SENIOR ANALYST (DATA SCIENTIST)
at Business Intelligence & Digital Consulting company
Python
Data Science
Machine Learning (ML)
Data Analytics
ScalaDescription
JOB DESCRIPTION – SENIOR ANALYST – DATA SCIENTIST
Key Responsibilities ·
Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions·
Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala)·
Solid understanding of time-series forecasting techniques·
Good hands-on skills in both feature engineering and hyperparameter optimization·
Able to write clean and tested code that can be maintained by other software engineers·
Able to clearly summarize and communicate data analysis assumptions and results·
Able to craft effective data pipelines to transform your analyses from offline to production systems·
Self-motivated and a proactive problem solver who can work independently and in teams·
Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions·
Is collaborative and engages (strategic & tactical. Able to influence without authority, handle complex issues and implement positive change·
Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science·
Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment ·
Provide guidance and leadership to more junior data scientists, managing processes and flow of work, vetting designs, and mentoring team members to realize their full potential·
Lead discussions at peer review and use interpersonal skills to positively influence decision making·
Provide subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices·
Facilitate cross-geography sharing of new ideas, learnings, and best-practices
What We Are Looking For
Required Qualifications ·
Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field. ·
4 – 6 years of total work experience as data scientist or analytical role, with at least 2-3 years of experience in time series forecasting·
A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project ·
Strong experience in Time Series Forecasting and Demand Planning ·
Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) ·
Good hands-on skills in both feature engineering and hyperparameter optimization ·
Experience producing high-quality code, tests, documentation·
Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies·
Proficiency in statistical concepts and ML algorithms·
Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team·
Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results·
Self-motivated and a proactive problem solver who can work independently and in teams·
Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams
Desired Qualifications ·
Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred ·
Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred ·
Experience in creating CI/CD pipelines for deployment using Jenkins. ·
Experience implementing MLOPs framework along with understanding of data security·
Implementation on ML models·
Exposure to visualization packages and Azure tech stack.
Must have skills
Python - 2 years
Data Science - 4 years
SQL - 2 years
Machine Learning - 2 years
Nice to have skills
Data Analysis - 4 years
Time Series Forecasting - 2 years
Demand Planning - 2 years
Hadoop - 2 years
Statistical concepts - 2 years
Supply chain functions - 2 years
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