Data Scientist

A well-established company that has developed a unique job portal that caters to more than 220mn active global users, is looking for a Data Scientist. The selected candidate will be responsible for influencing, supporting, and executing product decisions and launches. The US-based company is building a job-related metasearch engine that aims to put job searchers first by providing them with free access to search for opportunities, upload resumes, and investigate businesses. They have managed to raise $4.8mn+ during their Series A round of funding. This role requires 4-5+ hours overlap with the CST time zone. 

Job Responsibilities:

• Assist in identifying business issues along with product and service enhancement possibilities
• Help to analyze data to make strategic/tactical suggestions
• Provide assistance for tasks like data cleansing, data wrangling, quantitative analysis, and data mining
• Analyze stats to judge customer responses to products and services
• Collaborate with cross-functional teams to address and resolve identified issues 
• Stay updated on the latest industry trends and opportunities
• Take part in cross-functional team meetings 
• Set product team goals, design, and evaluate experiments
• Oversee key product KPIs and analyze to find causes leading to changes in the KPIs
• Evaluate and create reports, dashboards, and KPI scorecards
• Develop user behavior models to analyze and drive manufacturing systems

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as a Data Scientist
• Well-versed in data mining, data models, segmentation techniques, and database design development
• Experience building structure, analyzing, and extracting data as per business requirements
• Prior experience with data querying languages like SQL and scripting languages like Python
• Extensive experience with statistical and mathematical software resources like R, SAS, and MATLAB
• Strong analytical skills with the capability of collecting, organizing, analyzing, and disseminating large amounts of data
• Must be able to prepare reports, inquiries, and presentations
• Excellent interpersonal and collaborative skills