Summary
Date Posted: Monday, January 31, 2022 , Base Salary: Not Disclosed

JOB DETAILS:
Senior Data Scientist
Requirements
BS/MS in Computer Science, Statistics, Applied Mathematics or other quantitative field.
• 6+ years of experience withData Science, Quantitative Analysis, Machine Learning, deep learning and/or related fields – working with Distributed or Highly Complex Datasets.
• Superb coding skills in one of the following languages: C++, C#, R, Java, Python, Scala in addition to Hadoop experience (MapReduce, Hive, Spark SQL), Databricks and SQL.
• Good knowledge of Data Structures/Algorithms.
• 6+ years hands-on experience with Big Datasets (i.e. data extraction, cleaning, modelling, analysis, interpretation, presentation) including recommending actions, and reporting results across stakeholders.
• 4+ years experience in applying statistical techniques in a business and/or marketing context using R, Python (with packages such as pandas, statsmodels, scikit-learn, tidyverse (dplyr, ggplot2, etc.)), SAS, SPSS, MATLAB. Work comfortably with large sets of data using groundbreaking tools.
• 6+ years of experience with statistics methods, predictive modeling and algorithms for forecasting, time series, hypothesis testing, classification, clustering or regression analysis and anomaly detection.
• 6+ years of experience of working with visualization tools such asTableau, Power BI, Excel or similar.
• Excellent knowledge of best practices in data analysis and data science.
• Exceptional talent in articulating your work and presenting your ideas (Excellent/Advanced written, oral, presentation & compelling storytelling skills) to influence all organizational levels (engineers, executives and cross functional teams) and drive business decisions.
• Excellent interpersonal skills. Ability to convince other strong personalities of your ideas and communicate complex analysis & insights to a non-technical audience.

Other Requirements
Experience working with geospatial & time series data, algorithms and innovative libraries, statistical knowledge of rare events.
• Motivated self-starter able to identify and prioritize areas of focus with little direction.
• Excellent Planning & Organization skills with ability to balance competing priorities, long-term projects, and ad hoc requirements.
• Excellent innovative thinking and problem-solving skills.
• Experience answering big picture questions by framing the question, turning it into an analytical plan, executing and communicating to stakeholders.
• 2+ years’ experience leading teams of other data scientists a plus.
• A desire to mentor others and stay current with advances in the industry.
• Ability to thrive in "startup" environment, deal with ambiguity and drive clarity.
• Have curiosity and apply analytical skills to dive deep into data to find key insights that impact the business.
• Experience developing Data Systems data factories, data pipelines, deployed machine learning model a plus.

Responsibilities
Identify how data science can be applied to improve, optimize, and expand the organization across a variety of domains, with emphasis on long-term and strategic initiatives.
• Build pragmatic, scalable, and statistically rigorous solutions to our customers’ and internal team challenges by leveraging or developing statistical and machine learning methodologies.
• Take advantage of massive amounts of structured data to understand how our internal & external customers interact with our product and service offerings.
• Proactively identify opportunities to improve our products and customers’ experience on our apps, platforms and services.
• Analyze real-time and historical data to determine opportunities to accelerate business growth; improve our operations; and make operations as efficient as possible.
• Work cross functionally to translate business problems into ones that can be solved and informed by data analysis.
• Collaborate with cross-functional data and business teams to define problem statements, access and manipulate data, build analytical models, explain data-gathering requirements, deliver analytics insights, and make recommendations.
• Identify gaps in the operational processes, build analytical models for finding insights and supporting decision making across our organizations management and leadership.
• Design & implement statistical models such asHypothesis testing, Forecasting, statistical process control and simulation to evaluate critical business decisions and influence our Business Plans & Operations.
• Effectively communicate insights and recommendations to business leads and influence strategic decision-making.
• Lead and support various ad hoc projects, as needed, in support of Business Strategy.
• Build, Lead and Manage a Data, AI & Analytics Team and hire appropriate members to this team – as and when required.
• Drive execution through fast iteration.

Culture
We are looking for someone who aims high, doesn’t play it safe and is willing to push boundaries. We love innovative, creative problem-solvers who are not afraid to try new things and fail.

The role if for you if you:
• Want to be on a world-class technology team were user-needs, design, user experience, world-class engineering, world-class end-user support and ‘getting things done fast and efficiently’ are all represented, prioritized and defended.
• Want to work on a team where the best ideas win regardless of source.
• Want to work on a team where trust, sharing and healthy debate is the norm.
• Want to be on a team that works closely, collaboratively, and cooperatively with one another to achieve our common goals.
• Want to work on a team that develops effective processes that ensure success.

Work Hours: 8

Experience in Months: 84

Level of Education: Bachelor Degree

Job application procedure
Please send your CV and LinkedIn Profile to talent@goodinfo.consulting  with a bold title, e.g Technology Operations With this email, indicate your:

• Current salary

• Expected salary DISCLAIMER: Communication will be with short-listed candidates only - if you do not receive any feedback on your application within 3 weeks, please consider your application unsuccessful. GOODINFO reserves the right not to proceed with an appointment of any advertised role. All appointments will be made in line with GOODINFO’S Employment Equity Plan and Policies.

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