Lead Data Scientist
Charlotte, NC, United States
Applications have closed
Blend360
Blend360 co-creates value with leading companies through the integration of data, advanced analytics, technology & people. Get in touch with us today.Company Description
Blend360 is a Dynamic, marketing and analytic consulting company that provides marketing solution services to some of the world’s best known and most respected organizations. We are seeking a Data Science Manager to contribute to our next level of growth and expansion.
As Data Scientists, we work with business leaders to solve clients’ business challenges and improve clients’ marketing results. We contribute our Advanced Data Science subject matter expertise to the recommendations and solutions delivered to our clients.
Job Description
We spend the majority of our time on getting data into proper shape, performing statistical analyses, developing predictive models and machine learning algorithms to solve clients’ business problems. We evaluate different sources of data, discover patterns hidden within raw data, create insightful variables, and develop competing models with different machine learning algorithms. We validate and cross validate our recommendations to make sure our recommendations will perform well over time.
Main Responsibilities
- The role will also include significant consulting / client facing work comprised of:
- Working with practice leaders and clients to understand clients’ business problem, industry context, data sources, potential risk and constraints.
- Problem solve with practice leaders to translate the business program into a solvable Data Science problem, formulate different approaches, outline pros and cons for each approach
- Work with practice leaders to get client feedback, get alignment on approaches, deliverables, and overall timeline
- Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform
- Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings
- Create insightful and/or predictive summary variables from granular-level data
- Develop, validate, and cross-validate predictive models and/or machine learning algorithms using Advanced Data Science techniques and tools
- Document predictive models / machine learning results that can be incorporated into client-deliverable documentation
- Document key insights, recommend actions client could take, and quantify business impact
- Assist client to turn models and algorithms into implementable production codes
Qualifications
- Master's degree in Statistics, Math, Operation Research, Economics, Advanced Analytics, Computer Sciences, Engineering
- 3+ years of Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geo-spatial analytics, time series forecasting, optimization
- Experience with two or more Advanced Data Science software languages (R, Python, Matlab, Perl, Java, PHP)
- Experience with structured or un-structured data analysis and tools (SQL, Hadoop, Spark, NoSQL, MySQL, MariaDB, Hive, Pig, etc.)
- Comfortable with cloud-based platforms (AWS, Azure, Google)
- Experience with Google Analytics, Adobe Analytics, Optimizely a plus
- Experience in digital marketing a plus
Additional Information
A diverse workforce is a strong workforce
To deliver growth at BLEND360 and for our clients, we believe as a Talent Solutions Company, we have a responsibility and unique opportunity to positively impact the workforce. Diversity has played a critical role in our history, our growth, and continues to have a profound impact on our success. We are determined to have equality in the workplace, within our team and as an extension of our clients’ team.
This is not the work of the moment, and this requires continued learning and purposeful actions. We are investing resources to understand and improve the sourcing, selection and retention of the talent we hire, and ultimately the workforce we provide our clients. We will communicate our journey in the spirit of transparency and shared learning.
Tags: AWS Azure Consulting Data analysis Data Mining Economics EDA Engineering Hadoop Machine Learning MariaDB Mathematics Matlab MySQL NoSQL Perl PHP Predictive modeling Python R Research Spark SQL Statistics
Perks/benefits: Career development
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