Data Science Engineer
Apply NowCompany: Expedite Technology Solutions
Location: Chicago, IL 60629
Description:
JOB DESCRIPTION
4 positions available for this role.
PURPOSE OF THE JOB
As a Data Science Engineer, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. Contribute as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.
Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.
MAIN TASKS AND RESPONSIBILITIES
Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.
Ensures that assigned area/areas are delivered within set deadlines and required quality objectives.
Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
Analyzes scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
Addresses area-level risks, provides and implements mitigation plan.
Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
Responsible for resolving crisis situations within his/her AOR.
Initiates and conducts code reviews, creates code standards, conventions and guidelines.
Suggests technical and functional improvements to add value to the product;
Constantly improves his/her professional level.
Collaborates with other teams.
REQUIRED EDUCATION AND EXPERIENCE
Must have:
A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
2+ years of experience in data analytics, consulting, or related role
Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau).
Experience in Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Nice to have:
Experience building large scale, real-time applications
Contributor to open-source projects.?
?MAIN TASKS AND RESPONSIBILITIES
Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.
Ensures that assigned area/areas are delivered within set deadlines and required quality objectives.
Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
Analyzes scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
Addresses area-level risks, provides and implements mitigation plan.
Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
Responsible for resolving crisis situations within his/her AOR.
Initiates and conducts code reviews, creates code standards, conventions and guidelines.
Suggests technical and functional improvements to add value to the product;
Constantly improves his/her professional level.
Collaborates with other teams.?
?Must have:
A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
2+ years of experience in data analytics, consulting, or related role
Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau).
Experience in Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.?
?Nice to have:
Experience building large scale, real-time applications
Contributor to open-source projects.?
Location: Brazil
Role: Data Science Engineer
4 positions available for this role.
PURPOSE OF THE JOB
As a Data Science Engineer, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. Contribute as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.
Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.
MAIN TASKS AND RESPONSIBILITIES
Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.
Ensures that assigned area/areas are delivered within set deadlines and required quality objectives.
Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
Analyzes scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
Addresses area-level risks, provides and implements mitigation plan.
Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
Responsible for resolving crisis situations within his/her AOR.
Initiates and conducts code reviews, creates code standards, conventions and guidelines.
Suggests technical and functional improvements to add value to the product;
Constantly improves his/her professional level.
Collaborates with other teams.
REQUIRED EDUCATION AND EXPERIENCE
Must have:
A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
2+ years of experience in data analytics, consulting, or related role
Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau).
Experience in Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Nice to have:
Experience building large scale, real-time applications
Contributor to open-source projects.?
?MAIN TASKS AND RESPONSIBILITIES
Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.
Ensures that assigned area/areas are delivered within set deadlines and required quality objectives.
Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
Analyzes scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
Addresses area-level risks, provides and implements mitigation plan.
Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
Responsible for resolving crisis situations within his/her AOR.
Initiates and conducts code reviews, creates code standards, conventions and guidelines.
Suggests technical and functional improvements to add value to the product;
Constantly improves his/her professional level.
Collaborates with other teams.?
?Must have:
A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
2+ years of experience in data analytics, consulting, or related role
Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau).
Experience in Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.?
?Nice to have:
Experience building large scale, real-time applications
Contributor to open-source projects.?
Location: Brazil
Role: Data Science Engineer