یہ کمپنی اب اس نوکری کیلیۓ مزید سی ویزنہیں لے رہی۔

Data Scientist

Dengage

درخواست بھیجیں

Who are we?

Dengageis a marketing and messaging software provider whose solutions enable brands to automate digital customer engagement to improve customer experience and reduce operating costs.
Dengage’s customer-driven marketing platform implements a data-driven approach to designing, automating, and optimizing personalized customer engagement across channels and devices.
Dengageis used by customer-centric brands across a wide range of industries.
Dengageis entering a phase of exponential growth and is now moving into the Pakistan market.
Dengage was founded and is led by MarTech SaaS veterans who have decades of experience growing multiple SaaS companies from the ground up.
These companies have now been acquired by multi-billion-dollar organizations. dEngage is our latest venture.
We have an exciting opening for a Data Scientist role at D-Engage.
The successful candidate will possess a diverse range of data-focused skills and experience, both technical and analytical.
They will have a strong desire and capability for problem-solving, data analysis and troubleshooting, analytical thinking with a focus on Artificial Intelligence/Machine Learning to help build solutions for our customers that enable them to extract value from their data.

Must have qualifications:

Bachelor’s Degree or Master's degree in Statistics, Computer Science, Mathematics or other quantitative disciplines required
3+ years of experience leveraging predictive modeling, big data analytics, exploratory data analysis, and machine learning to drive significant business impact
Being able to apply basic statistical/ML concepts and reasoning to address and solve business problems such as targeting, test design, KPI projection, and performance measurement.
Experience with statistical computer languages (Python, R, etc.) to manipulate and analyze large datasets preferred
Experience with databases, query languages, and associated data architecture.

Preferred qualifications:

Well organized, excellent time management skills
Highly effective communication skills between functions across the business
Experience with statistical computer languages (Python, R, etc.) to manipulate and analyze large datasets preferred
Applied statistical skills including statistical testing, regression, etc.
Experience with databases, query languages, and associated data architecture
Experience with distributed computing tools (Hive, Spark, etc.) is a plus
Strong analytical skills and ability to meet project deadlines.

Responsibilities:

Support all clients model building needs, including maintaining and improving current modeling/scoring methodology and processes
Provide innovative solutions to customized modeling/scoring (Propensity & RFM) /targeting with appropriate ML/statistical tools
Provide analytical/statistical support such as marketing test design, projection, campaign measurement, market insights to clients and stakeholders
Cleanse, consolidate, and verify the integrity of data used in analyses
Build and validate predictive models to increase customer retention, revenue generation, and other business outcomes
Mine large consumer datasets in the cloud environment to support ad hoc business and statistical analysis
Visualize data, especially in reports and dashboards, to communicate analysis results to stakeholders
Extend data collection to unstructured data within the company and external sources