How to Become a Data Science Director
Step 1: Understand the job description and responsibilities of a Data Science Director
What does a Data Science Director do?
A Data Science Director establishes, plans, and administers the overall policies and goals of the data science function. Provides strategic guidance and overall direction for analytical efforts. Being a Data Science Director determines the appropriate tools, techniques, staffing and methodologies to extract data that produces meaningful results. Uses extensive knowledge and research into big data tools to guide the integration of new and existing tools into the organization's data science tech stack. Additionally, Data Science Director typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to top management. The Data Science Director manages a departmental sub-function within a broader departmental function. Creates functional strategies and specific objectives for the sub-function and develops budgets/policies/procedures to support the functional infrastructure. To be a Data Science Director typically requires 5+ years of managerial experience. Deep knowledge of the managed sub-function and solid knowledge of the overall departmental function.
Requires MA/MS in Statistics, Computer Science, Mathematics, Data Science, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines.
As students work through online lessons, Knewton analyzes vast amounts of anonymized data to figure out what a student knows and how they learn best.
As a student progresses through a digital course (for example, whenever a student watches a video, reads a lesson, answers a practice problem, or takes a quiz), anonymized data on what they know and the effectiveness of the content are analyzed in aggregate with millions of other anonymized students.
Not only does data help retailers determine everything from traffic patterns to inventory movement and consumer activity in the store and online, it plays a pivotal role in marketing, operations and pretty much any strategic move a retailer takes.
The bad news is that much of that data are not being optimized, and the use of mobile devices within the retail scenario is piling on more data.
Step 2: Learn best tips to become a Data Science Director
Best tips for those who want to become a Data Science Director
Here are some tips to become a Data Science Director.
Focus on practical applications and not just theory.
Spend more time on finding out the right evaluation metric and how much is required for implementation.
Follow the diverge-converge thinking process to avoid pre-mature convergence.
Identify Potential Pitfalls and Remedies.
Develop Organizational Strategy.
Step 3: View best colleges and universities for Data Science Director
Best colleges and universities for Data Science Director
- Butler University
- Carroll College
- Cooper Union
- High Point University
- Princeton University
- Providence College
Step 4: Think about whether is it worth to be a Data Science Director
Is being a Data Science Director Worth it?
in computer science, engineering, statistics, applied mathematics, computational linguistics, or other quantitative field Excellent understanding of machine learning techniques and algorithms, such as k-NN, Ne….
BS/MS/PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
Experience building distributed, scalable systems, modern data storage, messaging, processing and ML pipelines frameworks (Kafka, Spark, Hadoop, Cassandra, etc.).
Creative thinking and a keen interest in brainstorming ideas for the next generation of data products.
Work closely with the Central Data Science team and TA/Function Data Science teams to execute on critical data science initiatives to support delivery of the short and long-term Janssen R&D Data Science strategy.
Step 5: Prepare relevant skills for being a Data Science Director
What skills do you need to be a Data Science Director?
Due to the management level associted with this job, many skills are required to being successful and ensuring the success of your team. It is necessary to be able to excel with: Big Data, Big Data Analytics, Business Intelligence, Clustering, Data Architecture, Data Cleansing, Data Management, Data Mining, Data Modeling, Data Science, Data Visualization, ETL (Extract, Transform, Load), Predictive Analytics and Modeling, Regression Analysis. For management positions, some skills may come as a no brainer, for this role those would be: Big Data Software, Database Software. As you can tell, it is no easy feat to be a manager, and the skills required reflect that.
10+ years of experience with database tools (MS Access, Excel PivotTables, MS SQL Server, Oracle) and various data models, plus a good knowledge of various operating systems.
They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
They must have a proven ability to drive business results with their data based insights.
Minimum of 7 years of experience of relevant experience in data, analytics, and statisticsBusiness Skills.
Understanding of algorithms and ability to optimize various program complexities using suitable data structures.
Step 6: View average salary for Data Science Director
How much does a Data Science Director make?
The average salary range for a Data Science Director is from $189,362 to $223,610. The salary will change depending on your location, job level, experience, education, and skills.
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Average salary for Data Science Director jobs
Step 7: Find relevant Data Science Director jobs, and apply.
Looking for Data Science Director jobs?
Here are some Data Science Director jobs in the United States.