovery/production environment to drive insights using MLOps a plus

Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners

Plus: experience with Agile delivery; experience with CPG and/or retail industries

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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