Data Scientist /Fractional/

About RevOpsforce:RevOpsforce is a revenue operations workforce management firm supporting clients to unlock revenue potential through solutions that better align people, processes, data, and technology. We empower organizations with cutting-edge revenue operations management systems, seamlessly aligning sales, marketing, and customer service teams to unlock increased revenue and elevate overall company value. Whether their focus is on enhancing existing revenue generation, streamlining operations through specialized services, refining data management, or optimizing marketing and sales processes, we are their partner for agile and strategic growth support.Our Expert Network is composed of the highest skilled and certified professionals in revenue operations. We leverage this network to solve our clients' most complex operational challenges.Type:Fractional - Expert NetworkJob Description:We are looking for an experienced Data Scientist who will lead our data-driven initiatives to extract valuable insights, patterns, and trends from complex datasets, empowering our clients to make informed strategic decisions. You will leverage your deep analytical skills to collaborate with cross-functional teams and employ advanced statistical and machine learning techniques to uncover actionable insights that drive revenue growth.Responsibilities:Lead end-to-end data science projects, from defining objectives to data collection, exploration, model development, validation, and deployment.Collaborate with domain experts and business stakeholders to understand revenue-related challenges and formulate data-driven solutions.Apply advanced statistical and machine learning techniques to analyze large datasets, identifying patterns and trends that impact revenue generation and operations.Develop predictive and prescriptive models to forecast customer behavior, optimize pricing strategies, and enhance customer engagement.Design and implement A/B tests and experiments to validate hypotheses and quantify the impact of strategic changes.Clean, preprocess, and manipulate data to ensure data quality and suitability for analysis and modeling.Visualize findings and insights to effectively communicate results to both technical and non-technical audiences.Mentor junior data scientists, providing technical guidance, fostering skill development, and promoting a culture of innovation.Qualifications:Master's or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field.7+ years of hands-on experience in data science, working with large datasets, and applying advanced analytical methods.Proficiency in programming languages such as Python or R, along with experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).Extensive experience with machine learning algorithms, model development, and evaluation techniques.Strong knowledge of statistical analysis, hypothesis testing, and experiment design.Proficiency in data visualization tools such as Matplotlib, Seaborn, or similar libraries.Experience with SQL and relational databases for data extraction and manipulation.Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure) is a plus.Excellent problem-solving skills and ability to translate business problems into analytical solutions.Effective communication skills to convey complex technical concepts to diverse audiences.Demonstrated experience in leading data science projects and mentoring junior team members.Published research, relevant certifications, and contributions to the data science community are advantageous.The Expert Network at RevOpsforceThe new world of work is empowering, where the freedom to work on your terms has never been more attainable. Embrace the flexibility to choose where, when, and how you work, all within the evolving landscape of the gig economy and dynamic employee-employer relationships. At RevOpsforce, our commitment lies in crafting agile working arrangements that open doors to a wealth of contract opportunities, now easily accessible to you.What to Expect:Project-based work:Apply your RevOps expertise to various client projects, with engagements lasting multiple months.Flexible schedule : Maintain a healthy work-life balance with a schedule ranging from 10-40 hours per week. Projects may not be consecutive, allowing you to structure your workweek as needed. This provides you with the freedom to pursue other interests or professional development during gaps between projects.Continuous learning : Network with other top-tier RevOps professionals, fostering a collaborative environment for skill development and staying current in the industry.Who We're Looking For:The Expert Network seeks passionate RevOps professionals with:Strong experience in revenue operations functionsA desire to contribute to impactful projectsA commitment to staying current in the RevOps landscapeA preference for a self-directed, project-based work styleJoin the Movement:The RevOpsforce Expert Network allows you to:Contribute to the success of our clients through strategic RevOps initiatives.Maintain work-life balance with a flexible schedule you control.Continuously develop your skills through collaboration with a skilled community.Be at the forefront of the evolving RevOps landscape.Curate your workload: The project-based nature, with potential gaps between engagements, allows you to manage your time effectively and pursue other opportunities or personal interests.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Visit us at www.revopsforce.com#J-18808-LjbffrOriginal job Data Scientist /Fractional/ posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.