Senior Data Scientist Who we are El Toro is the leader in accurate, measurable, and trusted IP Targeting technology. Our customers gain a competitive advantage from our advanced analytics and marketing technology, as we deliver empirical results that matter. Our technologies have been awarded 21 patents, and we continue to grow rapidly and shape the future of the industry. As innovators, driving customer acquisition and business intelligence for clients in a variety of verticals, we value diversity and inclusion as key to our growth, and we want to continue expanding with exceptional individuals at the helm. Are you ready to grab your career by the horns? Why you'll love working here <ul> <li>100% Company-paid medical plan in addition to competitive dental and vision plans</li> <li>100% Company-paid life insurance, short-term disability, and long-term disability</li> <li>401k plan with company contribution of 3%, once qualified</li> <li>15-20 PTO days per year</li> <li>10 paid company holidays</li> <li>Explosive growth allowing rapid career advancements</li> <li>On-site, remote, and hybrid work options</li> <li>On-Site gym & showers for all employees</li> <li>Discounted education opportunities</li> <li>Pet insurance that fits every pet and every pet parent</li> <li>Opportunity to participate in 40+ corporate wellness and cultural events per year</li> <li>Bring your dog to work!</li></ul> What you'll do <ul> <li>Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed</li> <li>Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations</li> <li>Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of El Toro data structures and metrics, advocating for changes where needed for product development</li> <li>Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information</li> <li>Research and develop analysis, forecasting, and optimization methods to improve the quality of El Toro's products</li></ul> What sets you apart <ul> <li>Master's degree in a quantitative discipline (Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience</li> <li>4 years of work experience in data analysis related field</li> <li>Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages (e.g., SQL)</li></ul> Don't meet every requirement? We encourage you to still apply if you believe you have additional skills that would make you successful in this role! Our culture El Toro's culture is defined by our E.P.I.I.C. values: Excellence, Persistence, Integrity, Innovation, and Continued Improvement. We work hard, play hard, and strive to create an environment where people can be themselves. We take pride in being fast and entrepreneurial, constantly asking how we can do things better than they have been done before. El Toro is an equal opportunity employer and is deeply committed to a culture of diversity, equity, and inclusion among its workforce and the broader community. We do not discriminate on the basis of actual or perceived race, ethnicity, creed, color, religion, alienage or national origin, ancestry, citizenship status, language, age, disability, political affiliation, sex, socio-economic status, marital status, veteran status, sexual orientation, gender identity or expression, genetic information, arrest record, or any other characteristic protected by applicable federal, state or local laws. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. This job description is not intended to be a comprehensive list of all tasks and responsibilities; other responsibilities may be assigned throughout employment.

Major Duties<ul><li>Serves as a Senior Data Scientist leading teams for the most complex projects. May also serve as a team participant or an independent analyst on professional data science teams.</li><li>Applies the rigors of the data science discipline to data analysis in Cyber, Information Technology and economic analyses of complex and potentially controversial major information technology systems and networks.</li><li>Responsible for advanced level data science analytics characterized as highly unstructured and complex, having little definition or clarity, and especially complex analytic projects assigned to the organization.</li><li>Provides business metrics and support for the most complex projects to identify improvements (contribution to the improvement should be monitored initially and over multiple iterations).</li><li>Coordinates with the data steward to ensure that the information used follows the regulatory and security policies in place.</li><li>Qualify where information can be stored or what information, external to the organization, may be used in support of the use case.</li><li>Lead analytical projects, providing direction and guidance to project members of a professional nature in the execution and implementation of projects.</li></ul>Qualifications/ Specialized ExperienceWho May Apply: Only applicants who meet one of the employment authority categories below are eligible to apply for this job. You will be asked to identify which category or categories you meet, and to provide documents which prove you meet the category or categories you selected. See Proof of Eligibility for an extensive list of document requirements for all employment authorities. Current Army Cyber Excepted Service (CES) Employee Current Army Defense Civilian Intelligence Personnel System (DCIPS) Employee Current Civilian Employees of the Organization Applying to Cyber Excepted Service (CES) Positions Current Department of Army Civilian Employees Current DoD Cyber Excepted Service (CES) Employee (non-Army) Current DoD Defense Civilian Intelligence Personnel System (DCIPS) Employee (non-Army) Current Permanent DoD Civilian Employee (non-Army) Applying to Cyber Excepted Service Positions Non-Department of Defense (DoD) Transfer Applying to Cyber Excepted Service Positions Army CES positions apply Veteran's Preference to preference eligible candidates, as defined by Section 2108 of Title 5 U.S.C., in accordance with the procedures provided in DoD Instruction 1400.25, Volume 3005, "CES Employment and Placement". If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you must submit documents verifying your eligibility with your application package. In order to qualify, you must meet the education and experience requirements described below. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student; social). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is in this document. Basic Requirement for Data Scientist: A. Degree: Bachelor's degree (or higher degree) in in mathematics, statistics, computer science, data science or field directly related to the position. OR B. Combination of Education and Experience: Courses equivalent to a major field of study (30 semester hours) as shown in A above, plus appropriate experience or additional education. In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: GG-11 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) assisting with analyzing data in cyber, information technology, or other areas to ensure plans meet programming requirements; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) working on a team providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-12 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) analyzing data in cyber, information technology and/or economic information to ensure plans meet programming or budgetary requirements; (2) providing business metrics and support for complex projects to identify needed improvements; (3) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-13 Qualifying Experience: To qualify based on your experience, your resume must describe two years of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) leading teams in analyzing data in cyber, information technology to ensure plans meet programming; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research; (5) ensuring information used is in compliance with regulations and security policies.

Goodwill Industries of Kentucky is looking for an energetic, self-motivated, detail-oriented Data Scientist to join our growing dynamic team! The Data Scientist reports to the Vice President of Information Technology. This position will join our newly formed data analytics team and contribute to data-driven initiatives focusing on Mission outcomes. The Data Scientist will analyze large datasets, build predictive models, and generate actionable insights that drive business strategies and operational improvements. The person will work closely with various teams to help make data-informed decisions aligned with the organization's goals. Goodwill's Mission is to connect Kentucky job seekers with the resources and services they need to find and maintain long-term employment and a career path. We serve Kentuckians who have disabilities or experience other challenges finding success in the workforce, such as criminal backgrounds, language barriers, limited education, lack of transportation and chronic poverty. Job Type: Full-time, Exempt Essential Duties and Tasks: <ul><li>Collaborate with stakeholders across departments to understand business problems and develop data solutions.</li><li>Analyze large and complex datasets to identify patterns, trends, and opportunities.</li><li>Design, develop, and implement predictive models, machine learning algorithms, and statistical analysis techniques.</li><li>Conduct exploratory data analysis (EDA) and feature engineering to prepare data for modeling.</li><li>Build and maintain data pipelines in collaboration with data engineers.</li><li>Communicate complex analytical insights in a clear and concise manner to non-technical stakeholders.</li><li>Create data visualizations, dashboards, and reports to track and monitor key performance metrics.</li><li>Continuously improve models and algorithms by testing and fine-tuning them based on real-world data.</li><li>Stay up-to-date with the latest advancements in data science and technology to recommend new tools and approaches.</li><li>Collaborate with various departments to identify third-party data requirements and integrate external data sources, including but not limited to the Kentucky Cabinet for Education and Labor, the Department of Justice, and the Department of Labor.</li></ul> Education and Experience: <ul><li>Bachelor's or master's degree in data science, Computer Science, Statistics, Mathematics, or a related field required.</li><li>4+ years of experience in data science, analytics, or a related field.</li><li>Proficiency in Python or R and data science libraries</li><li>Strong SQL skills for querying databases.</li><li>Experience with data visualization tools like Tableau, Power BI, or similar.</li><li>Solid understanding of machine learning techniques (e.g., regression, clustering, classification) and experience applying them in real-world settings.</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li><li>Knowledge of statistical methods and techniques.</li></ul> Benefits: <ul><li>403(b) Plan</li><li>Company 403(b) Matching Contributions</li><li>Tuition Reimbursement</li><li>Medical, Prescription, Dental & Vision Insurance</li><li>Generous Vacation Time & 8 Paid Holidays</li><li>Short and Long-Term Disability Insurance</li><li>Life, Dependent Life and AD&D Insurance</li><li>Voluntary Term Life Insurance</li></ul> Goodwill Industries of Kentucky is an EEO/AA employer - M/F/Veteran/Disability/Sexual Orientation/Gender Identity Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

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Data Scientist Jobs in Louisville

Senior Data ScientistNovember 15, 2024

Data Scientist RemoteNovember 14, 2024

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