About Finfare Finfare is dedicated to empowering SMBs, by providing the ultimate expense management solution for growing businesses seeking to streamline their financial operations and maximize cash back rewards. Finfare offers easy expense tracking, personalized spend controls, seamless accounting integration, powerful analytics, and reliable charge card services. Our cardholders can tap into our vast network of reward program publishers and card-linked merchant offers, ensuring even bigger cash back rewards for their business. We are always working on redefining the boundaries of digital financial services and aim to stay one step ahead in the ever-evolving fintech landscape. Joining Finfare allows you to become part of a rapidly growing organization, grow to your full potential, and be a part of the next big thing. Finfare is proud to be recognized as a Great Place To Work recipient in 2024, with a majority of our employees praising Finfare's strong internal culture and supportive team members. About the Role We are seeking a seasoned Principal Data Scientist specializing in marketing and credit risk analytics to join our Data Science team at Finfare. In this high-impact role, you will own and optimize our end-to-end data analytics ecosystem to drive proactive insights and strategic recommendations across various functions, including Product, Risk Management, Marketing, Finance, and Operations. You'll play a critical role in achieving Finfare's key objectives, such as growth, engagement, and revenue maximization, by designing data-driven predictive models and analytics solutions that align with our overarching company goals. Responsibilities Data Strategy and Insights: Develop a deep understanding of Finfare's data landscape to identify opportunities for analytics-driven improvements. Deliver actionable recommendations to stakeholders across multiple teams to support company-wide objectives. Cross-Functional Collaboration: Partner closely with Product, Marketing, Finance, Risk, and Operations to define and track metrics that directly impact Finfare's KPIs related to user growth, engagement, and revenue. Advanced Modeling and Analytics: Leverage advanced statistical and machine learning techniques to build prediction models for credit underwriting, performance marketing, customer lifetime value, and offer recommendation systems. Optimize these models to ensure their relevance and accuracy in driving business outcomes. Business Impact Analysis: building P&L forecasting models to analyze and communicate how key initiatives influence Finfare's top-line and bottom-line metrics, providing data-backed recommendations that support company growth. Strategic Planning and Leadership Influence: Act as a thought leader by presenting data-driven insights and recommendations to senior leadership, influencing strategic decisions to maximize growth and engagement. Continuous Improvement: Continuously monitor and refine analytics processes to improve data accuracy, scalability, and accessibility across the organization. Additional Duties: Perform other duties as assigned. Qualifications and Requirements Experience: 8 years of experience in data science, analytics, with a successful track record of driving top-line and bottom-line impact, preferably within the financial services industry Technical Skills: Proficient in advanced data analysis tools and programming languages such as SQL, Python, or SAS, and experienced in developing and implementing machine learning models (minimum 5 years experience). Business Acumen: Demonstrated ability to translate complex data insights into strategic recommendations, especially in areas like performance marketing, ROI, LTV, forecasting, and recommendation systems. Cross-Functional Influence: Proven experience collaborating effectively across Product, Marketing, Risk, Finance, and Operations, with the ability to influence senior leadership. Problem Solving: Strong analytical and problem-solving skills, with a proactive approach to identifying opportunities for data-driven improvements. Communication: Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to non-technical audiences. Bonus Points: Strong data analysis and visualization skills Practical knowledge of data engineering A proactive and open mindset with a willingness to learn and adapt to emerging technologies and techniques Compensation: The salary range for this position is $150K-$200K (Depending on experience and level assessed post interviews) Benefits at Finfare Competitive Health, Vision, and Dental benefits (covering 100% premium for employee and all dependent(s)) 401K (Employer matching) Employee Stock Purchase Plan (if applicable) Health and Wellness reimbursement Catered lunches Hybrid or remote - depending on the role Work Sponsorship (if applicable) Other Employee Perks As part of our dedication to the diversity of our workforce, Finfare is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. Physical Demands This is sedentary work which requires the following physical activities: reaching, sitting, lifting (≤25 pounds), finger dexterity, grasping, feeling, repetitive motions, talking, hearing and visual acuity. Work Environment Well-lighted, heated and/or air-conditioned indoor office setting with adequate ventilation. Somewhat quiet but can be boisterous at times. Attire is business casual.

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution.Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time . At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We value open communication, mutual trust, and respect. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates. Requisition ID:73432 Sr. Data Scientist We are seeking a highly skilled and motivated Data Scientist to join our team. This is an impactful and rewarding position and is ideal for candidates with a strong background in machine learning and data science. The successful candidate will be instrumental in applying problem-solving skills and technical expertise to real-world challenges, directly impacting the company's business goals. Key Responsibilities Design and implement sophisticated machine learning models and algorithms. Manage the full machine learning pipeline, including data collection, preprocessing, development, evaluation, and deployment. Collaborate with cross-functional teams to integrate technical solutions into business operations. Analyze extensive datasets to identify trends and patterns, and preprocess data for enhanced model accuracy and efficiency. Proactively address complex business challenges using machine learning techniques and innovate creative solutions to improve the company's operations. Stay current with advancements in machine learning and engage in research for new methodologies applicable to the business objectives. Qualifications Master and 6 years experience or Ph.D. in Computer Science, Machine Learning, Statistics, or a closely related field (strongly preferred). Minimum 2 years of experience in machine learning, particularly in designing and implementing models in a production environment. Proficiency in programming languages such as Python, R, or Java, and familiarity with machine learning frameworks. Deep understanding of machine learning algorithms, data structures, and software development principles. Experience with big data technologies and cloud platforms is an advantage. Preferred Skills Strong analytical and problem-solving skills. Excellent communication skills, capable of conveying complex concepts to non-technical stakeholders. Ability to work independently as well as collaboratively in a team environment. Demonstrated potential for leadership and management capabilities. LI-JR1 The typical base pay range for this role across the U.S. is currently USD$112,500 -$215,900 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance. Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodationsskyworksinc.com.

Since 2010 and almost 14 years SynergisticIT has helped Jobseekers get employed in the tech Job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Post Covid the tech Layoffs have been massive-In 2022 there were 165,269 tech layoffs, In 2023 there were 264,220 tech layoffs and so far in 2024 there have been 126,382 tech layoffs. (Source Layoffs.fyi ) -Total layoffs as per this 555,871 tech layoffs. Client, Dell and Cisco have announced 15,000/12,500 and 4000 tech layoffs respectively in August. The Job market is Hyper Competitive. For 1 position 500-2000 candidates or more are applying and laid off job seekers are also competing for entry level Job positions. Acquiring the right technology skillsets which are being demanded by clients and getting yourself in front of clients is the way to get to get Interviews and eventually a Job Offer. Survival of the Fittest is the only way to get a tech Job in this job market. In this Layoffs fueled market also SynergisticIT's candidates are able to achieve multiple job offers and $100k salaries once they acquire the required skills. please check the below links to see success outcomes, salaries of our candidates . https://www.synergisticit.com/candidate-outcomes/ We regularly interact with the Top Tech companies to give our candidates a competitive advantage-Please visit the below videos exhibiting at Oracle Cloud world /Oracle Java one (Las vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023 https://synergisticit.wistia.com/medias/tmwjwchxz5 https://synergisticit.wistia.com/medias/n8487768di https://synergisticit.wistia.com/medias/o5gmv7i9eu https://synergisticit.wistia.com/medias/k6t6a1n4kb https://synergisticit.wistia.com/medias/pgrvq4fgni https://synergisticit.wistia.com/medias/ce4syhm853 All Positions are open for all visas and US citizens We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates REQUIRED SKILLS For Java /Full stack/Devops Positions Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Knowledge of Core Java , javascript , C++ or software programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience For data Science/Data Analyst/AI/Machine learning Positions REQUIRED SKILLS Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidate.

About Ascent Ascent Developer Solutions is a leading private lending platform, serving real estate developers nationwide in the acquisition, renovation, and construction of residential real estate. Founded by a leadership team with a deep understanding and personal experience in virtually every facet of real estate development, Ascent is uniquely positioned to create custom, innovative lending solutions for a variety of real estate development business strategies. The Role The Data Scientist is a major contributor in driving our company's innovation and data-driven decision-making. By harnessing advanced analytics, automation, machine learning, and big data technologies, this role directly impacts strategic business outcomes, revealing actionable insights and predicting trends that shape the future of our operations. Embedded at the intersection of data and strategy, the Data Scientist empowers the organization to navigate complex challenges, optimize performance, and unlock new growth opportunities. The Work Lead end-to-end data science projects, including problem scoping, data collection, data exploration, model selection, and performance evaluation. Develop and deploy machine learning models to solve real-world business problems, such as predictive modeling, valuation of properties, time series forecasts, etc. Perform advanced statistical analyses and hypothesis testing, including A/B testing, multivariate testing, and causal inference, to support product and business optimization. Work closely with cross-functional teams (engineering, sales, marketing, etc.) to understand business requirements and design data science solutions accordingly. Collaborate with data engineers to understand data sources/ pipelines, and to deploy models into production Your Skills and Experience Experience working with real estate data Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field, Masters degree is a plus. 7 years of experience in a data science role, with a proven track record of building and deploying models into production Proficient in statistics and machine learning algorithms such as ensemble modeling, survival analysis, NLP, and computer vision. Understanding of LLMs is a plus Proficiency in Python for data analysis and model development. Proficient in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch, iGraph) Advanced knowledge of SQL and experience working with large databases and distributed computing (e.g., Hadoop, Spark). Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus. Excellent communication skills, with the ability to explain complex data insights to non-technical stakeholders. The Pay Salary range is $150k-$160k per year, with a discretionary bonus adding up to 25% per year Ascent's Benefits We offer a comprehensive benefits package designed to support your health, well-being, and work-life balance. Our benefits include five health plans, four dental plans, health savings and flexible spending accounts, vision coverage, 401k, pet insurance, and other optional benefits to choose from. Ascent's Pledge We pledge to be fair and considerate in hiring and promoting individuals, ensuring everyone can contribute their fullest potential regardless of background, identity, or personal circumstances. By promoting equal opportunity, we not only enhance our workplace but also contribute to a more just and equitable society. At Ascent, we stand united in building a community where everyone is empowered to succeed. Thank you for joining us on our journey towards a more inclusive future.

Position Summary: Irvine Company is on a journey to transform its digital capabilities and is looking for a Data Scientist to implement impactful advanced analytics initiatives across our real estate divisions (Apartments, Office, Retail and Community Development). In this role, you will collaborate with cross-functional teams to build and deploy Artificial Intelligence (AI) and Machine Learning (ML) solutions that will empower operational effectiveness, efficiencies or enhance the customer experience. As a key member of the growing Data & Analytics organization, you will work with business stakeholders throughout the Company to develop, maintain, and communicate an AI/Analytics roadmap, ensuring alignment with leadership and internal stakeholders as you manage a growing portfolio of opportunities. This is an individual contributor role that balances hands-on data science work with effective project planning and close collaboration with our lines of business and other data team members. Strong communication and project management skills are essential to ensure successful execution and long-term impact. Job Duties: Design, create, test, and deploy complex AI/ML models (including Gen AI) to drive enterprise solutions and enhance the Company's financial performance. Work with large and complex data sets, including structured and unstructured data (e.g., images, videos, text) to solve a wide array of challenging business and technical problems using diverse analytical and statistical methods. Apply technical expertise in quantitative analysis, experimentation, and data mining to identify actionable insights and develop strategies that improve profitability, investment, and tenant/customer experience outcomes. Develop and implement advanced statistical and ML algorithms to provide actionable insights, identify emerging trends, and optimize decision-making. Collaborate with business stakeholders, translators, and technical teams to deliver scalable, sustainable, and impactful AI/ML solutions. Coordinate with data team(s) to integrate advanced AI/ML models into production environments. Ensure regular maintenance, testing, and iterative improvement of deployed AI/ML models to maintain optimal performance and adapt to evolving business/data trends. Understand and apply various statistical methods for Exploratory Data Analysis (EDA), hypothesis testing, and drawing meaningful conclusions. Guide models to master the theory and application of supervised, unsupervised, and reinforcement learning algorithms for tasks like classification, regression, and clustering. Communicate model insights and business impact to wide audiences using clear and informative visualizations. Ensure the ethical implications of data science, including bias detection, fairness, and responsible data handling are incorporated into models. Serve as industry thought leader in data science and apply deep expertise to drive novel customer experiences. Technical Expertise: Strong mathematical foundation (calculus, linear algebra, probability, and statistics). Extensive knowledge in using Python libraries to perform uni/multivariate analysis, building advanced ML models. Experience with common data science tools in addition to Python such as R, PyTorch, TensorFlow, Keras, NLTK, or spaCy and data manipulation via SQL. Experience working with large data sets and distributed computing technologies (Snowflake, BigQuery, etc.). Knowledge and experience in Cloud Environments (GCP). Ability to source and integrate data from multiple source types, including databases, files, APIs and logs. Understand ML concepts and has applied one or more Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory in real-world applications to solve business problems. Minimum Qualifications / Other Expectations: Bachelor's degree in Data Science, Computer Science, AI, Statistics, Engineering, or other quantitative field; Master's or PhD in AI, ML, or a related technical discipline. Minimum of 8-10 years of experience in data analytics, data mining, ML, and has employed predictive, prescriptive, conversational or generative AI to solve business problems. Proficiency in machine learning, deep learning, statistics, optimization, and large-scale data analysis. Experience with generative models (GANs, Transformer models, RAG, agentic models, etc.), reinforcement learning, and advanced AI techniques. Strong understanding of Agile methodologies and openness to working in Agile environments with multiple stakeholders. Professional attitude and service orientation; team player; high degree of independence and ownership. Exceptional verbal and written communication skills. Quick learner of business needs; able to quickly translate needs to potential analytics solutions. Strong work ethic; ability to work at an abstract level and gain consensus. Able to build a sense of trust and rapport that creates a comfortable and effective workplace. Open minded to new technology and approaches of learning. Experience working in Real Estate or adjacent industries. Compensation: Base Pay Range: $216,000.00 - $262,300.00 Actual placement within this range may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location. The Company also offers competitive benefits for full time employees including paid time off, matching 401(k), and health benefits. About Us: Irvine Company is a privately held real estate investment company and master-planner committed to creating and sustaining communities that thrive for generations. Irvine Company is respected for its master planning and environmental stewardship of the Irvine Ranch in Orange County, including diversified operations throughout coastal California. Irvine Company brings to life neighborhoods and sustainable communities with a full range of housing, jobs, retail centers, schools, parks and open space. We take as much pride in our employee community as we do the communities we create. It's an environment populated with talented and experienced people, a collaborative spirit and abundant opportunities. Apply today to join our employee community, and learn more about Irvine Company, our legacy and our guiding principles. Irvine Company is committed to providing equal opportunity in all of our employment practices, including selection, hiring, promotion, transfer, compensation, termination, and training, without regard to race, religion, color, sex, sexual orientation, gender, gender identity, national origin, ancestry, citizenship status, marital status, pregnancy, age, medical condition, genetic information, military and veteran status, disability, or any other basis protected by federal, state, and local law. Reasonable accommodation is available for qualified individuals with disabilities, upon request. LI-Onsite

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life. What you'll be doing The Artificial Intelligence and Data Network Enablement team is responsible for new AI use cases for the Verizon network, creating new models that improve the customer experience. Youll use your knowledge of network performance and AI/ML to interface with other teams and executives. Youll innovate and develop creative and effective ways to change current processes. Driving data-derived insights across the business domain by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives. Directing data gathering, assessing data validity and synthesizing data into large analytics datasets to support project goals. Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling. Preparing all the supporting documents and reports. Create Visualizations from modeled data for executive and engineer consumption. What we're looking for You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML application in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions. You'll need to have: Bachelor's degree or six or more years of work experience. Six or more years of relevant work experience. Four or more years of experience in advanced analytics/ predictive modeling in a consulting role. Experience with all phases of end-to-end Analytics project Experience building models using statistical techniques such as Supervised and Unsupervised Machine Learning models, Deep learning, Text classification etc. Knowledge of Python, Sql, PySpark, Scala and/or other languages and tools. Even better if you have one or more of the following: Master's degree. Four or more years of Wireless Network (Telecom or Routing) experience Experience working in analytical projects in the telecom domain. Accuracy and attention to detail. Experience in data lake (hadoop), SQL, ETL. Problem solving, analytical, and research skills. Excellent verbal and written communication. Experience presenting to and influencing functional leaders and partners. Ability to work effectively independently and willingness to learn new technologies. Experience working with cross-functional teams in a dynamic environment. Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Were proud to be an equal opportunity employer - and celebrate our employees differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more. Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefits, short term incentives, 401(k) Savings Plan, stock incentive programs, paid time off, parental leave, adoption assistance and tuition assistance, plus other incentives, weve got you covered with our award-winning total rewards package. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. If you are hired into a California, Colorado, Connecticut, Hawaii, Maryland, Nevada, New York, Rhode Island, Washington or Washington, D.C. work location, the compensation range for this position is between $126,000.00 and $234,000.00 annually based on a full-time schedule. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part time roles, your compensation will be adjusted to reflect your hours.

About Finfare Finfare is dedicated to empowering SMBs, by providing the ultimate expense management solution for growing businesses seeking to streamline their financial operations and maximize cash back rewards. Finfare offers easy expense tracking, personalized spend controls, seamless accounting integration, powerful analytics, and reliable charge card services. Our cardholders can tap into our vast network of reward program publishers and card-linked merchant offers, ensuring even bigger cash back rewards for their business. We are always working on redefining the boundaries of digital financial services and aim to stay one step ahead in the ever-evolving fintech landscape. Joining Finfare allows you to become part of a rapidly growing organization, grow to your full potential, and be a part of the next big thing. Finfare is proud to be recognized as a Great Place To Work recipient in 2024, with a majority of our employees praising Finfare's strong internal culture and supportive team members. About the Role We are seeking a seasoned Principal Data Scientist specializing in marketing and credit risk analytics to join our Data Science team at Finfare. In this high-impact role, you will own and optimize our end-to-end data analytics ecosystem to drive proactive insights and strategic recommendations across various functions, including Product, Risk Management, Marketing, Finance, and Operations. You'll play a critical role in achieving Finfare's key objectives, such as growth, engagement, and revenue maximization, by designing data-driven predictive models and analytics solutions that align with our overarching company goals. Responsibilities Data Strategy and Insights: Develop a deep understanding of Finfare's data landscape to identify opportunities for analytics-driven improvements. Deliver actionable recommendations to stakeholders across multiple teams to support company-wide objectives. Cross-Functional Collaboration: Partner closely with Product, Marketing, Finance, Risk, and Operations to define and track metrics that directly impact Finfare's KPIs related to user growth, engagement, and revenue. Advanced Modeling and Analytics: Leverage advanced statistical and machine learning techniques to build prediction models for credit underwriting, performance marketing, customer lifetime value, and offer recommendation systems. Optimize these models to ensure their relevance and accuracy in driving business outcomes. Business Impact Analysis: building P&L forecasting models to analyze and communicate how key initiatives influence Finfare's top-line and bottom-line metrics, providing data-backed recommendations that support company growth. Strategic Planning and Leadership Influence: Act as a thought leader by presenting data-driven insights and recommendations to senior leadership, influencing strategic decisions to maximize growth and engagement. Continuous Improvement: Continuously monitor and refine analytics processes to improve data accuracy, scalability, and accessibility across the organization. Additional Duties: Perform other duties as assigned. Qualifications and Requirements Experience: 8 years of experience in data science, analytics, with a successful track record of driving top-line and bottom-line impact, preferably within the financial services industry Technical Skills: Proficient in advanced data analysis tools and programming languages such as SQL, Python, or SAS, and experienced in developing and implementing machine learning models (minimum 5 years experience). Business Acumen: Demonstrated ability to translate complex data insights into strategic recommendations, especially in areas like performance marketing, ROI, LTV, forecasting, and recommendation systems. Cross-Functional Influence: Proven experience collaborating effectively across Product, Marketing, Risk, Finance, and Operations, with the ability to influence senior leadership. Problem Solving: Strong analytical and problem-solving skills, with a proactive approach to identifying opportunities for data-driven improvements. Communication: Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to non-technical audiences. Bonus Points: Strong data analysis and visualization skills Practical knowledge of data engineering A proactive and open mindset with a willingness to learn and adapt to emerging technologies and techniques Compensation: The salary range for this position is $150K-$200K (Depending on experience and level assessed post interviews) Benefits at Finfare Competitive Health, Vision, and Dental benefits (covering 100% premium for employee and all dependent(s)) Unlimited PTO 401K (Employer matching) Employee Stock Purchase Plan (if applicable) Health and Wellness reimbursement Catered lunches Hybrid or remote - depending on the role Work Sponsorship (if applicable) Other Employee Perks As part of our dedication to the diversity of our workforce, Finfare is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. Physical Demands This is sedentary work which requires the following physical activities: reaching, sitting, lifting (≤25 pounds), finger dexterity, grasping, feeling, repetitive motions, talking, hearing and visual acuity. Work Environment Well-lighted, heated and/or air-conditioned indoor office setting with adequate ventilation. Somewhat quiet but can be boisterous at times. Attire is business casual.

About Finfare Finfare is dedicated to empowering SMBs, by providing the ultimate expense management solution for growing businesses seeking to streamline their financial operations and maximize cash back rewards. Finfare offers easy expense tracking, personalized spend controls, seamless accounting integration, powerful analytics, and reliable charge card services. Our cardholders can tap into our vast network of reward program publishers and card-linked merchant offers, ensuring even bigger cash back rewards for their business. We are always working on redefining the boundaries of digital financial services and aim to stay one step ahead in the ever-evolving fintech landscape. Joining Finfare allows you to become part of a rapidly growing organization, grow to your full potential, and be a part of the next big thing. Finfare is proud to be recognized as a Great Place To Work recipient in 2024, with a majority of our employees praising Finfare's strong internal culture and supportive team members. About the Role We are seeking a seasoned Principal Data Scientist specializing in marketing and credit risk analytics to join our Data Science team at Finfare. In this high-impact role, you will own and optimize our end-to-end data analytics ecosystem to drive proactive insights and strategic recommendations across various functions, including Product, Risk Management, Marketing, Finance, and Operations. You'll play a critical role in achieving Finfare's key objectives, such as growth, engagement, and revenue maximization, by designing data-driven predictive models and analytics solutions that align with our overarching company goals. Responsibilities Data Strategy and Insights: Develop a deep understanding of Finfare's data landscape to identify opportunities for analytics-driven improvements. Deliver actionable recommendations to stakeholders across multiple teams to support company-wide objectives. Cross-Functional Collaboration: Partner closely with Product, Marketing, Finance, Risk, and Operations to define and track metrics that directly impact Finfare's KPIs related to user growth, engagement, and revenue. Advanced Modeling and Analytics: Leverage advanced statistical and machine learning techniques to build prediction models for credit underwriting, performance marketing, customer lifetime value, and offer recommendation systems. Optimize these models to ensure their relevance and accuracy in driving business outcomes. Business Impact Analysis: building P&L forecasting models to analyze and communicate how key initiatives influence Finfare's top-line and bottom-line metrics, providing data-backed recommendations that support company growth. Strategic Planning and Leadership Influence: Act as a thought leader by presenting data-driven insights and recommendations to senior leadership, influencing strategic decisions to maximize growth and engagement. Continuous Improvement: Continuously monitor and refine analytics processes to improve data accuracy, scalability, and accessibility across the organization. Additional Duties: Perform other duties as assigned. Qualifications and Requirements Experience: 8 years of experience in data science, analytics, with a successful track record of driving top-line and bottom-line impact, preferably within the financial services industry Technical Skills: Proficient in advanced data analysis tools and programming languages such as SQL, Python, or SAS, and experienced in developing and implementing machine learning models (minimum 5 years experience). Business Acumen: Demonstrated ability to translate complex data insights into strategic recommendations, especially in areas like performance marketing, ROI, LTV, forecasting, and recommendation systems. Cross-Functional Influence: Proven experience collaborating effectively across Product, Marketing, Risk, Finance, and Operations, with the ability to influence senior leadership. Problem Solving: Strong analytical and problem-solving skills, with a proactive approach to identifying opportunities for data-driven improvements. Communication: Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to non-technical audiences. Bonus Points: Strong data analysis and visualization skills Practical knowledge of data engineering A proactive and open mindset with a willingness to learn and adapt to emerging technologies and techniques Compensation: The salary range for this position is $150K-$200K (Depending on experience and level assessed post interviews) Benefits at Finfare Competitive Health, Vision, and Dental benefits (covering 100% premium for employee and all dependent(s)) Unlimited PTO 401K (Employer matching) Employee Stock Purchase Plan (if applicable) Health and Wellness reimbursement Catered lunches Hybrid or remote - depending on the role Work Sponsorship (if applicable) Other Employee Perks As part of our dedication to the diversity of our workforce, Finfare is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, physical or mental disability, medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. Physical Demands This is sedentary work which requires the following physical activities: reaching, sitting, lifting (?25 pounds), finger dexterity, grasping, feeling, repetitive motions, talking, hearing and visual acuity. Work Environment Well-lighted, heated and/or air-conditioned indoor office setting with adequate ventilation. Somewhat quiet but can be boisterous at times. Attire is business casual.

SYNERGISTICIT wants every candidate to know that the Job Market is Challenging and to stand out, you need to have exceptional skills and technologies and that's where we come in to make sure you get the attention which you need SynergisticIT understands the complex nature of the job market and how difficult it can be to secure a position, especially for fresh graduates. Therefore, we assist and help tech-savvies to convert their passions into professions. We go above and beyond to keep you working in your niche. As we focus on long-term success, we provide complete career development solutions. From job search to upskilling portfolio and interview preparation, we can guide you at every step of your career. SynergisticIT spares no efforts to connect you with a large network of tech giants, including Google, Apple, PayPal, Dell, Cisco, Client, etc. Presently, we are actively looking for entry-level Java Developers with a driven mindset. Get the right opportunity and gain experience in building web-centric solutions on Java. Who Should Apply : Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or anyone looking to make their career in IT Industry We also assist in filing for STEM extension and H1b and Green card filing. Candidates who are serious about their future in the IT Industry and have set big goals for themselves. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer Skill Enhancement Programs if the candidates are missing skills or experience which our clients need with great outcomes Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement Candidates who Lack Experience Have had a break in careers Lack Technical Competency candidates who want to get employed and make a career in the Tech Industry Please also check the below links : https://www.synergisticit.com/candidate-outcomes/ https://www.synergisticit.com/java-track/ https://www.synergisticit.com/data-science-track/ https://www.synergisticit.com/which-is-the-best-option-for-tech-job-seekers-staffing-companies-consulting-companies-bootcamps-or-synergisticit/ https://www.synergisticit.com/contact-us/ If the skills are not a match candidates can opt for Skill enhancement. Or their resume can be sent out to clients to see if responses are achievable REQUIRED SKILLS For Java/Software Programmers : Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Knowledge of Core Java , javascript , C++ or software programming Spring boot, Microservices and REST API's experience Excellent written and verbal communication skills For data Science/Machine learning REQUIRED SKILLS Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Knowledge of Statistics, Python, data visualization tools Excellent written and verbal communication skills Preferred skills: NLP, Text mining, Tableau, Time series analysis Technical skills are required by clients for selection even if its Junior or entry level position each additional Technical skill helps a candidate's resume to be picked by clients over other job seekers. Clients hire candidates with the right technical skills which they need and reject candidates who lack the required technical skills. No third party candidates or c2c candidates Please apply to the posting No phone calls please. Shortlisted candidates would be reached out

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Data Scientist Jobs in East Irvine, CA

Senior Data ScientistDecember 10, 2024

Sr Data ScientistNovember 30, 2024

Data Scientistengineer EntryjuniorNovember 30, 2024

Senior Data ScientistNovember 30, 2024

Senior Director Data Scientist 21600000 26230000November 30, 2024

Principal Data ScientistNovember 29, 2024

Senior Data ScientistNovember 28, 2024

Senior Data ScientistNovember 24, 2024

Entry Level Data ScientistNovember 23, 2024