data scientist.baltimore , marylandposted 2 days agojob detailssummary$125,000 - $150,000 per yearpermanentbachelor degreecategory computer and mathematical occupationsreference1048928job detailsjob summary:We are adding a Data Scientist to a small and growing team of top performers focused on developing complex, AI-based algorithms and forecasting applications that drive a B2B software product used within the financial industry.In this role, you will be responsible for developing tools and models for exploratory data science research and driving the modernization, improvement, and expansion of existing models. The position requires close collaboration with other data scientists, data analysts/engineers, and software engineers.Essential Functions:As the Data Sciencist you will:Collaborate with other data scientists within the Product department along with researchers to understand their needs and requirements for exploratory data science research.Design, develop, and maintain intuitive, high impact models and model functionality that will drive outcomes produced by our primary productsOriginal Python-based code with a mind towards efficacy, efficiency, scalability, and robustness.Evaluate algorithm design and requirements for feasibility and efficiency.Continually stay updated with advancements and best practices in data science and software engineering, and advocate for their implementation.Required Education and ExperienceEstablished track record (5+ years) developing software and applications,including 4+ years of experience in developing highly complex, heavilyalgorithmic modesl in Python, RUST, R or other languages.Bachelor's or higher degree in a quantitative discipline (e.g., Computer Science, Engineering, Math, Physics).Experience developing quantitative and statistical models.Proficiency in Python, with a solid understanding of data science libraries such as Pandas, NumPy, and Scikit-learn.Knowledge of machine learning techniques and algorithms.Familiarity with version control systems such (e.g., Git, Bitbucket) and agilemethodologies and tools (JIRA).Problem-solving skills, attention to detail, and ability to handle multiple tasks simultaneously.Comfort with ambiguity in problem specification and emerging objectives.High level of pragmatism; able to varying levels of rigor appropriately to different projects based on the nature of the project and surroundingcircumstances.Nice to have...Experience with statistical and ML tools such as SAS, Dataiku, Matlab, etcKnowledge of cloud computing services like AWS.Experience modernizing and refactoring existing AI, ML, or general statistical models.Proficiency in SQL and experience with relational and NoSQL databases.location: BALTIMORE, Marylandjob type: Permanentsalary: $125,000 - 150,000 per yearwork hours: 9am to 5pmeducation: Bachelorsresponsibilities:Develop, modify, and enhance quantitiative and statistical models that drive a complex, decision logic engine.Perform complex mathematical and satistical analyses on a plethora of data types including operational, behavioral, and industry mandated.Research and recommend new tools and methods -- contribute to requirements analysis in support of enhancing existing tools, both custom internally built and widely distributed by third parties.Create proof of concepts (POCs) with languages like Python, R, or RUST.Contribute consustructive input towards the support and enhancement of existing data infrastructure, pipelines, and data mining techniques.Collaborate with teammates and colleagues to ensure the best possible product is developed for our customersCreate high value, easy to consume documentation, ensuring ease of support and business continuity for the product.qualifications:Experience level: ExperiencedMinimum 3 years of experienceEducation: Bachelorsskills:PythonEqual Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).Applications accepted on ongoing basis until filled.#J-18808-Ljbffrby Jobble

job summary:Bachelor's or Master's degree in engineering, statistics, or related field.Data visualization experience.Productionizing experience (building pipelines, deployment, automation, scaling, cloud integration, monitoring, MLOPS practices).Advanced coding skills utilizing Python and SQL.Understanding of codebase management concepts, code review, Github, and testing.Good working knowledge of Cloud platforms (GCP preferred), and Airflow DAG development.Understanding of data science concepts, statistics, and modeling.strong communication skills interfacing internal and external stakeholders.Proactive, curious team player with project management skills.Passionate about working in a fast-paced agile environment.location: Hoboken, New Jerseyjob type: Contractsalary: $68 - 78 per hourwork hours: 8am to 4pmeducation: Bachelorsresponsibilities:In this unique position, individual will be at the intersection on ML Engineering and Data Science, and perform tasks to support our advanced measurement products. strong technical skills combined with knowledge of ML engineering, data science/statistics concepts and great communication/interpersonal skills are key to success.qualifications:Experience level: ExperiencedMinimum 7 years of experienceEducation: Bachelorsskills: Data AnalysisPythonEqual Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).Applications accepted on ongoing basis until filled.#J-18808-Ljbffrby Jobble

Senior DS (Local only; San Bruno, CA)Responsibilities :<ul><li>Perform hands-on modeling and complex analyses using Python, SQL and/or R</li><li>Build and enhance media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes</li><li>Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations Marketing leadership and CMO</li><li>Present media mix insights to different levels of senior clients</li><li>Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems</li><li>Partner with cross-functional team to streamline data science solutions</li><li>Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization</li></ul>Minimum Qualifications<ul><li>Master's degree in statistics, economics, operations research, engineering, or related field</li><li>6+ years of industry experience in data science, measurement, marketing strategy & analytics</li><li>Strong communication skills to ‘tell a story’ that provides insight into the business</li><li>Proficient coding skills (SQL/Python/R) and database knowledge</li><li>Extensive experience with predictive modeling algorithms</li><li>Strong project management skills, including managing technical resources and multiple priorities & milestones.</li><li>You have a passion for working in a fast-paced agile environment.</li><li>A collaborative mindset and sense of curiosity</li></ul>Preferred Qualifications<ul><li>PhD degree in Statistics, Economics, Operations Research, or related field</li><li>Experienced in building market mix and multi-touch attribution models</li><li>Experience with advertising, measurement, and/or digital marketing analytics</li><li>Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.</li><li>Advanced programming skills with experience of creating Python modules</li><li>Experience with A/B and Multivariate test design and implementation</li></ul>

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